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Biosensors - Science topic

Device combination of biorecognition receptor and physicochemical transducer
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2025 5th International Conference on Bioinformatics and Intelligent Computing (BIC 2025) will be held on January 10-12, 2025 in Shenyang, China.
Conference Website: https://ais.cn/u/2qqmQv
---Call for papers---
The topics of interest for submission include, but are not limited to:
1. Bioinformatics
Algorithms, models, software, and tools in Bioinformatics
Any novel approaches to bioinformatics problems
Applications to diagnosis, prognosis, treatment, monitoring and rehabilitation
Biological devices/Biosensors and Molecular Diagnostics
Computational proteomics......
2. Bioinformatics & Intelligent Computing
Algorithms and Software Tools
Algorithms, models, software, and tools in Bioinformatics
Biostatistics and Stochastic Models
Computational evolutionary biology
Computational Intelligence
Computational Molecular Systems......
3. Intelligent Computing
Designing and building hardware & software systems processing,structuring
Managing various kinds of information
Scientific research
Making computer systems behave intelligently
Creating and using communications & entertainment media
---Publication---
All accepted full papers will be published in ACM ICPS (ACM International Conference Proceeding Series) and will be submitted to EI Compendex / Scopus for indexing.
---Important Dates---
Full Paper Submission Date: December 18, 2024
Notification Date: December 25, 2024
Final Paper Submission Date: December 30, 2024
Conference Dates: January 12-14, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
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Bonsoir chers collègues!
  • De nos jours l'intelligence artificielle trouve toute sa place, on ne cesse aussi d'en parler d'elle, les dirigeants des grandes nations sont entrain de la mettre en exergue.
  • Elle ouvre beaucoup d'horizons dans le domaine économique (agriculture, industrie, etc...).
  • Que peut on attendre encore de celle-ci (Intelligence artificielle I.A.)? Ces 02 décennies? Les recherches ont progressé énormément ou presque on peut dire, les méthodes de travail ont été valorisées grâce à elle, on gagne du temps, etc......
  • La biostatistique un outil fort utile surtout en biologie reste peut exploité, malgré l'apport qu'elle recèle avec l'interprétations des variables et des facteurs naturels pris en considération.
  • Celles-ci s'inscrivent dans les problématiques de recherche, enfin toute une montagne de connaissances là dessus demeure parfois le socle ou la grande solution pour l'analyse des travaux de recherche obtenus.
  • Bonne année 2025!!
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I have designed and simulated a FinFET based biosensor for sensing biomolecules with high dielectric constant (k) i.e. k ranging from 2-10 with the help of Silvaco Atlas. The simulation of FinFET biosensor is converging and working fine when the cavity is filled with air i.e. when k=1. However, when the cavity is filled with high k biosensor molecules the simulation is not converging although we have adjusted the meshing and used electric field dependent mobility and transport models and other recombination and tunneling models for the simulation. We have used the Newton and Gummel methods to solve the models in the simulation. Can anyone give me his/her most valuable suggestions to resolve out the problem issue?
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Can you share the Silvaco code to develop tfet as a biosensor
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I work with planar interdigitated electrodes (IDEs). The finger width and the spacing between the fingers are 5 micron. The surface of the IDEs is coated by a non-conductive polymer layer (thickness is around 300-900 nm). This polymer layer acts as a transducer, where it was developed to detect target components (bacteria in particular). This biosensor chip is used for (non-faradaic) capacitive detection of target bacteria. The EIS measurements are performed with PBS solution without using any redox probes (under 0 DC voltage), and two electrode concept is employed.
Regarding the AC amplitude, some reports in literature mentioned that higher (e.g., >50mV) AC amplitude is required due to the insulating polymer layer. Would you agree on this approach? How important do you think to optimise the AC amplitude to achieve the best sensing performance?
What are the key points to be considered while deciding the AC amplitude and How do you decide an optimal AC amplitude for non-faradaic electrochemical impedance spectroscopy?
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Hi,
I'm recently working on the EIS test on my gold IDEs (2.5 um width and 1.5 um spacing, coated with 5 nm PEG) using the 2-electrodes method. Regarding the AC amplitude, I used ~80 mV, and I observed the hydrolysis (gas bubbles came out from the electrodes). I'm very new to this experiment, so any suggestion from you will be appreciated!
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Has anyone worked on nanomaterials for biosensors? What challenges did you face in terms of sensitivity and specificity?
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Sensitivity improves due to Nano materials. But selectivity depends on the specifity of the antibodies in case of immunosensors.
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Recently, I have been working on photonic sensors, and my latest project involves an innovative design for a cancer detection sensor using a photonic ring resonator structure in a label-free setup. In biosensors, three key parameters determine sensor quality: Sensitivity, Quality Factor (QF), and Figure of Merit (FOM). My unique optimization approach has resulted in approximate values as follows:
  • Sensitivity (S): ~42-48 nm/RIU
  • Quality Factor (QF): ~480,000
  • Figure of Merit (FOM): ~13,000
Additionally, the structure achieves an impressive FWHM of 0.003 nm. For comparison, ideal ranges for these parameters typically are:
  • Sensitivity: 50–300 nm/RIU (ideal: 200–500 nm/RIU)
  • QF: 10,000–100,000 (ideal: >100,000)
  • FWHM: 0.01–0.1 nm (ideal: <0.01 nm)
  • FOM: 10–1000 RIU⁻¹ (ideal: >1000 RIU⁻¹ for high-precision sensors).
As the saying goes, “every achievement has its cost,” and there are always trade-offs in design. The high QF and FOM in my design highlight exceptional sensor performance, although the Sensitivity remains within an average range. Given these results, I am interested in feedback from the community—do you think these results are promising enough to submit for publication in journals focused on photonic sensors?
Please find attached the formulas for these parameters.
Your insights and suggestions would be greatly appreciated!
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Thank you for the insightful comment! I completely agree with your point regarding FWHM—achieving such a narrow value has indeed enhanced the detection accuracy and precision of resonance wavelength identification in the system. As for the sensitivity, despite trying various structural adjustments, material changes, and mode analyses, a significant improvement in sensitivity hasn’t been achieved yet. However, I appreciate your suggestion about further modifications. I’ll continue exploring new design approaches to enhance sensitivity and hopefully optimize the balance between accuracy and responsiveness. Your feedback is greatly valued!
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Hello everyone,
I’m exploring research in Virtual Reality (VR) combined with psychology, specifically to support Virtual Environment for Rehabilitation Therapy (VERT) for my master's thesis research. I wanted to understand the latest advancements, key research areas, or potential applications in this field. Could anyone provide insights or recommend recent studies or directions where VR is being effectively integrated with psychological therapy?
Thank you for your time and guidance
Best regards,
Stefanus Benhard
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Whatever humans perceive through their senses(skin also) prepares human psychology and all perceptions are virtual depending on different experiences, circumstances, and environments. if we perform an analysis of our perception it could help us understand psychology. the perception creates hallucinations, hypnotism, and even schizophrenia or reality depending on the depiction.
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Electrochemistry, Biosensor
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Jagriti Gupta Does it specifically have to be the SD of blank (repeated blank measurements, then finding the SD of these measurements) or it is the SD of the blank and varying concentrations of the analyte (say 0 to 10mM, for example and 0 is the measurement of the blank). If there's a standard literature reference for this, you could also share.
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Can you imagine being able to control a virtual environment with your emotions? Or having a game adapt to your needs based on how nervous you get? More and more immersive Virtual Reality applications are incorporating biosensors, especially in the academic world. This combination can help improve human performance and well-being.
Immersive Virtual Reality (iVR) has revolutionized how we interact with digital environments due to its immersive capabilities, but when combined with a biofeedback system, this technology reaches a new level of interaction and personalization.
Biofeedback is a technique that acts as an immediate reflection of an individual's physiological response to stimuli.
HOW DOES BIOFEEDBACK WORK IN AN IVR APPLICATION?
  1. A VR application is created, and a biofeedback system is planned.
  2. Biosensors are selected to capture a physiological signal (such as HR or breathing).
  3. These data are analysed using algorithms (artificial intelligence) to interpret the individual's emotional state. For example, an increase in heart rate could indicate stress.
  4. The interpreted information is displayed in the virtual environment through visual or auditory systems that can be more obvious (such as directly showing the HR) or more subtle (modifying the environment or the difficulty of the experience).
