基于十八烷基键合蛭石的 QuEChERS 方法测定牦牛酥油中的十种霉菌毒素。

IF 1.8 4区 化学 Q3 CHEMISTRY, ANALYTICAL Analytical Sciences Pub Date : 2024-09-11 DOI:10.1007/s44211-024-00667-8
Jun Wang,Hai-Yan Yang,Jia-Jia Fan,Zi-Han Xu,Zai-Hui Pang,Yuan Feng,Na Wei
{"title":"基于十八烷基键合蛭石的 QuEChERS 方法测定牦牛酥油中的十种霉菌毒素。","authors":"Jun Wang,Hai-Yan Yang,Jia-Jia Fan,Zi-Han Xu,Zai-Hui Pang,Yuan Feng,Na Wei","doi":"10.1007/s44211-024-00667-8","DOIUrl":null,"url":null,"abstract":"To develop a clean-up material suitable for high-fat food matrices for detecting mycotoxins in yak ghee, an octadecyl-bonded hectorite (Hectorite@NHCO(CH2)17CH3) was synthesized through multi-step chemical reactions. A modified QuEChERS-HPLC-MS/MS method for detecting ten mycotoxins in sesame oil in yak ghee was established using Hectorite@NHCO(CH2)17CH3 as clean-up agent. It involved extracting mycotoxin contaminants using acidified acetonitrile and employing the Hectorite@NHCO(CH2)17CH3 to remove interfering substances from the extract. The purified samples were then analyzed using HPLC-MS/MS. Within a linear range of 1.0-500 μg/kg, there was a good linear relationship between the quantification ion peak area of the target analytes and the corresponding concentrations (R2 ≥ 0.9991). The limit of detection (LOD) ranged from 0.10 μg/kg to 18.62 μg/kg and the limit of quantitation (LOQ) ranged 0.32-62.07 μg/kg. The recoveries at low, medium and high concentrations (25, 100 and 500 μg/kg) ranged from 72.2% to 113.9%, with relative standard deviations (RSD) between 3.2% and 17.5%. The intra-day and inter-day precision met experimental requirements. The proposed method was characterized by a high accuracy and precision, and it could cater to the current demand for detecting ten mycotoxins in yak ghee.","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A QuEChERS method based on octadecyl-bonded hectorite for the determination of ten mycotoxins in yak ghee.\",\"authors\":\"Jun Wang,Hai-Yan Yang,Jia-Jia Fan,Zi-Han Xu,Zai-Hui Pang,Yuan Feng,Na Wei\",\"doi\":\"10.1007/s44211-024-00667-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To develop a clean-up material suitable for high-fat food matrices for detecting mycotoxins in yak ghee, an octadecyl-bonded hectorite (Hectorite@NHCO(CH2)17CH3) was synthesized through multi-step chemical reactions. A modified QuEChERS-HPLC-MS/MS method for detecting ten mycotoxins in sesame oil in yak ghee was established using Hectorite@NHCO(CH2)17CH3 as clean-up agent. It involved extracting mycotoxin contaminants using acidified acetonitrile and employing the Hectorite@NHCO(CH2)17CH3 to remove interfering substances from the extract. The purified samples were then analyzed using HPLC-MS/MS. Within a linear range of 1.0-500 μg/kg, there was a good linear relationship between the quantification ion peak area of the target analytes and the corresponding concentrations (R2 ≥ 0.9991). The limit of detection (LOD) ranged from 0.10 μg/kg to 18.62 μg/kg and the limit of quantitation (LOQ) ranged 0.32-62.07 μg/kg. The recoveries at low, medium and high concentrations (25, 100 and 500 μg/kg) ranged from 72.2% to 113.9%, with relative standard deviations (RSD) between 3.2% and 17.5%. The intra-day and inter-day precision met experimental requirements. The proposed method was characterized by a high accuracy and precision, and it could cater to the current demand for detecting ten mycotoxins in yak ghee.\",\"PeriodicalId\":7802,\"journal\":{\"name\":\"Analytical Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analytical Sciences\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1007/s44211-024-00667-8\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Sciences","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1007/s44211-024-00667-8","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

