Authenticity Identification and Quantitative Analysis of <i>Dendrobium officinale</i> Based on Near-Infrared Spectroscopy Combined with Chemometrics.

ABSTRACT: Dendrobium officinale is a valuable medicinal and edible homologous health food. It has immunomodulatory, antioxidant, and metabolism-regulating properties. However, its adulteration is widespread, seriously compromising product quality and safety. Traditional adulteration detection methods are complex, costly, and time-consuming, making it urgent to establish a rapid and non-destructive detection approach. This study developed a rapid identification and quantification method for adulterated D. officinale. The method combined near-infrared (NIR) spectroscopy with data-driven soft independent modeling of class analogy (DD-SIMCA) and partial least squares regression (PLSR) models. PCA, PLS-DA, and OPLS-DA were first used to visualize sample clustering and group differences. DT, SVM, A

SUBMITTER: Fan ZL 

PROVIDER: S-EPMC12785345 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature