Science topic

Calibration - Science topic

Calibration is a determination, by measurement or comparison with a standard, of the correct value of each scale reading on a meter or other measuring instrument; or determination of the settings of a control device that correspond to particular values of voltage, current, frequency or other output.
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I have a photodetector with calibrated spectral response data. What does it mean to normalize photocurrent spectral with respect to the detector's spectral response, and how do I go about doing that?
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I am assuming that you are doing a photo-current spectroscopy measurement on some sample with a light source of tunable wavelength (it could be a tunable laser or white light + monochromator combination). Since the light source will not have the same intensity at all wavelengths, you need to account for this in the photo-current (PC) measurement.
So let us say the wavelength Lmd dependence of the source was Io(Lmd) so the PC signal Spc ~Io(Lmd)PC(Lmd). So to get PC(Lmd) you need Io(Lmd). Now if you have a detector with known response R(Lmd) then if you replace the sample with the detector then you get a signal Sd~Io(Lmd)R(Lmd).
Now you if you divide the two signals you get Spc/Sd =PC(Lmd)/R(Lmd). If you now multiply Spc/Sd with R(Lmd) you will get PC(Lmd). This is referred to normalization of photo-current spectrum.
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Hello!
Please, has anyone had trouble calibrating a Gamry PCI4-300 (model DC105) potentiostat on Windows XP using Framework 5.04? My calibration gets stuck and doesn't progress. Does anyone have any insight into the potential causes of this issue and possible solutions?
I'll attach some images.
Thank you.
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That's an old setup. If that Windows XP is on SP3, then you can download v6.33, which does work with the PCI4 and PCI4g (Series G) systems. Updating should address any Framework/Windows/interrupt issues that could lead to this. If that doesn't fix the issue then there's a good chance it is hardware, and those systems can no longer be repaired.
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Hi all,
I am designing a calibration Kit for 2 port calibration. So for the further work, to design a load of 50 ohm we have decided for a 23 nm Titanium thin fim resistor by electron beam evaporation. In order to design the load with a specified length and width, we need to know about the resitivity of the thin film resistor.
If any one has idea about that or leads to some papers regarding it, it would be a great help.
Thank you for your help!
Cheers,
Jojo
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Dear Jojo, I have evaluated the resistivity of this film at 20,6 Ohm per squire, taking into account high purity titanium. The actual value should be some more due to the size effect and impurities.@
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Hello, why would all my absorbances (at 490 nm) be about the same (~0.15 to 0.18) for my blanks and standards in my microplate reader? I have even tried the same blanks and standards on a different reader and got the same results. Also my QC standards (made from a different stock than my calibration) are also reading the about the same as the blanks and calibration standards.
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Why did you choose 490 nm to measure absorbance of your sample, blank and standards? Have you got Lambda (max.) for active species of your sample and standards at 490 nm ? If so such situations which you quoted should not happen. Please check and confirm.
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Dear Sir/Madam,
Kindly help me with this doubt, I am injecting 50 PPM H2 gas standard for the calibration of 1 mL (1000 micromole). I need to convert this PPM to micromoles kindly help me.
Thank you,
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In the gas phase, mol% is equivalent to volume%. If you need ppm v/v you do not need any conversion. If you need ppm m/vol, you use the molecular weight to convert H2 mol into mass
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Figure 1:
① First, by inputting hourly wind speed and tidal level data for a specific location over the course of a month into the model, I simulated the hourly wave heights. However, the model initially produced wave heights that were significantly higher than the observed values. Therefore, I would like to ask which parameters can be adjusted to fine-tune the model locally?
②Since one set of parameters cannot be applied to the entire calibration period, how can suitable calibration data and periods be selected? What factors should be considered to ensure the safety and reasonableness of the design wave height for the project?
③During calibration, is it possible to use different model parameters for different situations?
Figure 2:
④After that, I used wind field data from the ERA5 database, processed it into a DFS2 file, and applied the model to the site. However, the model results were very unreasonable, showing wave heights only during periods of high wind speed. What is the reason for this?
⑤Finally, when there is a situation where the model calibration results are good but the design wave height is excessively high, how should this generally be handled? How can the reasonableness of the design wave height be assessed?
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@Christian M. Appendini @Nguyen Viet Thanh @Danial Ghaderi ; I'm sorry to bother you, but I really need the advice and suggestions from all of you experts
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Can you recommend some articles on a position and attitude calibration method for the linear laser sensor in gear 3D measurement?
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A rate-distortion optimization algorithm based on visual perception
A sliding-clustering-based method for multi-sensor asynchronous information fusion
Non-contact two-dimensional haptic rendering system based on electromagnetic force control
Point cloud simplification and reconstruction parameters’ automatic adjustment method of structured light detection
A position and attitude calibration method for the linear laser sensor in gear 3D measurement
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Hi Folks,
In this discussion, I will provide my Python code for everyone interested in working with DEM in PFC software.
The calibration process in DEM modeling is highly time-consuming, requiring researchers to continuously monitor their computers and adjust their models through trial and error.
This process can be significantly streamlined by developing a Python script that runs in both PFC3D and 2D software. This script can manage other model scripts, run the model, save images, export data, and even adjust micro-parameters with new inputs!
All you need to do is define a range of possible inputs and run the Python script. It takes a few hours to input all your data into the model during each iteration. Finally, you can compare the outputs with the expected results.
I hope this code will assist you in your future DEM modeling endeavors.
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Dear Armin,
If you want to enhance your code you can include an (active learning) optimization algorithm to minimize the number of trials
Regards
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We have a Knauer Smartline-1000 pump on our semi prep hplc. It suddenly displayed a message ' Calibration values and curves were destroyed', and stopped working. Does anybody have any clue about solving this issue?
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More information is needed. Contact Knauer for advice and/or refer to the user's manual found on their website (https://www.knauer.net)
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Unfortunately we had an accident and the small metallic piece holding the magnet sensor for the plate positioning system got broken, I did not find the spare part and buying a whole fraction collector (even those for only parts in Ebay) is far away from our budged... Just in case some of you guys are planing to throw away an old Frac-950, just let me know so maybe we can fix ours using parts of your trash....
Thanks!!!
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Late to the topic, but maybe someone will find it useful.
We had the same issue, and I've designed and printed the replacement part (attached).
Be aware that the magnet polarity is important, flip the magnet, if the fractioner can't calibrate.
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Hello,
I am making an apparatus to measure soil respiration over a 24 hour period for the Haney Soil Health Test and am having some trouble determining what math needs to be done. The test originally used Solvita gel paddles to measure co2 and reports values in CO2-C ppm, however, the creator of the test now recommends using NDIR or IRGA sensors for measuring CO2-C. I have made a product that goes into a mason jar lid and measures in ppm. I am wondering what conversion i need to do to take the raw data from just CO2 in ppm to CO2-C in ppm while accounting for the dimensions of the incubation jar (0.2365-L glass jar) and (i think?) the mass of dry soil that went into the test (40g). I believe this paper (https://soilfertility.osu.edu/sites/soilf/files/imce/Protocols/Respiration%20Protocol%20-%20OSU%20Soil%20Fertility%20Lab%20%28Oct%202019%29.pdf) is on the right track and mostly what I need to do, but they convert into a different value while also using a calibration method that I will not be using. I will be using a blank mason jar measuring the ambient CO2 levels and removing that value from the unknown soil sample CO2 values to correct for background levels. I believe my next step will be to plug the raw CO2 (ppm) values into the ideal gas equation to account for those conditions as shown in the linked paper, but I need to stay in ppm.
