Quantification of Statins in Pharmaceutical Products Using Screen-Printed Sensors Based of Multi-Walled Carbon Nanotubes and Gold Nanoparticles

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY Inventions Pub Date : 2023-08-30 DOI:10.3390/inventions8050111
R. Roșca, Alexandra Virginia Bounegru, C. Apetrei
{"title":"Quantification of Statins in Pharmaceutical Products Using Screen-Printed Sensors Based of Multi-Walled Carbon Nanotubes and Gold Nanoparticles","authors":"R. Roșca, Alexandra Virginia Bounegru, C. Apetrei","doi":"10.3390/inventions8050111","DOIUrl":null,"url":null,"abstract":"This study describes the use of electrochemical sensors to detect and quantify several statins (rosuvastatin and simvastatin) in pharmaceutical products. Two types of commercially screen-printed sensors were used and compared: one based on carbon (SPCE) and the other modified with gold nanoparticles and multi-walled carbon nanotubes (SPE/GNP-MWCNT). Cyclic voltammetry was employed for determination. The AuNP-MWCNTs/SPCE sensor outperformed the SPCE sensor, displaying excellent electrochemical properties. It demonstrated high sensitivity with low limits of detection (LOD) and quantification (LOQ) values: 0.15 µM and 5.03 µM, respectively, for rosuvastatin and 0.30 µM and 1.01 µM, respectively, for simvastatin. The sensor had a wide linear range of 20–275 µM for rosuvastatin and 50–350 µM for simvastatin. Using the AuNP-MWCNTs/SPCE sensor, rosuvastatin and simvastatin were successfully quantified in pharmaceutical products. The results were validated towards producer-reported values (standardized drugs) and a conventional analysis method (FTIR). The sensor exhibited excellent stability, reproducibility, and analytical recovery ranging from 99.3% to 106.6% with a low relative standard deviation (RSD) of less than 1%. In conclusion, the AuNP-MWCNTs/SPCE sensor proved to be a reliable and sensitive tool for detecting and quantifying statins in pharmaceutical products. Its superior electrochemical properties, low LOD and LOQ values, wide linear range, and high analytical recovery make it a promising choice for pharmaceutical quality control.","PeriodicalId":14564,"journal":{"name":"Inventions","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Inventions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/inventions8050111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

This study describes the use of electrochemical sensors to detect and quantify several statins (rosuvastatin and simvastatin) in pharmaceutical products. Two types of commercially screen-printed sensors were used and compared: one based on carbon (SPCE) and the other modified with gold nanoparticles and multi-walled carbon nanotubes (SPE/GNP-MWCNT). Cyclic voltammetry was employed for determination. The AuNP-MWCNTs/SPCE sensor outperformed the SPCE sensor, displaying excellent electrochemical properties. It demonstrated high sensitivity with low limits of detection (LOD) and quantification (LOQ) values: 0.15 µM and 5.03 µM, respectively, for rosuvastatin and 0.30 µM and 1.01 µM, respectively, for simvastatin. The sensor had a wide linear range of 20–275 µM for rosuvastatin and 50–350 µM for simvastatin. Using the AuNP-MWCNTs/SPCE sensor, rosuvastatin and simvastatin were successfully quantified in pharmaceutical products. The results were validated towards producer-reported values (standardized drugs) and a conventional analysis method (FTIR). The sensor exhibited excellent stability, reproducibility, and analytical recovery ranging from 99.3% to 106.6% with a low relative standard deviation (RSD) of less than 1%. In conclusion, the AuNP-MWCNTs/SPCE sensor proved to be a reliable and sensitive tool for detecting and quantifying statins in pharmaceutical products. Its superior electrochemical properties, low LOD and LOQ values, wide linear range, and high analytical recovery make it a promising choice for pharmaceutical quality control.
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
基于多壁碳纳米管和金纳米颗粒的丝网印刷传感器定量药物中他汀类药物
本研究描述了使用电化学传感器来检测和量化药品中的几种他汀类药物(瑞舒伐他汀和辛伐他汀)。使用并比较了两种商用丝网印刷传感器:一种是基于碳(SPCE),另一种是用金纳米颗粒和多壁碳纳米管(SPE/GNP-MWCNT)修饰。循环伏安法测定。AuNP-MWCNTs/SPCE传感器性能优于SPCE传感器,表现出优异的电化学性能。该方法灵敏度高,检测限(LOD)和定量限(LOQ)低,瑞舒伐他汀分别为0.15µM和5.03µM,辛伐他汀分别为0.30µM和1.01µM。该传感器的线性范围很宽,瑞舒伐他汀为20-275µM,辛伐他汀为50-350µM。利用AuNP-MWCNTs/SPCE传感器,成功地定量了药品中的瑞舒伐他汀和辛伐他汀。结果采用生产者报告值(标准化药品)和常规分析方法(FTIR)进行验证。该传感器具有良好的稳定性、重复性,分析回收率为99.3% ~ 106.6%,相对标准偏差(RSD)小于1%。总之,AuNP-MWCNTs/SPCE传感器被证明是检测和定量药品中他汀类药物的可靠而灵敏的工具。其优良的电化学性能、低LOD和LOQ值、宽线性范围和高分析回收率使其成为药品质量控制的理想选择。
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
Inventions
Inventions Engineering-Engineering (all)
CiteScore
4.80
自引率
11.80%
发文量
91
审稿时长
12 weeks
期刊最新文献
Enhancing Smart Agriculture Monitoring via Connectivity Management Scheme and Dynamic Clustering Strategy Computer Vision Algorithm for Characterization of a Turbulent Gas–Liquid Jet A Modified Xception Deep Learning Model for Automatic Sorting of Olives Based on Ripening Stages Automatic Control and System Theory and Advanced Applications—Volume 2 Large-Scale BESS for Damping Frequency Oscillations of Power Systems with High Wind Power Penetration
×
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