An intriguing future is approaching: Artificial intelligence meets molecularly imprinted polymers

Artificial intelligence (AI) is developing and expanding rapidly beyond the expectations of engineers who develop it as well. It is evaluated that it has/will have great potential not only in terms of software but also in terms of material science, data analysis, and decision-making. On the other hand; molecularly imprinted polymers (MIPs) still attract researchers’ attention with their superior features in terms of wide range of design options and application fields. In this review, the combination of AI and MIP applications and their potential contributions to the future were compiled. In this context, firstly, a brief introduction to MIPs were given in a combination with recent sensor design approaches. Subsequently, the subject of artificial intelligence, in other commonly used words, machine learning, was discussed while summarizing the commonly used algorithms. In the last section, pioneering studies involving the combination of AI and MIPs are highlighted. This review will be the first article compiling AI and MIPs as well as it is thought to be an important main resource for researchers and enthusiasts. • AI is developing and expanding rapidly beyond the expectations of engineers. • MIPs still attract researchers’ attention with their superior features. • The combination of AI and MIP applications and their potential contributions to the future. • The dependency of biosensors on AI will increase day-by-day. • AI will metamorphose healthcare, environmental monitoring, and food safety

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Publication Details

Journal
Journal of Pharmaceutical and Biomedical Analysis Open
Published
2024-09-06
DOI
https://doi.org/10.1016/j.jpbao.2024.100041
Citations
15
Primary Topic
Analytical chemistry methods development
Type
article
Field-Weighted Citation Impact
3.54
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article

An intriguing future is approaching: Artificial intelligence meets molecularly imprinted polymers

Fatih Çalışır, Lokman Uzun, Tunca Karasu, Sena Pişkin et al.
15 citations
Journal of Pharmaceutical and Biomedical Analysis Open
Analytical chemistry methods development
3.54
article

An intriguing future is approaching: Artificial intelligence meets molecularly imprinted polymers

Fatih Çalışır, Lokman Uzun, Tunca Karasu, Sena Pişkin, Canan Armutçu, M. Emin Çorman, Erdoğan Özgür
article en
15 citations

Abstract

Artificial intelligence (AI) is developing and expanding rapidly beyond the expectations of engineers who develop it as well. It is evaluated that it has/will have great potential not only in terms of software but also in terms of material science, data analysis, and decision-making. On the other hand; molecularly imprinted polymers (MIPs) still attract researchers’ attention with their superior features in terms of wide range of design options and application fields. In this review, the combination of AI and MIP applications and their potential contributions to the future were compiled. In this context, firstly, a brief introduction to MIPs were given in a combination with recent sensor design approaches. Subsequently, the subject of artificial intelligence, in other commonly used words, machine learning, was discussed while summarizing the commonly used algorithms. In the last section, pioneering studies involving the combination of AI and MIPs are highlighted. This review will be the first article compiling AI and MIPs as well as it is thought to be an important main resource for researchers and enthusiasts. • AI is developing and expanding rapidly beyond the expectations of engineers. • MIPs still attract researchers’ attention with their superior features. • The combination of AI and MIP applications and their potential contributions to the future. • The dependency of biosensors on AI will increase day-by-day. • AI will metamorphose healthcare, environmental monitoring, and food safety

Journal of Pharmaceutical and Biomedical Analysis OpenVol. 4
Gülhane Askerî Tıp Akademisi (TR), Sağlık Bilimleri Üniversitesi (TR), Aselsan (Turkey) (TR), Hacettepe University (TR), University of Health Sciences Antigua (AG)
Openalex Percentile: Top 7%
Analytical chemistry methods development
3.54
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