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杨中华

tsgtutor
tsname杨中华
tsnamepinyinYang Zhong Hua
tssexMale
tsjobtypeEmployed
tseducationWith Certificate of Graduation for Doctorate Study
tsdegreeDoctoral Degree in Agriculture
tsofficelocation第三综合楼B712
tsemail
tsgraduateduniversity中国农业大学
tsteachercollegeCollege of Plant Sciences & Technology
tsunit植物科学技术学院
tsdisciplinePesticide Science    
tsothercontact

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Paper Publications
Dispersive suspended microextraction
tsreleasetime2023-03-07    tsclick

tsimpactfactor6.911

tsjournalnameAnalytica Chimica Acta

tssummaryA 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.

tsfirstauthorZhong-Hua Yang

tsthesistypeJournal paper

tsdocumenttypeJ

tsreelnumber706

tspagescope268-274

tstranslationno

tspublishtime2011-09-08

tsjournalcodeSCI

tslinkurlhttps://linkinghub.elsevier.com/retrieve/pii/S0003267011012098