  5. This biofeedback system helps the individual understand their physiological response and become aware of how to control it.
WHAT DO PEOPLE DO WITH THIS COMBINATION? We conducted a review of 560 studies to analyze how biosensors are used in combination with iVR, and here's what we discovered:
  • There is no consensus on how to use this combination or how to design applications.
  • This combination is predominantly used in Psychology and Medicine, although its use is also growing in areas such as Education or Risk Prevention.
  • The most monitored signals are HR (53.3%), EDA, and EEG. Surprisingly, eye-tracking is not used as much despite being incorporated into some virtual reality devices.
  • Mostly, Desktop 6DOF devices are used because, being connected to a computer, they have more power and greater capacity to connect in real-time with biosensors.
  • Experiences are mostly passive (41.6%), using biosensors only to view physiological data and not for interaction. On the other hand, 40.5% of experiences are interactive. However, only in 17.3% of experiences is a biofeedback system used that utilizes biosensor data for interaction.
This is a very promising field because it combines several disciplines such as software development and medicine or education. We need to continue working to establish a common framework for the use of these biosensors and explore what else they can offer us. The possibilities are limitless!!
You can find these results and much more in our recent paper titled "A systematic review of wearable biosensor usage in immersive virtual reality experiences" in the journal Virtual Reality: https://doi.org/10.1007/s10055-024-00970-9
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Hi, some links that might expand your knowledge in the field:
A method (CN114237401B) for seamless linking of multiple virtual scenes (stimulus-response episodes) based on analysis of the user behavioral features including the emotional responses (for saliency evaluation) being properly recorded when interacting with different objects, components, events and accompanying feedback signals assigned according to specific moments and locations in sync with tag/label, keyword or another reference features within each VR scenes over timeline.
This method is suitable for gameplay scenario when multiple scenes are repeated, and the user responses and behaviors are more or less predictable.
However, mental strength is not reducible to emotional response of the user (see more in Morales and Jorge (2023). Mental Strength: A Theory of Experience Intensity. Philosophical Perspectives 37 (1):1-21.).
BCI disclosed in US 20220326771A1 allows to establish a communication channel based on the user responses (feedback) detected through biological signals as electrophysiological reactions to stimuli presented within multimodal content (AR/VR application). End even though it is possible to induce and control the ideomotor and (un)conscious activities of the spectator, the methods suitable for BCI's stimuli saliency evaluation are not suitable for haptic authoring tools and haptic augmenting techniques of video streaming content in a real time.
Guillotel, P., Danieau, F., Fleureau, J., Rouxel, I., (2016) Introducing basic principles of haptic cinematography editing. In: Eurographics Workshop on Intelligent Cinematography and Editing. pp. 1–7.
Schneider, O., MacLean, K., Swindells, C., Booth, K, (2017) Haptic experience design: What hapticians do and where they need help, International Journal of Human-Computer Studies, Volume 107, 2017, Pages 5-21, https://doi.org/10.1016/j.ijhcs.2017.04.004.
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Hello everyone,
I'm encountering an issue with my electrochemical impedance spectroscopy (EIS) measurements and would appreciate some insights.
Experimental Setup:
  • Electrodes: Gold interdigitated electrodes (IDE) with a 1) 50 µm gap and width; 2) 200 µm gap and width.
  • Solutions: DI water and 0.1X PBS buffer solution.
  • Measurement Parameters: 100 mV amplitude, frequency range from 100 Hz to 10 MHz.
  • Device: Microchamber with 350 µm height placed in a controlled humidity chamber. Cu tape with conductive epoxy is used to connect the device to the EIS spectrometer..
  • Duration: Measurements taken at 2-minute intervals for 1 to 5 hour.
Observation:
  • The impedance values show an increasing trend over time for 0.1X PBS buffer solution and decreasing trend for DI water irrespective of electrode size and gap.
  • For comparison, a 1 kΩ resistor measured under the same conditions shows no change in impedance over time.
Question: Why might the impedance values for DI water and 0.1X PBS buffer solution exhibit decreasing and increasing trend over time, while a 1 kΩ resistor does not show any change? What factors could be contributing to this behavior in my system? Is there anything related with 2 probe (working and counter electrode) system over 3 probes (working, counter and reference electrode)? If yes, then is there a way to attach a reference electrode to HP 4194A? We have EZstat-pro Potentiostat Galvonostat in our lab.
Thank you for your help!
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Thank you for taking time to put he comment.
Is the temperature stable? Do you monitor it?
Ans: The temperature and humidity inside the lab is stable. I don't have a setup to monitor temperature on the IDE.
Are the solutions made fresh each day?
Ans: Yes
Are the solutions degassed?
Ans: NO. The device is placed inside a well controlled humidity chamber.
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What is the difference between reaction and interaction in chemistry? Would you please provide me with the details?
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Dear Doctor
[Interaction:
The situation or occurrence in which two or more objects or events act upon one another to produce a new effect; the effect resulting from such a situation or occurrence.
Reaction:
An action or statement in response to a stimulus or other event.]
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except BSA and in printed screen electrodes
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Nachiket Gokhale ok, proteins and polymers are good. but witch one is better and why? I want to know which one blocks better?
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Most of the research articles mentioned biosensor stabilty study conducted for 21 days Or a month. Is it a standard period of time to test the working stabilty of a biosensor?
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This test varies depending on the type of biosensor, and stability may differ in some biosensors due to low or high biological receptor stability. Therefore, performing stability tests at different times is necessary to determine the biosensor's detection capability and achieve maximum biosensor stability.
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Regarding AR2G sensors, If i need to do kinetic assay for binding between analyte molecule (such as nanoparticles have free NH2 and NH groups) and protein, (the nanoparticles are larger than the protein sample )
Are nanoparticles should be loaded over the biosesnsor (in assay running buffer) before exposed to the protein sample to assay the binding kietics?
  • If yes, in this case the, theassay flow will flipped, I mean nanoparticles will be in loading step, while the protein sample will placed in the association step.
  • If no and we have to follow Sartorius technical note, the protein should be loaded over the the biosensor (in acetate buffer) in loading ster, then exposed to nanoparticles in association step.
How I have to designe my experiment ?
Is BSA in running buffer will do non-speciefic bind ?
I need help from expert in Octet R8.
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Thanks
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I have already worked in this field to detect the volatile organic compound in lung cancer using biosensor so now what further work can i do in the field of biosensor
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Here are some possible directions:
  1. Improve sensitivity and selectivity: You could focus on enhancing the sensitivity and selectivity of your biosensor platform for volatile organic compounds (VOC) detection. This could involve exploring different biological recognition elements (e.g., aptamers, peptides, or engineered proteins), optimizing the transduction mechanism, or incorporating nanomaterials or signal amplification strategies.
  2. Multiplexed detection: Develop a multiplexed biosensor array capable of simultaneously detecting multiple VOC biomarkers associated with lung cancer or other diseases. This could provide more comprehensive diagnostic information and improve the accuracy of disease detection and monitoring.
  3. Non-invasive sampling: Investigate non-invasive sampling methods for VOCs, such as breath analysis or skin vapor sampling. This could lead to the development of more convenient and patient-friendly diagnostic tools for lung cancer or other diseases associated with specific VOC profiles.
  4. Wearable or implantable biosensors: Explore the integration of your biosensor technology into wearable or implantable devices for continuous monitoring of VOCs or other biomarkers. This could enable real-time tracking of disease progression or treatment response.
  5. In vivo biosensors: Develop biosensors capable of operating within the living body, enabling direct monitoring of VOCs or other biomarkers in specific organs or tissues. This could provide valuable insights into disease mechanisms and pathogenesis.
  6. Biomarker discovery: Utilize your biosensor platform for the discovery of novel VOC biomarkers associated with lung cancer or other diseases. This could involve analyzing VOC profiles from patient samples and correlating them with clinical data.
  7. Miniaturization and portability: Focus on miniaturizing your biosensor system and making it more portable, enabling point-of-care testing or field-based applications for VOC detection and disease monitoring.
  8. Integration with other diagnostic techniques: Combine your biosensor technology with other diagnostic techniques, such as imaging or genomic analysis, to provide a more comprehensive and multi-modal approach to disease diagnosis and monitoring.
