AUTOMATION IN ANALYTICAL CHEMISTRY: THE ROLE OF AI IN CHROMATOGRAPHY

Q2 Pharmacology, Toxicology and Pharmaceutics
Divekar Kalpana, Shishir Kumar Prasad
{"title":"AUTOMATION IN ANALYTICAL CHEMISTRY: THE ROLE OF AI IN CHROMATOGRAPHY","authors":"Divekar Kalpana, Shishir Kumar Prasad","doi":"10.22159/ijap.2024v16i3.50290","DOIUrl":null,"url":null,"abstract":"Artificial Intelligence (AI) has facilitated significant breakthroughs in drug discovery, the design of materials, and organic synthesis. The advancements in the latter group are especially remarkable due to the abilities of the latest computational methods (molecular design algorithms) that enable the exploration of extensive chemical spaces and enhance research in fields such as predicting molecule properties, designing molecules, retrosynthesis, predicting reaction conditions, and predicting reaction outcomes. A literary review was conducted following PRISMA guidelines. This study aimed to review existing data on the application of AI in separation chromatography. The evolution and utilization of AI in the pharmaceutical industry and its future aspects were articulated in this study. The utilization of AI can completely transform the field of chromatography analysis by facilitating expedited, more precise, and more effective data processing. By automating chromatography analysis, AI can enhance efficiency and minimize the potential for human mistakes. This advancement enables scientists to dedicate their efforts towards addressing intricate and demanding analytical issues. With the evolution of technology and the increasing adoption, we can anticipate more progress in chromatography analysis and analytical chemistry.","PeriodicalId":13737,"journal":{"name":"International Journal of Applied Pharmaceutics","volume":"26 45","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied Pharmaceutics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22159/ijap.2024v16i3.50290","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
引用次数: 0

Abstract

Artificial Intelligence (AI) has facilitated significant breakthroughs in drug discovery, the design of materials, and organic synthesis. The advancements in the latter group are especially remarkable due to the abilities of the latest computational methods (molecular design algorithms) that enable the exploration of extensive chemical spaces and enhance research in fields such as predicting molecule properties, designing molecules, retrosynthesis, predicting reaction conditions, and predicting reaction outcomes. A literary review was conducted following PRISMA guidelines. This study aimed to review existing data on the application of AI in separation chromatography. The evolution and utilization of AI in the pharmaceutical industry and its future aspects were articulated in this study. The utilization of AI can completely transform the field of chromatography analysis by facilitating expedited, more precise, and more effective data processing. By automating chromatography analysis, AI can enhance efficiency and minimize the potential for human mistakes. This advancement enables scientists to dedicate their efforts towards addressing intricate and demanding analytical issues. With the evolution of technology and the increasing adoption, we can anticipate more progress in chromatography analysis and analytical chemistry.
分析化学中的自动化:人工智能在色谱法中的作用
人工智能(AI)促进了药物发现、材料设计和有机合成领域的重大突破。由于最新计算方法(分子设计算法)能够探索广阔的化学空间,并促进了分子性质预测、分子设计、逆合成、反应条件预测和反应结果预测等领域的研究,因此有机合成领域的进步尤为显著。本研究按照 PRISMA 指南进行了文献综述。本研究旨在回顾人工智能在分离色谱法中应用的现有数据。本研究阐述了人工智能在制药业中的发展和应用及其未来前景。利用人工智能可以加快数据处理速度,提高数据处理的精确度和有效性,从而彻底改变色谱分析领域。通过自动化色谱分析,人工智能可以提高效率,最大限度地减少人为错误的可能性。这一进步使科学家们能够集中精力解决复杂而苛刻的分析问题。随着技术的发展和应用的增加,我们可以预见色谱分析和分析化学将取得更大的进步。
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
International Journal of Applied Pharmaceutics
International Journal of Applied Pharmaceutics Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (miscellaneous)
CiteScore
1.40
自引率
0.00%
发文量
219
期刊介绍: International Journal of Applied Pharmaceutics (Int J App Pharm) is a peer-reviewed, bimonthly (onward March 2017) open access journal devoted to the excellence and research in the pure pharmaceutics. This Journal publishes original research work that contributes significantly to further the scientific knowledge in conventional dosage forms, formulation development and characterization, controlled and novel drug delivery, biopharmaceutics, pharmacokinetics, molecular drug design, polymer-based drug delivery, nanotechnology, nanocarrier based drug delivery, novel routes and modes of delivery; responsive delivery systems, prodrug design, development and characterization of the targeted drug delivery systems, ligand carrier interactions etc. However, the other areas which are related to the pharmaceutics are also entertained includes physical pharmacy and API (active pharmaceutical ingredients) analysis. The Journal publishes original research work either as a Original Article or as a Short Communication. Review Articles on a current topic in the said fields are also considered for publication in the Journal.
×
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