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ObjectiveTo develop a rapid method for the screening and identification of foodborne （C. perfringens） isolates using multiple nucleic acid detection system combined with matrix assisted laser desorpt ionionization ti...

The dynamic range limitation is intrinsic to conventional RGB cameras, which reduces global contrast and causes the loss of high-frequency details such as textures and edges in complex, dynamic traffic environments (e.g....

The detection of high impedance faults (HIFs) plays a crucial role in modern active distribution systems to prevent risks like equipment failures, fire incidents, and disruptions in service, while maintaining a stable po...

ObjectiveTo establish a method for determining methanol in urine， blood and wine during emergency scenarios using headspace gas chromatography and gas chromatography-mass spectrometry. This method was applied to sample...

Reliable lane detection is crucial to autonomous driving but continues to be challenging with varying lighting conditions. Fluctuations in illuminations due to bright sunlight, shadows or low lighting at night can degrad...

Spectral and polarization information are crucial for characterizing the composition and surface morphology of various materials. However, traditional spectral and polarization detection systems are hampered by bulky, si...

ObjectiveTo develop and validate a high-sensitivity detection method for Salmonella in raw vegetables using a large sample size （500 g）， and to characterize the isolates from retail raw vegetables in Beijing.Method...

Recent studies on nonlocal metasurfaces have shown possibilities of optical image processing, such as edge detection, without the need for Fourier optics and have significantly reduced the form factor. However, the analo...

ObjectiveIn this study， we established sandwich enzyme-linked immunosorbent assay （sELISA） methods to detect major soybean allergens β-Conglycinin and glycinin.MethodsA single-factor experiment was conducted to op...

In this study, we developed a single-beam optical trap-based surface-enhanced Raman scattering (SERS) optofluidic molecular fingerprint spectroscopy detection system. This system utilizes a single-beam optical trap to co...

ObjectiveTo address the false-negative risk associated with trace contamination of severe acute respiratory syndrome coronavirus 2 （SARS-CoV-2） on cold-chain food and packaging material surfaces， this study aimed t...

ObjectiveTo analyze the re-inspection results of 4 types of aflatoxins in wheat and its products inspected in He’nan Province in 2023，a simple evaluation method was attempted to establish.MethodsA total of 51 samples...

ObjectiveTo analyze the epidemic characteristics of foodborne diseases caused by Vibrio parahaemolyticus in Jiangsu Province from 2018 to 2022 and the impact of COVID-19 pandemic on these characteristics.MethodsCollect d...

ObjectiveInvestigating the contents of aflatoxins （AFs）， zearalenone （ZEN） and fumonisins （FBs） in edible vegetable oils to find out the pollution status of typical mycotoxins and provide bases for evaluati...

ObjectiveTo understand the contamination status of aflatoxin in commercially available food in Huzhou City， and to provide data for the assessment of food safety risks in Huzhou City.MethodsIn 2023， five categories o...

"Falls pose a significant health risk to older adults, often resulting in serious injuries and reduced independence. This study explored two machine learning approaches for detecting falls using data from wearable sensor...