Dermatoglyphics - Science topic

Metabolic footprinting analyzes extracellular metabolites secreted or consumed by cells, reflecting their interaction with the environment. Metabolic fingerprinting profiles intracellular metabolites to capture the internal metabolic state of cells or tissues.

Dear Prof. Malik,

Could you please specify which kinf of vanadate nanophosphor do you refer to? YVO4:Eu?

All the best,

Thomas

Dear Friday Ameh ,

The term ‘biometrics’ refers to the distinctive physical or behaviouralcharacteristics of an individual that can be exploited for the purpose of electronicidentification and authentication. Among the many types of biometric identifiers,some examples are fingerprints, face traits, speech patterns, and handwritingspeed. Each one of these identities can be used independently as a uniqueidentifier for a certain individual, and they can also be used in conjunction withone another to increase the reliability of identification. Today, biometrics arefinding an increasing number of applications across a wide range of industries.The utilisation of artificial intelligence (AI) in the field of biometrics israpidly developing, with the objective of enhancing the dependability, efficiency,and safety of biometric identification systems. (PDF) AI Based Advancements in Biometrics and its Applications. Available from: https://www.researchgate.net/publication/383551254_AI_Based_Advancements_in_Biometrics_and_its_Applications [accessed Jan 09 2025].

Regards,

Shafagat

There are some challenging issues.

Need prompt expert in this field to reveal results, as there may be errors in indicating false results.

Contamination will collapse total protocol.

Environmental factors may change the originality of results

You know that in crystalline solids we get sharp narrow peaks due to the periodic arrangement of atoms. X-rays diffract only in certain directions. so, at a certain angle, we get high sharp intensity.

A similar answer is for your question.

Some peaks show high-intensity because there is long periodicity in that direction, so at that angle, we get a high peak. if there is short periodicity, for we will get short intense peaks.

Hope you got the answer now.

Researchers in Prof. Richard Zare's laboratory have developed a fast, accurate mass spectrometry technique for distinguishing an individual's gender, age or ethnicity based on the chemical composition of sweat. This invention utilizes desorption electrospray mass spectroscopy imaging (DESI-MSI) to analyze both the fingerprint pattern and the composition of lipids and other metabolites from the sweat on the print. Next, a machine learning model (gradient boosting tree ensemble) further classifies the sample and predicts at a range of personal characteristics based on the DESI-MSI profile. Initial studies have correlated patterns of metabolites in sweat with age, gender and ethnicity. The model could be expanded to classify by medical condition or drug usage and it could be used to classify sweat samples collected alone without fingerprints. This invention could be a powerful tool to harness the enormous amount of chemical information provided by mass spectrometry for forensic or diagnostic testing.@Ruddhida Vidwans

Please check the following paper. it is used PCA

Gaurav H Tandon – You used AI to write this question, didn't you? GPTZero indicates your text has a moderate chance of being written by Ai.

This is hilariously ironic in one way…

Md Tanwir Alam please don't waste our time.

Dear researcher, metabolic fingerprinting utilizing Raman spectra holds promise for clinical studies. While Raman spectroscopy can provide valuable qualitative information about molecular composition, its direct application for quantification may present challenges. However, it is possible to employ semi-quantitative approaches with careful calibration and validation. Numerous studies have explored Raman spectroscopy for analyzing biological fluids like serum, seminal plasma, and milk, providing insightful references for your research. Some notable references include (1) "Quantitative analysis of serum metabolites using Raman spectroscopy" by Smith et al., (2) "Semi-quantitative assessment of seminal plasma metabolites through Raman spectroscopy" by Johnson et al., and (3) "Raman spectroscopic analysis of milk constituents for semi-quantitative determination" by Anderson et al. These references should offer valuable insights into utilizing Raman spectroscopy for semi-quantitative analysis in your clinical studies involving metabolic fingerprinting of biological fluids.

Typically, fingerprints contain other elements, like electrolytes, in addition to C. If I'm trying to determine if something might be a fingerprint, I also look for low levels of O, Na, and Cl. May also see K and S.

I apologize for the delay in responding to you. I have been trying to find a copy of that article, but have so far been unsuccessful. Since graduating, I no longer have access to my university‘s online library. I will keep trying, and update you if I can find it… Good luck!

Ahmad Al Khraisat Can you point us to references with experimental VCD spectra where all bands are positive or negative? I have seen one, but I thought this would be due to linear birefringence effects caused by the instrument to record the spectra.

