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国家自然科学基金(s21127008)

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发文基金:国家自然科学基金国家教育部博士点基金广东省自然科学基金更多>>
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复杂体系痕量分析样品前处理介质研究进展
<正>本文针对生物、食品和环境等复杂体系痕量分析存在的样品前处理瓶颈问题,开展了分子印迹聚合物(MIP)、功能化石墨烯、金属有机骨架(MOFs)、微孔有机聚合物(MOP)、功能化葫芦脲及硼酸亲和整体材料等样品前处理介质研...
李攻科胡玉玲张卓旻肖小华胡玉斐
关键词:痕量分析样品前处理分离介质
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甲氧苄啶分子印迹涂层搅拌棒在复杂样品痕量甲氧苄啶和磺胺药物分析中的应用(英文)被引量:6
2012年
研制了甲氧苄啶分子印迹吸附萃取搅拌棒涂层,并应用于复杂样品中痕量甲氧苄啶和磺胺药物的分析。分子印迹涂层的厚度约为21.5μm,相对标准偏差为5.9%(n=10),涂层均匀、致密,具有良好的热稳定性和化学稳定性。分子印迹涂层的萃取容量是非印迹涂层萃取容量的1.7倍,分子印迹涂层对抗菌增效剂、磺胺药物、三嗪化合物和甲氨蝶呤都表现出良好的选择性吸附萃取能力。建立了分子印迹吸附萃取搅拌棒联用高效液相色谱的分析方法,成功应用于加标尿样和血浆中痕量甲氧苄啶的分析,线性范围为5~200μg/L,检出限为1.6μg/L,在尿样和血浆中的回收率范围分别为84.5%~91.7%和71.9%~85.1%,标准偏差分别为2.9%~4.4%和3.0%~7.3%。该方法还应用于加标牛奶中痕量磺胺药物的分析,线性范围为10~200μg/L,检出限在4.5~6.1μg/L之间,回收率为83.2%~110.2%,标准偏差为4.1%~8.0%.
许志刚杜卓胡玉玲胡玉斐潘英朋李攻科
关键词:分子印迹聚合物甲氧苄啶
Metsulfuron-methyl Molecularly Imprinted Stir Bar Sorptive Extraction Coupled with High Performance Liquid Chromatography for Trace Sulfonylurea Herbicides Analysis in Complex Samples被引量:2
2012年
Metsulfuron-methyl molecularly imprinted polymer(MIP)-coated stir bar was prepared for sorptive extraction of sulfonylurea herbicides in complex samples.The MIP-coating was about 21.3 μm thickness with the relative standard deviation(RSD) of 4.4%(n=10).It was homogeneous and porous with good thermal stability and chemical stability.The extraction capability of the MIP-coating was 2.8 times over that of the non-imprinted polymer(NIP)-coating in hexane.The MIP-coating exhibited selective adsorption ability to the template and its analogues.The extraction conditions,including extraction solvent,desorption solvent,extraction time,desorption time and stirring speed,were optimized.A method for the determination of six sulfonylurea herbicides by MIP-coated stir bar sorptive extraction coupled with high performance liquid chromatography(HPLC) was developed.The linear range was 10―200 μg/L and the detection limits were within a range of 2.0―3.3 μg/L.It was also applied to the analysis of sulfonylurea herbicides in spiked river water,soil and rice samples.
XU Zhi-gangDU ZhuoLIAN Hai-xianHU Yu-lingLI Gong-ke
关键词:METSULFURON-METHYLCOATING
复杂体系色谱/质谱分析样品前处理方法研究进展
针对生物、食品和环境等复杂样品痕量组分色谱/质谱分析存在的样品前处理瓶颈问题,开展了分子印迹聚合物(MIP)、功能化石墨烯、金属有机骨架(MOFs)及微孔有机聚合物(MOP)等样品前处理介质研制与复杂样品痕量分析方法研究...
李攻科张素玲潘加亮张成江张卓旻胡玉玲
关键词:样品前处理分离介质
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Porous boronate affinity monolith for on-line extraction coupled to high-performance liquid chromatography for sensitive analysis of heterocyclic aromatic amines in food samples被引量:4
2015年
A novel on-line solid-phase microextraction–high-performance liquid chromatography(SPME–HPLC)system was developed for the determination of heterocyclic aromatic amines(HAAs) in food samples. A poly(vinylphenylboronic acid-co-ethylene glycol dimethacrylate) polymer monolith was prepared for on-line efficient extraction and large-volume injection was used to increase the sensitivity of detection.The polymermonolith, based on a ternary porogen, was prepared by in situ polymerization of vinylphenylboronic acid(VPBA) and ethylene glycol dimethacrylate(EGDMA) in a fused-silica capillary column. It showed good permeability, high extraction capacity, and high selectivity. The column-tocolumn reproducibility was satisfactory, and the enrichment factors for HAAs were 3746–7414.Conditions influencing the on-line extraction efficiency, including p H of sample solutions, flow rate of extraction and desorption, and desorption volume, were investigated. The proposed method had low limit of detection(0.10–0.15 ng/L) and good linearity. Trace HAAs in roast beef and lamb samples were determined, and the amounts of 2-amino-3-methylimidazo[4,5-f]quinoline, 2-amino-3,4-dimethylimidazo[4,5-f]quinoline, 2-amino-3,8-dimethylimidazo[4,5-f]quinoxaline, 2-amino-3,4,8-trimethylimidazo[4,5-f]quinoxaline, and 2-amino-3,4,7,8-tetramethyl-3H-imidazo[4,5-f]quinoxaline in these samples were 0.235–2.08 ng/g. The recoveries for the five HAAs ranged from74.3% to 119%, and the relative standard deviation(RSDs) were less than 8.2%. The results showed that the proposed on-line method was highly sensitive for monitoring HAAs in different food samples.
Qian-Chun ZhangYing-Yi ChengGong-Ke LiXiao-Hua Xiao
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