Mrs/Miss Mishra,

The method of choice is mass spectrometry as you well-know.

However, the quantification should be carried out within the framework of our own-authored (to me and my co-author's theory according to the authorship shown below) innovative stochastic dynamic concept and model formulas for quantification of the measurable variable 'intensity', which we have developed and published more recently. Only this approach, currently, worldwide provides exact quantification of analytes at very low concentration, thus exploiting the superior method performances. All other available theories, including those used to the current Directives for quantification by mass spectrometry operate at lower capability of the method (at about 98 %.) (Please, see more detail on the introductory section of refernce [2].)

Our method has been tested, so far, of analytes in mixture at pg.(mL)-1 concentrations, showing correlation between theory and experiment /r/ = 0.99997-1.

Please, consider references [1,2], in this context.

[1] Stochastic Dynamic Mass Spectrometric Approach to Quantify Reserpine in Solution; Bojidarka Ivanova, Michael Spiteller Analytical Chemistry Letters, 10 (2020) 703-721; Received 13 Oct 2020, Accepted 16 Dec 2020, Published online: 28 Jan 2021 Download citation https://doi.org/10.1080/22297928.2020.1865834

[2] Steroids, 164 (2020) 108750 Stochastic dynamic mass spectrometric quantification of steroids in mixture — Part II; Bojidarka Ivanova, Michael Spiteller

In particular, our theopry has been tested on mixtures of carbohydrates in reference [3], showing reproducibility of the quantitative outcomes /r/ = 1 in chemometric terms within replicates of 6 samples; or, our resuilts are 100 % reproducible.

[3] Bioorganic Chemistry, 93 (2019) 103308

A mass spectrometric stochastic dynamic diffusion approach to selective quantitative and 3D structural analyses of native cyclodextrins by electrospray ionization and atmospheric pressure chemical ionization methods; Bojidarka Ivanova, Michael Spiteller

The method is valiudated using chromatography, as well.

The calculation steps according to our theory and formulas are detailed in reference [3].

Also, our theory has predictive capability, as well. In other words, via its application there can be determined uknown analytes only looking at its mass spectrum.

Our method has been tested successfully on different ionization methods, as well. It is applicable to both solid-state (MALDI) and solution (other MS methods) condensed phases.

If you have any questions, regarding, both theoretical background and application of our theory to quantify analytes, please, do not hesitate to ask them, herein. They shall be addressed, accordingly.

Dear Sarita Mishra many thanks for your interesting technical question. As an inorganic chemist I'm far from being an expert in this field. Thus all I can do right now is suggest to you some potentially useful references which might help you in your analysis. For the extraction procedure please have a look at the following articles:

1. C. elegans as Model for the Study of High Glucose– Mediated Life Span Reduction

Article Quantification by LC-MS/MS of individual sugars in fruit jui...

2. Caenorhabditis elegans respond to high-glucose diets through a network of stress-responsive transcription factors

Article Caenorhabditis elegans respond to high-glucose diets through...

For the quantification via LC-MS/MS please see the following relevant research article:

Quantification by LC-MS/MS of individual sugars in fruit juice consumed in Portugal

Article Quantification by LC-MS/MS of individual sugars in fruit jui...

All three articles are freely available as public full texts on ResearchGate. I hope this helps.

P.S. Beware of researchers who just praise their own work without really answering your question. 😎

Mr. Edelmann,

Is it typical for you to make notes about personality of strangers? Perhaps, in a real situation they are not even just notes?. Do you apply such approach to your colleagues?

(You do not have to answer, mandatory, to the questions above.)

Your prersonal ignorance of a research issue does not represent problem for the researchers, worldwide.