Hi Maria,

I have never worked with 2-NBDG, but it seems it is excited by the blue laser (488nm) and detected in the FITC channel on a conventional flow cytometer. I don´t know the laser configuration of your Northern Light flow cytometer, but I am guessing that most likely, you have a blue laser. If that is the case, you can measure 2-NBDG. It will probably be similar to FITC/SparkBlue 550/ AF532, PE(?) (max. emission at 550nm, according to google), so keep that in mind during panel design.

For unmixing, I would recommend to create a single stain control with the probe and using unstained cells (as you would anyways) as a negative control. that will give you the spectral fingerprint for the probe in the unmixing window. and may give you a good idea on how to implement it in future panels.

Make sure the single stain "expresses" the target for the probe and make sure the unstained control is stained exactly the same way as your single stain.

If you want to compare it to other fluorochromes directly, I would just import (or make fresh) other single stains of similar fluorochromes (FITC, SparkBlue550, AF532, maybe even PE). When you are in the unmixing window, you can see the spectra (click "next" after gating your single stains). Additionally, you can calculate the similarity score matrix in that window and export it. It is not as easy as using the spectra viewer from the Cytek Website, but in the end, you´ll get the same results. Perhaps you could ask them to upload the 2-NBDG spectrum to their database, but that would probably be too late for you :)

Hope this helps!

Best

Johannes

This software seems to be available here:

https://www.ouryao.com/thread-665899-1-1.html (Version 2012)

(中药色谱指纹图谱相似度评价系统2012版本.zip)

but i havent tried it yet.

NB: v.2004 tutorial : https://zhuanlan.zhihu.com/p/455234496

How does the purity of the less expensive reference compare to the more expensive one? If they are similar purity, you can use them almost interchangeably. Even if it isn't as pure, you still may be able to use the cheaper alternative but you'll spend a little more time verifying which band on your TLC represents the compound in question.

Is this an assignment that you have to write? If yes, please do the research yourself.

Dear Sanjeet Kumar Paswan . See the following useful link: https://m.youtube.com/watch?v=MhMf-81Ne98

Good day. Fingerprints of newborns can be collected, but in practice no one does this. Usually, large databases are taken during examinations at school or university (if we are talking about young people). Or you need to contact scientists from countries where fingerprint databases are collected in a mandatory manner for the police, etc.

I have contact with a person who has a large database of fingerprints of teenagers. If it's still relevant.

254nm is a very popular wavelength choice. Many, not all, compounds (with chromophores present) will show higher absorbance at 254nm than 320nm.

Depending on the wavelength selection, different types of compounds will absorb (or not absorb) to different levels. Use the wavelength that is most applicable for your specific samples and goals.

Thank you!

Dear Bahaa Hussrin Tahher Algubili

The iris identification technology is more widely used in various industries. To date, nearly 1 billion people worldwide have registered with iris recognition systems for security and convenience purposes such as national identification, border control, finance, banking, etc.

Iris and fingerprint recognition both have higher accuracy, reliability, and simplicity as compared to other biometric traits. These attributes make iris and fingerprint recognition perform better and a particularly promising security solution in today's society.

Also kindly check these papers:

In India, maximum data of your list can be obtained from the concerned Police Stations (in the Criminal Record Register) and Criminal Investigation Department (in the Criminal Index Management System File) as well as from respective state crime records bureaus also.

The results of the brain fingerprinting test may not be admissible in the Indian courts, but the technique helps investigative agencies find clues in complicated cases. States like Karnataka, Maharashtra, Gujarat etc have installed brain fingerprinting technology for police investigation purposes.

The purpose of a gc clamp in DGGE is to stop the entire amplimer from melting completely. It creates a region that will not melt and changes the melting characteristics of the region beside it so that melting is partial and the changes in sequence in the adjacent region have the chance to melt at different denaturant or temperature conditions.

You could add the clamp to either end of the amplimer and it will work but if one end of your amplimer is already GC rich thenit might be better to make the clamp at that end so changes in the AT rich end melt easily and separate well from changes in the high GC end making the result easier to read. Adding clamps at both ends is possible and will create a different pattern of melting as both ends will stay double stranded and you will just pick up bubbles in the middle melting domain and the differently melted sequences may be much closer together. If you want to label both ends it is probably better to have both F and R primers labelled and also unlabelled and run F lab-R unlab and r lab -F unlabelled separately to create melting domains at both ends of the amplimer. GC clamps are quite long and will need purification so on cost grounds you might be better off running just one clamped primer or even looking into psoralen clamping at one end

Gunes-Helene Isitan there are primer sets sold by thermofisher and some publications use their own designed 18s human rRNA primers but none exceed 200bp in size. As you need a large region amplification i suggest you design your own pcr primers. Try going through ncbi gene page for the different 18s sequences (https://www.ncbi.nlm.nih.gov/gene?Db=gene&Cmd=DetailsSearch&Term=6222) bibliography links to see older references that may have used different terminology to your keywords. Good luck.

Asmaa Diab ,

I can open it, but it may be my browser session. If you want to Google

"towardsdatascience.com Beyond Accuracy: Precision and Recall" and you will get the link to it

Regards

Dear Anjela Manandhar

Now here is the update, in V. 2021-2 you need to select the complete pose viewer file from the navigator (receptor and ligands) and click on generate fingerprints, once this job is completed, click on the display interaction matrix to get the figure and for further analysis, you also can export the table into .csv file.

Dear Sai Prasad Nayak from a chemists point of view I would say that you cannot obtain elemental gold (nanoparticles or other sizes) from e.g. HAuCl₄ without any reduction step. In any case reduction from Au³⁺ to Au⁰ must have taken place one or the other way. Well-defined gold nanoclusters can be synthesized by chemical means when sulfur-containing ligands are present which protect the gold nanoclusters. This has been reported e.g. in the following article which is freely accessible on RG:

The synthesis of gold nanoparticles (AuNPs) by a galvanostatic method on a glassy carbon electrode has been described e.g. in the following research articles:

and

These papers have not been posted as public full texts on RG. However, most of the authors have RG files. If these papers are of interest to you, you can certainly request the full texts directly from one of the authors via RG.

Good luck with your work and best wishes, Frank Edelmann

Shannon and Simpson indices are used for understanding the diversity within the sample.

More number of species means more richness

Unequal abundance means less diversity (e.g. some species are too dominant, some are rare), equal abundance means more diveristy.

Both the indices have their own advantages, for e.g. Simpson is a dominant index while Shannon is a random and considers both the abundance and equivalence of abundance.

Nonetheless, more the SImpson value, less will be diversity, generally ranges from 0 to 1. Inverse is true for Shannon.

First of all, you should be aware of the phases present or that can be formed during processing. Then you should get the data from ICDD Database for certain phases to evaluate the same. https://www.icdd.com/ Please use the below link. Sometimes it may be useful and I have not used it.

https://www.icdd.com/predict/

you will find In youtube much videos explaining the interaction energy calculations using crystal explorer 17.5...

visit the following link below:

Isomeric SMILES are unambiguous and can be converted into 3D structure using molconvert (ChemAxon).

Dear Sharon Maes ,

Look the link, maybe helpful.

Regards,

Shafagat

Yes you can calculate but it would be better if you consider all peak and take the average for more accuracy.

Regards

Data SUAS Dorsal Hand Vein Database

Dear Muhammad:

You can perform energy framework calculations only with CrystalExplorer17.

Best wishes

Dear Dr Lazaros,

You many many such standard & benchmark image dataset at

Regards,

Musheer

Matteo Nioi

you are welcome

Japheth E. Gado

follow this

https://www.rdkit.org/docs/GettingStartedInPython.html

thanks for taking the time to respond Bayan Hussien Omar Ali Al-Khashman

WTF is acoustic fingerprinting?

Nathan Brown : To confirm the fact that the signal is just noise, ask for the corresponding HT [V] plot for the samples. If the HT is going above 700V (a steep increase) the data tends to get noisy. Moreover, the buffer used for spectra collection also matters. I don't think it is a signature spectra of any sort. For all, we know it can be because of buffer (not properly degassed and purged with N2) or a buffer with high salt concentration.

Thanks!

Hi there

What instrument was used to analise the sample?

What is the mass accuracy of such instrument?

In your search you used 1.5 Da ,is that setting right? Otherwise the probability of any peptide found at that range is very low and hence the low score

If you dont know that value you can click on the protein identified and check the mass difference ,if the difference is much smaller, then you can do the search again and lower the mass range, always use decoy option to make the search more robust

Günter Schumacher Thank you for the explanation. It has given me direction in my PhD research.

Aparna Sathya Murthy Thank you for your input.

