Choi Ji-Young, Kim Minhyun, Park Sanghyeok, Cho Jeong-Seok, Lim Jeong Ho, Moon Kwang-Deog
Food Safety and Distribution Research Group, Korea Food Research Institute, 245 Nongsaengmyeong-Ro, Wanju-gun, 55365 South Korea.
School of Food Science & Biotechnology, Kyungpook National University, 80 Daehak-Ro, Daegu, 41566 South Korea.
Food Sci Biotechnol. 2023 Nov 17;33(4):805-815. doi: 10.1007/s10068-023-01423-w. eCollection 2024 Mar.
powder adulterated with other root plants (arrowroot, bellflower, and lance asiabell) was discriminated using Fourier transform infrared (FT-IR) spectroscopy, combined with multivariate analysis. Principal component analysis visually diagnosed the adulteration by showing two distinct clusters based on presence of adulteration. Wavenumber regions (1000 cm and 3300 cm) selected from the loading plot associated with the vibration of OH and CH bond in ginsenoside and aromatic compounds. A quantitative model for the content of ginsenosides and specific aromatic compounds as indicators of pure ginseng powder, was developed based on partial least square regression analysis. The performance of the prediction model preprocessed with the Savizky-Golay 1st derivative was improved to R of 0.9650, 0.9635, and 0.9591 for Rb1, Rc, and β-Panasinsene, respectively. Therefore, FT-IR technology makes it possible to rapidly authenticate pure ginseng product based on the ginsenoside contents and aroma compound.
采用傅里叶变换红外(FT - IR)光谱结合多元分析,对掺有其他根茎植物(竹芋、桔梗和党参)的人参粉末进行鉴别。主成分分析通过根据掺假情况显示两个不同的聚类,直观地诊断出掺假情况。从与人参皂苷和芳香化合物中OH和CH键振动相关的载荷图中选择波数区域(1000 cm和3300 cm)。基于偏最小二乘回归分析,建立了以人参皂苷和特定芳香化合物含量为纯人参粉末指标的定量模型。经Savizky - Golay一阶导数预处理后的预测模型性能得到改善,Rb1、Rc和β - 人参烯的R分别提高到0.9650、0.9635和0.9591。因此,FT - IR技术能够基于人参皂苷含量和香气化合物快速鉴定纯人参产品。