基于表面增强拉曼光谱技术快速检测桃子中有机磷农药残留研究

发布时间：2021-05-16 07:37

　　近年来,由化学残留物导致的食品安全问题引起了全世界的极大担忧。农药是农业生产的重要资料,但是,会导致农产品内外污染农药残留物。因此,有必要开展检测农药痕量残留物的技术研究。传统的理化分析方法耗时、精细并且需要繁琐的样品制备,开展农药残留的快速检测技术研究对确保农产品安全具有重要意义。因此,本论文主要侧重于表面增强拉曼光谱（SERS）用于检测最受欢迎和广泛的消费水果的桃果实中不同的有机磷农药研究。在论文的第一部分,使用简单快速的表面增强拉曼光谱（SERS）方法与银胶体基底一起检测标准溶液和桃提取物中的氧化乐果。研究结果表明,使用SERS方法可以精确识别农药的特征波数,并计算出的标准溶液和桃提取物中氧化乐果的检出限分别为0.001 mg/L和0.01 mg/kg。在论文的第二部分,对不同核心尺寸的双金属纳米粒子进行了优化,以获得最高的SERS效应,并快速检测桃果实中的有机磷农药（三唑磷和甲基对硫磷）。首先,将所选Au@Ag NPs的拉曼增强效应与纯的Ag NPs和Au NsP进行比较,研究表明Au NPs的尺寸显著影响拉曼信号增强。发现具有（26nm Au核心尺寸和6nm Ag壳厚度）的A... 

