用炭黑/锌-有机骨架纳米复合材料设计一种用于水果中槲皮素定量的超灵敏电化学传感器

IF 9.8 1区 农林科学 Q1 CHEMISTRY, APPLIED
Arunkumar Selvam , Gopika Meenakumari Gopakumar , Chih-Yu Kuo , Kareem Yusuf , Beena Saraswathyamma , Mani Govindasamy
{"title":"用炭黑/锌-有机骨架纳米复合材料设计一种用于水果中槲皮素定量的超灵敏电化学传感器","authors":"Arunkumar Selvam ,&nbsp;Gopika Meenakumari Gopakumar ,&nbsp;Chih-Yu Kuo ,&nbsp;Kareem Yusuf ,&nbsp;Beena Saraswathyamma ,&nbsp;Mani Govindasamy","doi":"10.1016/j.foodchem.2025.145222","DOIUrl":null,"url":null,"abstract":"<div><div>Quercetin, a potent flavonoid recognized for its antioxidant and anti-inflammatory attributes, is abundantly found in fruits and vegetables, considerably enhancing their health benefits. Monitoring quercetin concentrations in food matrices is crucial for quality assurance, nutritional assessment, and substantiating health claims. We report a unique zinc-based metal–organic framework (Zn-MOF) incorporated with carbon black (CB) to create a highly sensitive electrochemical sensor specifically designed for quercetin detection. The distinctive porous architecture of the Zn-MOF, together with the superior conductivity of carbon black, have a synergistic effect that improves electron transfer. The sensor reports a wide linear range of 0.05–350.9 μM and a lowest detection limit of 3.7 nM. Furthermore, Zn-MOF@CB/GCE demonstrates excellent current retention (95.64 %) over a period of one month, together with commendable repeatability and reproducibility. The real-sample study of the proposed sensor demonstrates an effective recovery range for fruits: apple (95.0–99.0 %), grapes (96.0–98.0 %), and guava (97.0–101.0 %).</div></div>","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"491 ","pages":"Article 145222"},"PeriodicalIF":9.8000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of an ultrasensitive electrochemical sensor using a carbon black/zinc-organic framework nanocomposite for quantifying quercetin in fruits\",\"authors\":\"Arunkumar Selvam ,&nbsp;Gopika Meenakumari Gopakumar ,&nbsp;Chih-Yu Kuo ,&nbsp;Kareem Yusuf ,&nbsp;Beena Saraswathyamma ,&nbsp;Mani Govindasamy\",\"doi\":\"10.1016/j.foodchem.2025.145222\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Quercetin, a potent flavonoid recognized for its antioxidant and anti-inflammatory attributes, is abundantly found in fruits and vegetables, considerably enhancing their health benefits. Monitoring quercetin concentrations in food matrices is crucial for quality assurance, nutritional assessment, and substantiating health claims. We report a unique zinc-based metal–organic framework (Zn-MOF) incorporated with carbon black (CB) to create a highly sensitive electrochemical sensor specifically designed for quercetin detection. The distinctive porous architecture of the Zn-MOF, together with the superior conductivity of carbon black, have a synergistic effect that improves electron transfer. The sensor reports a wide linear range of 0.05–350.9 μM and a lowest detection limit of 3.7 nM. Furthermore, Zn-MOF@CB/GCE demonstrates excellent current retention (95.64 %) over a period of one month, together with commendable repeatability and reproducibility. The real-sample study of the proposed sensor demonstrates an effective recovery range for fruits: apple (95.0–99.0 %), grapes (96.0–98.0 %), and guava (97.0–101.0 %).</div></div>\",\"PeriodicalId\":318,\"journal\":{\"name\":\"Food Chemistry\",\"volume\":\"491 \",\"pages\":\"Article 145222\"},\"PeriodicalIF\":9.8000,\"publicationDate\":\"2025-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Food Chemistry\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0308814625024732\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Chemistry","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0308814625024732","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0

摘要

槲皮素是一种被认为具有抗氧化和抗炎特性的强效类黄酮,在水果和蔬菜中大量存在,大大提高了它们的健康益处。监测食物基质中的槲皮素浓度对质量保证、营养评估和证实健康声明至关重要。我们报道了一种独特的锌基金属有机框架(Zn-MOF)与炭黑(CB)结合,创建了一种专门用于槲皮素检测的高灵敏度电化学传感器。Zn-MOF独特的多孔结构,加上炭黑优越的导电性,具有改善电子转移的协同效应。该传感器线性范围为0.05 ~ 350.9 μM,最低检测限为3.7 nM。此外,Zn-MOF@CB/GCE在一个月的时间内表现出优异的当前保留率(95.64 %),同时具有值得赞扬的可重复性和再现性。该传感器对水果的有效回收率为:苹果(95.0-99.0 %)、葡萄(96.0-98.0 %)和番石榴(97.0-101.0 %)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of an ultrasensitive electrochemical sensor using a carbon black/zinc-organic framework nanocomposite for quantifying quercetin in fruits
Quercetin, a potent flavonoid recognized for its antioxidant and anti-inflammatory attributes, is abundantly found in fruits and vegetables, considerably enhancing their health benefits. Monitoring quercetin concentrations in food matrices is crucial for quality assurance, nutritional assessment, and substantiating health claims. We report a unique zinc-based metal–organic framework (Zn-MOF) incorporated with carbon black (CB) to create a highly sensitive electrochemical sensor specifically designed for quercetin detection. The distinctive porous architecture of the Zn-MOF, together with the superior conductivity of carbon black, have a synergistic effect that improves electron transfer. The sensor reports a wide linear range of 0.05–350.9 μM and a lowest detection limit of 3.7 nM. Furthermore, Zn-MOF@CB/GCE demonstrates excellent current retention (95.64 %) over a period of one month, together with commendable repeatability and reproducibility. The real-sample study of the proposed sensor demonstrates an effective recovery range for fruits: apple (95.0–99.0 %), grapes (96.0–98.0 %), and guava (97.0–101.0 %).
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 Chemistry
Food Chemistry 工程技术-食品科技
CiteScore
16.30
自引率
10.20%
发文量
3130
审稿时长
122 days
期刊介绍: Food Chemistry publishes original research papers dealing with the advancement of the chemistry and biochemistry of foods or the analytical methods/ approach used. All papers should focus on the novelty of the research carried out.
×
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:604180095
Book学术官方微信