Application of ATR-FTIR and FT-NIR spectroscopy coupled with chemometrics for species identification and quality prediction of boletes

Author: mycolabadmin
7/15/2024
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Summary

Researchers developed a fast and non-destructive method to identify different types of edible boletes and assess their nutritional quality by analyzing their amino acid content. Using special spectroscopy techniques combined with computer analysis, they achieved perfect accuracy in identifying five bolete species and could predict the amino acid content that contributes to flavor and nutrition. This breakthrough provides consumers with better protection against accidentally purchasing toxic mushroom species that look similar to edible ones, while helping food producers quickly assess quality without lengthy lab testing.

Background

Boletes are wild edible mushrooms rich in amino acids and their metabolites that contribute to taste and aroma, making them valuable food resources. However, their interspecies morphological similarity is high, and poisoning incidents from mixing poisonous and edible mushrooms have occasionally occurred. Current chemical analysis methods are time-consuming, labor-intensive, and potentially harmful to human health and the environment.

Objective

To demonstrate the feasibility of ATR-FTIR and FT-NIR spectroscopy combined with chemometrics for rapid species identification of boletes and prediction of amino acid content for quality assessment. The study aimed to characterize chemical composition differences between bolete species using 2DCOS and develop predictive models using PLS-DA, ResNet, and PLSR analysis.

Results

LC-MS analysis identified 16 critical amino acid metabolite markers for quality prediction. PLS-DA and ResNet models achieved 100% accuracy for species identification using both FT-NIR and ATR-FTIR spectra. PLSR models showed high correlation between spectral data and LC-MS results with all models achieving R²p ≥0.911 and RPD >3.0, indicating excellent prediction performance.

Conclusion

FT-NIR and ATR-FTIR spectroscopy combined with chemometrics methods provide a rapid, non-destructive technique for species identification and quality assessment of boletes based on amino acid content. This approach offers a practical alternative to traditional time-consuming chemical analysis methods and can be used for authenticity verification and market quality control of edible mushrooms.

Published in:Food Chemistry X,
Study Type:Analytical Study,
Source: PMID: 39113735, DOI: 10.1016/j.fochx.2024.101661