An environment-friendly strategy for direct characterization of polysaccharides in Auricularia auricula-judae by...

The traditional polysaccharide component analysis often depends on utilization of chemical reagents, which pose potential threats to human health and environmental safety. The quantification analysis of Auricularia auricula-judae polysaccharides (AAPs) faces prominent challenges, e.g., operational complexity, high costs, and destructive samples, which make it difficult to meet the demands of high-throughput and green analysis. Up to now, there is unavailable of a green method for direct quantification of AAPs. Herein, this study firstly utilized Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) spectra integrated with chemometrics to simultaneously quantify O-acetyl, proteins, total polysaccharides, and uronic acids in AAPs. Specifically, these models were built using 84 samples and validated with 28 samples. The optimal preprocessing methods, i.e., SG9 + SD, SG11 + FD + SNV, SG9 + FD, and SG9 + FD + SNV, were applied to determine the four parameters via ATR-FTIR with partial least squares (PLS) regression models. The optimal models were confirmed to have strong predictive capabilities (R² > 0.9000, RPD > 3) and without overfitting (RMSEP/RMSEC <3). Furthermore, the predicted and the actual values of four models exhibited high linear relationship in external validation (Rp²_ext > 0.9000, and RPD_ext > 2.8). This study develops a non-destructive quantification strategy for AAPs, offering an environment-friendly analytical paradigm for polysaccharide research.