4.7 Article

Resonance light scattering sensor of the metal complex nanoparticles using diethyl dithiocarbamate doped graphene quantum dots for highly Pb(II)-sensitive detection in water sample

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.saa.2018.09.002

关键词

Resonance light scattering; Lead; Graphene quantum dots; Diethyldithiocarbamate

资金

  1. Higher Education Research Promotion and National Research University Project of Thailand, Office of the Higher Education Commission, through the Food and Functional Food Research Cluster of Khon Kaen University
  2. Post-doctoral Program from Research Affairs and Graduate School, Khon Kaen University [60162]
  3. Materials Chemistry Research Center, Department of Chemistry
  4. Center of Excellence for Innovation in Chemistry (PERCH-CIC), Thailand

向作者/读者索取更多资源

This study was aimed to detect Pb2+ using diethyl dithiocarbamate-doped graphene quantum dots (DDTC-GQDs) based pyrolysis of citric acid. The excitation maximum wavelength (lambda(max), ex = 337 nm) of the DDTC-GQDs solution was blue shift from bare GQDs (lambda(max), ex = 365 nm), with the same emission maximum wavelength (lambda(max), em = 459 nm) indicating differences in the desired N, S matrices decorating in the nanoparticles. Their resonance light scattering intensities were peaked at the same lambda(max), ex/em = 551/553 nm without any background effect of both ionic strength and masking agent. Under optimal conditions, the linear range was 1.0-10.0 mu g L-1 (R-2 = 0.9899), limit of detection was 0.8 mu g L-1 and limit of quantification was 1.5 mu g L-1. The precision, expressed as the relative standard deviations, for infra-day and inter-day analyses was 0.87% and 4.47%, respectively. The recovery study of Pb2+ for real water samples was ranged between 80.8% and 109.5%. The proposed method was also proved with certified water sample containing 60 mu g L-1 Pb2+ giving an excellent accuracy and was then implied satisfactorily for ultra-trace determination of Pb2+ in drinking water and tap water samples. (C) 2018 Elsevier B.V. All rights reserved.

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