文献类型：期刊文献

英文题名：Comprehensive origin authentication of wolfberry pulp (Lycium barbarum L.) using multimodal sensory analysis and chemometrics

作者：Peng, Qi[1]; Huang, Jiaxin[1]; Li, Shanshan[1]; Massou, Beatrice Bassilekin[1]; Chen, Zeyu[1]; Zhu, Qing[1]; Xie, Guangfa[2]

机构：[1] School of Life Sciences, Shaoxing University, Shaoxing, 312000, China; [2] Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, College of Biology and Environmental Engineering, Zhejiang Shuren University, Hangzhou, 310015, China

年份：2024

卷号：219

外文期刊名：Industrial Crops and Products

收录：EI(收录号：20242816671544)、Scopus(收录号：2-s2.0-85197495719)

语种：英文

外文关键词：Authentication - Electronic nose - Electronic tongues - Extraction - Forestry - Mass spectrometry - Multivariant analysis - Principal component analysis - Sensory analysis - Support vector machines - Volatile organic compounds

外文摘要：Wolfberry, a valuable commodity straddling the realms of medicine and nutrition, faces increasing scrutiny regarding its provenance authenticity. In this investigation, electronic nose, electronic tongue, headspace solid phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS), and solid phase microextraction-gas chromatography-ion mobility spectrometry (SPME-GC-IMS) were employed for a thorough analysis of wolfberry pulp samples sourced from Ningxia (NX), Qinghai (QH), Gansu (GS), and Xinjiang (XJ). The results of the study showed that wolfberry samples from four regions could be effectively distinguished by combining intelligent sensory techniques with principal component analysis (PCA). In addition, smart sensory technology, combined with support vector machines (SVM) and random forest (RF) classifiers, can accurately distinguish samples from different regions (accuracy = 100 %). HS-SPME-GC-MS and SPME-GC-IMS identified 180 and 73 volatile organic compounds (VOCs), respectively. Through a combination of multivariate analysis (VIP > 1.2) and univariate analysis (P ? 2024 Elsevier B.V.