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]Shaoxing Univ, Sch Life Sci, Shaoxing 312000, Peoples R China;[2]Zhejiang Shuren Univ, Coll Biol & Environm Engn, Key Lab Pollut Exposure & Hlth Intervent Zhejiang, Hangzhou 310015, Peoples R China

年份：2024

卷号：219

外文期刊名：INDUSTRIAL CROPS AND PRODUCTS

收录：SCI-EXPANDED(收录号：WOS:001266724100001)、、WOS

基金：This work was supported by the Zhejiang Shaoxing Huangjiu Industry Innovation Service Complex-Technological Innovation Project in Zhejiang Province (No.2023KJ082) ; Foundation of Public Projects of Zhejiang Province, China (No. LGN22C200008) ; Program Foundation of Public Projects of Shaoxing city, Zhejiang Province, China (No.2018C30010) ; Foundation of Public Projects of Zhejiang Province, China (No.2017C32101) ; Shaoxing University Fund (No.08021066) , Shaoxing University Fund (No.08220102213) .

语种：英文

外文关键词：Origin identification; Wolfberry pulp; Chemometrics; HS-SPME-GC-MS; SPME-GC-IMS

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 < 0.05), eight VOCs, including Nonadecane and alpha-Terpinolene, emerged as pivotal variables for distinguishing wolfberry pulp based on geographical origin. Overall, this study furnishes robust theoretical underpinnings for addressing concerns regarding the provenance authenticity of wolfberry pulp.