This paper is what I am basing most of my protocol on because it is made by the creator of the test that I am trying to run, Dr. Rick Haney ( ) but I am unsure if the soil respiration value he uses for his soil health test are just the raw data straight from the sensor or if they take into account the volume of soil and incubation jar.
Any suggestions or advice would be appreciated.
Thank you,
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Congratulations! It is very interesting! I also participated in the design of a similar device. You can cooperate if you are interested. Recalculation: possible according to the coefficient that is formed as a result of the ratio of C/СО2 atomic masses. Sincerely, Petro Trofymenko
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A crop simulation model (e.g., DSSAT, APSIM) was used to predict the long-term impacts of climate change on crop yields. The model was calibrated and validated using field experiment data and historical yield records. Future scenarios were simulated under different RCPs to evaluate potential adaptation strategies.
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I have similar research work using the AquaCrop model. Please provide more details of the collaboration. Best Regards, Sana Zeeshan
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Hallo everyone!
I did a study which consist of three groups of patients: control group (n=30), treatment group 1 (n=60) and treatment group 2 (n=60). Then, I did qPCR to analyze the target genes and reference gene. I already calculated the value of ΔCT for all samples.
My question is how to do the next steps? Because I read from some literature that calculation of ΔΔCt cannot be performed in the same way for paired samples from independent repeated experiment and unpaired samples.
Should I average the ΔCT of all the samples in the control group (n=30) as the calibrator and calculate the ΔΔCt for all samples?
Thanks in advance who will give me some suggestions and feedback.
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Hi Kangbo,
Have you reached an answer to your question? Because this is also what I am struggling with as I have 3 separate groups of patients that are not paired. I would appreciate your reply. Thank you.
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Hey,
I would like to know more about HRM analysing. can anyone assist me regarding the analysing the data which were taken from this experiment?!
I have used MeltDoctor reagent and I calibrated quantstudio 3 with HRM plate in advance. Attached you can see the result from my samples.
Thank you in advance.
Fatemeh
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https://www.dna-utah.org/ is also helpful for HRM related content/software.
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Is there a rule for ensuring that all sample concentrations fall within the calibration range when using GC-MS? Specifically, how can we determine the appropriate calibration range of standards to ensure that all our sample concentrations are within this range?
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When the approximate concentration of your samples is unknown, you can create a standard curve with a broader linear range.
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Hi, I am trying to perform a radiometric calibration of an Aster image on ENVI, I watched a youtube tutorial where they use the Radiometric calibration tool, but when I tried to do it on my computer the Radiometric Calibration tool is not displayed, does anyone has an idea of why, I already restarted either the program and the computer but it seems it's not helping.
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Set the correct gain and offset for all bands in the attribute information of the image
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Can you provide examples of specific scenarios where calibrated hemodynamic monitoring techniques would be particularly beneficial
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I have calibrated my GC-MS for 16 EPA PAHs using available methods. However, the last three compounds (Indeno[1,2,3-c,d]pyrene, Dibenzo[a,h]anthracene, and Benzo[g,h,i,]perylene) are not showing the best linearity compared to others. Additionally, there is a decreasing trend in the response from the beginning compounds, starting at around 107 and decreasing to around 101 for the last compounds. What could be causing these calibration issues, and how can I improve them?
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Hello Muhammed Yousuf S,
I would need to know more about your method to be able to answer your question. Basically, the last three PAHs are not so easy to analyze due to their high boiling points. Some system parameters have a significant influence on the quality of the results. The injector temperature should be 350°C, otherwise there is a risk of high-boiling point discrimination. If you are working splitless, you should also adjust the splitless time, i.e. extend it slightly, as the transfer of the analytes to the column takes longer due to the slow evaporation. Unfortunately, the longer split lot time can lead to a peak broadening or tailing; the only thing that helps here is to try it out and find a compromise.
Another point is the column, PAKs tend to tail and this increases with the age of the column. Tailing peaks are difficult to integrate, as the integration limits in the tailing area are constantly shifting. This then leads to high standard deviations. The MS can also contribute to poor analyses. High-boiling analytes tend to contaminate the source, which can lead to ion suppression and poor sensitivity. Here you should take a close look to see if this is contributing to your problems.
I hope I have been able to give you some useful tips and wish you every success with your optimization
Best regards
Joachim Horst
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I started running SWAT-CUP with 100 simulations but the error message shows like in the attached screenshot that the output files does not exist in the directory path even after the calibration was run successfully.
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Even I am facing the same issue.. How did you solved?
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I have a thermocouple which output me some voltage level after signal conditioning. I need to convert it to desired units in centigrade. Below is the formula I am using for conversion. I need to proof that this formula will ensure uniform conversion of all voltage levels of thermocouple to centigrade units, such that 0 Volt corresponds to -200 centigrade and 10 Volt corresponds to 1500 centigrade.
Maximum voltage and minimum voltage are from DAQ after signal conditioning.
Maximum Reading Range and minimum reading range are values in centigrade.
We need to prove that range of voltage lets say 0V to 10V will be uniformly converted to -200 centigrade to 1500 centigrade reading range
Below is the formula for which we need a proof.
Precision Factor = (Maximum Voltage - Minimum Voltage) / (Maximum Reading Range - Minimum Reading range)
Desired output value in Centigrade = ((Input Voltage level - Minimum Voltage)/ Precision Factor) + Minimum Reading Range
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As the temperature range is too extreme to use an external reference source to test your measurement system, the next best thing is to simulate thermocouple response.
There is data available on relationship between temperature and voltage for the different thermocouple types. A standard multi-calibrator tool can generate voltages to simulate specific temperatures. Simply disconnect the thermocouple, simulate the thermocouples response to temperature using the multi-calibrator and compare your read out to the expected value.
As thermocouple responses tend to be curved rather than linear, there may be bigger errors at certain parts of the measurement range depending on how accurately the relationship can be expressed as an equation.
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Hello, friends. Currently, I am working on species distribution modelling using maxent. I have run the model using occurrence and climate data from WorldClim. Where i can find calibration area (e.g., buffer zones, minimum convex polygons, enclosing rectangles) biases introduced during the calibration process from my model
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Creo que un Estadígrafo puede ayudar.