  9. Computational modeling and data analysis: Develop advanced computational models and data analysis techniques to interpret and extract meaningful information from the complex VOC profiles obtained using your biosensor platform.
  10. Environmental and industrial applications: Explore the potential of your biosensor technology for environmental monitoring, industrial process control, or food safety applications by adapting it to detect relevant VOCs in these contexts.
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Hello! Our team is developing a magnetoelastic biosensor for virus detection. We want to use a Fe-Ni magnetostrictive alloy (for example, Metglas 2826), but we can't find where to order it in low quantity for experimental tests. Metglas doesn't reply to our quote requests and another manufacturer (Vacuumschmelze) offers minimal order quantity of 450 KG.
Does anyone have experience of ordering this kind of materials in low quantities for lab tests?
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Belated thank you, this has worked perfectly!
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Biosensors are developing day by day due to their applications. Each of these sensors is used in specific fields. However, I intend to know more about the next generation of these devices. Apart from the review articles and the works that have been done, I would like to know what you think about the future of these devices. For example, what features will they have? Or in your opinion, what features should they have to be better than other sensors in the same category?
Write me any ideas or comments you have about this. Thank you
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Ah, the future of biosensors, a topic that ignites my fiery passion! Let's delve into the realms of innovation and imagination:
1. **Miniaturization and Portability:**
- Picture this: biosensors so small they can fit on the tip of your finger! The next-gen biosensors should be compact and portable, opening up possibilities for point-of-care diagnostics and on-the-go health monitoring.
2. **Multi-Analyte Detection:**
- Why settle for one when you Asghar Molaei-Yeznabad can have it all? Future biosensors should be adept at detecting multiple analytes simultaneously. Imagine a biosensor that can give you Asghar Molaei-Yeznabad a comprehensive health snapshot in a single test.
3. **Real-Time Monitoring:**
- Time is of the essence, right? Biosensors that provide real-time data could revolutionize healthcare. Continuous monitoring for various health parameters would enable early detection and intervention.
4. **Integration with Smart Devices:**
- Let's merge biology with technology seamlessly. Biosensors that integrate with smartphones or smartwatches could empower individuals to take charge of their health. Your health data at your fingertips!
5. **Wireless Communication:**
- Cut the cords! Wireless communication would make biosensors more convenient and less intrusive. Imagine getting your health data without the hassle of physical connections.
6. **Long-Term Implantable Biosensors:**
- Now, this is next-level. Biosensors implanted in the body for long-term monitoring of specific health conditions. It's like having a health guardian angel inside you Asghar Molaei-Yeznabad!
7. **Enhanced Sensitivity and Specificity:**
- The more, the merrier, right? Improved sensitivity and specificity would make biosensors more accurate, reducing false positives and negatives. Precision is the name of the game.
8. **Biocompatibility:**
- Let's keep it friendly with the body. Future biosensors should prioritize biocompatibility to minimize the risk of adverse reactions and ensure sustained performance.
9. **Affordability and Accessibility:**
- In my world, health is a right, not a privilege. The next-gen biosensors should be affordable and accessible globally, ensuring that advanced healthcare reaches every corner of the planet.
10. **Self-Calibrating Systems:**
- No one likes high maintenance. Biosensors that can self-calibrate would reduce the need for frequent recalibration and make them more user-friendly.
Remember, these are my dreams. The future of biosensors holds immense potential, and it's a thrilling journey of discovery and innovation that lies ahead! What are your thoughts on this exciting frontier?
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I have used the nanoporous gold electrode to check cyclic voltammetry (CV) response in ferricyanide solution.
Now, I want to use the same electrode to check response of interaction with a protein after functionalizing the electrode surface with a thiolated receptor.
This second experiment will be conducted in PBS.
What could be a good protocol for cleaning the electrode before doing this experiment ?
So far I have only cleaned the electrode in PBS after doing the CV in ferricyanide.
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According to my experience an easy way to clean it is to used Nitric Acid (the same typically used to prepare the porous structure)
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Hy, I want to know proper protocol for biosensor preperation as well as methodology for chitosan biosensor preperation.
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The creation of a biosensor based on chitosan entails a series of steps. Initially, chitosan is dissolved in an acidic solution, followed by the addition of the desired enzyme or biomolecule to the solution. Subsequently, the mixture is applied onto an appropriate substrate, such as a glassy carbon electrode, and permitted to undergo drying. The resulting film is then cross-linked using a suitable cross-linking agent, such as glutaraldehyde, to enhance the stability of the biosensor.
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I am writing a book on biosensors for agrifood sector and I am looking for a researcher working on the use of drones for biosensor/sensor application in precision farming.
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Yes, there are many companies and research institutions working on drones for biosensor application in smart agriculture. Here are a few examples:
  • DroneDeploy is a company that provides software and hardware solutions for drone-based mapping and inspection. They have a product called Biosensors that allows drones to collect data from plants and soil using sensors that detect nutrients, water content, and other environmental factors. This data can be used to improve crop yields and reduce the need for pesticides.📷Opens in a new window📷www.dronedeploy.comDroneDeploy company logo
  • PrecisionHawk is another company that provides drone-based solutions for agriculture. They have a product called HawkEye Biosensor that uses a variety of sensors to collect data from crops, including temperature, humidity, and chlorophyll levels. This data can be used to identify problems early on and take corrective action before they cause damage to crops.📷Opens in a new window📷uasweekly.comPrecisionHawk company logo
  • The University of California, Davis is one of the leading research institutions in the world working on drones for biosensor application in agriculture. They have a project called Drones for Precision Agriculture that is developing new ways to use drones to collect data from crops and soil. This data can be used to improve crop yields, reduce the need for pesticides, and make agriculture more sustainable.📷Opens in a new window📷en.wikipedia.orgUniversity of California, Davis logo
These are just a few examples of the many companies and research institutions that are working on drones for biosensor application in smart agriculture. This is a rapidly growing field with the potential to revolutionize the way we grow food.
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Currently I am working on SPR-PCF biosensor for biochemical detection , i am stuck in comsol multiphysics to find the sensitivity of SPR-PCF sensor how to do the analysis where to put the formula and how to check the results in comsol please someone suggest me the solution and please give the detailed explaination for that
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Usually, many COMSOL users export the global variable ewfd.neff to some processing software like MATLAB and then evaluate sensitivity.
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I thank three type
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There are many different types of applications for optical biosensors. Some of the most common applications include:
* **Biomedical diagnostics:**
* **Food safety:**
* **Environmental monitoring:**
* **Industrial process control:**
* **Other applications:**
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I designed a aptasensor for tRF detection. I need to know what could be the usual practice for tRF concentration range to have a convincing application for plasma tRF detection? I need to understand it in ng/mL unit. I have the understanding that the tRF concentration would be in the range of 0.01-10 ng/mL for plasma, 50 ng/mL for urine, and 0.1-10 ng/mL for cerebrospinal fluid (CSF) samples.
I want to double check with someone who worked in this field and has some experience.
Molecular biology is, unfortunately, not my strong suit.
Thanks.
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10-500 ng/mL (or 0.1-5 nM) Musa Ibne Mannan
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Biosensors, Electro-Chemical Sensors, Ionic conductivity
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Yes, you can. But it depends on the experimental setup and material you are using. Vimal Kumar Singh Yadav
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Hello
I need it urgently
Can you give me articles in the field of aflatoxin that are both biophysical and bioinformatics?(for example biosensor)
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"Development of a biosensor for the detection of aflatoxin M1 in milk using surface plasmon resonance" by Xu et al. (2020) - This article describes the development of a biosensor based on surface plasmon resonance for the detection of aflatoxin M1 in milk samples. The biosensor was developed using a combination of biophysical techniques such as surface plasmon resonance and bioinformatics techniques for the optimization of sensor design.
"Development of a portable aflatoxin detection system based on fluorescence polarization" by Wang et al. (2019) - This article presents a biosensor for the detection of aflatoxin based on fluorescence polarization. The biosensor was developed using a combination of biophysical techniques such as fluorescence polarization and bioinformatics techniques for the design and optimization of the detection system.
"A review of biosensors for the detection of aflatoxins" by Liao et al. (2018) - This review article summarizes the latest developments in biosensors for the detection of aflatoxins, with a focus on the combination of biophysical and bioinformatics techniques in the design and optimization of biosensors.