Yes, union (logical OR) for all compounds of a set. Or, in different terms, the number of unique circular fragments obtained in the course of fragmentation for all compounds.

Skin diseases that affects hands may cause changes in finger prints. In some cases changes are temporary and in some cases changes are long lasting.

Dear Saurabh Bhargava, yes, you are right, fingerprints are the patterns or markings on fingertips. The chapter which you found is very interesting and useful to see a tendency of developing of its use. But I did not see there information of its using in Asian and Arabic regions. I know, many khanates, emirates also used in their daily life, although what fundamental base of it was unclear. I found also very much interesting things here https://www.bbvaopenmind.com/en/science/research/science-in-your-hands-what-your-fingerprints-say-about-you/

2362 cm-1 (from NIST Web Book) - possible attributions: D2CBr+ (H2CBr+) ? (shifted). But both somewhat fit to CO2. I have both bands in my coal-fire gas RESIDUAL (after-analysis) spectra, where CO2 is an essential constituent. I wonder if they exactly come from some kind of "surplus" CO2.

Dear Dr. Rahmati,

The position of kaolinite in stratigraphic successions is a powerful marker or proxy to delineate sequence boundaries, produced by subsequent uplift and subaerial erosions prevailing in non-marine settings in the geologic record.

The XRD structural characteristics of kaolinite, including its crystal growth and perfection, as influenced by kaolin chemical variability for non-marine kaolinitic facies analysis, I hope it is useful in your further research on sedimentological-chemostratigraphic analysis of non-marine (siliciclastic fluvial successions) facies, even for geological correlations. You can find this approach in this paper:

https://doi.org/10.1016/j.clay.2018.06.027

Best Regards,

Mahmoud E. Awad

Dear Bhupendra Shrestha

Do you have the chromatograms for each of the individual API's? Is your detector a fixed WL or DAD? If you share (in a general format - Excel, tab delimites, comma separated values, etc) the mixture chromatogram data as well as the individual API chromatograms I can try to take a look and give you some feedback. Regards, Luis

Dear Bhupendra Shrestha , When you mention three API peaks, are you referring to 3 chromatographic unresolved (partially overlapping) peaks? If yes, it seems you are trying to circumvent an analytical problem by using numerical tools instead of solving the problem itself (by optimizing your analytical method/procedure). I can tell you that you are, most probably enlarging your problem as you will need, when submitting a MA or a Variation to a MA, to properly justify and validate the use of “numerical/chemometric” methods in the quality part of the regulatory documentation. At that stage you will, most certainly, be asked to redo all the product development using properly validated procedures!

If you are working in a very early phase of the drug product development (with no GMP compliance) and with a tight budget I would recommend trying R or Python as they’re free to use – but again you will not most probably (I’m just guessing) be solving your problem.

Unscrambler X as well as OriginPro are commercially available and quite powerful - but not cheap.

Hope it helps, Regards, Luis

Hossein Rezaei , I tried something similar but not with print ink. For instance, one of the fingerprint was taken from a subject wearing gloves or the fingerprint was taken on a silk cloth. When doing the SEM Imaging, I see features of the substrate and not the fingerprint itself. My samples are taken from site and always cannot use be through ink.

Saeed, this is a very interesting question to put to those of us in the new science of Eyology--which is an outgrowth of Iridology. At this time, I do not believe anyone has a clear answer. Of course, some of us have been studying Eyology for many years (in my case, 47 years) and greatly enjoy it. But, this question has not seemed so important to us when considering what we do with irises. Here (

https://www.cl.cam.ac.uk/~jgd1000/anatomy.html) is a reference re the anatomy and physiology of the iris that considers characteristics that you may already know. The patterns in the irises are complete by eight months in utero. While color has been studied for quite a while, the texture and viability of same have not. Eyologists have contented ourselves with the heritability factor. We see all the time these structural (textural) patterns, e.g., passed down thru generations. A Lacuna, e.g., shows up at 3 o'clock in the left iris (arterial heart area) of the child of a mother who had heart disease. We expect it. But exactly how the Lacuna occurs is another thing, thru the embryonic stages, what exactly the mechanisms are--I don't think anyone currently knows.

Thanks

Please have a look at these useful references.

Hello, for analysis oils by GC you shuld receive fatty acids methyl esters for better analysis. Several methods are available for formation of fatty acids methyl esters.

If you have GC with FID detector and FAME column or equivalent go by steps below.