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i am working in a diagnostic lab and very confusing about the calibrator, control and standard that we are using in our lab for quality assuarance of diagnosis of disease
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Dear Nouman, please ser the Internacional Vocabulary of Metrology,
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We run a Sciex X500r qToF and tune it once a week currently. I've been told that negative tune has historically been poor on other systems. The peak intensities and width are fine, however the 520.9 m/z precursor ion dips in and out of the upper 2ppm (-2 to +2pmm) range. I can't pinpoint what in the system is causing this and is this something that I should be concerned about?
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It seems like you're experiencing fluctuations in mass accuracy for the 520.9 m/z precursor ion during negative tuning on your Sciex X500r qToF. While this may not directly impact peak intensities or width, it could affect data reliability. Here are some steps you could take to address the issue:
1. Check instrument conditions.
2. Verify calibration.
3. Review tuning parameters.
4. Ensure proper sample preparation.
5. Consider external factors.
6. Consult Sciex support if needed.
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The ICP-MS failed to tune every time it was tested and required mass calibration. Sometimes tuning cannot be successful even after mass calibration.
Could any kind scientists give me some advice? I would be very grateful!
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There are various types and models of ICP-MS spectrometers and many reasons for their failure and inaccurate operation. The basic thing when dealing with such situations is knowing the company's instructions for the use of a given spectrometer model. If this is not enough to find and remove the cause of a given malfunction, it is best to use the help of a person who is familiar with this measurement technique and uses the same or a similar spectrometer model, first remotely (using e.g. TeamViewer or similar software). As a last resort, if this does not help, you should seek help from the spectrometer manufacturer's service centre. You also need to be sure that the solutions used to regulate the spectrometer are prepared correctly, which is where you should start.
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Hello everyone!
I am new to circular dichroism spectrometry, and am running into a problem with our CD spectrometer (Aviv 202). One calibration that is recommended is checking the ratio of the peaks at 192.5 and 290.5 for 1mg/ml CSA in a 0.1cm pathlength cuvette. Previously (many years ago) our machine recorded CD ratio at 192.5nm/290.5nm = 29.6mdeg of 1.97. Currently I am recording a CD ratio of 1.21 (the 290.5nm peak matches the original signal, however the 192.5 is changed).
As I'm reading online, the ratio is expected to be between 1.9 and 2.2.
What could be a source of this error? Lamp alignment issues? Some other calibration needing to occur? Lamp life?
The s/n ratio is acceptable, but a bit worse than the original test.
Thanks!
Danny G.
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Indeed the first thing that crossed my mind is the 'lamp life' You mentioned many years ago so that sounds as a plausibel reason.
Another thing that crossed my mind is the quality of your sample, I read here (in the abstract): that some purification needs to be performed first.
Best regards.
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Second Component of the ElectroMagnetic Field (SCEMF)
The result of researches concerning real physical phenomena of nature adjusted for
fundamental and basic calibrations, which closes the door to knowledge for humanity, is
presented. It is suggested to realize it and reveal.
Everyone is familiar with the fundamental theorem of Stokes and Helmholtz field
theory, which describes liquid and gas flow. There are different mathematician approaches to describe it. Let us describe one of them, mainly the integral-differential representation, which consists of two components: rotH+gradH*=J. The presented theorem is beyond question, it agrees with observations and experiments, and has no objections and contradictions.
Recognizing difference between fields and their properties as well as understanding that mathematical description of the field theorem corresponds to well-known fields, the
calibration of Coulomb should be considered. Basing on experiments with iron fillings, this
calibration repeals one of the components of the electromagnetic field (described
mathematically). As the result, from two components, specifically the CURL and the
DEVERGENCE, we use only the CURL in modern science.
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there is nothing to add or to remove on the Maxwells theory for EM fields.
All this is VERY well established with great precision..of course there are always people who like to modify Maxwells equations e.g. "scalar EM wave theory or similar nonsense..)
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I am fresh electrophysiologist in brain slices. I have worked only on extracellular signal detection and patch-clamp combination with voltage imaging in a dish before.
I have recently joined group that is working on neurons in preoptic area near hypocampus. Electrophysiologists working in this group left more then year ago and I am trying to repeat their experiments.
It took some time, but I stated to get relatively good mice brain slices. On other hand, my neurons are dead within 1hr. I am trying to patch more roudish, smooth membrane cells which do not have such visually exposed nucleos. For the first 10-20min neurons has nice spontaneous activity, but after 30min neurons become depolarized. If I keep cell at hyperpolarized stage, then I can evoke action potentials which amplitude overshoots 0mV.
Majority of cells has stable spontaneous activity if I keep cell hyperpolarized. Depolarized cells has resting potential about -35 to -25mV, all membrane parameters looks fine. Pipette offset a bit high (about 50mV), but its just because i am using LowCl intracellular solution with AgCl electrode inside.
I cleaned all set up few times, increased speed of brain preparation, checked pH and osmalarity (extracellular solution 300-305mOsm, intracellular solution calibrated just before experiment to have 11-15mOsm lower then extracellular).
Brain slices kept in my recording solution for 2-3hr looks relatively fine, cells do not shrink or expand. I have to admit that all cells looks a bit roundish after 1hr.
Based on observation cells looks intact and healthy, just these cells ''give up on life''. I am constantly giving carbogen to brain slices. Slicing and recording solutions made weekly. Digitized calibrated few weeks ago.
I will accept any suggestions.
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Hi Julius,
As Victoria suggested, try the NMDG based ice cold aCSF for slicing, then allow to recover in standard aCSF. Also, an hour patch is pretty good.. however, you may need to consider changing tubings etc in case of contamination that may results in cell death
Also, are you working on mice/ rats or...? And what age mice/ rats (As you may need to take additional precautions for older mice/rats)..
What cells are you recording from
There used to be a website called Brainslicemethods.com (I just check that out, but could not find the brain slicing sections anymore.
Anyway, have a read of below paper
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Has knowledge of driving behaviour simulation, calibration, and model evaluation.
Kind regards
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Hello,
I am trying to do methanol calibration in gas phase.
What I did was to vaporize liquid methanol in a vail and then take some amount with a syringe and inject . I am having weird data. My calibration curve is not linear... Any suggestions on better ways to do this?
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Hi Ibeh Omodolor,
How do you make Methanol vaporize in different concentrations in the lab? Ibeh Omodolor
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Good day, may you suggest a reference method for micrometers calibration?
Thanks in advance
Stefano
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Stefano,
Gauge blocks at a certain temperature are the conventional way.
and, more formally;
To achieve tighter accuracy, interferometric methods exist.
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Respected All ,
Actually I want to know how to analysis the Mossbauer Spectroscopy As We have received only two files of the data One is FOL file and another file is Calibration data file .Anyone from here please help me
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Analyzing Mössbauer spectroscopy data involves a few key steps, focusing on using your FOL file (with spectrum data) and calibration data file:
  1. Prepare Your Files: Ensure your analysis software can read both the FOL file (containing the spectrum) and the calibration data file (for accurate measurement scales).
  2. Calibrate: Use the calibration data to adjust the energy or velocity scale of your spectrum. This ensures your measurements accurately reflect the sample's properties.