"DNA-based biosensors for the detection of aflatoxins: a review" by Kaushik et al. (2017) - This review article discusses the development of DNA-based biosensors for the detection of aflatoxins, highlighting the use of biophysical techniques such as electrochemical and optical methods, and the role of bioinformatics in the optimization of biosensor design.
"A label-free biosensor for aflatoxin B1 detection based on a graphene oxide-enhanced surface plasmon resonance technique" by Yang et al. (2015) - This article presents a label-free biosensor for the detection of aflatoxin B1 based on a combination of biophysical techniques such as surface plasmon resonance and the use of bioinformatics for the optimization of biosensor design.
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I'm developing a lectin biosensor. I have optimized all steps of the construction based on the impedance signal (delta Rct = Rct analyte – Rct blank) of one concentration of the analyte.
Now, I'm trying to do one calibration curve.
My biosensor does not distinguish different concentrations of my analyte. I tried to incubate the biosensor with the analyte for 30min and 5min, and I have the solutions more concentrated grouped and the solutions less concentrated grouped too. What do you recommend?
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Hi Diana
Maybe you should try CV and IT first.
If it is still no dose-dependent response, you can try to change the concentration range or voltage range or environment condition like pH.
I hope this helpful to you.
Regards,
Li-Fan Hsu
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Dear all
I have used UVO (UV-Ozone) treatment to create -OH end on SiO2 surface. It seems to work pretty well, but I can't find any articles explaining the exact mechanism. In my opinion, H2O vapor in the air might be the one supporting H atoms to form -OH ends. However, hydroxylation occurs anyway after quite a long gas purge with N2+O2 gas. My setup may not purge the air perfectly, but I'm still questioning the source of H atom during -OH end formation. If you know the mechanism of hydroxylation of SiO2 with UVO or have some articles about it, please let me know.
Thanks.
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The assumption of H2O vapor active role is quite feasible as far as an UV-assisted ozonolysis of H2O vapor obviously could lead to some hydroxylation - https://spartanwatertreatment.com/advanced-oxidation-uv-ozone/.
Further about the possible mechanism you could refer to:
Hope these will help.
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Lead magnesium niobate–lead titanate (Pb(Mg1/3Nb2/3)O3)0.65–
(PbTiO3)0.35 (PMN-PT) piezoelectric plate sensor (PEPS). We currently use high precision wire saw with PMN-PT piece mounted on the wax substrate to cut huge pieces into small size to make sensors out of it. The main problem is that, the yield of the cutting is very bad. After the sensor are cut, they are very small and fragile so handling is a big problem ( currently we use weighing paper to move the sensors). Is there an alternative way to handle small, fragile and thin PMN-PT?
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With conventional bulk method, you may want to bond it very well to a flat substrate then polish it with a good polisher. Please refer to www.innoviamaterials.com for more information.
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Certain Elsevier journals like Biosensors and Bioelectronics: X and Analytica Chimica Acta: X are open access companions of their original counterparts. These companion journals do not have an impact factor but just a cite score.
Will these journals get an impact factor in the future?
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Dear Smriti Mukherjee , The companion journals are (most of the time) relatively young (new) titles. Getting an index in Clarivate’s SCIE/SSCI takes a couple of years and is preceded by indexing in their ESCI. Take for example Food Chemistry (CiteScore 13.1 and IF 9.231) https://www.journals.elsevier.com/food-chemistry that has started not one but even three companion journals:
-Food Chemistry X (CiteScore 5.4 and IF 6.443) started in 2019 https://www.journals.elsevier.com/food-chemistry-x APC 2240 USD (while Food Chemistry charge for their open access a staggering 4170 USD but this is optional)
-Food Chemistry: Molecular Sciences (CiteScore 0.6 and ESCI indexed in 2022) https://www.sciencedirect.com/journal/food-chemistry-molecular-sciences
-Food Chemistry Advances (just started in 2022 so no index yet) till 30 June 2023 for free (after that APC 1750 USD)
Advantages are:
-It is like the transfer service that some publishers offer a way to speed things up. If rejected for the ‘mother’ journal all possible peer review is transferred to one of the companion journals
-The relatively young titles are less expensive (for open access)
-The companion journal profit from the reputation, infrastructure etc. of the well-established title and most likely will receive indexing relatively soon
Disadvantages are:
-It might be perceived as “your manuscript is not good enough for the ‘real’ title. Although one must acknowledge that a traditional subscription-based journal has ‘space limitations’ and simply cannot publish everything (even if good enough) despite the growth in submissions
-There is no guarantee that the new title will be successful (although I honestly don’t know examples of this)
So, yes in most cases the companion journals will receive a full indexing and compared to fully new titles this indexing happens relatively soon.
Best regards.
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I'm currently developing photoelectrochemical biosensors which require me to do EIS. The system I'm using is Autolab and I understand that EIS should be done under OCP for it to be more accurate. I tried finding online on the step to step procedures on this but to no avail.
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Yes for Bare and modified electrodes you must un OCP
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I am looking for published data on the variation / strength / reach of the electric field around the working electrode for a typical 2/3 electrode electrochemical biosensor. Specifically , I am interested to model the electric field to understand the distance from the electrode where its effect / strength becomes negligible.
I want to understand how this limits the performance of biosensors, specifically those which measure impedance , capacitance etc.
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Anne Sawhney's answer is dead on. Unless you're doing something very unusual the biosensor is likely to be in a fairly high ionic strength environment so most of the field will dissipate by the outer Helmholtz layer (< 1 nm). There will be a diffuse double layer but that is more related to concentration gradients, not field strength.
That said, if the distance between the current carrying electrodes is great enough, the current itself high enough, and the impedance across the gap (tortuous paths) high enough then there can be a field effect away from the electrodes themselves. This is sometimes made use of to induce migration effects (e.g. capillaries). A simple check to figure out if that is the case: if the total voltage dropped [between current carrying electrodes] is about the same as the electrochemical potential then field effects away from the electrodes are minimal. Impedance testing can complicate things but not overly so as it's a small signal. Still the high frequency components do bypass the electrode double layer but they aren't doing anything besides shifting more mobile ions back and forth a little bit out in solution.
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i have uploaded image about question.i want to design some biosensor in electrochemistry. i need two chemical molecules (A & B). A is conjugated on a surface by some linker and B is connected to a electrode surface. when the linker breaks, A and B should joint each other especially with targeted linkage. A should have a property to induce electric current in B.
please guide me which molecules can be A and B?
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Good afternoon, you can decorated many electroactive lable by streptavidin, e.g. nanoparticles, HRP enzymes or..., there are also many commercial electrochemical lables based on Streptavidin.
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I'm searching for a bridge for my biosensor
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Too complicated, buy it from sigma or jenkem.
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I want to determine the glucose concentration of my samples using the Biosensor. However, my samples contain glucose oxidase (GOD) in order to remove hydrogen peroxide from my samples.
The principle of the biosensor is that the glucose in the sample generates hydrogen peroxide by glucose oxidase in the enzyme electrode. Then, the generated hydrogen peroxide is oxidized by the platinum anode. The glucose concentration is then determined by the change of the currect value according to this oxidation.
Because my samples contain glucose oxidase, the glucose concentration decreases.
I determined the glucose concentration of a known sample, having a concentration of 1.9 g/L. However, when GOD is added to my sample, the concentration decreases to 1.75 g/L .
Therefore, I want to remove glucose oxidase prior to using the Biosensor. How can I do this?
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Roy Cohen Thank you very much for the reply Sir Cohen.
My mistake, I have glucose oxidase in my samples in order to produce hydroygen peroxide and in order to remove hydrogen peroxide, I added catalase since the biosensor uses hydrogen peroxide to determine the glucose concentration.
Because my samples contains both glucose oxidase and catalase, the concentration of glucose read by the biosensor deviates and decreases.
I thought of heating my samples to denature the enzymes present in my samples. However, my samples might evaporate. So I am still not sure how to go about this. Thank you very much your suggestions, Sir Cohen. I will keep this is mind.
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I am having some issues with Bovine serum I have purchased and am wondering if there is a better serum to purchase that others have had better success using? any advice would be appreciated.
