Consumer adoption of electric vehicles is essentially related to product quality factors, such as safety, performance and compatibility; however, the relationship between product quality standards and consumer behavior is not clear. Based on Multi-Attribute Utility Theory (MAUT) and Prospect Theory, we distinguish claimed quality attributes, intrinsic quality attributes, measured quality attributes and perceived quality attributes and establish a conceptional model using System Dynamics (SD) simulation from the perspective of a Standard-Information-Behavior framework to explore the heterogeneous impacts of technical standards on consumers’ willingness to adopt electric vehicles. Based on the theory model and simulation, we try to explain the heterogeneous effects of three different standards: safety, performance and compatibility. We find that safety standards affect adoption through a market access mechanism, perceived performance of risk standards positively impacts customers’ perceived quality, and compatibility standards influence consumers’ perceived network value. The perceived risk, perceived quality and perceived network value influence consumer adoption willingness and behavior. The study contributes to the theory of innovation diffusion and consumer adoption behavior, and offers insights for standardizing activity, innovation diffusion and marketing product information for electric vehicles.

Based on dual-template molecular imprinting polymerization technology, a fluorescent molecularly imprinted polymer doped with CdSe/ZnS quantum dots was developed to construct a “Turn-on” fluorescence sensor for the rapid, sensitive, and specific detection of two biogenic amines. The biogenic amines bind to the quantum dots, which eliminates surface defects and enhances the fluorescence emission intensity of the quantum dots. By optimizing both the polymerization and detection processes, the results demonstrate that the sensor can detect biogenic amines within the range of 0.01–10 mmol/L, with a low detection limit of 14.57 μmol/L and a detection time of only ten minutes. Moreover, the sensor is cost-effective and does not require specialized instrument operation, offering a practical approach for the rapid detection of biogenic amines in complex food matrices. This study advances the development of simultaneous recognition and rapid detection technologies for multiple target molecules.

A novel aptamer-based fluorescent-sensing platform with a triple-helix molecular switch (THMS) was proposed as a switch for detecting the arsenic(III) ion. The triple helix structure was prepared by binding a signal transduction probe and arsenic aptamer. Additionally, the signal transduction probe labeled with fluorophore (FAM) and quencher (BHQ1) was employed as a signal indicator. The proposed aptasensor is rapid, simple and sensitive, with a limit of detection of 69.95 nM. The decrease in peak fluorescence intensity shows a linear dependence, with the concentration of As(III) in the range of 0.1 µM to 2.5 µM. The whole detection process takes 30 min. Moreover, the THMS-based aptasensor was also successfully used to detect As(III) in a real sample of Huangpu River water with good recoveries. The aptamer-based THMS also presents distinct advantages in stability and selectivity. The proposed strategy developed herein can be extensively applied in the field of food inspection.