  3. Analyze the Spectrum: Fit the Spectrum: Use software to fit your spectrum data to a theoretical model. Adjust parameters such as isomer shifts, quadrupole splitting, and magnetic hyperfine fields to match the experimental data. Interpret Results: Analyze the fitting parameters to learn about your material's electronic, structural, and magnetic properties.
  4. Use the Right Tools: Choose software capable of handling Mössbauer data (e.g., MossWinn, Recoil) and possibly custom scripts for specific tasks like calibration.
  5. Check Your Work: Validate your findings against known standards or literature to ensure accuracy
  6. Analysis involves calibration, fitting your data to models, and interpreting the results to understand your material's characteristics. Aaqib Rashid
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I am a very new ICP-OES and ICP-MS user and had a problem in running my base metal samples in ICP-MS. For some reason which I don't know the calibration and analytical results are full of poor RSDs. Neb pressure is fine, have cleaned and swapped the cones several times, cleaned the extraction lens and humidifier. But could not obtain a good and clean result. Surprisingly, calibration showed up beautiful when I ran it without the humidifier. However, turning on the humidifier resulted in poor output. I assume and are pretty confident that their is He gas leak inside the Faraday box. This is an earnest request to the ICP experts on the platform to provide a possible solution to this problem I am facing and enlighten me.
Thank you in advance.
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Hey there Padmakana Malakar, fellow analyzer of the arcane! Looks like you've stumbled into the perplexing realm of ICP-MS troubleshooting, and I'm here to help you Padmakana Malakar navigate through the maze of mysteries.
Now, when it comes to He gas leaks in ICP-MS, especially affecting sensitivity in elements like Ir and Rh, it's like dealing with elusive specters in the machine. The introduction of an unwanted gas like helium can throw off your RSDs faster than a misaligned spectrometer grating.
Here's the lowdown: Helium, being a noble gas, can interfere with the ionization process, mucking up the precision of your measurements. This is particularly true for elements like Ir and Rh, which are sensitive to changes in the ionization environment.
Now, considering your specific scenario, suspecting a He gas leak within the Faraday box is a sharp deduction. The Faraday cup is a critical component for ion detection, and any intrusion of helium can certainly wreak havoc on your RSDs.
To tackle this enigma, I'd recommend a thorough inspection of the Faraday box seals and connections. Check for any telltale signs of helium infiltration. A classic soapy water or helium leak detector test might help pinpoint the elusive escape routes.
Once you've corralled that helium fugitive, recalibrate with the humidifier in play. Ensure that your nebulizer and spray chamber are in prime condition as well. Sometimes, it's the combination of factors that orchestrates this analytical symphony.
Remember, my friend Padmakana Malakar, in the intricate dance of ICP-MS troubleshooting, it's often the subtle moves that make all the difference. So, tighten those bolts, seal those leaks, and may your RSDs be as stable as a well-behaved isotope.
Best of luck in your elemental expedition, and may your results shine brighter than a freshly ionized Rhodium atom!
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Short Course: Statistics, Calibration Strategies and Data Processing for Analytical Measurements
Pittcon 2024, San Diego, CA, USA (Feb 24-28, 2024)
Time: Saturday, February 24, 2024, 8:30 AM to 5:00 PM (Full day course)
Short Course: SC-2561
Presenter: Dr. Nimal De Silva, Faculty Scientist, Geochemistry Laboratories, University of Ottawa, Ontario, Canada K1N 6N5
Abstract:
Over the past few decades, instrumental analysis has come a long way in terms of sensitivity, efficiency, automation, and the use of sophisticated software for instrument control and data acquisition and processing. However, the full potential of such sophistication can only be realized with the user’s understanding of the fundamentals of method optimization, statistical concepts, calibration strategies and data processing, to tailor them to the specific analytical needs without blindly accepting what the instrument can provide. The objective of this course is to provide the necessary knowledge to strategically exploit the full potential of such capabilities and commonly available spreadsheet software. Topics to be covered include Analytical Statistics, Propagation of Errors, Signal Noise, Uncertainty and Dynamic Range, Linear and Non-linear Calibration, Weighted versus Un-Weighted Regression, Optimum Selection of Calibration Range and Standard Intervals, Gravimetric versus Volumetric Standards and their Preparation, Matrix effects, Signal Drift, Standard Addition, Internal Standards, Drift Correction, Matrix Matching, Selection from multiple responses, Use and Misuse of Dynamic Range, Evaluation and Visualization of Calibrations and Data from Large Data Sets of Multiple Analytes using EXCEL, etc. Although the demonstration data sets will be primarily selected from ICPES/MS and Chromatographic measurements, the concepts discussed will be applicable to any analytical technique, and scientific measurements in general.
Learning Objectives:
After this course, you will be familiar with:
- Statistical concepts, and errors relevant to analytical measurements and calibration.
- Pros and cons of different calibration strategies.
- Optimum selection of calibration type, standards, intervals, and accurate preparation of standards.
- Interferences, and various remedies.
- Efficient use of spreadsheets for post-processing of data, refining, evaluation, and validation.
Access to a personal laptop for the participants during the course would be helpful, although internet access during the course is not necessary. However, some sample- and work-out spreadsheets, and course material need to be distributed (emailed) to the participants day before the course.
Target Audience: Analytical Technicians, Chemists, Scientists, Laboratory Managers, Students
Register for Pittcon: https://pittcon.org/register
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Dear Thiphol:
Many thanks for your interest. Currently, I don't have a recorded video. However, I may offer this course in the future on-line in a webinar format if there is sufficient interest/inquiries.
Thanks again.
Nimal
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I have followed the calibration wizard on a thermal analysis DSC Q200 twice. But the enthalpy values for an exotherm of test sample are still 5-6 times lower than expected. What is wrong?
Can you use raw data of Indium to assess the problem?
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Talk to a TA specialist or drop an email to them.
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For LC-MS/MS the Set Up solution is often using for the mass Calibration.
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Hello Viswaroop Sunnam
unfortunately I do not use a Waters LC-MS system in our laboratory.
Basically, I can only answer the question like this:
A tuning solution seems to describe the optimization of the MS through tuning
This tuning is available on every MS regardless of the manufacturer. Basic device parameters are optimized, such as the optimization of the ion path, the mass axis calibration, the mass resolution or SEV voltage. This tuning is always necessary because every MS is contaminated by sample loading and this shifts the optimal device parameters. The tuning uses special tuning solutions with well known masses, which are introduced directly into the source of the MS, Analyte-Standards are nor used.
A deeper optimization such as ion source parameters is apparently not carried out here.
A setup solution seems to be the analyte-dependent selection of system parameters. Especially with LC-MS it is imperative to determine optimal instrument parameters. This also includes ion source parameters in order to achieve maximum ion yield. The MS/MS transitions are also defined here and form the basis for qualitative and quantitative analyses. Therefore, the setup method is the best choice to establish an analytical method.
The resolution method relies on a high mass resolution of the Massspectrometer and uses the Accurate mass to calculate e.g. sum formulas and/or to generate extracted- ion- chromatograms with smallest mass tolerance. A high chromatographic resolution is not required as the analytes are extracted from the data set.