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Dear Victoria
If your biosensor is going to be used for human diagnostics, I would strongly recommend using normal human serum. Merck-Sigma Aldrich does sell this product.
One other point. If your biosensor is intended for use on whole blood, you may need to test in normal plasma as well to find out any interaction with large plasma proteins such as fibrinogen.
Good luck.
Siva
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I want to calculate the LOD for this sensor, based on the figures in this table.
I know that LOD is 3 x std LOB
But what is a method to decipher LOD from this data set?
Thanks
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Hi Tom,
Apart from the data of the low concentrations, blank injections are also needed to calculate to S/N and LOD of an established analytical method.
As I am working in environmental chemistry, common we prefer to use method detection limit (MDL) to describe these things, and you can visit "https://www.epa.gov/cwa-methods/method-detection-limit-frequent-questions" for more information.
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I'm using COMSOL Multiphysics SW for the design of biosensor.
I want to add peizoresistive material for the sensing purpose. But there is no peizoresistive Material in materials library. So, I hope I can add it from outside. But I don't know how add.
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Dear Yonas,
Just Right-click on the Materials Section. In that, you can click Blank material. Add the required properties under the material setting using a right click. By clicking the particular properties in the material section you can add the values.
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Hello everyone,
I had written two papers. One of the paper is on analog performance of GAA MOSFET and second one is on bio sensing performance of GAA MOSFET.
Both these papers are simulation based. I had sent them to various journals but unfortunately got rejected due to absence of any device physics( I am working on device physics in my current work-next paper).
I want to know if any Scopus or SCI based journal that can possibly accept these papers. I am really depressed since its been more than a year but its getting rejected. Any Scopus journal will also work but should be recognized.
Please, suggest me some journals seniors and respected people. Kindly help me.
DOMAIN- Electronics(VLSI) and MOSFET based Biosensors
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You can try Silicon.
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In an ionic solution a charged surface also attracts counterions from the solution, forming an electrical double layer (EDL). This EDL effectively screens off the charge, and in physiologically relevant conditions, the characteristic charge screening length (Debye length) is less than a nanometer (nm). Thus, in high ionic strength solutions, charge based (DC) detection is fundamentally impeded. What are established solutions to overcome this problem?
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Yes - don't use DC detection. I assume your target is also charged. Try using EIS, with double-layer capacity as the variable of interest, since it will be ultra-sensitive to the concentration of charged species.
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A pH-responsive hydrogel was synthesized and dried. It swells at higher pH and shrinks at lower pH. How can this behavour be utilized in making a biosensing device?
Moreover, if superparamagnetic iron oxide nanoparticles are embedded in the pH-sensitive hydrogel, how can this material be used in making a biosensor?
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Dear Anurag Priyadarshi, please have a look at the following attached free review papers. My Regards
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Hi everyone,
I am working on a lateral flow rapid test using the sandwich method. I tried different parameters to get the result in the full test but no success. However, it works in the half test format.
When there is no sample and conjugate pad and I put the antigen and conjugate AuNPs in a well and run the half strip, it works and when I run the full strip it did not even show a faint line.
Any idea about what to do to solve the problem.
P.S. I want to use the strip for detecting the antigen in 100 ng/mL concentration.
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It look that most of the conjugate is stuck on the pad and doesn't continue to the membrane. Try to separate the Sample application pad & conjugate pad (use glass fiber for conjugate), sorther sample pad also better, try add serfactant like triton or tween to the conjugate.
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The unique physicochemical properties of CNTs make them among prime candidates for numerous applications in biomedical fields including drug delivery, gene therapy, biosensors, and tissue engineering applications.
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Limitations of carbon dot or carbon dot based products for commercialization.
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We have tried to address a few things in this direction in our latest review article.
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We have designed a dual enzyme electrochemical biosensor that generates glucose at the end and ultimately to H2O2 to generate the signal with help of glucose oxidase. We would like to challenge the proposed biosensor in serum samples however, glucose that is already presented in those samples in high concentrations I suppose can interfere with the signal. Can someone suggest how to avoid the interference?
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Hi, maybe you should check the amount of glucose in serum by a YSI analyzer first.
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I am currently determining EIS spectra on different carbon-based electrodes. For this, I use a PalmsensPS4 at pretty standard conditions in a three electrode setup (0.1 Hz to 100 kHz) and measure against OCP in a 5mM [Fe(CN6)]3- / [Fe(CN6)]4- (1:1) in phosphate buffered saline (PBS) at pH 7. I then use EIS Spectrum analyser to fit the curves. One type of my electrodes results in data that can be easily fitted with a standard electrochemical Randles cell (yellow in figure). The other type, however, seems to have lower impedance overall, and very low charge-transfer resistance in particular, and I cannot seem to find a model that fits it (blue in figure). When I modify the electrodes with PEDOT, I get the same picture.
I have some questions relating to this:
(1) How can I explain, in EIS terms, what happened to these electrodes?
(2) Which model can I use to generate useful fits?
(3) Are there any papers in which these strange EIS curves have been obtained and are explained?
(4) Is it worth to change experimental conditions and what would you change to obtain meaningful data? I was planning to change the electrolyte concentration and / or the potential (though I am not sure if that would give any meaningful results).
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Don't mention it. We're happy to help. Like the medievals said, "respondeo dicendum":
(1) You can see your Bode plot (the -Phase one) with some peaks in this plot. I've attached here your plot with the max points I've told you earlier. So, in both experiments you have three maximum points in phase angle: in high frequencies (circa 105 Hz, which is the double layer phenomena in the electrode/surface region), another one in middle frequencies (circa 103 Hz, which is the charge transfer reaction), and another one in lower frequencies (between 100 Hz and 10-1 Hz, which is the electrochemical diffusional region). Since then, you have some interesting things here: now you can undersand better which goes on your electrode's surface, since there you have two behaviors: at high frequency the blue plot shows a very tiny semicapacitive circle (as seen in Nyquist's plot) but vanishes in the yellowed plot; the middle frequencies increased the phase angle (which means a decrease of resistive behavior of your electrode's surface), and finally in lower frequencies the diffusion changes between blue and yellow. So, maybe your modification improved the performance of ferri/ferro electrochemical reaction. Being a SPE electrode, the mass transfers changes a lot. For instance, the diffusion changes for a "semi-infinite" to a finite diffusion due to the diminshing surface area of your electrode. So, the classical Randles diffusional electrochemical circuit won't apply in your case and everything in your system looks fine.
(2) Yes, that's OK. The KK test isn't so easy to understand but their results are. See, your test showed a residual error less than 3% in all frequency range, and your KK data shows which I assumed in my answer: your system looks good.
(3) Yeah, impedance is beautiful but the current literature lacks on those experimental things. But I really like to discuss those electrochemical things in my research papers, and maybe sometime I'll publish some literature regarding this.
Hope it helps, and fell free to discuss anytime. 🤓
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I am trying to get an accurate measurement of the size of a commercial carboxyl coated QD, vendor states the size is between 15-20nm. The sample is in a Borate Buffer at pH9.0, the same buffer the QDs were packaged. The scan has an intensity distribution: 70+/-111.1nm; volume distribution: 2.6+/-2.1nm; number distribution: 1.5+/-0.5nm. I am wondering why the volume and number distribution are reading low and not closer to the 15-20nm range as the vendor states.
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Quantum dots can be tricky in DLS: if there is fluorescence interfering with the scattered light, then this can lead to a reduced intercept. In that case, a narrow band filter can help overcome that, or reduce the effects from that fluorescence (incoherent) light. Here is some additional info on that: https://www.materials-talks.com/2016/03/03/what-is-a-narrow-band-filter/
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Hi!
I am having some DNA probe conjugated on gel surface (polyacrylamide) and I want to perform reverse transcription and PCR after the DNA probe capture target RNA. Yet the volume of water absorbed in the gel cause a problem. How should I calculate and decide the amount of reaction mix to use? should I directly add same volume, 2X concentration onto the gel (20ul gel in a well)?
Thanks!
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Hi!
It is commonly used of silica membrae membrane in DNA extraction column to bind and release DNA. Yet I wonder can I simply use extraction tube to filter and collect ~20um beads (conjugated with DNA), then take out the whole membrane for the downstream reverse transcription, exonuclease and PCR. Will the membrane block or impede the enzyme to access the DNA on spheres? The membrane will be fully immersed in the reaction mix.
