Profiling of carbonyl compounds in fresh cabbage with chemometric analysis for the development of freshness assessment method

IF 1.8 Q2 AGRICULTURE, MULTIDISCIPLINARY
D. Syukri, Rini, A. B. Juanssilfero, K. Nakano
{"title":"Profiling of carbonyl compounds in fresh cabbage with chemometric analysis for the development of freshness assessment method","authors":"D. Syukri, Rini, A. B. Juanssilfero, K. Nakano","doi":"10.1515/opag-2022-0171","DOIUrl":null,"url":null,"abstract":"Abstract The aim of this study was to screen the distribution of carbonyl compounds (CCs) in fresh cabbage as a sample model of multi-layered leafy vegetables for discovering the universal freshness marker of fresh produces. The distribution of CCs was observed in the three outer leaf layers of the cabbage. The profile of CCs in each leaf will guide the selection of which leaf is the appropriate part to be used to further discover a freshness marker of cabbage during storage treatment at the postharvest stage. The carbonyl compounds in each leaf were extracted using a mixture of chloroform and methanol (2:1). The extracted CCs from samples were derivatized with dansyl hydrazine. A high-performance liquid chromatography-mass spectrometer with multiplexed multiple reactions monitoring (MRM) was used for the comprehensive detection of carbonyl compounds. More than 400 peaks were observed in the MRM chromatogram from all leaves. The distribution of m/z values that represent CCs were analyzed employing the principle component analysis-discriminant analysis by relating it to the leaf position. The distribution of CC was different for each leaf where the leaves of the second and third layers were similar and significantly different from the leaves of the first layer. The accumulation of trans-2-hexenal was dominant in the first layer; therefore, the utilization of the first layer is not suitable as the part of the sample to discover the freshness marker of multi-layered leafy vegetables.","PeriodicalId":45740,"journal":{"name":"Open Agriculture","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Agriculture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/opag-2022-0171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract The aim of this study was to screen the distribution of carbonyl compounds (CCs) in fresh cabbage as a sample model of multi-layered leafy vegetables for discovering the universal freshness marker of fresh produces. The distribution of CCs was observed in the three outer leaf layers of the cabbage. The profile of CCs in each leaf will guide the selection of which leaf is the appropriate part to be used to further discover a freshness marker of cabbage during storage treatment at the postharvest stage. The carbonyl compounds in each leaf were extracted using a mixture of chloroform and methanol (2:1). The extracted CCs from samples were derivatized with dansyl hydrazine. A high-performance liquid chromatography-mass spectrometer with multiplexed multiple reactions monitoring (MRM) was used for the comprehensive detection of carbonyl compounds. More than 400 peaks were observed in the MRM chromatogram from all leaves. The distribution of m/z values that represent CCs were analyzed employing the principle component analysis-discriminant analysis by relating it to the leaf position. The distribution of CC was different for each leaf where the leaves of the second and third layers were similar and significantly different from the leaves of the first layer. The accumulation of trans-2-hexenal was dominant in the first layer; therefore, the utilization of the first layer is not suitable as the part of the sample to discover the freshness marker of multi-layered leafy vegetables.
用化学计量学分析分析新鲜卷心菜中的羰基化合物,建立新鲜评价方法
摘要本研究的目的是筛选新鲜卷心菜中羰基化合物(CCs)的分布,作为多层叶菜的样本模型,以发现新鲜农产品的通用新鲜度标志。在白菜的外三层叶层中观察到cc的分布。在采后贮藏处理过程中,每片叶子的cc特征将指导选择哪片叶子是合适的部分,以进一步发现白菜的新鲜度标记。用氯仿和甲醇的混合物(2:1)提取每片叶子中的羰基化合物。从样品中提取的CCs用丹酰肼衍生化。采用高效液相色谱-质谱联用多反应监测(MRM)技术对羰基化合物进行综合检测。所有叶片的MRM图谱均有400多个峰。采用主成分分析-判别分析方法,通过将m/z值与叶片位置联系起来,分析了代表cc的m/z值的分布。每片叶片CC分布不同,第2层和第3层叶片相似,与第1层叶片差异显著。第一层以反式-2-己烯醛积累为主;因此,利用第一层作为样品部分发现多层叶菜的新鲜度标志是不合适的。
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
Open Agriculture
Open Agriculture AGRICULTURE, MULTIDISCIPLINARY-
CiteScore
3.80
自引率
4.30%
发文量
61
审稿时长
9 weeks
期刊介绍: Open Agriculture is an open access journal that publishes original articles reflecting the latest achievements on agro-ecology, soil science, plant science, horticulture, forestry, wood technology, zootechnics and veterinary medicine, entomology, aquaculture, hydrology, food science, agricultural economics, agricultural engineering, climate-based agriculture, amelioration, social sciences in agriculuture, smart farming technologies, farm management.
文献相关原料
公司名称 产品信息 采购帮参考价格
×
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