Qing Wang

Ms. Qing Wang

Universitat Autònoma de Barcelona, Spain
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 November 2014 in Rock Mechanics and Rock Engineering
Verified
Journal Article
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YLYanyan Li
Yanyan Li
QWQing Wang
Qing Wang
Jianping ChenJianping Chen
Jianping Chen
Shengyuan SongShengyuan Song
Shengyuan Song
YRyunkai ruan
yunkai ruan
QZQi Zhang
Qi Zhang

30 June 2021 in Chemistry Proceedings
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Conference Paper
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QWQing Wang
Qing Wang
Manel Del ValleManel Del Valle
Manel Del Valle
Chemical Oxygen Demand (COD) is a widely used parameter in analyzing and controlling the degree of pollution in water. COD is defined as the amount of molecular oxygen (in milligrams of O2) required to decompose all the organic compounds in 1 L of aqueous solution to carbon dioxide and water. There are many methods reported for COD determination, such as the conventional dichromate titration method. Electro-oxidizing the organic contaminants to completely transform them into CO2 and H2O using sensors is considered the best method for COD estimation. Increasing attention has been paid to electrochemical methods because they are highly sensitive, time-saving, low-cost, and easy to operate. In this sense, copper electrodes have been reported based on the fact that copper in alkaline media acts as a powerful electrocatalyst for the oxidation of aminoacids and carbohydrates, which are believed to be the major culprits for organic pollution. Cyclic voltammetry was the technique used to obtain the voltammetric responses. It is common for different organic compounds to show different cyclic voltammogram shapes and current intensities in different concentrations. In this work, four kinds of electrodes modified with copper (Cu)/copper oxide (CuO)/nickel copper alloy (Ni Cu alloy) nanoparticles were studied for COD analysis; this was done by employing the cyclic voltammetry technique, which involved a Nafion film-covered electrodeposited CuO/Cu nanoparticle electrode (E1), a Cu nanoparticle–graphite composite electrode (E2), a CuO nanoparticle–graphite composite electrode (E3), and a Ni Cu alloy nanoparticle–graphite composite electrode (E4). The COD values were determined via the plotted calibration of COD values vs. the current intensity. Glucose, glycine, potassium hydrogen phthalate (KHP), and ethylene glycol—which show different reducibilities—were chosen as the standard substances to play the role of organic contaminants with different degradation difficulties. From the obtained cyclic voltammograms, we can see that glucose is very easily oxidized by those four electrodes, with electrode E1 displaying the best performance, with a linear range of 19.2~1120.8 mg/L and limit of detection of 27.5 mg/L (calculated based on the formula 3σ/k). In contrast, it is very difficult for the compound KHP to be oxidized by these four electrodes. Nevertheless, the obtained voltammetric profiles presented different shapes with the tested organic compounds, suggesting these four electrodes can compose an electronic tongue array for multivariate analysis. As a result, the main component of river samples—whose degradation could be easy or difficult—can be evaluated via the PCA technique. This evaluation is very helpful for the accuracy of COD detection. The resulting sensor-based method demonstrates great potential not only for estimating the precise value of COD, but for predicting the difficulty of its degradation; this represents a simple, fast, and clean methodology, which is perfectly suited to the present demands of green techniques.

14 November 2019 in Proceedings
Verified
Conference Paper
Open access
PDF file
QWQing Wang
Qing Wang
Manel Del ValleManel Del Valle
Manel Del Valle
Chemical oxygen demand (COD) is a widely used parameter in analyzing and controlling the degree of pollution in water. Methods of analysis based on electrochemical sensors are increasingly being used for COD quantitation because they could be simple, accurate, sensitive and environmentally friendly. Electro-oxidizing the organic contaminants to completely transform them into CO2 and H2O is considered the best method for COD estimation using sensors. In this sense, copper electrodes have been reported based on the fact that copper in alkaline media acts as a powerful electrocatalyst for oxidation of aminoacids and carbohydrates, which are believed to be the major culprits of organic pollution. In this work, three kinds of copper/copper oxide electrodes were studied that employed the cyclic voltammetry technique: electrodeposited copper nanoparticle electrode, copper nanoparticle–graphite composite electrode and copper oxide nanoparticle–graphite composite electrode. Actual COD estimations are based on the measurements of oxidation currents of organic compounds. Glucose, potassium hydrogen phthalate and ethylene glycol were chosen to be the standard substances to observe the responses, and to correlate the current intensity vs. the COD values. The performed calibrations showed that glucose and ethylene glycol can be oxidized by these three electrodes, as the current intensity increased along with increasing concentrations. However, only the electrodeposited copper nanoparticle electrode showed the ability to oxidize potassium hydrogen phthalate. Besides, the obtained voltammetric profiles presented different shapes with the tested organic compounds, suggesting this can be used as a potential fingerprint for distinguishing the organic compounds. Ongoing work is focused on optimizing measuring conditions and detecting the COD values of real samples.