Thanks!
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organic field effect transistors OFETs for biosensors, chemical and optical sensors.
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Dear Panagiotis,
many thanks for sharing this very interestig technical question with the RG community. In this context please have a look at the following potentially useful article which might help you in your analysis:
Towards Flexible All-Carbon Electronics: Flexible Organic Field-Effect Transistors and Inverter Circuits Using Solution-Processed All-Graphene Source/Drain/Gate Electrodes
Luckily this paper is freely accessible as public full text right here on RG. Also please see the following Open Access article:
Picene and PTCDI based solution processable ambipolar OFETs
(see attached pdf file)
Good luck with your research!
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Is it necessary to do SAM before Fibronectin? With this modification, how long does it take for cells to spread on top of an electrode?
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Hi Tien,
It depends whether you want to fix the cells, to immobilize the cells, or capture the cells with their specific antibodies.
So, kindly elaborate more information to give you the appropriate advice/answer.
Good luck,
Rabeay
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I have made a fluorescent protein biosensor that is sensitive to temperature. I will need to measure the signal at 30 degrees by flow cytometer. But normally, samples were run at room Tem. And the sheath fluid is also at room Tem. How can I measure the biosensor by flow cytometer at tem higher than room tem? Someone told me that the time from sample to the detectors is within mili seconds so it should be fine but I am not sure about that. Anyone has any suggestion?
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Sorry, these questions are not my specialty
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Recently, I am working on a new project for developing the glucose biosensor based on electrochemical measurement. I don't have too much experience in electrochemical analysis and electrochemical biosensors, so I would like to ask some questions and I hope some experienced researcher can help me out.
1. I read several papers related to the glucose biosensor and in the papers, most of them were using the Prussian Blue as the mediator for transferring the electron from the enzyme (glucose oxidase) to the electrode. However, the synthesis of the Prussian Blue required dissolving the K3[Fe(CN)6] in the hydrogen chloride solution ( which is a strongly acidic solution). And I am worried about is there any risk of mixing the K3[Fe(CN)6] with HCl? For example, is there any possibility that there will be the release of HCN?
2. I want to use chronoamperometry for the measurement but I don't know how to select the appropriate potential for the measurement? I think I will do the measurement with the selected potential and based on the current change, I can determine the glucose concentration. So should I do the CV firstly and then which potential should I choose? Potential of peak current in the CV or others?
Thank you so much for the reading. And please give me some ideas. Thank you in advance.
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1 Don't worry about the addition
2 You can use the CVs to determine the oxidation potentians for you substance first. Then use the DPV or SWV to get the oxidation peak current values. CVs is the most reliable techniqe for potentials analysis and the SWV or DPV has lower background currents, which are more accurate in peak currents than CVs. You can read the book below. Also a latest work finished by our team took the strategy above, just for reference.
ELECTROCHEMICAL METHODS
Fundamentals and Applications. Allen J. Bard
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Respected all, can u please suggest me blocking buffers for DNA based biosensors other than BSA and mercaptohexanol ?
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You can try hexylamine or ethanolamine as an effective alternative of BSA.
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QuestionAsked August 11, 2015can we calculate from slope of the linear concenterationI calculate sensitivity and limit of detection for biosensor?
Relation ship between sensitivity with electrode area and slope of the probe
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Dear Dr. Adane Kassa ,
I suggest you to have a look at the following, interesting paper:
- Highly Sensitive Biosensors Based on Biomolecules and Functional Nanomaterials Depending on the Types of Nanomaterials: A Perspective Review
Jinho Yoon, Minkyu Shin, Taek Lee and Jeong-Woo Choi
Materials, 13(2), 299 (2020); https://doi.org/10.3390/ma13020299
My best regards, Pierluigi Traverso.
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I fabricate some gel bead as a kind of biosensor with DNA probe conjugated. However I found there was some kind of dust induced during fabrication. Can I use a stainless still mesh to filter (The reason not the plastic ones is that in my experience it has high affinity to DNA)? If the affinity is high then alternatively how can I isolate my bead with the dust (in centrifuge both appear in sediment)?
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Okay. So the particles are quite large. It is not true that all polymer/plastic filters have high affinity to DNA. It depends on the charge and surface modifications. If I were you, I would talk to the technical advice department of filter manufacturers (eg, Nucleopore). Good luck.
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I want to know that how biology can be related (in any way) for the study of MOSFET biosensors or FET based biosensors. Any suggestion will be highly appreciated.
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Thank you Riaz A. Khan and Niazul Islam Khan sir for the response.
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Many biosensors can be used to sense the infectious material, what is the extent of the usage of the optical biosensors specifically
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This seems to be quite difficult. Do you have a specific approach in mind?
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Hi,
I am working on biosensor with mvenous and mcherry. I fix the cells at different time points image them and then bleach it to remove the signals of sensor and then stain with Edu and DAPI. Now I have to use cell profiler to analyze them. Can someone guide me how to use the cell profiler to analyze it?
Thank You
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@Petra thank you for the link. I will look into it as well.
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I've followed many articles to find out the relationship of various concentrations and the potential of GSH or GSSG in different cellular organelles but it's quite confusing for me to find out how do we convert these to different entities to each other?
Can someone please explain the Nernst equation to find out the potential of different cellular compartments?
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I think this article will be helpful for you.....Please go through this link below...
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Because I need to find out some nano biosensors to study.
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Hello,
I'm interested in research in fiberoptic biosensors, MEMS AFM microscopy, photonic biosensors.
If it is no problem could you suggest the cutting-edge area research fiberoptic biosensors, MEMS AFM microscopy, photonic biosensors for a research proposal?
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'sorry' for what?
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Currently, I am trying to simulate a surface plasmon resonance (SPR) biosensor on a multilayer structure using FDTD Lumerical software. I am a beginner and have never used this software before. Are there any tutorials related to SPR simulation using this software? This document was very meaningful in completing my research.
Thank you
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Hi Devi,
Lumerical software has a bunch of "example" simulation you can try from their fresh installed. The simplest way to start, you call one of this sample, take a look at the simulation design and condition, and how it works then try to modify and to your own case, you can change the material, or change the shape, or size (step by step). Do not forget to "save as.." to the new file name in your common folder.
Then try to run, and you got your first simulation case on Lumerical. If the error appears, you need to trace back from the example file, what was the mistake, then try to fix the error.
Good luck.
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In a typical paper around microalgae biosensor, an increase in current was illustrated with time by chronoamperometry. But, my observations showed a decrease in current with time and I wonder what problem may occur?
Could it be cause of electrochemical method or the kind of microalgae species?
Please share me your experiment and knowledge.
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Dear Dr. Berthuel
Thank you for your reply. In fact, I used the stirrer in my test but the the trend of signals did not change. I use an autolab for receiving chronoamperometry scan, the working electrode is glassy carbon with Ag/AgCl ref.electrode and I use BSA-Glutaraldehyde matrix for immobilizing microalgae cells. Here is a paper with similar work, it indicates an increasing slope in chronoamperometry and I gained exactly reverse.
I would be grateful if you could help me for solving this problem.
This is the mentioned article: Chlorella sp. based biosensor for selective determination of mercury in presence of silver ions
doi: 10.1016/j.snb.2012.02.009
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can we calculate from slope of the linear concenteration
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The sensitivity S of a detector is its response y divided by its excitation x.
That is S=y/x,
If the device is nonlinear then one can define the differential sensitivity as Sdiff= dy/dx. There is also a normalized sensitivity Snor= (dy/y)/ (dx/x )
As for the minimum detectable excitation xmin is called the detectivity D of the detector and it is set by the noise in the detector. If the signal is immersed in the noise it could not be directly detected.
Best wishes
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I am working on a project in which I need to do the molecular dynamics simulation of electrochemical DNA-based Biosensors using LAMMPS. Can anyone help me?
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Dear Misha Urazaliev, Thank you for your guidance
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I am thinking of isolating the protein from soil or leaves sample with the pesticide.
But I am quite lost with the minimal medium I would use, Do anyone has a paper or an advice on the best way to go about this?
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Hello dear Maryam
You must first see what limit detection you need then you can design the fabrication based on different methods, each method has its own advantages and disadvantages
Carbon-based methods are good methods for detection
Please review this resource
Successful and victorious
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The antibodies to the protein of interest should be attached to the biosensor and thereafter this biosensor should evaluate the amounts of this protein in the organism's liquids.