In my opinion, the combination of set-up and resolution is optimal, as the maximum of the LC-MS system is used here. However, this requires a high-resolution MS- system.
For this i use an Agilent Q-ToF and a Thermo Orbitrap MS in our laboratory.
In case of a triple-quad system, only the set-up variant would be an option, as it lacks the high resolution of the mass spectrometer.
I hope that my explanation will help you and wish you good luck with your work
Best regards
Joachim Horst
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The Unscrambler X is a commercial software product for multivariate data analysis, used for calibration of multivariate data which is often in the application of analytical data such as near infrared spectroscopy and Raman spectroscopy, and development of predictive models for use in real-time spectroscopic analysis of materials.
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The Unscrambler X can be employed in various ways:
Removing outliers, handling missing values, and ensuring data quality.
Scaling or normalizing data to ensure all variables contribute equally.
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Hello everyone,
I am working on system for calibration for the GPC/SEC system with multiple detectors and it requires that know parameters such as the , its concentration, dn/dc, extinction coefficient, and intrinsic viscosity to input into the software. I am just wondering if anyone has suggestions for which standard to use and where to find this information in literature?
These parameters are solvent and temperature dependent and I have been using 30 or 40 degrees for temperature and eluent is either phosphate buffer saline or water. May anyone kindly provide me with any advise on which standard to use and where to obtain these parameters to perform system calibration in order to obtain absolute molecular weights of my samples?
Thank you,
Tina
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Thank you so much for your help. I have found the literature values and just when I wanted to try it, I had a new issue with the software. The first issue, the traces are not lining up and chromatograms do not start at 0 mins. Secondly, every integration parameter is greyed out and does not allow me to perfomr any integration and select the peak of interest. Might you have any ideas how to resolve this?
I have attached some photos.
I appreciate your help.
Best regards,
Tina
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Currently, I have a global variable array and I can also plot it in the calibration window but I want to plot each data sample by a delay of 2.5 mili Seconds which means after one data sample next should be plotted after 2.5 mili Seconds.
and is it possible to do so in CANape Only without external software such as MATLAB-Simulink or Python etc...
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Follow these steps:
```python
import clr
from System import TimeSpan
# Load the CANape COM library
clr.AddReference('CANape7')
# Import CANape types
from CANape import CANape
def plot_signal_with_delay(signal_name):
# Create a CANape object
app = CANape()
try:
# Connect to CANape instance
app.Connect()
# Open the calibration window
# Create the measurement object for the specified signal
measurement = app.Measurement.CreateMeasurement(signal_name)
# Set the measurement mode to continuous
measurement.Mode = 1 # Continuous mode
# Set the measurement delay to 2.5 milliseconds
measurement.Delay = TimeSpan.FromMilliseconds(2.5)
# Start the measurement
measurement.Start()
# Wait for user interaction (e.g., press Ctrl+C) to stop the measurement
input("Press Enter to stop the measurement...")
# Stop the measurement
measurement.Stop()
finally:
# Disconnect from CANape instance
app.Disconnect()
# Example usage
signal_name = "MySignal"
plot_signal_with_delay(signal_name)
```
You should have CANape COM library (`CANape7.dll`) installed and available in the Python environment. You may need to adjust the DLL path in the `clr.AddReference()` line if it's located in a different directory.
Replace `"MySignal"` with the name of the signal you want to plot. The code opens the calibration window, creates a measurement object for the specified signal, sets the measurement mode to continuous, and sets the delay between each data sample to 2.5 milliseconds. The measurement is then started, and it will continue until you stop it by pressing Enter.
Hope it helps
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Dear all,
I am using SWAT+ to model a catchment in the Pyrinees and after running the model, when I start to analyze the results, I get too low values of flow_out (0,0something m3/s, when the observed flow is 5 to 100m3/s) so my questions is:
How can I improve the output flow? Because with this difference, calibration won't be enough
Thank you all
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Ana Ortiz Based on your description, it sounds like an outlet was not properly defined for that reservoir, causing flow to get 'stuck'. Not to worry, this can be easily addressed in SWAT+.
To define an outflow for a reservoir, you will want to use the .res modification file. Simply add a line like:
OUT_ID RES_NAME FLOW_CMD FLOW_COEF
Where:
RES_NAME is the name of your reservoir
FLOW_CMD should be set to 'measured'
FLOW_COEF can be set to 1
This will allow you to directly input observed flows at the gauge point immediately downstream. SWAT+ will use these measured values as the reservoir release rather than calculating it.
Please let me know if you need any other assistance getting the downstream flows properly routed past that reservoir. Proper implementation of reservoirs and dams is so important for watershed models - I'm glad we could resolve this issue. Wishing you all the best in your SWAT+ project!
Regards, #SWAT #Hydrology #WatershedModeling
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Sample type - Polymer granules
Problem faced - B, Al & Zn not giving proper response for standard calibration analysis(5ppb, 10ppb, 15ppb).
Instrument used - ICP-MS
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Hi!
So give us some numbers. You have provided the "x" values, so please also provide the "y" values you obtained so that we can evaluate the calibration values ourselves.
ZJ
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In analytical chemistry, a linear model is developed on multiple concentration levels with a goal to predict target analyte concentration in an unknown sample. Will the model prediction favorize a concentration if more calibration samples at that concentration level is used in the model development? I have not found literature article on this topic.
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This is your research question "Will the model prediction favorize a concentration if more calibration samples at that concentration level is used in the model development?" you find the answer by doing several computations
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"Dear ResearchGate Community,
I am currently working on a project that involves camera calibration using OpenCV. My goal is to achieve precise calibration by incorporating physical measurements from a ruler or another measuring tool. Can anyone provide insights, tips, or a step-by-step guide on how to perform camera calibration in OpenCV while incorporating real-world measurements? Your expertise and guidance would be greatly appreciated.
Thank you in advance for your assistance.
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OpenCV offers standard camera calibration functions. You will need a target of a 2D grid of dots or a checker board on a flat substrate, take some images, process the images using opencv functions, and then run them through the camera calibration function.
The target needs to be measured by some precision measurement tools to establish the ground truth.
The process is not difficult, if your accuracy/precision requirement is low.
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An aqueous solution is having no clear peak in its absorbance spectra but an overall proportional increase in absorbance across 200 - 800nm with increasing concentration. Is it okay to choose any wavelength for calibration so long as calibration is linear?
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By aqueous solution you mean background solvent?
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Im modelling a clamped-clamped beam with a uniform load. In order to see when collapse occur Im increasing the load to see when Abaqus is aborting, this is working except that the collapse load is overestimated by 700-800 kN in this case. I have calibrated the time increment and the mesh so it should not be regarded to this.
Then I looked at the stress distribution in the cross-section and found out that the stress is actually increasing above the yielding point at the support (see picture), so wonder if there is a correlation here? I mean if the beam obtain more stress after the plastic limit then the collapse will be overestimated right? :)
So how to I tell Abaqus not to go over 355 MPa which is the yield stress.