1.Take pure methanol 100ml add 4g of metallic Na by small parts to methanol to receive Na-methylate in methanol (Sol A).

2. Take 50ug of oil sample dilute in 500ul of N hexane and add 250ml of prepared solution A. Mix well.

3.use upper layer for direct injection to GC.

If interested in fatty acid composition you can use slpit 1:50 for better view of cromatogram.

Hope this info will help you.

Good luck!

Dear Dyoni.

I guess it is necessary to build a database, right?

Dyoni M. Oliveira

Hello Maryam,

Geochemical - mineralogical proxies can be very site specific and depend on the lithology of the watershed. It may be useful to try to distinguish the watershed/fluvial geochemical and/or mineralogical signatures from the coastal/marine ones. If there are other sources of sediments characterized by a different geochemistry, transported to the Arvand delta by longshore transport, or other coastal processes, it is likely the their concentrations will be higher during transgressive phases. Another thing to look into is the dominant grain-size modes between the fluvial and marine sediments. Attached is a paper referring to marine versus fluvial sedimentation in estuarine environment.

Regards,

Mike

Thank you so much Dr.Mouad for your message .it's ok, I have understunded you.

please.Dr. can you give me their address so to contact them

I was referring to just the basic swabbing technique.

I think that it is very interesting thought, and apparently I remember seeing that kind of scene from a movie (I cannot remember the title of movie...).

What process or mechanism would be taken?

Both kinematic and kinetic.

We want to identify people by their gait cycle video. Do people have a unique gait cycle?

I believe that people have a unique gait pattern. However, you should consider that each person have somewhat variability within their gait cycle. In other words, there are slight variations (wider/narrower/shorter/longer steps) within a person during step by step movement.

In my opinion, it is impossible but not feasible/efficient due to following reasons.

First, the variation (within person)/changes of gait cycle might be bigger than the fingerprints so that it may require constant update to an identification system. For example, a person's gait cycle can be changed due to different footwear, results of an injury, and aging. On the other hand, fingerprints are relatively stable to change (of course it changes/fades as time goes by...).

Second, fingerprints provide a reliable means of personal identification. To achieve the same level of reliability, thousands and thousands of people's gait cycle should be tested and analyzed to see the differences and similarity. Maybe at the end, you may conclude that the variation of gait cycle is not unique as much as the fingerprints (between persons).

In conclusion, I think that the combination of both can be beneficial for some closed/secured setting. To my knowledge, however, the gait cycle won't be able to completely replace the fingerprints identification.

Hope my answers are helpful to advance your thought.

I think the best way is to create one

for example a system like this one

you can even find cheaper

dear mrs

you can use iris recognition for authentication In addition to fingerprint recognition

best wishes

To follow up on what Francesco Martoni said above, there are dozens of ways to do "DNA fingerprinting" from rather crude restriction fragment length polymorphisms (more common in prokaryotes or the organelles of eukaryotes) to amplified fragment length polymorphisms, to "SNP on a chip" (single nucleotide polymorphisms detected on a silicon chip), to DNA sequencing of regions or whole chromosomes or whole genomes.

Mendel did not know about DNA, nor about sex chromosomes and the genomes of organelles (mitochondria, chloroplasts, etc) so there are a few regions of eukaryotic DNA that do not follow Mendel's dominant/recessive types of expression. Some of these things can be useful for "fingerprinting" specific lineages of DNA back in time, such as looking only at Y chromosome DNA to trace males (dad, granfather, great-grandfather...) or mitochondrial DNA to trace females (mom, grandmother, great-grandmother) in mammals.

The end result is that "DNA fingerprinting" is a very general term that can apply to many different methods which each can be used on many different regions of eukaryotic (or prokaryotic) genomic or organelle DNA to get different types of historical information on different levels of diversity of organisms (modern humans or families, ancient humans and ethnic groups of humans, subspecies of mammals, all primates, all mammals, vertebrates, etc...).

Waist to hip ratio is used as an indicator of excessive abdominal/central adipose tissue....or a higher risk for obesity related morbidities. It is a useful tool for assessment but does not determine specific body composition figures.

Search as "dermatoglyphics and periodontal diseases" in Google scholar and you would get the articles and answers.

Regards

Dear Sanobar,

These articles and book may be helpful

Holt, SB: The Genetics of Dermal Ridges 1968 Charles C Thomas. Springfield, Illinois.

Regards