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杨中华

硕士生导师
教师姓名:杨中华
教师拼音名称:Yang Zhong Hua
性别:男
在职信息:在职
学历:博士研究生毕业
学位:农学博士学位
办公地点:第三综合楼B712
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毕业院校:中国农业大学
所属院系:植物科学技术学院
所在单位:植物科学技术学院
学科:农药学    
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论文成果
Dispersive suspended microextraction
发布时间:2023-03-07    点击次数:

影响因子:6.911

发表刊物:Analytica Chimica Acta

摘要:A novel sample pre-treatment technique termed dispersive suspended microextraction (DSME) coupled with gas chromatography-flame photometric detection (GC-FPD) has been developed for the determination of eight organophosphorus pesticides (ethoprophos, malathion, chlorpyrifos, isocarbophos, methidathion, fenamiphos, profenofos, triazophos) in aqueous samples. In this method, both extraction and two phases’ separation process were performed by the assistance of magnetic stirring. After separating the two phases, 1 L of the suspended phase was injected into GC for further instrument analysis. Varieties of experiment factors which could affect the experiment results were optimized and the following were selected: 12.0 L p-xylene was selected as extraction solvent, extraction speed was 1200 rpm, extraction time was 30 s, the restoration speed was 800 rpm, the restoration time was 8 min, and no salt was added. Under the optimum conditions, limits of detections (LODs) varied between 0.01 and 0.05 g L−1. The relative standard deviation (RSDs, n = 6) ranged from 4.6% to 12.1%. The linearity was obtained by five points in the concentration range of 0.1–100.0 g L−1. Correlation coefficients (r) varied from 0.9964 to 0.9995. The enrichment factors (EFs) were between 206 and 243. In the final experiment, the developed method has been successfully applied to the determination of organophosphorus pesticides in wine and tap water samples and the obtained recoveries were between 83.8% and 101.3%. Compared with other pre-treatment methods, DSME has its own features and could achieve satisfied results for the analysis of trace components in complicated matrices.

第一作者:Zhong-Hua Yang

论文类型:期刊论文

文献类型:J

卷号:706

页面范围:268-274

是否译文:

发表时间:2011-09-08

收录刊物:SCI

发布期刊链接:https://linkinghub.elsevier.com/retrieve/pii/S0003267011012098