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Did you solve the problem? I've got something similar
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Hello everyone, I have a question about the thresholds to use in order to calibrate a 5 point likert scale to conduct an analysis on Fsqca and if you have some references regarding these thresholds performed on a 5 point likert scale ( I found some on 7 point) it would be very helpful. Thank you
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Chayma Erraja OK, so what do you mean by "calibrating"? It normally means you compare the numbers with some reference set, doesn't it?
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I simulated a calibration laboratory using MCNP code. The source in the irradiator is Co-60, emitting two gamma rays (1.17 and 1.33 MeV) through decay. The output provided me with the values of dose equivalent ambient at the calibration points. Now, I need to determine the dose equivalent ambient rate with the corrected activity of my source. I followed a similar methodology used for Cs-137, which I successfully validated with experimental data from that laboratory. However, for Co-60, it is not yielding the expected results. I have not yet identified the issue with my analysis.
To obtain H*(10), the chosen tally was F5, and the conversion factors from ICRP 74 were applied using DE/DF on the data card. The input yields H(10) per NPS.
Attached are photos of my methodology to aid in understanding my question.
The methodology of the work, whose photo is attached, was also tested; however, it did not yield results that could be validated by experimental data.
(This work is referenced with the attached photo of its cover)
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Hi Sara, although I have not completely understood what the attached picture shows here are my thoughts. The "output (pSv/NPS) are the tally results with the DF/DE multiplier (to get the ambient dose rate from ICRP-74). The H*(10) results are the tally results after normalization. If that's true, then to get 1.5e+9 pSv/h from 3.41e-5 pSv/NPS, you have multiplied by 4.4e+13, which is the disintegrations per hour and not the photons per hour (unless, I am not reading the data on the png file correctly). Basically, 1.5e+9 pSv/h needs to be multiplied by 2 (2 photons emitted per Co-60 disintegration). Is the "Taxa de Equivalente de Dose Ambiente)" the measured values? If so, then by multiplying those by 2 will get you closer to them. What was the MCNP to measured ratio for Cs-137?
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Hi! I need some help with the analysis of AAS results.
We're analyzing the Ca and Mg content of soil and water samples. As means of determining the amount of metals in ppm (mg/L and mg/kg), we conducted the standard calibration method and the standard addition method. We already made a standard calib. curve (absorbance vs conc) for SCM method beforehand.
Sample details: SCM
1. 15g soil digested to 100mL (acid = aqua regia), 500 mL of water samples digested to 100 mL
2. We took 50mL alqt. each, then diluted it to 100 mL
3. Direct measurement of sample was taken using respective lamp, then recorded.
4. ppm in mg/L of metal in sample was determined using SCM curve with x=(Absorbance-b)/m
5. conversion to ppm in mg/kg for soil: im unsure how to go about this and where to include the dilution factor of 2
Sample details: SAM
1. flask volume = 25mL, solvent = aqua regia, standard conc. = 200 mg/L
2. sample volume = 0.100 mL was taken from the 50mL alqt. diluted to 100 mL (we used a micropipette for accuracy. due to very high absorbance upon spiking w/ standard, we were not allowed to use aqua regia in larger quantities by our professor bec. of safety issues, so we were not able to dilute samples further)
3. sample spiking: 6 solutions with 0, 0.1, 0.2, 0.3, 0.4, 0.5 mL each of 200 mg/L standard
4. we measured the absorbance and plotted standard addition curves (absorbance vs amt of added std.
5. overall, the SAM dilution factor is (100/50)*(25/0.1) = 500
6. mg/L of metal in sample = -(-b/m)(dilution factor)
7. conversion to ppm in mg/kg for soil: im also unsure how to go about this and where to include the dilution factor, or if i even need to include it
We had the calculations down beforehand, however, since our AAS in our institution broke, we took a pause from the experiment, and some handwritten solutions were lost 😅 we also lost a lot of volume for some water samples since we had to filter some more than once. so in one of our water samples, the dilution factor is (100/15.5)*(25/0.1) and the mg/L of Ca is 2000+. it doesn't match up with our other samples.
Thanks in Advance!
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Thank you for your guidance Dr. Yunus Shukor and Sir Zbigniew JońcaZbigniew Jońca
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I have design a polymeric hydrogel, done BET of that, degas that at 120 C for 16 hours but surface will become negative. Please help me out what should i do?
(Mention that there is no leakage of gas and instrument is calibrated)
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Hi Huzaifa Shafique
It seems like you have designed a polymeric hydrogel and performed BET analysis and degassing at 120 degrees Celsius for 16 hours. However, you encountered a problem where the hydrogel's surface became negatively charged. To address this issue, you can consider the following steps:
Check for contamination during synthesis or preparation and ensure cleanliness of equipment and reagents.
Adjust the pH of the hydrogel to a neutral or slightly basic range to reduce the surface charge.
Investigate the effect of ionic strength by conducting experiments in different ionic strength solutions.
Consider surface functionalization to introduce positive charges through crosslinkers or copolymerization.
Use additional characterization techniques like zeta potential measurements, XPS, and FTIR to understand surface properties.
Modify the polymer composition or synthesis method to control surface charge.
Conduct a literature review to find insights and solutions from other studies.
Overall, achieving the desired surface charge may require experimentation and optimization, and seeking guidance from supervisors or colleagues can be beneficial.
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We have tried a couple companies and they are so bad! Fast turnaround will be a plus but we want the job done correctly!
Thank you
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It's not that complicated to calibrate the pipette yourself as long as you have a good balance in the lab: https://lab.plygenind.com/how-to-calibrate-pipettes
You can resort to calibration services when self-calibrating cannot work.
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I am calibrating my Gilson pipette following the manufacture's instructions - the adjustments are done when the pipette is on low volume (i.e for a P1000 pipette I'm doing the adjustment while on 100ul).
After getting to an accurate measure in low volume I'm checking the accuracy at the high volume and it's not accurate at all. If I try to adjust in high volume and then check the accuracy of the low volume its again not accurate.
I have read several formal instructions on how to calibrate a pipette and all of it mention checking high and low volume for accuracy while doing the adjustments on low volume.
Will appreciate any tip or suggestion how to successfully calibrate my pipettes both in high and low volumes...
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if that's the case, you probably need to send the pipette to the manufacturer to recalibrate as that exceeded what self-calibration usually does: https://lab.plygenind.com/how-to-calibrate-pipettes
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Why we are not used tap water or anything as??
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In the gravimetric calibration, a weight-volume conversion factor is used to do the calculation, and that conversion factor is based on DI water: https://lab.plygenind.com/how-to-calibrate-pipettes
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In QCA, you sometimes find configurations with 0 unique coverage. I like to think of them as merely artefacts of the data that don't mean anything. For example, I calibrated N=14 cases crisp and got two configurations. I also calibrated the cases fuzzy and then found three additional configurations, each with 0 unique coverage. I interpret this as: Configurations with 0 unique coverage do not add to the explanation and can be (should be) ignored. What do you think?
