{"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.
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.