VALIDATION OF AN ANALYTICAL METHOD FOR THE DETERMINATION OF FATTY ACIDS IN SHEEP BLOOD SERUM SAMPLES

IF 0.5 4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY Quimica Nova Pub Date : 2023-05-29 DOI:10.21577/0100-4042.20230009
Matheus Bazzana, Juliana Garcia, Gabriela Vilela, C. Borges, L. Faria, Nadja Alves, A. Saczk
{"title":"VALIDATION OF AN ANALYTICAL METHOD FOR THE DETERMINATION OF FATTY ACIDS IN SHEEP BLOOD SERUM SAMPLES","authors":"Matheus Bazzana, Juliana Garcia, Gabriela Vilela, C. Borges, L. Faria, Nadja Alves, A. Saczk","doi":"10.21577/0100-4042.20230009","DOIUrl":null,"url":null,"abstract":"Low-density dispersive liquid-liquid microextraction with a subsequent esterification step was proposed in this study for the determination of linoleic acid and stearic acid in sheep blood serum samples. The method developed aimed to quickly and efficiently extract and esterify both fatty acids with subsequent analysis by gas chromatography/flame ionization detection. The extraction method was optimized with Scheffé’s polynomial model for three-component mixtures. The method was validated according to the parameters established by Eurachem Guide (2014). The optimal extraction conditions for LD-DLLME were 1400 µL of dispersion medium (MgCl2 0.017%), 400 µL of extractor solvent (toluene) and 1200 µL of dispersion solvent (methanol). The method performance showed adequate selectivity, sensitivity and precision to be applied to real samples, with an average recovery of 98.54% for linoleic acid and 103.83% for stearic acid. LD-DLLME was superior to the traditional method of analysis, which has been used until now for the determination of fatty acids in blood serum samples from ruminants. The analysis of real samples showed that the developed method is efficient for monitoring these substances in ruminants.","PeriodicalId":49641,"journal":{"name":"Quimica Nova","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quimica Nova","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.21577/0100-4042.20230009","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Low-density dispersive liquid-liquid microextraction with a subsequent esterification step was proposed in this study for the determination of linoleic acid and stearic acid in sheep blood serum samples. The method developed aimed to quickly and efficiently extract and esterify both fatty acids with subsequent analysis by gas chromatography/flame ionization detection. The extraction method was optimized with Scheffé’s polynomial model for three-component mixtures. The method was validated according to the parameters established by Eurachem Guide (2014). The optimal extraction conditions for LD-DLLME were 1400 µL of dispersion medium (MgCl2 0.017%), 400 µL of extractor solvent (toluene) and 1200 µL of dispersion solvent (methanol). The method performance showed adequate selectivity, sensitivity and precision to be applied to real samples, with an average recovery of 98.54% for linoleic acid and 103.83% for stearic acid. LD-DLLME was superior to the traditional method of analysis, which has been used until now for the determination of fatty acids in blood serum samples from ruminants. The analysis of real samples showed that the developed method is efficient for monitoring these substances in ruminants.
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
绵羊血清样品中脂肪酸测定方法的验证
本研究采用低密度分散液液微萃取-酯化法测定绵羊血清样品中的亚油酸和硬脂酸。该方法旨在快速有效地提取和酯化两种脂肪酸,随后通过气相色谱/火焰电离检测进行分析。采用scheff多项式模型对三组分混合物的提取方法进行了优化。根据Eurachem Guide(2014)建立的参数对方法进行验证。LD-DLLME的最佳提取条件为:分散介质(MgCl2 0.017%) 1400µL,萃取溶剂(甲苯)400µL,分散溶剂(甲醇)1200µL。该方法具有良好的选择性、灵敏度和精密度,适用于实际样品,亚油酸和硬脂酸的平均回收率分别为98.54%和103.83%。LD-DLLME方法优于传统的反刍动物血清中脂肪酸的分析方法。实际样品分析表明,该方法对反刍动物体内这些物质的监测是有效的。
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 去求助
来源期刊
Quimica Nova
Quimica Nova 化学-化学综合
CiteScore
1.60
自引率
12.50%
发文量
72
审稿时长
2-4 weeks
期刊介绍: Química Nova publishes in portuguese, spanish and english, original research articles, revisions, technical notes and articles about education in chemistry. All the manuscripts submitted to QN are evaluated by, at least, two reviewers (from Brazil and abroad) of recognized expertise in the field of chemistry involved in the manuscript. The Editorial Council can be eventually asked to review manuscripts. Editors are responsible for the final edition of QN.
期刊最新文献
ATIVAÇÃO DE COMPOSTO ORGÂNICO COM ÁCIDO FOSFÓRICO E OS EFEITOS NA ADSORÇÃO DE Pb E Cd UTILIZAÇÃO DE MODELOS IN SILICO PARA AVALIAÇÃO DA TOXICIDADE DE RESÍDUOS DE AGROTÓXICOS, FÁRMACOS E METABÓLITOS EM ÁGUAS NATURAIS RGB-LED-PHOTOMETER AND THE DIGITAL IMAGE-BASED METHOD USING A SMARTPHONE FOR CHEMISTRY AND PHYSICS TEACHING INTELIGÊNCIA ARTIFICIAL E ENSINO DE QUÍMICA: UMA ANÁLISE PROPEDÊUTICA DO CHATGPT NA DEFINIÇÃO DE CONCEITOS QUÍMICOS A COMPUTATIONAL STUDY OF THE ANTIOXIDANT POWER OF EUGENOL COMPARED TO VITAMIN C
×
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