典型文献
                Deep Learning-Assisted Visualized Fluorometric Sensor Array for Biogenic Amines Detection
            文献摘要:
                    Biogenic amines(BAs)are important biomarkers for monitoring food quality and assisting in the diagnosis of disease.Facial,porta-ble,accurate and high-throughput BAs detection is still challenging by the specific sensor compounds development or the compli-cated instrument operation.Deep 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 monitoring.In this work,we developed a deep learning-assisted visualized fluorometric array-based sensing method.Two commercial fluorescent dyes were selected and combined into sensor arrays.Variation in the alkalinity of BAs causes significant and distinct fluorescence changes of the dyes.In conjunction with pattern recognition by the pretrained CNN models,the sensor ar-ray clearly differentiates seven BAs with 99.29%prediction accuracy and allows rapid single and multi-component quantification with a volume fraction range from 200 cm3/m3 to 2500 cm3/m3.This method also provides a new way for meat freshness monitor-ing.We 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.
                文献关键词:
                    
                中图分类号:
                    
                作者姓名:
                    
                        Xiaoqing Tan;Yingying Ye;Hong Liu;Jianxin Meng;Lin-Lin Yang;Fengyu Li
                    
                作者机构:
                    College of Chemistry and Materials Science,Guangdong Provincial Key Laboratory of Functional Supramolecular Coordination Materials and Applications,Jinan University,Guangzhou,Guangdong 510632,China;Department of Pediatrics,Guangdong Women and Children Hospital,Guangzhou,Guangdong 510000,China
                文献出处:
                    
                引用格式:
                    
                        [1]Xiaoqing Tan;Yingying Ye;Hong Liu;Jianxin Meng;Lin-Lin Yang;Fengyu Li-.Deep Learning-Assisted Visualized Fluorometric Sensor Array for Biogenic Amines Detection)[J].中国化学(英文版),2022(05):609-616
                    
                A类:
                Fluorometric,Amines,porta,fluorometric
                B类:
                    Deep,Learning,Assisted,Visualized,Sensor,Array,Biogenic,Detection,amines,BAs,are,important,biomarkers,monitoring,food,quality,assisting,diagnosis,disease,Facial,ble,accurate,high,throughput,detection,still,challenging,by,specific,sensor,compounds,development,compli,cated,instrument,operation,learning,DL,algorithms,blooming,their,superiority,nonlinear,multidimensional,data,analysis,which,endow,great,advantage,artificial,intelligence,assisted,large,sample,environmental,daily,health,In,this,work,developed,deep,visualized,sensing,method,Two,commercial,fluorescent,dyes,were,selected,combined,into,arrays,Variation,alkalinity,causes,significant,distinct,fluorescence,changes,conjunction,pattern,recognition,pretrained,models,clearly,differentiates,seven,prediction,accuracy,allows,rapid,single,component,quantification,volume,fraction,range,from,cm3,This,also,provides,new,way,meat,freshness,We,envision,that,novel,analytical,be,used,alternative,promising,tool,wider,variety,analytes
                AB值:
                    0.671722
                相似文献
                
            机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。