Quantitive evaluation of composition and biomolecular mapping of macrofungi spores by Raman spectroscopy

TL;DR

This study develops ratiometric equations for quantitative analysis of biomolecules in macrofungi spores using Raman spectroscopy, enabling detailed chemical characterization and potential applications in food diagnostics.

Contribution

It introduces novel ratiometric equations for in vivo quantitative analysis of biomolecules in macrofungi spores via Raman spectroscopy, advancing chemical mapping techniques.

Findings

Quantitative estimation of lipids, proteins, and polysaccharides in spores.

Determination of lipid unsaturation and chain length from spectra.

Application to over 70 macrofungi species for detailed chemical profiling.

Abstract

Raman spectroscopy is widely applied to detect different chemical compounds in organic matter and create label-free high-resolution maps on the level of separate cells. The main advantage of this technique is the possibility to study objects in vivo without special pretreatment. However, it is rarely used to determine ratios between different substances or to perform deep quantitative analysis of the obtained spectra. In our study, we derive ratiometric equations that allow estimating the mass concentrations of triacylglycerols, proteins, sugars, polysaccharides, and DNA. We show that it is possible to determine average unsaturation and chain length from the spectra of lipids and concentrations of phenylalanine, tyrosine, and tryptophan from the spectra of proteins. We apply the derived equations to the Raman spectra of fungal spores of over 70 different species of macrofungi. We provide detailed characterization of lipids, proteins, and polysaccharides, which are contained in the spores. We believe that our study not only provides new fundamental knowledge in the field of mycology but also can become a basis for spectral quantification of any organic material, and our approach can be applied, for instance, to food diagnostics.