【文章来源】：华南理工大学广东省 211工程院校 985工程院校 教育部直属院校

【文章页数】：124 页

【学位级别】：博士

【文章目录】：
摘要
ABSTRACT
LIST OF ABBREVIATIONS
CHAPTER 1 INTRODUCTION AND LITERATURE REVIEW
    1.1 Introduction
    1.2 Peach Fruit
    1.3 Effect of Pesticides
        1.3.1 Organophosphorus Pesticides
        1.3.2 Detection Methods for Pesticides
        1.3.3 Raman Spectroscopy
    1.4 DEVELOPMENT OF SERS
        1.4.1.Roles of Substrates in SERS
            1.4.1.1.Colloidal substrates
            1.4.1.2.Solid substrates
    1.5 Applications of SERS on Food Quality and Safety
        1.5.1.Fruit and Vegetables
        1.5.2.Meat
        1.5.3.Dairy products
        1.5.4.Fishery products
    1.6 Project and thesis
        1.6.1 Need for the Projects
        1.6.2 Objectives
        1.6.3 Thesis structure
CHAPTER 2 EXPERIMENTAL WORK
    2.1 MATERIAL AND METHODS
        2.1.1 Chemicals and reagents
    2.2 Synthesis and characterization of substrates
        2.2.1 Silver colloid
        2.2.2 Gold colloid
        2.2.3 Core-shell nanoparticles
        2.2.4 Characterization of substrates
    2.3 Preparation of Standard solution
    2.4 Extraction of pesticides from peach
    2.5 SERS spectral collection
    2.6 Data analysis
        2.6.1 Spectral data pre-processing
        2.6.2 Data analysis
CHAPTER 3 DETECTION OF OMETHOATE IN PEACH WITH SERS
    3.1 INTRODUCTION
    3.2 MATERIAL AND METHODS
        3.2.1 Chemicals and reagents
        3.2.2 Synthesis and characterization of silver colloid
        3.2.3 Standard solution
        3.2.4 Extraction of omethoate from peach
        3.2.5 SERS spectral collection approach
        3.2.6 Data analysis
    3.3 RESULTS AND DISCUSSION
        3.3.1 Spectral features of omethoate
        3.3.2 SERS analysis of standard solutions
        3.3.3 SERS analysis of omethoate in peach extract
    3.4 CONCLUSIONS
CHAPTER 4 ENHANCEMENT EFFECT OF SERS FOR DETECTION OF TRIAZOPHOS AND METHYL-PARATHION RESIDUES IN PEACH BASED ON CORE-SHELL BIMETALLIC AU@AGNPS
    4.1 INTRODUCTION
    4.2 MATERIAL AND METHODS
        4.2.1 Chemicals and reagents
        4.2.2 Synthesis and characterization of substrates
        4.2.3 Characterization of substrates
        4.2.4 Standard solution
        4.2.5 Extraction of pesticide from peach
        4.2.6 SERS spectral collection
        4.2.7 Data analysis
    4.3 RESULTS AND DISCUSSION
        4.3.1 Spectral features of triazophos and parathion-methyl
        4.3.2 Characterization of substrates
        4.3.3 Selection of different size Au@Ag nanoparticles for triazophos and parathion-methyl
        4.3.4 Raman enhancement mechanism of Au@Ag NPs
        4.3.5 Analysis of triazophos and parathion-methyl standard solutions
        4.3.6 Analysis of triazophos and parathion-methyl in peach extract
        4.3.7 Recovery of pesticide concentration in peach extract
        4.3.8 Interference evaluation of other pesticides
        4.3.9 Comparison of the current Au@Ag NPS-SERS method with other reported methods
    4.4 CONCLUSIONS
CHAPTER 5 SIMULTANEOUS DETECTION OF MULTI-CLASS INSECTICIDE RESIDUES IN PEACH WITH SERS TECHNIQUE BASED ON CORE-SHELL BIMETALLIC AU@AG NPS
    5.1 INTRODUCTION
    5.2 MATERIAL AND METHODS
        5.2.1 Chemicals and reagents
        5.2.2 Synthesis and characterization of substrates
        5.2.3 Characterization of substrates
        5.2.4 Standard solution
        5.2.5 Extraction of pesticide from peach
        5.2.6 SERS measurement
        5.2.7 Data analysis
    5.3 RESULTS AND DISCUSSION
        5.3.1 Spectral features of thiacloprid,profenofos and oxamyl
        5.3.2 Characterization of substrates
        5.3.3 SERS analysis of single insecticide standard solutions
        5.3.4 SERS analysis of single insecticide in peach extract
        5.3.5 Recovery of pesticide concentration in peach extract
        5.3.6 Simultaneous detection of multi-class insecticides in peach extracts
    5.4 CONCLUSIONS
CHAPTER 6 EFFECTS OF IONS ON CORE-SHELL BIMETALLIC AU@AG NPS FOR DETECTION OF PHOSALONE IN PEACH BY SERS
    6.1 INTRODUCTION
    6.2 MATERIALS AND METHODS
        6.2.1 Chemicals and reagents
        6.2.2 Synthesis and characterization of substrates
        6.2.3 Characterization of substrates
        6.2.4 Detection of phosalone standard solution
        6.2.5 Extraction of phosalone from peach
        6.2.6 SERS spectral collection
        6.2.7 Data analysis
    6.3 RESULTS AND DISCUSSION
        6.3.1 Spectral features of phosalone
        6.3.2 Characterization of substrates
        6.3.3 Effects of concentrations of aggregating agents on SERS intensity
        6.3.4 Effects of pH on SERS intensity
        6.3.5 Effects of different aggregating agents on SERS intensity
        6.3.6 Detecting phosalone in standard solutions
        6.3.7 Detecting phosalone in peach extract
    6.4 CONCLUSIONS
CHAPTER 7 CONCLUSIONS AND RECOMMENDATIONS
    7.1 CONCLUSION
    7.2 ACHIEVEMENTS AND INNOVATIONS
    7.3 RECOMMENDATION FOR FUTURE WORK
REFERENCES
攻读博士学位期间取得的研究成果
ACKNOWLEDGMENTS
附件


【参考文献】：
期刊论文
[1]杀线威在Fe3O4/Ag纳米磁粒上的吸附及表面增强拉曼光谱研究[J]. 刘江美,刘文涵,滕渊洁,蓝闽波,马苏珍,袁荣辉,聂晶,何昌璟.  光谱学与光谱分析. 2017(07)
[2]A highly sensitive,dual-signal assay based on rhodamine B covered silver nanoparticles for carbamate pesticides[J]. Qing-Jiao Luo,Yong-Xin Li,Meng-Qian Zhang,Ping Qiu,Yong-Hui Deng.  Chinese Chemical Letters. 2017(02)
[3]氧化乐果的振动光谱及其表面增强拉曼散射研究[J]. 吉芳英,黎司,虞丹尼,周光明,何强.  分析化学. 2010(08)



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