AI in analytical chemistry: Advancements, challenges, and future directions
Publication type: Journal Article
Publication date: 2024-07-01
scimago Q1
wos Q1
SJR: 0.976
CiteScore: 11.0
Impact factor: 6.1
ISSN: 00399140, 18733573
PubMed ID:
38569367
Analytical Chemistry
Abstract
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.
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Metrics
62
Total citations:
62
Citations from 2024:
57
(93.44%)
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GOST
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Rial R. C. AI in analytical chemistry: Advancements, challenges, and future directions // Talanta. 2024. Vol. 274. p. 125949.
GOST all authors (up to 50)
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Rial R. C. AI in analytical chemistry: Advancements, challenges, and future directions // Talanta. 2024. Vol. 274. p. 125949.
Cite this
RIS
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TY - JOUR
DO - 10.1016/j.talanta.2024.125949
UR - https://linkinghub.elsevier.com/retrieve/pii/S003991402400328X
TI - AI in analytical chemistry: Advancements, challenges, and future directions
T2 - Talanta
AU - Rial, Rafael C
PY - 2024
DA - 2024/07/01
PB - Elsevier
SP - 125949
VL - 274
PMID - 38569367
SN - 0039-9140
SN - 1873-3573
ER -
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BibTex (up to 50 authors)
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@article{2024_Rial,
author = {Rafael C Rial},
title = {AI in analytical chemistry: Advancements, challenges, and future directions},
journal = {Talanta},
year = {2024},
volume = {274},
publisher = {Elsevier},
month = {jul},
url = {https://linkinghub.elsevier.com/retrieve/pii/S003991402400328X},
pages = {125949},
doi = {10.1016/j.talanta.2024.125949}
}