Development of Analytical Quality by Design RP-HPLC Method and Its Validation for Estimation of Gefitinib from Bulk, Tablet Dosage Form and Complex Nanoformulation.

IF 1.7 4区 农林科学 Q3 CHEMISTRY, ANALYTICAL Journal of AOAC International Pub Date : 2024-04-22 DOI:10.1093/jaoacint/qsae033
Mahesh P. More, Sagar R. Pardeshi, Rahul Tade, P. D. Meshram, Jitendra B Naik, Prashant K. Deshmukh
{"title":"Development of Analytical Quality by Design RP-HPLC Method and Its Validation for Estimation of Gefitinib from Bulk, Tablet Dosage Form and Complex Nanoformulation.","authors":"Mahesh P. More, Sagar R. Pardeshi, Rahul Tade, P. D. Meshram, Jitendra B Naik, Prashant K. Deshmukh","doi":"10.1093/jaoacint/qsae033","DOIUrl":null,"url":null,"abstract":"BACKGROUND\nEstimation of the drug and development of the method is a critical aspect of formulation development and a critical factor for analytical scientists. Gefitinib is a poorly soluble anticancer drug.\n\n\nOBJECTIVE\nThe present research enlightens the topic of the development of innovative quality by design methods for the estimation of Gefitinib (GF) from bulk, pharmaceutical tablet formulation and complex nanoformulations.\n\n\nMETHODS\nTo simplify the estimation of poorly soluble drugs like GF, Response Surface Methodology (RSM) was adopted with effective leverages to obtain precise computation design space using the Box-Behnken Design (BBD) model. The major 3 mixed effect independent factors (Percentage of Buffer, pH of buffer and flow rate) were screened with 3 prominent dependent responses (viz., Theoretical Plate, Retention Time, and Tailing Factor) selected for optimal analysis. Furthermore, co-processed steps were employed for the estimation of the analyte from the complex formulation.\n\n\nRESULTS\nThe RP-HPLC method utilizes the quality by design (QbD) approach can effectively estimate the analyte concentration of less than 4.5 min. The developed method was economically robust, and sensitive and shows a % relative standard deviation (%RSD) of less than 2% for all the selected validation parameters. The estimated design space suggests the highest desirability (R2-0.998) at 60% of buffer in the mobile phase, pH 4.25, and flow rate of 0.7 mL/min.\n\n\nCONCLUSION\nThe QbD approach was used to design and develop the method by understanding the interaction between dependent and independent variables to get the optimum values. The developed method was validated successfully and can be useful for formulation scientists to estimate drug concentration and drug release profiles from complex nanoformulations.\n\n\nHIGHLIGHTS\nThe analytical approach was designed and quantified using a quality-by-design approach to make the RP-HPLC method more robust and efficient for the estimation of analytes from complex nanoformulations. The method is also useful to eliminate the interfering molecule during estimation by employing co-processing steps. The developed method saves time, and cost of solvent and employs QbD as a requirement of recent regulatory concern.","PeriodicalId":15003,"journal":{"name":"Journal of AOAC International","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of AOAC International","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1093/jaoacint/qsae033","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

BACKGROUND Estimation of the drug and development of the method is a critical aspect of formulation development and a critical factor for analytical scientists. Gefitinib is a poorly soluble anticancer drug. OBJECTIVE The present research enlightens the topic of the development of innovative quality by design methods for the estimation of Gefitinib (GF) from bulk, pharmaceutical tablet formulation and complex nanoformulations. METHODS To simplify the estimation of poorly soluble drugs like GF, Response Surface Methodology (RSM) was adopted with effective leverages to obtain precise computation design space using the Box-Behnken Design (BBD) model. The major 3 mixed effect independent factors (Percentage of Buffer, pH of buffer and flow rate) were screened with 3 prominent dependent responses (viz., Theoretical Plate, Retention Time, and Tailing Factor) selected for optimal analysis. Furthermore, co-processed steps were employed for the estimation of the analyte from the complex formulation. RESULTS The RP-HPLC method utilizes the quality by design (QbD) approach can effectively estimate the analyte concentration of less than 4.5 min. The developed method was economically robust, and sensitive and shows a % relative standard deviation (%RSD) of less than 2% for all the selected validation parameters. The estimated design space suggests the highest desirability (R2-0.998) at 60% of buffer in the mobile phase, pH 4.25, and flow rate of 0.7 mL/min. CONCLUSION The QbD approach was used to design and develop the method by understanding the interaction between dependent and independent variables to get the optimum values. The developed method was validated successfully and can be useful for formulation scientists to estimate drug concentration and drug release profiles from complex nanoformulations. HIGHLIGHTS The analytical approach was designed and quantified using a quality-by-design approach to make the RP-HPLC method more robust and efficient for the estimation of analytes from complex nanoformulations. The method is also useful to eliminate the interfering molecule during estimation by employing co-processing steps. The developed method saves time, and cost of solvent and employs QbD as a requirement of recent regulatory concern.
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
通过设计开发 RP-HPLC 分析方法及其验证,用于估算散装、片剂和复合纳米制剂中的吉非替尼。
背景药物的估计和方法的开发是制剂开发的一个重要方面,也是分析科学家的一个关键因素。为了简化吉非替尼等溶解性较差的药物的估算,采用了响应面方法(RSM),并有效利用盒-贝肯设计(BBD)模型来获得精确的计算设计空间。筛选了 3 个主要的混合效应独立因素(缓冲液百分比、缓冲液 pH 值和流速)和 3 个突出的因果反应(即理论平板、保留时间和尾流因子),以进行优化分析。结果该 RP-HPLC 方法采用了质量源于设计(QbD)的方法,能在 4.5 分钟内有效地估算出分析物的浓度。所开发的方法经济稳健、灵敏度高,所有选定验证参数的相对标准偏差(%RSD)均小于 2%。估计的设计空间表明,在流动相缓冲液含量为 60%、pH 值为 4.25、流速为 0.7 mL/min 时,该方法的可取性最高(R2-0.998)。该分析方法采用质量源于设计的方法进行设计和量化,使 RP-HPLC 方法更加稳健高效,可用于复杂纳米制剂中分析物的估算。此外,该方法还可通过协同处理步骤消除估算过程中的干扰分子。所开发的方法节省了时间和溶剂成本,并采用了最近监管部门关注的 QbD 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。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of AOAC International
Journal of AOAC International 医学-分析化学
CiteScore
3.10
自引率
12.50%
发文量
144
审稿时长
2.7 months
期刊介绍: The Journal of AOAC INTERNATIONAL publishes the latest in basic and applied research in analytical sciences related to foods, drugs, agriculture, the environment, and more. The Journal is the method researchers'' forum for exchanging information and keeping informed of new technology and techniques pertinent to regulatory agencies and regulated industries.
期刊最新文献
Bacterial Inactivation Studies in Shrimp Pond Water by using Different Disinfectant Agents Ivermectin-based products in the context of green pharmaceutical analysis Comparison of Roka Atlas® System Performance and Health Canada Reference Method for Listeria Detection from Plastic, Sealed Concrete, and Stainless Steel Surface Samples Determination of Aloin A, Aloin B, and Aloe-Emodin in Raw Materials and Finished Products Using HPLC Multi-Laboratory Validation Study, AOAC 2016.09, Final Action Status Determination of Toxic Elements in Botanical Dietary Supplement Ingredient Reference Materials
×
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