Biodegradation of polyethylene with polyethylene‐group‐degrading enzyme delivered by the engineered Bacillus velezensis

Journal of Hazardous Materials, Год журнала: 2025, Номер 488, С. 137330 - 137330

Опубликована: Янв. 22, 2025

Язык: Английский

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Comprehensive analysis of microplastics at typical outlets around Hainan Island: From spatial distribution to flux estimation and correlation analysis

Water Research, Год журнала: 2025, Номер 276, С. 123289 - 123289

Опубликована: Фев. 13, 2025

Язык: Английский

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What Does the “Trojan Horse” Carry? The Pollutants Associated with Microplastics/Nanoplastics in Water Environments

ACS ES&T Water, Год журнала: 2025, Номер unknown

Опубликована: Март 18, 2025

Язык: Английский

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Prediction of Water Chemical Oxygen Demand with Multi-Scale One-Dimensional Convolutional Neural Network Fusion and Ultraviolet–Visible Spectroscopy

Biomimetics, Год журнала: 2025, Номер 10(3), С. 191 - 191

Опубликована: Март 20, 2025

Chemical oxygen demand (COD) is a critical parameter employed to assess the level of organic pollution in water. Accurate COD detection essential for effective environmental monitoring and water quality assessment. Ultraviolet–visible (UV-Vis) spectroscopy has become widely applied method due its convenience absence need chemical reagents. This non-destructive reagent-free approach offers rapid reliable means analyzing Recently, deep learning emerged as powerful tool automating process spectral feature extraction improving prediction accuracy. In this paper, we propose novel multi-scale one-dimensional convolutional neural network (MS-1D-CNN) fusion model designed specifically prediction. The architecture proposed involves inputting raw UV-Vis spectra into three parallel sub-1D-CNNs, which independently data. outputs from final convolution pooling layers each sub-CNN are then fused single layer, capturing rich set features. output subsequently passed through Flatten layer followed by fully connected predict value. Experimental results demonstrate effectiveness method, it was compared with traditional methods on same dataset. MS-1D-CNN showed significant improvement accuracy prediction, highlighting potential more efficient monitoring.

Язык: Английский

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Integration of transcriptomics and metabolomics reveal cytotoxic mechanisms of Polyethylene terephthalate microplastics in BEAS-2B cells

Food and Chemical Toxicology, Год журнала: 2024, Номер unknown, С. 115125 - 115125

Опубликована: Ноя. 1, 2024

Язык: Английский

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