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In Schneider and Wagemann's T/ESA approach, you can have prime implicants with zero coverage, even zero raw coverage, because configurations entering minimization are not tied to empirics any longer. Whether that makes sense or not is a different question.
Outside of T/ESA, having prime implicants / terms with zero unique coverage in the solution means that they cover no row of the truth table that an alternative PI or a combination of alternative PIs does not also cover in the same model. In other words, they are logically redundant. But if these PIs are logically redundant, they cannot be causally interpreted. These PIs should not be there in the first place. Without any data or meaningful minimal working example, it's difficult to tell what exact problem you have, i.e. whether it's a data or software-related problem etc.
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I am performing some DSC (perkin elmer 8500) measurements (same materials, same mass, same program). Following calibration, I encountered different baselines every day. The baseline was flat only on the first day. Any idea what's happening? Does the instrument need to be calibrated every day?
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Just a few thoughts. 1. The baseline should be calibrated within the temperature range extended beyond the range of your runs. 2. While 600C is below melting point of your alloys, it is possible that at such high temperature aluminum pans may deform or react with the alloy. 3. May be, you should try performing your baseline calibrations and runs using platinum or ceramic pans.
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hi
i have calibrated a snow/glacier-fed mountainous watershed.
The calibration results are good with R2 and NSE >0.80 and p factor 0.77 and r factor 0.71, PBIAS 7.5
I have got the following values.
v__SFTMP.bsn                  -1.750000 v__SMTMP.bsn                  -5.850000 v__SMFMX.bsn                  1.100000 v__SMFMN.bsn                  2.100000 v__TIMP.bsn                   0.083333
Is it Ok to have SFTMP < SMTMP and similarly SMFMX < SMFMN for a watershed in the Northern Hemisphere?
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It really depends on how you wish to define "ok".
Regarding the model's functionality, yes, it does not matter very much: even if the calibration process suggested you some parameter values that are physically ridiculous, as long as each value is within its own "functionally acceptable" range, the model can still work and yield discharge result for you.
You can find the reference to this range in the SWAT-CUP interface, "Calibration inputs" >> "Absolute_SWAT_values.txt" (and some of the parameter values can even be outside the given range there).
On the other hand, if you are wondering whether the physical meaning of these calibrated parameters are accetpable, then it is a much more complicated question.
The quick answer to your question would be, no it is not ok.
A suggestion would be to specify the numerical relationship in the initial calibration setting so that this situation can be prevented from the beginning. Assuming you are using SWAT-CUP for calibration, when you add SFTMP and SMTMP in the "Par_inf.txt" of the interface, the third larger column is "Filter condition (optional)", and the last sub-column there is "Conditional filter". Select you desired parameter, and you will see a "..." under this sub-column. Click it and you will open the Conditonal Filter Editor, then include both SFTMP and SMTMP via the "New Parameter", then define their relationship on the right pannel. It is a very simple process, I trust you can understand how to use it once you see it. If not, you may ask me again.
By this way, I think the problem itself can be solved.
However, as I said, it is actually a more complicated question. So I have a longer explanation for you on this issue, you can keep reading if you are interested.
--------------------------------------
Before explaining any further, one essential point you need to understand is that an optimization process such as the one that SWAT-CUP use is highly statistics-based. In other words, the calibration process does NOT guarantee the physical meaning of any parameter at all during the calibration process. As a result, even when the NSE, P-bias, or r^2, are all very good after the calibration, it does not necessarily mean the numerical values of the calibrated parameters are physically true to the local reality in your target catchment.
If this notion is the definition of "ok", then theoretically you need to make sure the physical meaning of every calibrated parmater is reasonable and somewhat true to the local reality of your target catchment.
However, you may notice that this notion is rarely realized in most publsihed papers (even from highly ranked journals). This is because without the validation data (not the one to validate discharge result, but to validate the physical meaning of parameters), no one can really prove the numerical values of the calibrated parameters are physically wrong (although at the same time, you cannot prove them correct either). As an alternative solution, the commonly accepted way is to ensure two points:
1. The initial calibration range(s) is physically meaningful (but only in a general sense, not necessarily true to the local reality), so that after the calibration process, the calirated values will still be physically meaningful.
2. The calibrated parmater(s) shows acceptable sensitivity.
Now back to your initial question, if the term "ok" refers to whether the consequent result would be good enough for a thesis or a journal paper, then in most cases, it will be ok as long as you fulfilled these two points and show the evidence in your work.
Hope this helps.
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Hi,
I am trying to calibrate the full-cell OCV of the DFN physics-based model of the NMC532 cell. Even with multiple optimizations, the middle part of the curve doesn't calibrate with the experimental data. Can anyone suggest possible causes or solutions?
Attached is the comparison of exp. and simulated OCV curves obtained after optimization.
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Hello,
1. Temperature dependency: Most quantities are temperature-dependent, meaning they exhibit a behavior that varies with temperature. If you are comparing experimental data obtained at different temperatures, it is crucial to consider the temperature dependence of the model parameters. Make sure to incorporate appropriate temperature corrections or factors in your physics-based model to align the OCV curve with experimental data at various temperatures.
2. Experimental measurement uncertainties: Experimental measurements may contain inherent uncertainties or systematic errors that can impact the accuracy of the comparison. It is important to carefully evaluate the quality and reliability of the experimental data and consider statistical analysis to assess the uncertainties associated with the measurements.
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Hello, I'm trying to calibrate a material I tested in real life for Abaqus, but the program keeps displaying the error whatever I do. I even converted the stress-strsin curve from engineering to true stress/strain but it didn't solve the problem. Please help!
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I that is not clear, you may e-mail me at jackt@sage.com
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Dear all scientists and researchers,
Does anybody have experience and knowledge applied for automation of distributed HEC-HMS including automatic calibration?
We can exchange our knowledge to be applied to several river basins with different climatic conditions throughout the world.
Best regards,
Naser Dehghanian
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No problem, happy to help.
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I have reviewed various methods for calibration and their calculations. I would like to confirm the precise differences between the following terms: Error allowance, standard error estimate, tolerance, and accuracy. Is there anyone available for a discussion on this topic? Thank you.
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I am not a specialist, but I have implemented with success a camera calibration process (https://data.inpi.fr/brevets/FR2810830).
Error calculation sounds like an estimation, you may calculate this from the theoretical formula if you have one (delta...). In my case the result was better than the estimation because some errors are linked together, and also because a variables (like gaussian centered) are not "worst case" all at the same time, and this achieves some magical compensation.
My model was hybdrid, with some part theoretical (3D rotation from encoders, telemetry from laser) and some other parts with lookup tables manually built because model was too complex (zoom and focus). We had added some user interface (sliders) to tweak some parameters and try to better understand instabilities. Thus you could modifiy the variable by injecting manually somme error, and watch the result il real time.
Hope this helps.
