人工智能在固/液萃取研究中的最新发展和应用

IF 11.8 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Qamar Salamat , Zinar Pinar Gumus , Mustafa Soylak
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引用次数: 0

摘要

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