Analysis of Total Amino Acids in Rice Using a Validated Reversed-Phase High Performance Liquid Chromatographic Method with Diode Array Detection (RP-HPLC-DAD)

Liyanaarachchi Gvv, Mahanama Krr, Somasiri Hpps, Punyasiri Pan, Kottawa-Arachchi Jd
{"title":"Analysis of Total Amino Acids in Rice Using a Validated Reversed-Phase High Performance Liquid Chromatographic Method with Diode Array Detection (RP-HPLC-DAD)","authors":"Liyanaarachchi Gvv, Mahanama Krr, Somasiri Hpps, Punyasiri Pan, Kottawa-Arachchi Jd","doi":"10.35840/ijabm/2408","DOIUrl":null,"url":null,"abstract":"Adaptable to any routine laboratory, the study presents the validation results of a simple, accurate and reliable method developed for the analysis of total amino acids (TAAs) in rice using reversed-phase high-performance liquid chromatography-diode array detection (RP-HPLC-DAD). Exhibiting excellent selectivity with resolution (Rs) ≥ 2 for seventeen amino acids, the method was proven accurate against the analysis performed on the certified reference material (CRM): NIST 3233. Percentages of recoveries were in the range 86% - 100% with percentage relative standard deviation (% RSD) ≤ 6% for all amino acids. Limit of detection (LOD) and limit of quantification (LOQ) values were within 0.024-0.069 g/100 g and 0.025-0.078 g/100 g respectively. A wide working range with satisfactory linearity having regression coefficients ≥ 0.999 were reported for all the amino acids. Complying with international guideline requirements, this validated method can be successfully applied for the determination of seventeen TAAs including all essential amino acids in rice.","PeriodicalId":13753,"journal":{"name":"International Journal of Analytical and Bioanalytical Methods","volume":"35 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Analytical and Bioanalytical Methods","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35840/ijabm/2408","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Adaptable to any routine laboratory, the study presents the validation results of a simple, accurate and reliable method developed for the analysis of total amino acids (TAAs) in rice using reversed-phase high-performance liquid chromatography-diode array detection (RP-HPLC-DAD). Exhibiting excellent selectivity with resolution (Rs) ≥ 2 for seventeen amino acids, the method was proven accurate against the analysis performed on the certified reference material (CRM): NIST 3233. Percentages of recoveries were in the range 86% - 100% with percentage relative standard deviation (% RSD) ≤ 6% for all amino acids. Limit of detection (LOD) and limit of quantification (LOQ) values were within 0.024-0.069 g/100 g and 0.025-0.078 g/100 g respectively. A wide working range with satisfactory linearity having regression coefficients ≥ 0.999 were reported for all the amino acids. Complying with international guideline requirements, this validated method can be successfully applied for the determination of seventeen TAAs including all essential amino acids in rice.
反相高效液相色谱-二极管阵列检测(RP-HPLC-DAD)分析水稻中总氨基酸
本研究建立了一种简便、准确、可靠的反相高效液相色谱-二极管阵列检测(RP-HPLC-DAD)水稻总氨基酸(TAAs)分析方法,适用于常规实验室。该方法对17种氨基酸具有极好的选择性,分辨率(Rs)≥2,在认证标准物质(CRM): NIST 3233上进行的分析被证明是准确的。所有氨基酸的回收率在86% ~ 100%之间,相对标准偏差(% RSD)≤6%。检出限为0.024 ~ 0.069 g/100 g,定量限为0.025 ~ 0.078 g/100 g。所有氨基酸均有较宽的工作范围,线性良好,回归系数≥0.999。该方法符合国际标准要求,可用于大米中所有必需氨基酸的17种TAAs的测定。
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
自引率
0.00%
发文量
0
×
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