A skin-like cellulose biomimetic hydrogel was prepared based on dynamic covalent chemistry, which realized the combination of ultra-stretchability, self-healing, adhesiveness, antibacterial and mechano-stimuli sensitivity within a single structure.

In this paper, a novel probability-based classification model is proposed for real-time fault detection of power transformers. First, the transformer vibration principle is introduced, and two effective feature extraction techniques are presented. Next, the details of the classification model based on support vector machine (SVM) are shown. The model also includes a binary decision tree (BDT) which divides transformers into different classes according to health state. The trained model produces posterior probabilities of membership to each predefined class for a tested vibration sample. During the experiments, the vibrations of transformers under different conditions are acquired, and the corresponding feature vectors are used to train the SVM classifiers. The effectiveness of this model is illustrated experimentally on typical in-service transformers. The consistency between the results of the proposed model and the actual condition of the test transformers indicates that the model can be used as a reliable method for transformer fault detection.

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Using natural biomass resources to synthesize degradable membrane materials, which may replace traditional plastics, is one of the strategies that can reduce pollution. Herein, a mechanochemical method for preparation of degradable biofilm tannic acid‐modified microfibrillated cellulose (TA@MFC)‐G is proposed. The method involves modification of a microfibrillated cellulose (MFC) with plant polyphenol (tannic acid), followed by complexation with gelatin in an aqueous solution. Compared with pure gelatin film, MFC film has higher intrinsic crystallinity and thermal stability. Due to the synergistic effect of tannin and MFC, the mechanical strength and flexibility of the films are improved; its tensile strength is higher than 75 MPa and its elongation at break is as high as 13%. The films also have high UV blocking ability. Finally, the films are printed using Fe3+ ions or conventional ink, from which it is observed that the pattern printed using Fe3+ ions has higher solvent resistance and water repellency compared to that printed using conventional ink. This biodegradable film may have promising applications as food packaging materials or in other industries.

To prevent the spread of SARS-CoV-2 in cold-chain transportation in China, we developed specific cryogenic disinfectants. Carrier tests were performed against SARS-CoV-2 at − 20 °C for the four cryogenic disinfectants developed and qRT-PCR was used to test the virus RNA. Peracetic acid, chlorine disinfectants (two different concentrations), and quaternary ammonium disinfectant with their antifreeze can all inactivate SARS-CoV-2 in 5 min at − 20 °C. However, after 2–3 h of exposure, only chlorine disinfectant could destroy SARS-CoV-2 RNA. The viruses treated with peracetic acid and quaternary disinfectants showed positive Ct values even after 3 h detected with qRT-PCR. The conclusion was that the cold-chain disinfectants we tested could inactivate SARS-CoV-2 quickly and effectively, but only chlorine disinfectants could destroy nucleic acids in 3 h. Our study also illustrated that using qRT-PCR detection of viral nucleic acids to assess disinfection was inappropriate. Supplementary Information The online version contains supplementary material available at 10.1007/s12560-022-09509-0.