https://scholars.lib.ntu.edu.tw/handle/123456789/626312
標題: | Nanomaterial-Based Sensor Arrays With Deep Learning for Screening of Illicit Drugs | 作者: | Yen Y.-T Lin Y.-S Chang Y.-J Li M.-T Chyueh S.-C HUAN-TSUNG CHANG |
關鍵字: | deep learning; illicit drugs; nanomaterials; sensor array | 公開日期: | 2022 | 來源出版物: | Advanced Materials Technologies | 摘要: | Rapid and accurate screening techniques are demanded for illicit drugs that have raised international tensions. Bovine serum albumin-stabilized gold nanoclusters (BSA-Au NCs), carbon dots (C dots), thiosalicylic acid-stabilized silver nanoclusters (TA-Ag NCs), and Marquis reagent as photoluminescent sensing probes for five common illicit drugs are demonstrated in this study. Cocaine, 4-chloroethcathinone (4-CEC), and ketamine induce different degrees of photoluminescence changes of BSA-Au NCs, C dots, and TA-Ag NCs. Detection of heroin and methamphetamine (MA) is based on their formation of fluorescence polymer particles with Marquis reagent. To provide a unique pattern for each analyte, 2 × 4 sensor arrays are prepared. A deep learning-drug screening platform and system (DL-DSPS) is established and applied to differentiate the five illicit drugs, each with unique code based on its response to the probes. For example, codes of (−1, −1, 1, 0), (0, −1, 1, 0), (0, 0, 1, 0), (0, 0, 1, 1), and (0, 0, 0, 1) are for 4-CEC, cocaine, ketamine, heroin, and MA, respectively. The cost-effective and compact DL-DSPS is validated for screening of real-world illicit drug samples, with results in good agreement with that from GC-MS, showing its potential for multi-drug screening at crime scenes. © 2022 Wiley-VCH GmbH. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132316377&doi=10.1002%2fadmt.202200243&partnerID=40&md5=ab0123dd9b4909f785a5e859d74b03df https://scholars.lib.ntu.edu.tw/handle/123456789/626312 |
ISSN: | 2365709X | DOI: | 10.1002/admt.202200243 |
顯示於: | 化學系 |
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