Screening the capability of vibrational spectroscopic techniques for simultaneous quantification of vitamins B1, B6, and B12 in a powder blend

IF 2.7 3区 化学 Q2 CHEMISTRY, ANALYTICAL Vibrational Spectroscopy Pub Date : 2024-07-01 DOI:10.1016/j.vibspec.2024.103711
Apostol Todorovski , Nikola Geskovski , Marina Petreska , Eric Deconinck , Hervé Rebière , Natalija Nakov , Katerina Brezovska , Jelena Acevska
{"title":"Screening the capability of vibrational spectroscopic techniques for simultaneous quantification of vitamins B1, B6, and B12 in a powder blend","authors":"Apostol Todorovski ,&nbsp;Nikola Geskovski ,&nbsp;Marina Petreska ,&nbsp;Eric Deconinck ,&nbsp;Hervé Rebière ,&nbsp;Natalija Nakov ,&nbsp;Katerina Brezovska ,&nbsp;Jelena Acevska","doi":"10.1016/j.vibspec.2024.103711","DOIUrl":null,"url":null,"abstract":"<div><p>The rising possibilities of vibrational spectroscopy coupled with multivariate modeling, enables many applications of these well-established analytical techniques, easy-to-use for rapid and non-destructive analysis. Owing to the lack of need for hazardous solvents or reagents in sample preparation, FTIR, NIR and Raman spectroscopy belong to the group of environmentally friendly techniques, known as “green analytical techniques”. Such characteristics re-introduce them into the pharmaceutical industry, especially as part of process-analytical-technology (PAT) tools for both qualitative and quantitative analysis.</p><p>This research aimed to assess the potential of ATR-FTIR, NIR and Raman as a PAT for the quantification of Vitamins B1 (thiamine), B6 (pyridoxine) and B12 (cyanocobalamin) in a powder blend, using a partial least square (PLS) regression model, as well as to monitor the powder blend homogeneity.</p><p>Results from each of the vibrational spectroscopy techniques were compared with those obtained by HPLC, which served as the reference analytical technique for quantifying the active substances in complex matrices using multivariate analysis. The developed PLS models were evaluated for their ability to quantify each of the active substances in the powder blend. The ATR-FTIR, NIR and Raman spectrum segments, revealed by the Variable Importance for Projection (VIP) plot for each model, respectively, were linked to the band assignment of each active ingredient.</p><p>The statistical indicators of the models (interpretation rate (R2X and R2Y), predictive ability (Q2 and RMSEP) and accuracy (RMSEE)) demonstrated their suitability for in-process estimation of vitamin B1, B6 and B12 contents in powder blends. Estimating B12 content proved more challenging, likely due to sampling issues related to its low content in the powder blend. Nevertheless, the observed variability in the models aligns with the variability in results obtained by HPLC, indicating the lack of blend homogeneity. Therefore, the quantification models could be considered for a further upgrade as PAT for monitoring the powder blend homogeneity during the manufacturing of vitamin blends.</p></div>","PeriodicalId":23656,"journal":{"name":"Vibrational Spectroscopy","volume":"133 ","pages":"Article 103711"},"PeriodicalIF":2.7000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vibrational Spectroscopy","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S092420312400064X","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

The rising possibilities of vibrational spectroscopy coupled with multivariate modeling, enables many applications of these well-established analytical techniques, easy-to-use for rapid and non-destructive analysis. Owing to the lack of need for hazardous solvents or reagents in sample preparation, FTIR, NIR and Raman spectroscopy belong to the group of environmentally friendly techniques, known as “green analytical techniques”. Such characteristics re-introduce them into the pharmaceutical industry, especially as part of process-analytical-technology (PAT) tools for both qualitative and quantitative analysis.

This research aimed to assess the potential of ATR-FTIR, NIR and Raman as a PAT for the quantification of Vitamins B1 (thiamine), B6 (pyridoxine) and B12 (cyanocobalamin) in a powder blend, using a partial least square (PLS) regression model, as well as to monitor the powder blend homogeneity.

