用于选择性萃取大鼠血清中痕量儿茶酚胺及其代谢物的硼酸功能化超交联聚合物

IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL
Zhiyu Zhang, Cheng Yang, Di Zhao, Yuanqing Zhao, Lixin Li, Zhonghua Li, Zhenqiang Zhang, Kai Hu
{"title":"用于选择性萃取大鼠血清中痕量儿茶酚胺及其代谢物的硼酸功能化超交联聚合物","authors":"Zhiyu Zhang,&nbsp;Cheng Yang,&nbsp;Di Zhao,&nbsp;Yuanqing Zhao,&nbsp;Lixin Li,&nbsp;Zhonghua Li,&nbsp;Zhenqiang Zhang,&nbsp;Kai Hu","doi":"10.1002/jssc.202400418","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Abnormal levels of catecholamine (CA) neurotransmitters and their metabolites in biological fluids can lead to various neurological disorders. Herein, a boric acid-functionalized hypercrosslinked polymer was prepared and utilized as a sorbent for the dispersive solid-phase extraction of CAs and their metabolites in rat serum. By combination with a high-performance liquid chromatography-fluorescence detector, the extraction parameters for the seven target analytes were optimized. Under the optimal extraction condition, the methodology for the quantitative analysis of CAs and their metabolites in rat serum samples was established. The limits of detection and limits of quantification were found to be in the ranges of 0.010–0.015 and 0.033–0.050 ng/mL, respectively. The results demonstrated satisfactory recoveries, with values ranging from 88.02% to 113.27%, accompanied by relative standard deviations within the range of 2.69%–9.59%. In addition, the method showed good anti-interference ability (matrix effect ranged from 2.64% to 18.07%). The developed method was validated for the determination of CAs and their metabolites in normal and Alzheimer's disease model rats’ serum, which proved the promising application of the method for CAs neurotransmitter analysis in biological samples.</p>\n </div>","PeriodicalId":17098,"journal":{"name":"Journal of separation science","volume":"47 18","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Boric Acid Functionalized Hypercrosslinked Polymers for Selective Extraction of Trace Catecholamines and Their Metabolites in Rat Serum\",\"authors\":\"Zhiyu Zhang,&nbsp;Cheng Yang,&nbsp;Di Zhao,&nbsp;Yuanqing Zhao,&nbsp;Lixin Li,&nbsp;Zhonghua Li,&nbsp;Zhenqiang Zhang,&nbsp;Kai Hu\",\"doi\":\"10.1002/jssc.202400418\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Abnormal levels of catecholamine (CA) neurotransmitters and their metabolites in biological fluids can lead to various neurological disorders. Herein, a boric acid-functionalized hypercrosslinked polymer was prepared and utilized as a sorbent for the dispersive solid-phase extraction of CAs and their metabolites in rat serum. By combination with a high-performance liquid chromatography-fluorescence detector, the extraction parameters for the seven target analytes were optimized. Under the optimal extraction condition, the methodology for the quantitative analysis of CAs and their metabolites in rat serum samples was established. The limits of detection and limits of quantification were found to be in the ranges of 0.010–0.015 and 0.033–0.050 ng/mL, respectively. The results demonstrated satisfactory recoveries, with values ranging from 88.02% to 113.27%, accompanied by relative standard deviations within the range of 2.69%–9.59%. In addition, the method showed good anti-interference ability (matrix effect ranged from 2.64% to 18.07%). The developed method was validated for the determination of CAs and their metabolites in normal and Alzheimer's disease model rats’ serum, which proved the promising application of the method for CAs neurotransmitter analysis in biological samples.</p>\\n </div>\",\"PeriodicalId\":17098,\"journal\":{\"name\":\"Journal of separation science\",\"volume\":\"47 18\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of separation science\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jssc.202400418\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of separation science","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jssc.202400418","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

摘要

生物体液中儿茶酚胺(CA)神经递质及其代谢物含量异常会导致各种神经系统疾病。本文制备了一种硼酸官能化超交联聚合物,并将其用作吸附剂,对大鼠血清中的 CA 及其代谢物进行分散固相萃取。结合高效液相色谱-荧光检测器,对七种目标分析物的萃取参数进行了优化。在最佳萃取条件下,建立了大鼠血清样品中 CAs 及其代谢物的定量分析方法。结果表明,该方法的检出限和定量限分别为0.010-0.015 ng/mL和0.033-0.050 ng/mL。结果表明该方法的回收率令人满意,在 88.02% 至 113.27% 之间,相对标准偏差在 2.69% 至 9.59% 之间。此外,该方法还具有良好的抗干扰能力(基质效应为 2.64% 至 18.07%)。所建立的方法在正常大鼠和阿尔茨海默病模型大鼠血清中CAs及其代谢物的测定中得到了验证,证明该方法在生物样品中CAs神经递质分析中具有良好的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Boric Acid Functionalized Hypercrosslinked Polymers for Selective Extraction of Trace Catecholamines and Their Metabolites in Rat Serum

Abnormal levels of catecholamine (CA) neurotransmitters and their metabolites in biological fluids can lead to various neurological disorders. Herein, a boric acid-functionalized hypercrosslinked polymer was prepared and utilized as a sorbent for the dispersive solid-phase extraction of CAs and their metabolites in rat serum. By combination with a high-performance liquid chromatography-fluorescence detector, the extraction parameters for the seven target analytes were optimized. Under the optimal extraction condition, the methodology for the quantitative analysis of CAs and their metabolites in rat serum samples was established. The limits of detection and limits of quantification were found to be in the ranges of 0.010–0.015 and 0.033–0.050 ng/mL, respectively. The results demonstrated satisfactory recoveries, with values ranging from 88.02% to 113.27%, accompanied by relative standard deviations within the range of 2.69%–9.59%. In addition, the method showed good anti-interference ability (matrix effect ranged from 2.64% to 18.07%). The developed method was validated for the determination of CAs and their metabolites in normal and Alzheimer's disease model rats’ serum, which proved the promising application of the method for CAs neurotransmitter analysis in biological samples.

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
Journal of separation science
Journal of separation science 化学-分析化学
CiteScore
6.30
自引率
16.10%
发文量
408
审稿时长
1.8 months
期刊介绍: The Journal of Separation Science (JSS) is the most comprehensive source in separation science, since it covers all areas of chromatographic and electrophoretic separation methods in theory and practice, both in the analytical and in the preparative mode, solid phase extraction, sample preparation, and related techniques. Manuscripts on methodological or instrumental developments, including detection aspects, in particular mass spectrometry, as well as on innovative applications will also be published. Manuscripts on hyphenation, automation, and miniaturization are particularly welcome. Pre- and post-separation facets of a total analysis may be covered as well as the underlying logic of the development or application of a method.
×
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