冷链物流过程中基于凝胶多糖的生鲜产品的智能质量控制:综述

IF 4.8 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY
Shize Lu , Min Zhang , Baoguo Xu , Zhimei Guo
{"title":"冷链物流过程中基于凝胶多糖的生鲜产品的智能质量控制:综述","authors":"Shize Lu ,&nbsp;Min Zhang ,&nbsp;Baoguo Xu ,&nbsp;Zhimei Guo","doi":"10.1016/j.fbio.2024.105081","DOIUrl":null,"url":null,"abstract":"<div><p>Gelatinous polysaccharide-based fresh products are influenced by environmental and temperature changes, and maintaining their quality and freshness has always been a challenge. Intelligent management and control of cold chain logistics systems have been extensively used in transporting and storing these goods to overcome the problem. This review introduces common quality deterioration issues, including those encountered during the transportation and storage of these products, such as softening, water loss, and color changes. The application of intelligent detection technologies, including gas detection, intelligent label, and spectral detection is reviewed to achieve real-time monitoring and evaluation of product status. This article also introduces the Internet of Things, wireless sensor networks, and radio frequency identification for product data transmission. It utilizes artificial neural networks and digital twins to build quality models, achieving better management of gelatinous polysaccharide-based fresh products in the cold chain. Moreover, some preservation techniques are used to increase the longevity of these products in storage and reduce losses in the cold chain. These techniques include irradiation, chemical treatment, and coating preservation. This review will, hopefully, encourage additional work that may help reach the goal of having better intelligent quality control of gelatinous polysaccharide-based fresh products during cold chain logistics.</p></div>","PeriodicalId":12409,"journal":{"name":"Food Bioscience","volume":"62 ","pages":"Article 105081"},"PeriodicalIF":4.8000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent quality control of gelatinous polysaccharide-based fresh products during cold chain logistics: A review\",\"authors\":\"Shize Lu ,&nbsp;Min Zhang ,&nbsp;Baoguo Xu ,&nbsp;Zhimei Guo\",\"doi\":\"10.1016/j.fbio.2024.105081\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Gelatinous polysaccharide-based fresh products are influenced by environmental and temperature changes, and maintaining their quality and freshness has always been a challenge. Intelligent management and control of cold chain logistics systems have been extensively used in transporting and storing these goods to overcome the problem. This review introduces common quality deterioration issues, including those encountered during the transportation and storage of these products, such as softening, water loss, and color changes. The application of intelligent detection technologies, including gas detection, intelligent label, and spectral detection is reviewed to achieve real-time monitoring and evaluation of product status. This article also introduces the Internet of Things, wireless sensor networks, and radio frequency identification for product data transmission. It utilizes artificial neural networks and digital twins to build quality models, achieving better management of gelatinous polysaccharide-based fresh products in the cold chain. Moreover, some preservation techniques are used to increase the longevity of these products in storage and reduce losses in the cold chain. These techniques include irradiation, chemical treatment, and coating preservation. This review will, hopefully, encourage additional work that may help reach the goal of having better intelligent quality control of gelatinous polysaccharide-based fresh products during cold chain logistics.</p></div>\",\"PeriodicalId\":12409,\"journal\":{\"name\":\"Food Bioscience\",\"volume\":\"62 \",\"pages\":\"Article 105081\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Food Bioscience\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2212429224015116\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Bioscience","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212429224015116","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

摘要

胶状多糖类生鲜产品受环境和温度变化的影响较大,如何保持其质量和新鲜度一直是个难题。为解决这一问题,冷链物流系统的智能管理和控制已被广泛应用于这些产品的运输和储存。本综述介绍了常见的质量劣变问题,包括这些产品在运输和储存过程中遇到的问题,如软化、失水和颜色变化。文章介绍了智能检测技术的应用,包括气体检测、智能标签和光谱检测,以实现对产品状态的实时监控和评估。本文还介绍了用于产品数据传输的物联网、无线传感器网络和射频识别技术。利用人工神经网络和数字孪生建立质量模型,更好地管理冷链中的胶状多糖类生鲜产品。此外,还采用了一些保鲜技术来延长这些产品的储存寿命,减少冷链中的损耗。这些技术包括辐照、化学处理和涂层保鲜。希望这篇综述能鼓励更多的工作,以帮助实现在冷链物流过程中更好地对基于凝胶多糖的生鲜产品进行智能质量控制的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent quality control of gelatinous polysaccharide-based fresh products during cold chain logistics: A review

Gelatinous polysaccharide-based fresh products are influenced by environmental and temperature changes, and maintaining their quality and freshness has always been a challenge. Intelligent management and control of cold chain logistics systems have been extensively used in transporting and storing these goods to overcome the problem. This review introduces common quality deterioration issues, including those encountered during the transportation and storage of these products, such as softening, water loss, and color changes. The application of intelligent detection technologies, including gas detection, intelligent label, and spectral detection is reviewed to achieve real-time monitoring and evaluation of product status. This article also introduces the Internet of Things, wireless sensor networks, and radio frequency identification for product data transmission. It utilizes artificial neural networks and digital twins to build quality models, achieving better management of gelatinous polysaccharide-based fresh products in the cold chain. Moreover, some preservation techniques are used to increase the longevity of these products in storage and reduce losses in the cold chain. These techniques include irradiation, chemical treatment, and coating preservation. This review will, hopefully, encourage additional work that may help reach the goal of having better intelligent quality control of gelatinous polysaccharide-based fresh products during cold chain logistics.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Food Bioscience
Food Bioscience Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
6.40
自引率
5.80%
发文量
671
审稿时长
27 days
期刊介绍: Food Bioscience is a peer-reviewed journal that aims to provide a forum for recent developments in the field of bio-related food research. The journal focuses on both fundamental and applied research worldwide, with special attention to ethnic and cultural aspects of food bioresearch.
×
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