The method based on ATR-FTIR spectroscopy combined with feature variable selection for the boletus species and origins identification

IF 3.5 2区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Zhiyi Ji, Honggao Liu, Jieqing Li, Yuanzhong Wang
{"title":"The method based on ATR-FTIR spectroscopy combined with feature variable selection for the boletus species and origins identification","authors":"Zhiyi Ji,&nbsp;Honggao Liu,&nbsp;Jieqing Li,&nbsp;Yuanzhong Wang","doi":"10.1002/fsn3.4369","DOIUrl":null,"url":null,"abstract":"<p>Wild boletus mushrooms, which are macrofungi of the phylum Basidiomycetes, are a nutritious and unique natural food that is widely enjoyed. Since boletus are consumed with problems of indistinguishable toxic and non-toxic species and heavy metal enrichment, their species identification and traceability are crucial in ensuring quality and safety of consumption. In this study, the attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy technique combined with three feature variable extraction methods, manual selection method, semi-manual selection method, and algorithm method, were used to improve the accuracy and computational speed of the model identification, and the models were established for the identification of boletus species with an accuracy of up to 100% as well as for the identification of boletus origin with an accuracy of 86.36%. It was found that the best methods to improve the accuracy of the models were semi-manual selection, manual selection and algorithmic selection in that order. This study can provide rapid and accurate species identification and origin traceability of wild boletus, and provide theoretical basis for the rational use of feature variable selection methods.</p>","PeriodicalId":12418,"journal":{"name":"Food Science & Nutrition","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fsn3.4369","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Science & Nutrition","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/fsn3.4369","RegionNum":2,"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

Wild boletus mushrooms, which are macrofungi of the phylum Basidiomycetes, are a nutritious and unique natural food that is widely enjoyed. Since boletus are consumed with problems of indistinguishable toxic and non-toxic species and heavy metal enrichment, their species identification and traceability are crucial in ensuring quality and safety of consumption. In this study, the attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy technique combined with three feature variable extraction methods, manual selection method, semi-manual selection method, and algorithm method, were used to improve the accuracy and computational speed of the model identification, and the models were established for the identification of boletus species with an accuracy of up to 100% as well as for the identification of boletus origin with an accuracy of 86.36%. It was found that the best methods to improve the accuracy of the models were semi-manual selection, manual selection and algorithmic selection in that order. This study can provide rapid and accurate species identification and origin traceability of wild boletus, and provide theoretical basis for the rational use of feature variable selection methods.

Abstract Image

基于 ATR-FTIR 光谱结合特征变量选择的牛肝菌物种和产地鉴定方法
野生牛肝菌属于担子菌门的大型真菌,是一种营养丰富的独特天然食品,深受人们喜爱。由于牛肝菌在食用过程中存在有毒和无毒菌种不分、重金属富集等问题,因此其菌种鉴定和溯源是确保食用质量和安全的关键。本研究采用衰减全反射傅立叶变换红外光谱(ATR-FTIR)技术,结合人工选择法、半人工选择法和算法法三种特征变量提取方法,提高了模型识别的准确性和计算速度,建立的牛肝菌品种识别模型准确率高达 100%,牛肝菌产地识别模型准确率高达 86.36%。研究发现,提高模型准确性的最佳方法依次为半人工选择、人工选择和算法选择。本研究可为野生牛肝菌提供快速准确的物种鉴定和产地溯源,并为合理使用特征变量选择方法提供理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Food Science & Nutrition
Food Science & Nutrition Agricultural and Biological Sciences-Food Science
CiteScore
7.40
自引率
5.10%
发文量
434
审稿时长
24 weeks
期刊介绍: Food Science & Nutrition is the peer-reviewed journal for rapid dissemination of research in all areas of food science and nutrition. The Journal will consider submissions of quality papers describing the results of fundamental and applied research related to all aspects of human food and nutrition, as well as interdisciplinary research that spans these two fields.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信