Publications by authors named "Wenjun Leng"

Article Synopsis
  • Zinc oxide nanoparticles (ZnO) can significantly improve lettuce growth that is stressed by harmful substances like phenanthrene and cadmium, promoting better biomass and root length while reducing cellular damage.
  • The application of ZnO enhances the movement of zinc to various plant parts, regulating metabolic pathways and microbial communities, which indicates its potential for improving plant health and resilience in contaminated soils.
  • Metabolomic analysis shows that ZnO not only influences key metabolic processes in leaves but also increases beneficial bacterial populations in both plants and the surrounding soil, suggesting a robust strategy for sustainable agriculture in areas affected by heavy metal pollution and PAHs.
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Sulfonamides (SAs) are one of the major emerging contaminants of concern, but comparative studies on the degradation of different types of SAs are still limited. This work comprehensively compared the degradation of sulfadiazine (SDZ), sulfamethoxazole (SMX) and sulfathiazole (STZ) under UV light in peracetic acid (PAA) from both experimental and theoretical aspects, as they represent two structural classes based on substituent differences. The two SAs with five-membered heterocyclic substituents (SMX, STZ) generally decomposed at faster rates, with SMX degrading up to 10 times faster than SDZ (pH = 3; PAA dosage = 80 mg/L).

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Article Synopsis
  • - The study focuses on improving jasmine tea quality by accurately harvesting jasmine flowers at the right growth stage, using the YOLOv7 algorithm to classify flower types based on their visual characteristics.
  • - The YOLOv7 model achieved a mean average precision of 0.948, with high detection accuracy for various flower openness levels ranging from small buds to wilted flowers.
  • - Findings suggest that deep learning can effectively distinguish between jasmine flowers at different stages, potentially aiding in better production practices and smarter flower-picking methods to minimize waste and costs.
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Article Synopsis
  • Active sampling is more reliable for monitoring gaseous pollutants compared to passive methods, as it provides high accuracy unaffected by environmental factors.
  • The study introduces a new low-cost active sampler (LASP) that can operate at a sampling rate of less than 1 mL/min, making it ideal for medium to long-term air quality monitoring.
  • The LASP successfully measured daily and weekly average concentrations of pollutants like nitrogen dioxide and formaldehyde, demonstrating its effectiveness in both outdoor and indoor settings without disrupting daily activities.
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