利用机器学习算法对乳酸盐和肌钙蛋白 OFET 生物传感器的有效掺杂模型进行实验验证。

IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Nanotechnology Pub Date : 2024-03-03 DOI:10.1109/TNANO.2024.3396505
Sameh O. Abdellatif;Hana Mosalam;Salma A. Hussien
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引用次数: 0

摘要

近年来,随着人们对人类健康和定制化医疗的兴趣与日俱增,许多研究人员将研究重点放在了生物传感器上,以开发一种用于感知不同医疗参数的高性价比设备。在种类繁多的有机电子器件中,有机场效应晶体管(OFET)因其重量轻、灵活性强、能耗低等优点,已被用于制造柔性生物传感器。在本研究中,一个载流子传输电子模型通过实验数据验证,模拟了两种不同生物传感器(乳酸盐和肌钙蛋白)的生物传感过程。最初,我们使用随机森林机器学习模型来优化 OFET 器件,使其具有新的优越性。因此,计算出了传感器的灵敏度和检测限。研究了两种活性层:聚苯胺和五碳烯,其中聚苯胺对乳酸生物传感器 220 (nM)-1 和肌钙蛋白 484 (g/ml)-1 显示出更好的灵敏度。此外,聚苯胺的阈值电压极低,仅为 -170 mV,因此功耗降低了近十倍。
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Experimentally Verified Effective Doping Model for Lactate and Troponin OFET Biosensors Using Machine Learning Algorithm
As the interest in human health and customized medicine has grown recently, many researchers' investigations have concentrated on biosensors to develop a cost-effective device for sensing different medical parameters. Among the wide range of organic electronic devices, organic field effect transistor (OFET) has been used in manufacturing flexible biosensors due to their light weight, flexibility, and lower energy usage. In this study, a carrier transport electronic model, verified with experimental data, simulates the biosensing process in two different biosensors: lactate and troponin. Initially, a random forest machine learning model was used to optimize the OFET device with a new figure of merit. Consequently, the sensor's sensitivity and limit of detection were calculated. Two active layers were investigated: polyaniline and pentacene, where the polyaniline showed better sensitivity for lactate biosensor 220 (nM) -1 and troponin 484 (g/ml) -1 . Moreover, the polyaniline recorded nearly ten times lower power consumption because of its extremely low threshold voltage of -170 mV.
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来源期刊
IEEE Transactions on Nanotechnology
IEEE Transactions on Nanotechnology 工程技术-材料科学:综合
CiteScore
4.80
自引率
8.30%
发文量
74
审稿时长
8.3 months
期刊介绍: The IEEE Transactions on Nanotechnology is devoted to the publication of manuscripts of archival value in the general area of nanotechnology, which is rapidly emerging as one of the fastest growing and most promising new technological developments for the next generation and beyond.
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