Results from each of the vibrational spectroscopy techniques were compared with those obtained by HPLC, which served as the reference analytical technique for quantifying the active substances in complex matrices using multivariate analysis. The developed PLS models were evaluated for their ability to quantify each of the active substances in the powder blend. The ATR-FTIR, NIR and Raman spectrum segments, revealed by the Variable Importance for Projection (VIP) plot for each model, respectively, were linked to the band assignment of each active ingredient.

The statistical indicators of the models (interpretation rate (R2X and R2Y), predictive ability (Q2 and RMSEP) and accuracy (RMSEE)) demonstrated their suitability for in-process estimation of vitamin B1, B6 and B12 contents in powder blends. Estimating B12 content proved more challenging, likely due to sampling issues related to its low content in the powder blend. Nevertheless, the observed variability in the models aligns with the variability in results obtained by HPLC, indicating the lack of blend homogeneity. Therefore, the quantification models could be considered for a further upgrade as PAT for monitoring the powder blend homogeneity during the manufacturing of vitamin blends.

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
筛选振动光谱技术同时定量粉末混合物中维生素 B1、B6 和 B12 的能力
振动光谱技术与多变量建模技术的结合,使这些成熟的分析技术得以广泛应用,并易于进行快速、无损的分析。由于在样品制备过程中不需要使用有害溶剂或试剂,傅立叶变换红外光谱、近红外光谱和拉曼光谱属于环保型技术,被称为 "绿色分析技术"。本研究旨在使用偏最小二乘法(PLS)回归模型,评估 ATR-傅立叶变换红外光谱、近红外光谱和拉曼光谱作为定量粉末混合物中维生素 B1(硫胺素)、B6(吡哆醇)和 B12(氰钴胺)的 PAT 的潜力,并监测粉末混合物的均匀性。将每种振动光谱技术得出的结果与高效液相色谱法得出的结果进行了比较,后者是使用多元分析对复杂基质中的活性物质进行定量的参考分析技术。对所建立的 PLS 模型进行了评估,以确定其对混合粉末中每种活性物质的定量能力。模型的统计指标(解释率(R2X 和 R2Y)、预测能力(Q2 和 RMSEP)和准确度(RMSEE))表明,这些模型适用于混合物粉末中维生素 B1、B6 和 B12 含量的过程估算。B12 含量的估算更具挑战性,这可能是由于其在混合粉末中的含量较低造成的取样问题。尽管如此,观察到的模型变化与 HPLC 得出的结果变化一致,表明混合物缺乏均匀性。因此,可以考虑将定量模型进一步升级为 PAT,用于在维生素混合物生产过程中监测粉末混合物的均匀性。
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
Vibrational Spectroscopy
Vibrational Spectroscopy 化学-分析化学
CiteScore
4.70
自引率
4.00%
发文量
103
审稿时长
52 days
期刊介绍: Vibrational Spectroscopy provides a vehicle for the publication of original research that focuses on vibrational spectroscopy. This covers infrared, near-infrared and Raman spectroscopies and publishes papers dealing with developments in applications, theory, techniques and instrumentation. The topics covered by the journal include: Sampling techniques, Vibrational spectroscopy coupled with separation techniques, Instrumentation (Fourier transform, conventional and laser based), Data manipulation, Spectra-structure correlation and group frequencies. The application areas covered include: Analytical chemistry, Bio-organic and bio-inorganic chemistry, Organic chemistry, Inorganic chemistry, Catalysis, Environmental science, Industrial chemistry, Materials science, Physical chemistry, Polymer science, Process control, Specialized problem solving.
期刊最新文献
Diagnosis of corn leaf diseases by FTIR spectroscopy combined with machine learning Evaluating the thermal stability of hazelnut oil in comparison with common edible oils in Turkey using ATR infrared spectroscopy New insights of emerald geographic origin determination based on the infrared spectroscopy of D2O and HDO molecules Use of a rugged mid-infrared spectrometer for in situ process analysis of liquids Discovery of calcium sulfate at different hydration states on Mars - based on perseverance SHERLOC analysis
×
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