Sustainable energy harvesting from acidic wastewater through a COF-stabilized aramid nanofiber composite membrane

http://english.qibebt.cas.cn/ne/rp/202504/t20250407_909473.html

https://pubs.acs.org/doi/10.1021/jacs.4c18730

A research team from the CAS Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT) has introduced a novel membrane design that mimics biological protein channels to enhance proton transport for efficient energy harvesting. Inspired by the ClC-ec1 antiporter found in Escherichia coli, which facilitates the movement of chloride (Cl⁻) and protons, the researchers developed a hybrid membrane composed of covalent organic frameworks (COFs) integrated with aramid nanofibers (ANFs). This ANF/COF composite forms a robust hydrogen-bonding network and features amide groups that selectively bind to Cl⁻ ions, significantly lowering the energy barrier for proton conduction.

In acidic environments, adding just 0.1% Cl⁻ ions (relative to protons) increased the membrane’s proton permeation rate threefold, reaching 9.8 mol m⁻² h⁻¹ for the efficient migration of H⁺ ions. Under simulated acidic wastewater conditions, the ANF/COF membrane achieved an output power density of 434.8 W m⁻²—one of the highest reported to date for osmotic energy generation. It also showed structural stability over 9,000 minutes (~150 hours) of operation in highly acidic media.

more insights

RamEx: high-throughput microbial ramanome analyses with accurate quality assessment

https://www.cas.cn/syky/202602/t20260226_5102870.shtml

https://doi.org/10.1186/s40168-026-02339-3

A research team at the CAS Qingdao Institute of Bioenergy and Bioprocess Technology has developed RamEx, an integrated analysis framework for Ramanome big data. This platform, tailored to the characteristics of Raman spectroscopy data, establishes a one-stop workflow from data reading and standardized preprocessing to downstream data mining, centered on automated quality control algorithms and efficient parallel computing processes. It also demonstrates a systematic analysis of microbial metabolomical heterogeneity and metabolic pattern differentiation at the single-cell level.

Raman genomics deep analysis can track the dynamic changes in the composition of macromolecules such as lipids, proteins, and nucleic acids in different cells, thus revealing the differentiation and succession patterns of microbial metabolic states at the population scale with single-cell precision. This provides new research ideas and technical pathways for understanding the functional organization and environmental adaptation mechanisms of complex communities.

RamEx removes spectral noise in Raman-based microbial cell sorting

http://english.cas.cn/newsroom/research-news/202602/t20260224_1151116.shtml

https://link.springer.com/article/10.1186/s40168-026-02339-3

Scientists from the CAS Qingdao Institute of Bioenergy and Bioprocess Technology have developed a novel computational tool, RamEx, designed to resolve the computational bottleneck in high-throughput microbial Ramanomics.

RamEx streamlines the full Ramanomic analysis pipeline, from data preprocessing and automated quality control to advanced data mining. An Iterative Convolutional Outlier Detection (ICOD) algorithm tackles spectral noise in an unsupervised manner to dynamically identify and eliminate spectral artifacts, ensuring high-quality input for downstream analysis.

The platform’s performance was validated using diverse datasets, including pathogenic bacteria, probiotics, and yeast fermentation systems. Notably, RamEx successfully captured phenotypic heterogeneity in genetically identical yeast cells by detecting subtle metabolic fluctuations and tracking the dynamic accumulation of intracellular macromolecules, including lipids, proteins, and nucleic acids.

Qingdao Port achieves fully unmanned operation of a container ship

https://japanese.cri.cn/2026/02/21/ARTI1771656131487329

The “Zhifei,” China’s first commercially operational smart container ship, accurately docked at a berth at the automated wharf in Qingdao Port, using unmanned autonomous navigation mode. This marks the first time that China has achieved an unmanned operation of a container ship, including navigation, berthing, and operation.

After the “Zhifei” container ship arrived at its designated location, the vacuum suction cups installed in its vacuum automatic mooring system powerfully attracted the hull, firmly securing it to the berth in less than 30 seconds, without any manual mooring work. The terminal’s fully automated loading and unloading equipment then operated simultaneously, and China’s A-TOS (Atelier Terminal Smart Management System) and A-ECS (Analytical Equipment Control System) worked together to precisely coordinate equipment such as automated cranes and automated guided vehicles at millisecond speeds, completing the container loading and unloading process.

The Zhifei is equipped with smart navigation core system, and as China’s first smart cargo ship for commercial operation, it features three navigation modes: manned, remotely controlled, and unmanned autonomous navigation.

Back to …

青岛 Qingdao
a hub for S&T