| With the rapid development of society,people’s living standards continue to improve,followed by food safety issues become the focus of attention problems.Drug residues can cause pollution of the environment and human health problems.Detection part people expect to use and convenient method for monitoring drug residues,determine whether the food contamination.Although the traditional testing method has the advantages of high sensitivity and good selectivity,but not for on-site rapid detection.Because of the development of-simple and rapid detection methods,is especially important in the food safety.Gold nanoparticles(AuNPs)surface plasmon resonance properties and the color of the visual change;Gold nanoclusters(AuNCs)fluorescence intensity change,which provides a new way for drug residue detection.Nano gold as the sensor,this paper combined with smart phones digital colorimetric analysis,established the fly amine,amikacin and warfarin sodium three material on-site rapid detection methods.This thesis mainly studies the results are as follows:1.Based on the cyromazine-NH2 group and triazine ring structure causing AuNPs gathered and solution color changes,and using smart phones for image acquisition and colorimetric analysis,used for rapid detection of cyromazine.Under the optimized conditions,the analysis A666/A520 values the relationship between cyromazine concentration;Analysis of G/R value and the relationship between of cyromazine concentration.Spectrophotometric method and linear range of mobile phone colorimetric method is 3.0~7.0×10-7 mol·L-1,visual detection limit of 3.0×10-7mol·L-1,spectrophotometric method detection limit of 8.13×10-9 mol·L-1.24 kinds of distractors are analyzed when the anti-interference ability and selectivity of the method,shows that this method is expected to be used for the actual samples cyromazine rapid detection.2.Based on amikacin and melamine(MA)hydrogen bonding interaction,induction of functionalized gold nanoparticles(MA-AuNPs)aggregation and color changes,used for rapid detection of amikacin.Under the optimum detection conditions,the relationship between the value of A640/A520 and the concentration of amikacin was analyzed,and the relationship between the value of R and the concentration of amikacin was also analyzed.The linear range of the two analysis methods was 4.0~16.0×10-8 mol·L-1,the visual detection limit was 6.0×10-8 mol·L-1,and the spectrophotometric detection limit was 3.75×10-9 mol·L-1.In the actual samples detection,has high recovery rate,show that the colorimetric method is a simple and rapid,and the method of high sensitivity.3.Based on the super electron donor group(oxygen anion)of warfarin sodium,bovine serum albumin(BSA)was renatured,resulting in the destruction of the stability of BSA-AuNCs and a significant decrease in fluorescence intensity at 665 nm.Under the optimum conditions,when warfarin sodium was added to BSA-AuNCs,there was a good linear relationship between the F0-F value of warfarin sodium and the concentration of warfarin sodium(0~3.2×10-5 mol·L-1),and the detection limit was 3.76×10-6 mol·L-1.In addition,the successful preparation of BSA-AuNCs test paper,test paper to detect the linear range of 0.0~4.0×10-5 mol·L-1,visual detection limit of 1.0×10-5 mol·L-1,realize the visual detection of warfarin sodium.Used for the actual sample testing,showing a good recovery,show that the method in the rapid detection of warfarin sodium residues has good application prospect.The main innovations of this paper are as follows:(1)A colorimetric sensor based on AuNPs and MA-AuNPs is developed,and a new method for fast,convenient and real-time detection of cyromazine and amikacin is developed with smartphone as the terminal.the detection of melamine has high selectivity and anti-interference performance,and the detection of amikacin has low detection limit.(2)the fluorescence sensor based on BSA-AuNCs was constructed,and the BSA-AuNCs test paper was successfully prepared to realize the visual detection of warfarin sodium,which provides a new idea and method for rapid detection. |