Recent developments and applications of artificial intelligence in solid/liquid extraction studies

IF 11.8 1区 化学 Q1 CHEMISTRY, ANALYTICAL Trends in Analytical Chemistry Pub Date : 2024-11-16 DOI:10.1016/j.trac.2024.118057
Qamar Salamat , Zinar Pinar Gumus , Mustafa Soylak
{"title":"Recent developments and applications of artificial intelligence in solid/liquid extraction studies","authors":"Qamar Salamat ,&nbsp;Zinar Pinar Gumus ,&nbsp;Mustafa Soylak","doi":"10.1016/j.trac.2024.118057","DOIUrl":null,"url":null,"abstract":"<div><div>Artificial intelligence has great potential in extraction processes, and these technologies greatly facilitate the transformation of data into meaningful information. This review highlights inference studies using artificial intelligence and provides an overview of the types of algorithms and advanced chemometric tools used in these studies. The use of artificial intelligence, which is mostly used in classification, origin determination, and studies with large data sets, is still very limited in SPE and LPME research and investigations. This review examined SPE and LPME studies for different analytes using keywords in other algorithms under the main title of artificial intelligence.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"182 ","pages":"Article 118057"},"PeriodicalIF":11.8000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Analytical Chemistry","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165993624005405","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Artificial intelligence has great potential in extraction processes, and these technologies greatly facilitate the transformation of data into meaningful information. This review highlights inference studies using artificial intelligence and provides an overview of the types of algorithms and advanced chemometric tools used in these studies. The use of artificial intelligence, which is mostly used in classification, origin determination, and studies with large data sets, is still very limited in SPE and LPME research and investigations. This review examined SPE and LPME studies for different analytes using keywords in other algorithms under the main title of artificial intelligence.
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
人工智能在固/液萃取研究中的最新发展和应用
人工智能在提取过程中具有巨大潜力,这些技术极大地促进了数据向有意义信息的转化。本综述重点介绍了使用人工智能进行的推断研究,并概述了这些研究中使用的算法类型和先进的化学计量学工具。人工智能主要用于分类、原产地确定和大型数据集研究,但在 SPE 和 LPME 研究和调查中的使用仍然非常有限。本综述以人工智能为主标题,考察了使用其他算法中的关键词对不同分析物进行的 SPE 和 LPME 研究。
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
Trends in Analytical Chemistry
Trends in Analytical Chemistry 化学-分析化学
CiteScore
20.00
自引率
4.60%
发文量
257
审稿时长
3.4 months
期刊介绍: TrAC publishes succinct and critical overviews of recent advancements in analytical chemistry, designed to assist analytical chemists and other users of analytical techniques. These reviews offer excellent, up-to-date, and timely coverage of various topics within analytical chemistry. Encompassing areas such as analytical instrumentation, biomedical analysis, biomolecular analysis, biosensors, chemical analysis, chemometrics, clinical chemistry, drug discovery, environmental analysis and monitoring, food analysis, forensic science, laboratory automation, materials science, metabolomics, pesticide-residue analysis, pharmaceutical analysis, proteomics, surface science, and water analysis and monitoring, these critical reviews provide comprehensive insights for practitioners in the field.
期刊最新文献
Technological innovations and applications of human olfaction analysis Recent trends in biosensors for leukemia diagnosis: A critical overview of electrochemical and optical approaches for clinical applicability Mind your Ps and Qs – Caveats in metabolomics data analysis CRISPR diagnostics for WHO high-priority sexually transmitted infections CRISPR-Cas-based colorimetric strategies for nucleic acids detection
×
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