Development and validation of UV–Vis spectrophotometric method for determination of rivastigmine in PBS and biological matrices: Application to ex vivo permeation profiles and in vivo studies from trilayer dissolving microneedle
{"title":"Development and validation of UV–Vis spectrophotometric method for determination of rivastigmine in PBS and biological matrices: Application to ex vivo permeation profiles and in vivo studies from trilayer dissolving microneedle","authors":"Aprilia Paramitha Dwi Putri , Nur Rezky Aulia Ilyas , Dian Arnita Putri Abdullah , Febriansyah Anandha Pratama , Kanaya Shafi Azzahra , Andi Dian Permana","doi":"10.1016/j.cdc.2023.101106","DOIUrl":null,"url":null,"abstract":"<div><p>Alzheimer's disease (AD) is a neurological illness. AD is often treated with rivastigmine (RV). The present study developed trilayer dissolving microneedle (TDMN) RV delivery system to overcome challenges in RV conventional forms. To enable the assessment of TDMN by <em>ex vivo</em> and <em>in vivo</em> methods, we developed a UV–Visible spectrophotometric method to quantify RV in four media using cobalt thiocyanate as a derivatization reagent. Guidelines set by the International Conference on Harmonization (ICH) were used to validate this approach. Results indicate a correlation coefficient of 0.9999 for all media, with the lower limit of quantification values for Phosphate Buffer Saline, rats’ plasma, skin, and brain matrices were 1.29, 0.67, 0.67, and 0.89 µg/mL, respectively. Significantly, the method is precise and accurate. Finally, to support this study's objective, TDMN formulation was developed, and direct application of the proposed method for quantifying RV in <em>ex vivo</em> and <em>in vivo</em> studies was conducted.</p></div>","PeriodicalId":269,"journal":{"name":"Chemical Data Collections","volume":"49 ","pages":"Article 101106"},"PeriodicalIF":2.2180,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405830023001179/pdfft?md5=eef5567876af029d8e1b3a897d17be5c&pid=1-s2.0-S2405830023001179-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Data Collections","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405830023001179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Chemistry","Score":null,"Total":0}
引用次数: 0
Abstract
Alzheimer's disease (AD) is a neurological illness. AD is often treated with rivastigmine (RV). The present study developed trilayer dissolving microneedle (TDMN) RV delivery system to overcome challenges in RV conventional forms. To enable the assessment of TDMN by ex vivo and in vivo methods, we developed a UV–Visible spectrophotometric method to quantify RV in four media using cobalt thiocyanate as a derivatization reagent. Guidelines set by the International Conference on Harmonization (ICH) were used to validate this approach. Results indicate a correlation coefficient of 0.9999 for all media, with the lower limit of quantification values for Phosphate Buffer Saline, rats’ plasma, skin, and brain matrices were 1.29, 0.67, 0.67, and 0.89 µg/mL, respectively. Significantly, the method is precise and accurate. Finally, to support this study's objective, TDMN formulation was developed, and direct application of the proposed method for quantifying RV in ex vivo and in vivo studies was conducted.
期刊介绍:
Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.