Detection Strategies for Volatile Fragrance Released from Agricultural Products: Progress and Prospects

Author:

Wang Mengqing1,Zhou Yong1ORCID,Li Xian2

Affiliation:

1. Key Laboratory of Optoelectronic Technology and System of Ministry of Education College of Optoelectronic Engineering Chongqing University Chongqing 400044 P. R. China

2. Agricultural Information Institute Chinese Academy of Agricultural Sciences Beijing 100081 P. R. China

Abstract

AbstractThe volatile aroma released from agricultural products is closely related to the health status and quality of their growth, thus endowing the related detection with great significance. For example, the dynamic variation of the volatile chemical composition of a banana during the growth process can reflect its ripeness. Also important for quality monitoring and storage is to precisely and swiftly identify volatile compounds produced by mildew in rice and wheat. In this endeavor, the current detection technologies such as gas chromatography‐mass spectrometry method (GC‐MS)  cannot meet the pressing needs of smart agriculture in terms of real‐time monitoring, cost‐effectiveness, sensitivity, and detection speed, thereby necessitating alternative strategies to simultaneously satisfy these requirements. Aiming to provide an overall development trend in this field, this paper summarizes the existing detection technologies including GC‐MS, E‐nose, and sensory analysis with their respective shortcomings and challenges, and then proposes the application prospects. This work can effectively enrich the reliable monitoring methods for volatile agricultural fragrance while promoting the long‐run development of smart agriculture.

Publisher

Wiley

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3