Deep Learning-Assisted Visualized Fluorometric Sensor Array for Biogenic Amines Detection

作     者：Xiaoqing Tan Yingying Ye Hong Liu Jianxin Meng Lin-Lin Yang Fengyu Li Xiaoqing Tan;Yingying Ye;Hong Liu;Jianxin Meng;Lin-Lin Yang;Fengyu Li

作者机构：College of Chemistry and Materials ScienceGuangdong Provincial Key Laboratory of Functional Supramolecular Coordination Materials and ApplicationsJinan UniversityGuangzhouGuangdong510632 China Department of PediatricsGuangdong Women and Children HospitalGuangzhouGuangdong510000 China 

出 版 物：《Chinese Journal of Chemistry》 (中国化学（英文版）)

年 卷 期：2022年第40卷第5期

页      面：609-616页

核心收录：

学科分类：08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 081102[工学-检测技术与自动化装置] 

基　　金：This work is supported by the National Natural Science Foundation of China(Nos.21874056 and 52003103) the National Key R&D Program of China(No.2016YFC1100502) the Guangdong Provincial Key Laboratory of Functional Supramolecular Coordination Materials and Appications,Jinan University 

主　　题：Deeplearning Convolutional neural network Sensors Fluorescencel Amines 

摘      要：Biogenic amines(BAs)are important biomarkers for monitoring food quality and assisting in the diagnosis of ***,portable,accurate and high-throughput BAs detection is still challenging by the specific sensor compounds development or the complicated instrument *** learning(DL)algorithms are blooming for their superiority on the nonlinear and multidimensional data analysis,which endow the great advantage for the artificial intelligence assisted large sample analysis of the environmental or daily health *** this work,we developed a deep learning-assisted visualized fluorometric array-based sensing *** commercial fluorescent dyes were selected and combined into sensor *** in the alkalinity of BAs causes significant and distinct fluorescence changes of the *** conjunction with pattern recognition by the pretrained CNN models,the sensor array clearly differentiates seven BAs with 99.29%prediction accuracy and allows rapid single and multi-component quantification with a volume fraction range from 200 cm^(3)/m^(3)to 2500 cm^(3)/m^(3).This method also provides a new way for meat freshness *** envision that this novel analytical method for BAs can be used as an alternative and promising tool for the detection of a wider variety of analytes.