Single-nanozyme single-readout enabled efficient identification of polyphenols for Chinese tea authentication and brewing evaluation.

With the popularity of health-conscious tea drinking, precise sensing of polyphenols as a main class of antioxidants in tea becomes critical for tea authentication and brewing evaluation. Sensor arrays show great potential for the goal, but currently available sensor arrays always need multiple sensing units and/or multi-dimensional signals, resulting in cumbersome sensor construction and operation as well as data processing. Developing easy-to-fabricate and easy-to-use sensor arrays for efficient discrimination is still challenging.

Occurrence, multiphase partition and risk assessment of organic amine pesticides in drinking water source of Xiang River, China.

The extensive use of organic amine pesticides (OAPs) in agricultural practices has resulted in the contamination of water environments, posing threats to ecosystems and human health. This study focused on the Xiang River (XR), a representative drinking water source, as the research area to investigate the occurrence characteristics of 34 OAPs. Diphenylamine emerged as the most prevalent OAP in surface water due to industrial and agricultural activities, while cycloate dominated in sediments due to cumulative effects.

Introducing molecular imprinting onto nanozymes: toward selective catalytic analysis.

The discovery of enzyme-like catalytic characteristics in nanomaterials triggers the generation of nanozymes and their multifarious applications. As a class of artificial mimetic enzymes, nanozymes are widely recognized to have better stability and lower cost than natural bio-enzymes, but the lack of catalytic specificity hinders their wider use. To solve the problem, several potential strategies are explored, among which molecular imprinting attracts much attention because of its powerful capacity for creating specific binding cavities as biomimetic receptors.

Quantitative assessment on soil concentration of heavy metal-contaminated soil with various sample pretreatment techniques and detection methods.

Detection and quantification of heavy metals in soil samples are significant in terms of environmental monitoring and risk assessment for metals. In order to improve the accuracy and precision to detect heavy metal, in this study, four standard samples (NASS-4, NASS-5, NASS-9, and NASS-16) were analyzed by evolving heating (electric heating plate, water bath, and microwave) and acidic systems (includes HCl, HNO, HF, and HClO). The result shows that different pretreatment methods have different effects on the extraction of heavy metal elements and five heavy metal elements (Cu, Zn, Pb, Ni, and Cr) were selected for optimization through pretreatment methods.