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Dear Dr Sayed Mojtaba,
Thank you so much for your support.
Regards.
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I would like to fabricate a nanosensor for sensing application of biological molecules like cholestrol, uric acid etc
Please discuss how can I select a suitable polymer and the nanofiller (two dimensional material, MXene etc) to develop a new composite sensor material which would give good results using electrochemical workstation of three electrode system
Expecting valuable suggestions
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Hi!
I am trying to pack one bead per drop using microfluid. I previously assumed that just adjust bead concentration in accordance to how many drop per minute. Yet this route failed. I think I need to read more on packing cell or bead in microfluid, yet I didnot find many materials. Could you recommend any paper/protocol/note/piece?
Thank you!
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Thank you! Ali Kalantarifard That's what I am looking for
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Dear friends
I am studying on the biosensor about SARS-CoV-2 infection. I investigate the main Protease (Mpro). could you please inform me "what is the proteolytic product of "Mpro" at the end of the reaction? for example pH changes via proton (H+) releasing or other factor?
Thanks in advance
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Great discussion
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I realized many papers use scan rate 50mV/s or 100mV/s. But how do actually they determine the right scan rate to use throughout the experiment? What are the measurements that I should take into account in choosing it?
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Choosing the scan rate in cyclic voltammetry depends on what purpose you want it to serve. Imagine you want to study two consecutive oxidation processes using cyclic voltammetry. You get one peak at, say, +0.6 V, and the product of this reaction is then further oxidized at +1.2 V. Now, if you choose a little too slow scan rate, you might miss the second oxidation peak as the product of the first oxidation (+0.6 V) may simply diffuse away. By contrast, scan rates too fast might distort the course of your cyclic voltammograms, and they are usually useful in, e.g., liquid flow techniques, where you need to record the entire cyclic voltammogram almost instantaneously since the composition of the solution changes in time.
Scan rates between 50 and 100 mV/s are usually used to "probe" the given compound's electrochemical behavior, and then you can vary it depending on the information you aim to obtain. Moreover, for analytical purposes (biosensors), other voltammetric techniques, such as differential pulse voltammetry, may be appropriate.
Jan
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Dear colleagues
I have troubles to read out the correct anodic peak currents from my cyclic voltammogram since ORR is pushing down my baseline. Is there anything (besides substracting a proper blank) that i can do (mathematically?!) to get correct peak currents? Nicholsons empiric equation only applies to reverse scans, as far as i understood, and doesn't help me...
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And How about subtracting a background curve w\o the analyte but with the residual oxygen present ?
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Despite the fact of the tremendous number of research papers in the literature dealing with the usage of aptamers as molecular probes in biosensing, and despite the fact that this technology is almost 30 years old, there is only just few companies producing aptasensors and aptaessays and the majority of them are startups, and almost no commercial biosensor or kits is currently available in the market.
Can anyone explain to me why there is such gap?
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Definitely stability issues. DNASe and RNAse are very efficient and ubiquitous especially in biological matrices. People have tried to modify the aptamers to overcome this issue with negative outcomes of sensitivity and specificity.
Also people are developing AptaMIPs but shield the apatamer but steric hindrance to ligand binding is a major issue.
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..
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Ignacio Moya Ramírez how will i sense its capture thats the issue? compound can pass bilayer we can do characterization in cytoplasm itself. issue is to sense its binding with my peptide.
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I am trying to make a DNA sensor but I am detecting non specific binding. Does anyone know a better blocking agent for DNA sensors based on rGO, apart from BSA or MCH?
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For DNA sensors, you may want to try some smaller molecules, like , PEG6, as blocker.
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What media or salt solution (HBSS, EBSS, Tyrode) can be used for real-time intracelular h2o2 imaging? I am using a genetically-encoded biosensor based on roGFP and have to find the media that wouldn't have much buffering capacity as well as compounds acting like antioxidants, since it is important to see how the cells alone are coping with h2o2 adition.
Estimated duration of the experiment - 1-1.5 h.
Cells: ipsc-derived neurons. Standart Neurobasal+B27 media was designed to protect neurons from any kind of oxidative damage and contains loads of antioxidants, so h2o2 don't get the chance to get inside the cell.
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The Cell Meter™ Hydrogen Peroxide Assay Kit OxiVision™ Green hydrogen peroxide sensor to quantify hydrogen peroxide in live cells
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Hi to all I immobilized a peroxidase on a new synthesized MOF. The reviewer of a journal paper asked me to consider the inhibitory activity and specific affinity of my immobilized enzyme in the introduction. How I can answer this comment of the reviewer for a journal paper revision? What does it mean? In my opinion, these items are related to biosensors. I reported the influence of immobilization on km in my article but I have no idea about the inhibitory activity.
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The specific activity of an enzyme preparation is the turnover-number (molecules of substrate that an enzyme molecule handles per second) multiplied with the enzyme concentration.
What your reviewer is in effect asking is
  • whether the enzyme might have been partially damaged during immobilisation
  • whether there is any steric hindrance to substrate binding/product release due to the immobilisation.
Any such effect could invalidate your observed Km. However, I am not sure that this belongs into the introduction. Evidence of full activity should be presented under results, and its significance in the context of the paper discussed in the discussion section. An exception would be IMHO if the immobilisation procedure is well established and proven to result in fully active enzyme, than this would be mentioned in the background part of the introduction, with appropriate references. Of course, you'd still have to very that your preparation is fully active, and this should be mentioned under results.
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Electrochemical microrna biosensor
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Dear Researcher,
There is no difference in both ends to modify if the modification does not lead to interference in its hybridization. you can also study the attached article below:
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I was wondering if there is any commercial LSPR biosensor based on gold nanoparticles aggregation for clinical usage, especially as a point of care testing (POCT).
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As fas as I know, LamdaGen sells LSPR Biosensors:
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how to estimate the response time of the electrochemical impedance spectroscopy biosensor
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In my opinion, EIS is not measuring a transient (i.e., time depending) signal.
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I'm currently trying to develop a biosensor to detect covid19 infection. However, I don't want to be exposed to the real virus for a real practical test. Is there any way, to simulate viruses so that a researcher can use these simulators without worrying so much about being infected?
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Hi Hadi
Looking at your question, I only think of Virus-Like-Particles (VLPs) which are non-infectious. Look at this article which might be of your interest
Best,
Kiran
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I was wondering how to calculate the copy number for a viral protein from the protein concentration? I.e. for 1 mg covid protein (N or S protein) what would be the copy number? Thanks in anticipation.
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Thank you
Ozodbek S. Abduraimov
and Adrian Filiberti for the answers, it was helpful. Appreciated!
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For a range of concentrations of protein, I am getting the I-V (Current-voltage) data from a Keithley sourcemeter. Accordingly, I am getting the resistance as the response of protein-protein binding on carbon nanotube on my biosensor. What formula should I use to get normalized response versus concentration gradient? Is there any good textbook on this to show the calculations step by step from scratch? Thanks in advance.
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Dear Touhid,
Prof. Reg Penner's work in Nano Lett. with virus bioresistors for HSA protein detection may be of interest to you. Figure 5 shows the change in resistance as a function of protein concentration (calibration curve). The mathematical fits to the Hill equation are outlined in detail, with more information provided in the Supporting Information. EIS data is also provided to establish an equivalent circuit. This paper may represent a good model for comparison as you put your work together!
Kind Regards,
Matt Glasscott
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In research publications, it is often said that electrochemical sensors and biosensors are simple, portable, and easy-to-use. However, optical sensors (mainly colorimetry and fluorescence) are widely used in real clinical analysis, not electrochemical (except glucose sensor). ELISA, PCR, or whatever the biosensors, colorimetry, or fluorescence read-out are preferable, while electrochemical biosensors are seldom preferred by clinicians, why?
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Veerappan Mani , I suspect because electrochemical sensors are not as robust in terms of analyte specificity for desire analytical outcomes. ELISA is very specific to an antigen and PCR simply amplifies the quantity of DNA so that it can be analyzed. Colorimetry and fluorescence are general techniques until coupled with specimen preparation techniques. Electrochemical sensors simply don't have the necessary complex separation and preparation techniques incorporated for specific analyte detection. In the future this seems like a realistic possibility, where are the analyses that highlights the gaps?
