Yiming Zhang

Xiuxiu Dong

Sujun Guan

Lin Luo

Xixia Liu

Derek Hao 

Analyzing organic pollutants in food, such as pesticides, pathogenic bacteria, and toxins is critical to ensuring global food security. Implementing reliable, effective, and rapid screening methods can ensure the accuracy of analytical results, improve the efficiency of analysis, and contribute to strengthening food safety supervision, thus promoting the sustainable development of the food system. In recent years, efficient sensing methods have attracted extensive attention, including colorimetry, fluorimetry, surface-enhanced Raman spectroscopy, electrochemistry, and photoelectrochemistry. In addition, and more importantly, the rapidly emerging research field of nanotechnology to deploy nanomaterials provides exciting new possibilities for enhancing the performance of analytical methods (e.g., lower detection limit, wider detection linear range) in bioanalytical and biotechnological applications. Therefore, applying nanomaterials to sensing platforms is essential for efficient sensor development.

Rapid Screening for Organic Pollutants Analysis in Food

Xiaodong Liu

Bo Chen

Qi Liu

Jiansheng Peng

This conference proceeding is a collection of the papers accepted by the CENet2021 – the 11th International Conference on Computer Engineering and Networks held on October 21-25, 2021 in Hechi, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.

Proceedings of the 11th International Conference on Computer Engineering and Networks

Yiming Zhang

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