摘要

为了开发一种适用于高脂食品基质的净化材料来检测牦牛酥油中的霉菌毒素,研究人员通过多步化学反应合成了一种十八烷基键合蛭石(Hectorite@NHCO(CH2)17CH3)。以Hectorite@NHCO(CH2)17CH3为净化剂,建立了一种改良的QuEChERS-HPLC-MS/MS方法,用于检测牦牛酥油中芝麻油的10种霉菌毒素。该方法使用酸化乙腈提取霉菌毒素污染物,并使用 Hectorite@NHCO(CH2)17CH3 去除提取物中的干扰物质。然后使用 HPLC-MS/MS 对纯化后的样品进行分析。在 1.0-500 μg/kg 的线性范围内,目标分析物的定量离子峰面积与相应浓度之间具有良好的线性关系(R2 ≥ 0.9991)。检出限(LOD)为 0.10 μg/kg 至 18.62 μg/kg,定量限(LOQ)为 0.32-62.07 μg/kg。低、中、高浓度(25、100 和 500 μg/kg)的回收率为 72.2% 至 113.9%,相对标准偏差(RSD)为 3.2% 至 17.5%。日内和日间精密度均符合实验要求。该方法的准确度和精密度均较高,能满足当前牦牛酥油中十种霉菌毒素的检测要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
A QuEChERS method based on octadecyl-bonded hectorite for the determination of ten mycotoxins in yak ghee.
To develop a clean-up material suitable for high-fat food matrices for detecting mycotoxins in yak ghee, an octadecyl-bonded hectorite (Hectorite@NHCO(CH2)17CH3) was synthesized through multi-step chemical reactions. A modified QuEChERS-HPLC-MS/MS method for detecting ten mycotoxins in sesame oil in yak ghee was established using Hectorite@NHCO(CH2)17CH3 as clean-up agent. It involved extracting mycotoxin contaminants using acidified acetonitrile and employing the Hectorite@NHCO(CH2)17CH3 to remove interfering substances from the extract. The purified samples were then analyzed using HPLC-MS/MS. Within a linear range of 1.0-500 μg/kg, there was a good linear relationship between the quantification ion peak area of the target analytes and the corresponding concentrations (R2 ≥ 0.9991). The limit of detection (LOD) ranged from 0.10 μg/kg to 18.62 μg/kg and the limit of quantitation (LOQ) ranged 0.32-62.07 μg/kg. The recoveries at low, medium and high concentrations (25, 100 and 500 μg/kg) ranged from 72.2% to 113.9%, with relative standard deviations (RSD) between 3.2% and 17.5%. The intra-day and inter-day precision met experimental requirements. The proposed method was characterized by a high accuracy and precision, and it could cater to the current demand for detecting ten mycotoxins in yak ghee.
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
Analytical Sciences
Analytical Sciences 化学-分析化学
CiteScore
2.90
自引率
18.80%
发文量
232
审稿时长
1 months
期刊介绍: Analytical Sciences is an international journal published monthly by The Japan Society for Analytical Chemistry. The journal publishes papers on all aspects of the theory and practice of analytical sciences, including fundamental and applied, inorganic and organic, wet chemical and instrumental methods. This publication is supported in part by the Grant-in-Aid for Publication of Scientific Research Result of the Japanese Ministry of Education, Culture, Sports, Science and Technology.
期刊最新文献
Artificial neural network in optimization of bioactive compound extraction: recent trends and performance comparison with response surface methodology. pH monitoring in high ionic concentration environments: performance study of graphene-based sensors. Ionic liquid applications in analytical chemistry Correction: Effect of the alkyl chain length of α,ω‑dichloroalkane on the Gibbs energy of transfer for functional groups. Construction of all-solid-state ion-selective sensors using electrolyte-containing polymers.
×
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