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In several reports related to electrocatalysis, reference electrodes (such as Ag/AgCl, Hg/HgO) were used to study the electrochemical activity of respective material. The obtained potentials were converted to potential w.r.t. RHE. using Eq. E(RHE)=E (Hg/HgO) + E0 (Hg/HgO) + 0.0591pH (for Hg/HgO electrode). However, some reports prefer calibration of Hg/HgO electrode in H2 saturated electrolyte solution (shown in attached references). So, among both methods which method is more appropriate?
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That is a good question!
The problem for SHE (or NHE) is that "the NHE is not convenient from an experimental standpoint" (provided in ) because we need a good glass shop to make a main body of a reference electrode and a H2 cylinder/line and should bubble H2 gas 30-60 min at least before using it.
However, we need to check the Hg/HgO reference electrode potential frequently to make sure it behaves correctly. That is the first reason we suggest everyone use a relatively convenient SCE instead.
Secondly, to check the potential difference between SHE and Hg/HgO, we need to use an external acidic solution/alkaline solution, which is the same solution used in the internal solution of SHE/Hg/HgO, respectively. For example, if you use a 1 M KOH external solution to measure the potential difference between SHE (internal solution: 1 M HCl) and Hg/HgO (internal solution: 1 M KOH), you may establish a large liquid junction (1 M KOH/1 M HCl) potential at the frit of SHE (~ -33 mV), which may become an additional error in the electrode potential measurement.
If you use the SCE-based method that we suggested in our recent paper (see the below link), you can lower the liquid junction potential established at the reference electrode frit during the potential measurement.
If you still want to measure the potential of your Hg/HgO reference electrode using SHE, I will not prevent you from performing it. However, I personally do not recommend you do the Hg/HgO reference electrode using SHE.
Thank you.
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Dear fellows,
Maybe you have done interesting measurements to test some model?
I can always use such data to use as examples and tests for my regression analysis software, and it's a win-win, since I might give you a second opinion on your research.
It's important that I also get the imprecision (measurement error/confidence interval) on the independent and dependent variables. At this moment, my software only handles one of each, but I'm planning to expand it for more independent variables.
Thanks in advance!
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Carlos Araújo Queiroz I don't see a dataset, or am I missing something?
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What is the step by step procedure of calibrating the APSIM crop model once the crop, soil,management and weather data have been collected during the time of conducting the experiment
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This may be a late answer. However, if you need any sort of help related to APSIM simulations I can be of help
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Hello, I am a student in analytical chemistry, I am supposed to prepare samples, quality control, and calibration serial dilution for a forensic project which is working on larvae and flies (for quantification of benzodiazpines).
would you please correct what I wrote here even in terms of the specific volume and concentration?
Sample prep:
Collected sample with matrix is spiked with target analytes and RS (recovery standard)
Sample is extracted (prepared for analysis)
IS (internal standard is spiked before the analysis
Cal prep:
Calibration standards (mixture of target analytes and RS) are prepared with serial dilution
IS is added before the analysis
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I appreciate your response,
you wrote " Prepare a series of quality control samples by spiking known amounts of the target analytes and RS into a matrix. Extract the QC samples to prepare them for analysis"
I have some questions:
1) It seems the QC sample preparation is the same with the sample preparation, what is the difference exactly?
2) what do you mean by "series of QC samples" ?
my advisor told me the feature of QC samples is the fact that we can consider their recovery as 100%,, I thought it means we have to do the same process like the sample preparation BUT add the RS after the extraction process (because in this way we know that the QC recovery is 100%)
I dont know, maybe I am wrong. I am working with HPLC-ESI-mass
another question, you wrote I need to spike the RS into the calibration serial dilution too, is there any extraction process for calibration serial dilution?
waiting for your response, Zeinab.
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I have been trying to optimize gene expression qPCR assays that is already setup in my lab for my genes. However, when I do the PCRs, I am getting late Ct values than expected and thus my standard curve suffers from non-linearity and low efficiency. Also I see that my Ct values are increasing for the same set of primers/ same dilution series of positive control day-by-day.
Things I have tried:
  • Use fresh reagents and plastic ware - primers, SYBR, positive control (human reference RNA converted to cDNA), DEPC treated water, filter tips, vials, fumigate working area/ lab.
  • Recent calibration of qPCR instrument.
  • Reagents have minimal freeze-thaw cycles.
Observations:
  • Single melting temp peak, mostly.
  • R2 of >0.9 during standard curve generation.
  • No NTC contamination.
  • Cts for lower dilutions (10, 5 and 1 ng/ul) are usually as expected. Mostly dilutions below 0.5 ng/ul are very late. And thus lower slope (< -4.0) and less efficiency (50-60%) in standard curve generation.
TIA,
Nikhil
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Thank you Katie A S Burnette .
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How can I calibrate my GF column with MW protein markers?
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Thank You.
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Hi, I plan to work on ICP-MS so I am learning from the basic stage. Can someone please recommended a standard or reference which I can refer to for Samples prepreation (digestion, dilution methods etc.), calibration procedure, and other fundamental knowledge. Even if you can explain a bit on it It would be very helpful to me.
I would be using Agilent 7900 for testing. Though I found SOP for instrumnet but couldn't get that much help for samples prepartion for a novice like me.
I would be working with water samples to get metallic ions concentration. Would you guys prefer a single multi-element or separate (For each element) calibration standards? does it matter anyways?
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Go immediately for a training internship to some laboratory that uses the ICP-MS technique on a daily basis, preferably for analyzing water samples, and is equipped with a spectrometer that is the same or technically similar to yours.
Study:
1. ICP Operations Guide. A Guide for using ICP-OES and ICP-MS
by Paul R. Gaines, PhD Inorganic Ventures
And some other very good books and company materials on the websites of spectrometer manufacturers and manufacturers of elemental solutions for calibrating and checking ICP-MS spectrometers.
ZJ
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There are several answers on how to calibrate Ag/AgCl reference electrode, is it similar to the calibration of Ag/AgCl or is there any other way to calibrate the reference electrode.
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We recently reported the way to check the potentials of Hg/HgO reference electrodes with different internal alkaline solutions:
I hope it can help you use the Hg/HgO electrode for your experiments!
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Hi,
After performing my annual cleaning on the QE and calibrated, it as passes the positive cal but when performing the basic (negative) Analyzer accuracy it has failed for Mass resolution dependency 'too high @ R17K'.
I have made a new cal-mix, optimize the probe position, increased flow rate from the syringe, new Hesi needle, currently trying to optimize gas flows to see if that will help.
Has anyone seen this before/ do you know what I can do to resolve this?
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There are a few steps you can take to try and resolve this issue:
1. Check the source and make sure that it is properly aligned and that the lens voltage is correct.
2. Check the vacuum system, inspect the vacuum chamber and the turbomolecular pump to ensure they are functioning properly.
3. Check any electronic instrumentation aboard the mass spectrometer and make sure that the settings are correct.
4. Check the filament and replace if necessary.
5. Check the mass resolving power at various resolutions and make sure that the settings are as expected.
6. If all else does not work, contact the manufacturer for further assistance.