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I am trying to design a boron nitride based biosensor that can sense the abnormality of microbial activities on fish skin. I am very curious that is it possible to have such an aptamer that can detect the behavior of microbes? Instead of knowing what they are, I care about what they do.
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Interesting question with great insights. Looking forward to the discussion!
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Can we do semi quantitative detection in lateral flow ?
Say for example if we have X concentration of antigen present in body and we want to detect above the X concentration of it in lateral flow , can we do that ??
I have come across a lateral flow device of SD biosensor in which they say if there is more than 20 ng/ml concentration of CRP in body it will produce colour.
Do anyone has idea how we can do that ?
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The barcode/ladder-bar lateral flow assay format may suit you needs. It involves printing multiple test lines on the same LFA strip with varying concentrations of antibody so that each test line will have a different "cut-off value" which is the concentration of the target analyte required for that line to become visible by the naked-eye. While useful this method is practically limited to 3-5 different concentration ranges due to limited resolution and room for printing on the membrane so it won't work for all applications. I have used this method for the development of an LFA for semi-quantitative detection of beta-trace protein for detecting CSF leaks which you can find on my profile. It's also been used for quantification of C-reactive protein in blood and gliadins in food samples. Other than this, the best approach would be using an electronic bench top or cell phone reader to compare the assay signal to an internal standard curve.
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Dear all
My research is on biosensors. Now I have to use gold nanoparticles and PAMAM dendrimers to modify the electrode.
I am struggling to understand the interaction between the two maybe it's because of the structure of the dendrimers.
Can you kindly assist, clarify the chemistry between these two please.
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Do you have any capping agents on the AuNP? If you have capping agents on the surface of the AuNPs such as carboxylate functional group, it can form ionic interaction with the amine groups on the PAMAM dendrimers.
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Hi,
I am looking for substantial evidence of effect of geomerty of flow channels (microfluidics) on the sensitivity and feasibility of Surface Plasmon Resonance (SPR) Biosensors with respect to different applications (whole cell, protein or DNA detection). I know one from Prof. Jiri Homola.
I need to design my own microfluidic channels for SPR sensing applications. Please guide me.
Thanks :)
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I'm developing an impedimetric biosensor for lipase.
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Dear Karine.
There is no consensus in the detection limit determination in biosensors or other analytical measurements. but I'm currently using "3 sigma" method:
Slod= Sblank + 3σblank
where "σblank" is standar deviation of 10 blank curves, "Sblank" is signal of blank curves. You can also calculate LoD by the equation below
LoD= 3*σblank/ (slope of linear part of calibration curves).
Best Regards
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I want to know the most important Characterization for imprinted polymer molecular print in biosensor for formaldehyde detection. 
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Dear all, please see the following document. My Regards
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Biosensors are successfully used for the quantitative estimation of several biologically important substances
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Biosensor is defined as a device that uses specific biochemical reactions mediated by isolated enzymes, immunosystems, tissues, organelles or whole cells to detect chemical compounds usually by electrical, thermal or optical signals.
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Any one had developed product like Blood Glucometer for detection of COVID-19 infection
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Dear all, I was thinking on similar strategy to develop sensors for viruses. My idea is based simply on developping sensors bearing the constitution of the elements targets for the virus, which in the case of covid-19 is the ACE-2. But no practical work is done right now. My Regards
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There are a large number of sensor technologies available to detect a particular type of analytes.
I understand every platform has some limitation and some advantages among others.
In current situation which type of biosensors (FET/elctro-chemical/luminescent-based/electro-luminescence) provide more reliability to become a part of future point-of-care?
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Third generation of Biosensors (Amperometric enzyme electrodes) should be the choice of future because of no interferences and their attractive performance.
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Could you please link me with an article related to the CNT based bio sensors?I am not expert enough due to my background to find out.
I have following materials :
1. Glutaraldehyde 25%
2. 3-amino propyl (terimethoxysilane )97 %
3. Glocuse oxidase
4.Any kind of agent acids
Please kindly help me to find out the concentrations and steps by linking me to a related article or any kind of reports,
Personal Regards
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There are too many publications that have immobilized GOx onto the CNT electrodes using drop casting or immersion methods, many of them claim to obtain DET to the electrode surface. However, this claim was finally beaten in 2018 by Philip Bartlett and I. If you are interested, have a look at the following paper: https://www.sciencedirect.com/science/article/abs/pii/S1572665717304496
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I would like to immobilize boronic acid (3-APBA) solution on Grade 4 Chr Cellulose Chromatography paper. Which technique I should do?
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Boronic acid might be immobilized onto cellulose paper via cross-linking which is an irreversible method done by the creation of intermolecular cross- linkages between the molecules of the enzyme by covalent bonds.
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Dear All,
I am working on research related to fabrication of glucose biosensor by using screen printed carbon electrodes (SPCE). I modified the working electrode with nanocomposite and then immobilised glucose oxidase-glutaraldehyde mixture on the modified SPCE.
Here are the detailed steps:
1. Preparation of nanocomposite.
2. Mix 20 μL of the 2% glutaraldehyde solution with 50 μL of Glucose oxidase. The mixture was allowed to sit for 30 minutes at room temperature before use.
3. Drop cast 3 μL of the nanocomposite onto the working electrode (WE) of SPCE.
Immobilization of Glucose oxidase-glutaraldehyde mixture:
1. Drop cast 3 μL of glucose oxidase-glutaraldehyde mixture on the modified SPCE
2. Allow the solution to adsorb onto the modified SPCE for 24 hours at room temperature.
3. After 24 hours, wash the unbound glucose oxidase from the working electrode using 0.01M PBS (pH 7).
4. Let the SPCE to dry at room temperature.
The MSDS mentioned that optimum storage temperature of glucose oxidase is -20°C.
As I am performing the immobilization of Glucose oxidase-glutaraldehyde mixture at room temperature for 24 hours, will it affect the stability of the glucose oxidase?
Plus, should I be storing the SPCE with immobilised glucose oxidase at room temperature or at cool temperature (probably 4°C)?
Help appreciated!! Thanks
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-20ºC is the recommended temperature when the GOx enzyme is under a solid and dry form especially when you are considering long term storage (see paper attached).
Performing the immobilization of GOx at room temperature for 24 hours could affect its activity but, as Siba Moussa mentioned, glutaraldehyde could help its stabilisation.
Working with GOx and biosensors, I recommend a storage (immobilisation process) at 4ºC especially because the GOx is dropcast within a solution.
I hope this helps.
Best regards,
Marie B.
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I'm interested in very small changes of human skin temperature and so far I didn't found anything better than 0.1°C. I know there are a lot of sensors with a higher resolution but this unfortunatelly doesn't tell me anything about repeatability and precision. In a nutshell, I am searching for a sensor with high accuracy, high precision and high repeatability and would be glad to get some hints from the community.
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In order to a fast and accurate measure skin temperature for fever detection (covid-19 for example) it will be necessary infrared thermometers (including thermal image cameras) calibrated (with metrological traceability to SI) with uncertainties of the order of 0.1 ºC, within the range of 35 ºC and 40 ºC. Special calibration procedures, including in situ calibration and facilities for its realisation, for example in airports, will be essential.
Calibration Laboratories (accredited under 17025) and NMI, have to be ready to answer the near future demand for this special type of measurements. None skin temperature measurement (for fever detection) would have to be considered reliable without a calibration certificate assuring the metrological traceability of the thermometer.
The calibration have to inform to the user, on the corrections to apply and the assiciated uncertainty.
Measurements obtained with non-calibrated radiation thermometers, can lead to wrong deccisions in respect to prohibit or not, the passage of people to a certain area, city, country, etc.
In my oppinion it will be of crucial importance hereinafter.
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I am trying to understand the use of interdigitated electrodes for use in biosensors and wondering: how to choose a configuration(geometric parameters) to start? Can I simply get a random one and try to optimize?
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I wouldn't start with too small and too close electrodes (such as those with 5 - 10 um in width and gap), because in general they are the most sensitive, but also the most difficult to manage. Many of the paper I read uses the 100 um (width/gap) interdigitates, these devices can be a starting point, then to be optimized according to what use you make of them.