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Citation: FENG Yan, WANG Ji-Kui, ZHANG Bao-Jian, SUN Qian-Wen, LI Xiao-Lu, ZHANG Zhi-Yi, TANG Mei-Hua, CHEN Guo-Song. A Point of Care Testing System for Chemical Oxygen Demand Based on Graphene Oxide-Nickel Nanoparticles Modified Electrode[J]. Chinese Journal of Analytical Chemistry, ;2018, 46(7): 1055-1061. doi: 10.11895/j.issn.0253-3820.181031 shu

A Point of Care Testing System for Chemical Oxygen Demand Based on Graphene Oxide-Nickel Nanoparticles Modified Electrode

College of Chemistry and Molecular Engineering, Nanjing Tech University, Nanjing 210009, China

Received Date: 16 January 2018
Revised Date: 15 May 2018

Fund Project: This work was supported by the China National Program on Key Basic Research and Development Project (No. 2013CB733501).

An electrochemical analysis system for rapid determination of chemical oxygen demand (COD) in flow state was established. A planar electrode modified with GO-NiNPs was matched with a 3D printed thin-layer cell. The sample was driven smoothly through the electrode surface by a micro peristaltic pump and then measured by chronoamperometry. The effect of modified materials, dielectric and electrochemical operating conditions were investigated. The whole response time of COD was 1.5 min and the demand for the sample was about 2 mL. It turned out that the linear range of response in the low concentration region was 0.15-100 mg/L, the linear equation was i(μA)=3.974c (mg/L) + 0.2295 (r=0.9991) and the detection limit was 0.04 mg/L. The linear response range in the high concentration region was 100-450 mg/L, and the linear equation was i(μA)=1.938c (mg/L) + 230.9 (r=0.9877). Compared with the national standard method (GB11914-89) for measuring the actual water samples (Qinhuai River, Xuanwu Lake and Nanjing tap water), the correlation between them was quite good and the analysis time was dropped to 1/100. This new sensing system provided an environmentally friendly and portable method for detection of COD without using expensive, highly corrosive and toxic reagents.
- Graphene oxide,
- Nickel nanoparticles,
- Planar electrode,
- 3D printed thin-layer cell,
- Chemical oxygen demand,
- Point-of-care testing
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