AI in analytical chemistry: Advancements, challenges, and future directions.

Autor: Cardoso Rial R; Federal Institute of Mato Grosso do Sul, 79750-000, Nova Andradina, MS, Brazil. Electronic address: rafael.rial@ifms.edu.br.
Jazyk: angličtina
Zdroj: Talanta [Talanta] 2024 Jul 01; Vol. 274, pp. 125949. Date of Electronic Publication: 2024 Mar 19.
DOI: 10.1016/j.talanta.2024.125949
Abstrakt: This article explores the influence and applications of Artificial Intelligence (AI) in analytical chemistry, highlighting its potential to revolutionize the analysis of complex data sets and the development of innovative analytical methods. Additionally, it discusses the role of AI in interpreting large-scale data and optimizing experimental processes. AI has been fundamental in managing heterogeneous data and in advanced analysis of complex spectra in areas such as spectroscopy and chromatography. The article also examines the historical development of AI in chemistry, its current challenges, including the interpretation of AI models and the integration of large volumes of data. Finally, it forecasts future trends and the potential impact of AI on analytical chemistry, emphasizing the need for ethical and secure approaches in the use of AI.
Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interestsRafael Cardoso Rial reports article publishing charges was provided by Federal Institute of Education Science and Technology of Mato Grosso do Sul. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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