{"title":"Differentiation of Gelsemium elegans-Containing Toxic Honeys and Non-Toxic Honeys by Near Infrared Spectroscopy Combined with Aquaphotomics","authors":"Wenchang Huang, Lingli Liu, Yuancui Su, Chuanmei Yang, Chengsen Tan, Yuanpeng Li, Shan Tu, Siqi Zhu, Yongmei Wang, Lihu Wang, Junhui Hu, Yuxiang Mo, Hongxia Zhao, Furong Huang","doi":"10.1007/s12161-023-02525-1","DOIUrl":null,"url":null,"abstract":"<div><p>This work proposes a fast and accurate method based on near-infrared (NIR) spectroscopy with partial least-squares discriminant analysis (PLS-DA) and aquaphotomics to identify toxic honeys. PLS-DA was used to construct an optimal model for distinguishing toxic honey from a non-toxic honey. The models based on preprocessed NIR spectra have an accuracy of 92.73% and were more accurate than the model based on raw NIR spectra. Based on the aquaphotomics analysis of the first overtone of water (1300–1600 nm), we found that the 1398 nm, 1440 nm, and 1472 nm bands can be used as markers to distinguish toxic honeys. Compared to non-toxic honeys, <i>gelsemium elegans -</i>containing toxic honeys have a significantly smaller number of water molecules with multiple hydrogen bonds, due to the hydrogen bonding of the C–O–C, C = O, and NH<sub>2</sub> groups of gelsemine and koumine. These groups replace hydrogen bonds between glucose/polysaccharide molecules and water.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"16 11-12","pages":"1607 - 1617"},"PeriodicalIF":2.6000,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Analytical Methods","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s12161-023-02525-1","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This work proposes a fast and accurate method based on near-infrared (NIR) spectroscopy with partial least-squares discriminant analysis (PLS-DA) and aquaphotomics to identify toxic honeys. PLS-DA was used to construct an optimal model for distinguishing toxic honey from a non-toxic honey. The models based on preprocessed NIR spectra have an accuracy of 92.73% and were more accurate than the model based on raw NIR spectra. Based on the aquaphotomics analysis of the first overtone of water (1300–1600 nm), we found that the 1398 nm, 1440 nm, and 1472 nm bands can be used as markers to distinguish toxic honeys. Compared to non-toxic honeys, gelsemium elegans -containing toxic honeys have a significantly smaller number of water molecules with multiple hydrogen bonds, due to the hydrogen bonding of the C–O–C, C = O, and NH2 groups of gelsemine and koumine. These groups replace hydrogen bonds between glucose/polysaccharide molecules and water.
期刊介绍:
Food Analytical Methods publishes original articles, review articles, and notes on novel and/or state-of-the-art analytical methods or issues to be solved, as well as significant improvements or interesting applications to existing methods. These include analytical technology and methodology for food microbial contaminants, food chemistry and toxicology, food quality, food authenticity and food traceability. The journal covers fundamental and specific aspects of the development, optimization, and practical implementation in routine laboratories, and validation of food analytical methods for the monitoring of food safety and quality.