A review of fluorescence imaging system supported by excitation-emission matrix for fruit and vegetable quality estimation

IF 5.6 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Food Control Pub Date : 2024-11-19 DOI:10.1016/j.foodcont.2024.111040
Zichen Huang , Yoshito Saito , Tianqi Gao , Dimas Firmanda Al Riza , Renfu Lu , Haiyan Cen , Naoshi Kondo , Ken Abamba Omwange
{"title":"A review of fluorescence imaging system supported by excitation-emission matrix for fruit and vegetable quality estimation","authors":"Zichen Huang ,&nbsp;Yoshito Saito ,&nbsp;Tianqi Gao ,&nbsp;Dimas Firmanda Al Riza ,&nbsp;Renfu Lu ,&nbsp;Haiyan Cen ,&nbsp;Naoshi Kondo ,&nbsp;Ken Abamba Omwange","doi":"10.1016/j.foodcont.2024.111040","DOIUrl":null,"url":null,"abstract":"<div><div>A fluorescence imaging system (FIS) supported by the excitation-emission matrix (EEM), has emerged as a powerful tool for the non-destructive assessment of fruit and vegetable quality, offering low costs and good accuracy for various applications. EEM captures the fluorescence spectrum under specific excitation light and the corresponding emission fluorescence, which can be used for optimizing machine vision construction. The FIS-EEM system can explore and identify naturally occurring bioactive and phytonutrient components whose fluorescent characteristics can be used non-destructively to monitor changes in the quality and maturation of fruits and vegetables. This review provides an in-depth analysis of the principles and methodologies of FIS based on EEM. By offering a comprehensive overview, this paper serves as a valuable reference for designing FIS for assessing fruit and vegetable quality. It also directs challenges and perspectives toward developing high-performance fluorescence imaging systems for research and commercial applications.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"169 ","pages":"Article 111040"},"PeriodicalIF":5.6000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Control","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0956713524007576","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

A fluorescence imaging system (FIS) supported by the excitation-emission matrix (EEM), has emerged as a powerful tool for the non-destructive assessment of fruit and vegetable quality, offering low costs and good accuracy for various applications. EEM captures the fluorescence spectrum under specific excitation light and the corresponding emission fluorescence, which can be used for optimizing machine vision construction. The FIS-EEM system can explore and identify naturally occurring bioactive and phytonutrient components whose fluorescent characteristics can be used non-destructively to monitor changes in the quality and maturation of fruits and vegetables. This review provides an in-depth analysis of the principles and methodologies of FIS based on EEM. By offering a comprehensive overview, this paper serves as a valuable reference for designing FIS for assessing fruit and vegetable quality. It also directs challenges and perspectives toward developing high-performance fluorescence imaging systems for research and commercial applications.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于激发-发射矩阵的荧光成像系统在果蔬质量评估中的应用综述
由激发-发射矩阵(EEM)支持的荧光成像系统(FIS)已成为对水果和蔬菜质量进行非破坏性评估的有力工具,其成本低、精度高,适用于各种应用。EEM 可捕捉特定激发光下的荧光光谱和相应的发射荧光,可用于优化机器视觉结构。FIS-EEM 系统可以探索和识别天然存在的生物活性成分和植物营养素成分,其荧光特性可用于非破坏性地监测水果和蔬菜质量和成熟度的变化。本综述深入分析了基于 EEM 的 FIS 的原理和方法。通过提供一个全面的概述,本文为设计用于评估水果和蔬菜质量的 FIS 提供了宝贵的参考。它还为开发高性能荧光成像系统的研究和商业应用提出了挑战和展望。
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 去求助
来源期刊
Food Control
Food Control 工程技术-食品科技
CiteScore
12.20
自引率
6.70%
发文量
758
审稿时长
33 days
期刊介绍: Food Control is an international journal that provides essential information for those involved in food safety and process control. Food Control covers the below areas that relate to food process control or to food safety of human foods: • Microbial food safety and antimicrobial systems • Mycotoxins • Hazard analysis, HACCP and food safety objectives • Risk assessment, including microbial and chemical hazards • Quality assurance • Good manufacturing practices • Food process systems design and control • Food Packaging technology and materials in contact with foods • Rapid methods of analysis and detection, including sensor technology • Codes of practice, legislation and international harmonization • Consumer issues • Education, training and research needs. The scope of Food Control is comprehensive and includes original research papers, authoritative reviews, short communications, comment articles that report on new developments in food control, and position papers.
期刊最新文献
A portable strip sensing platform based on bimetal-organic framework nanozyme for freshness assessment of aquatic products Effect of 3D branched crystalline carbon nitride on nucleic acid amplification techniques in food samples Integrating computer vision and machine learning technologies for model building to quantify intermuscular fat content in salmonid fillets Chitosan/polyvinyl alcohol-based active film maintain the quality of farmed sea bass (Lateolabrax maculatus) during refrigerated storage: Inhibit lipid oxidation and maintain myofibrillar proteins conformation Study on stage quality discrimination during the rice mildew process based on multi-source flavor information fusion
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1