I have three dataset of quantitative and qualitative liquid chromatography, GC-MS and DNA barcoding of few samples.
What would be the best way to discriminate and visualize the data?
Hi,
A cladogram will be OK for your DNA barcoding data. It will discriminate your samples, if your barcoding region allows.
Mrs/Miss Sohanian,
There is exact and absolute method for quantitative, qualitative and structural deterination of analytes in solution despite their molecular weights. Consider the following work. It is the most recent development of the quantitative mass spectrometry:
1. Steroids, 164 (2020) 108750
Stochastic dynamic mass spectrometric quantification of steroids in mixture — Part II
Bojidarka Ivanova, Michael Spiteller
https://doi.org/10.1016/j.steroids.2020.108750
Hi Kosar Sohanian , the following recent papers might be of interest to you to represent data:
1. The effects of geographical origin and virus infection on the saffron (Crocus sativus L.) quality. Article The effects of geographical origin and virus infection on th...
2. Impact of two different dehydration methods on saffron quality, concerning the prevalence of Saffron latent virus (SaLV) in Iran. https://doi.org/10.1016/j.foodchem.2020.127786
Principal Component Analysis (PCA) is normally able to gather similar data and discriminate between different sets. We successfully did it with coffee aroma analysis using GC-MS.
dear Bojidarka B. Ivanova
very interesting
I'll definitely study all them.
appreciate you.
Hi Ademario Junior
well, that's interesting.
is this paper published?
I'm interested in reading it.
Not published yet. Only in master dissertations and PhD thesis in development I advised.
- Badges
- Science method