TY - JOUR

T1 - An intriguing future is approaching

T2 - Artificial intelligence meets molecularly imprinted polymers

AU - Karasu, T.

AU - Çalışır, F.

AU - Pişkin, S.

AU - Özgür, E.

AU - Armutcu, C.

AU - Çorman, M.E.

AU - Uzun, L.

PY - 2024/12/31

Y1 - 2024/12/31

N2 - 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.

AB - 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.

U2 - 10.1016/j.jpbao.2024.100041

DO - 10.1016/j.jpbao.2024.100041

M3 - Journal article

VL - 4

JO - Journal of Pharmaceutical and Biomedical Analysis Open

JF - Journal of Pharmaceutical and Biomedical Analysis Open

SN - 2949-771X

M1 - 100041

ER -