Yanhong Chang

In response to the serious photodegradation problem of organic solar cells, this review explores the factors influencing photostability from materials to devices and highlights recent progress in strategies to improve the photostability of OSCs.

Combined cross‐linked enzyme aggregates (combi‐CLEAs) represent a promising carrier‐free immobilized enzyme technology. This study describes the preparation of combi‐CLEAs comprising leucine dehydrogenase (LeuDH) and formate dehydrogenase (FDH) for the regeneration of cofactor nicotinamide adenine dinucleotide necessary for 2‐aminobutyric acid production. Different from traditional methods using ammonium sulfate or organic reagents as precipitant, this work utilized low concentrations of calcium ions to purify and precipitate the histidine‐tagged enzymes. We developed a simple and environmentally friendly protocol for combi‐CLEAs formation, involving precipitation with 10 mM calcium ions at an enzyme activity ratio of 1:2 for LeuDH and FDH, respectively, followed by cross‐linking with 0.15% (w/v) glutaraldehyde at 20°C for 2 h at pH 7.5. The optimal catalytic reaction temperature and pH value for the combi‐CLEAs were determined to be a temperature of 37°C and a pH of 7.5. The combi‐CLEAs demonstrated enhanced thermal and pH tolerance compared to the free enzyme mixture. Moreover, the combi‐CLEAs showed good operational stability, retaining 40% of its initial activity after seven cycles of reuse. These findings suggest that the combi‐CLEAs of LeuDH and FDH are an efficient and cost‐effective option for 2‐aminobutyric acid production.

A method combining surfactant-assisted synthesis and laminar assembly polymerization is employed to fabricate a 2D Sc₂O₃/COF composite film at ambient temperature and pressure, achieving lateral infinitude, uniformity, and high mechanical strength.

At present, the global energy crisis and environmental pollution coexist, and the demand for sustainable clean energy has been highly concerned. Bioelectrocatalysis that combines the benefits of biocatalysis and electrocatalysis produces high‐value chemicals, clean biofuel, and biodegradable new materials. It has been applied in biosensors, biofuel cells, and bioelectrosynthesis. However, there are certain flaws in the application process of bioelectrocatalysis, such as low accuracy/efficiency, poor stability, and limited experimental conditions. These issues can possibly be solved using machine learning (ML) in recent reports although the combination of them is still not mature. To summarize the progress of ML in bioelectrocatalysis, this paper first introduces the modeling process of ML, then focuses on the reports of ML in bioelectrocatalysis, and ultimately makes a summary and outlook about current issues and future directions. It is believed that there is plenty of scope for this interdisciplinary research direction.

This review presents a comprehensive summary of the material–microorganism interface in microbial hybrid electrocatalysis systems.