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

AI Article Synopsis

  • * Researchers identified 68 amino acids using liquid chromatography mass spectrometry (LC-MS) and pinpointed 16 important marker components, applying advanced spectroscopic methods for analysis.
  • * Techniques like FT-NIR and ATR-FTIR spectroscopy, combined with chemometrics, achieved 100% accuracy in identifying boletes species and estimating their amino acid content, suggesting new ways to ensure species authenticity and quality.

Article Abstract

The taste and aroma of edible mushrooms, which is a criterion of judgment for consumer purchases, are influenced by amino acids and their metabolites. Sixty-eight amino acids and their metabolites were identified using liquid chromatography mass spectrometry (LC-MS), and 16 critical marker components were screened. The chemical composition of different species of boletes was characterized by two-dimensional correlation spectroscopy (2DCOS) to determine the sequence of molecular vibrations or group changes. Identification of boletes species based on partial least squares discrimination (PLS-DA) combined with Fourier transform near-infrared spectroscopy (FT-NIR) and Fourier transform infrared spectroscopy (ATR-FTIR), residual convolutional neural network (ResNet) combined with three-dimensional correlation spectroscopy (3DCOS) was performed with 100% accuracy. Partial least squares regression (PLSR) analysis showed that FT-NIR and ATR-FTIR spectra were highly correlated with the amino acids and their metabolites detected by LC-MS. All models had achieved an Rp of 0.911 and an RPD >3.0. The results show that FT-NIR and ATR-FTIR spectroscopy in combination with chemometrics methods can be used for rapid species identification and estimation of amino acids and their metabolites content in boletes. This study provides new techniques and ideas for the authenticity of species information and the quality assessment of boletes.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11304868PMC
http://dx.doi.org/10.1016/j.fochx.2024.101661DOI Listing

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