Ocean University of China in Qingdao publishes Blue Book on marine CO2 absorption

https://spc.jst.go.jp/news/250903/topic_2_03.html

A “China Blue Carbon 2025” Blue Book was released in Qingdao. The Blue Book project was led by the Marine Carbon Neutrality Center of the Ocean University of China, and had invited more than 70 experts and scholars from over 30 institutions in China and abroad to conduct joint special research.

The blue paper predicts that carbon dioxide absorption by China’s blue carbon ecosystems has been on the rise for over the past decade, reaching 500 million tons of carbon dioxide equivalent by 2035, at which point China will play a central role in global blue carbon contributions. By 2025, China’s total mangrove area will be approximately 303 square kilometers, with a total carbon storage of 6.03 million tons; seagrass beds will be approximately 265 square kilometers, with a total carbon storage of 2.3 million tons; and coastal salt marshes will be approximately 2,980 square kilometers, with a total carbon storage of 91.55 million tons.

The paper also notes that carbon absorption by shellfish and algae farming in China’s coastal waters has increased over the past 20 years. At the same time, China’s marine energy has also developed, with its offshore wind power capacity now number one in the world and its marine primary and secondary industries achieving “carbon minus” status.

According to the president of Ocean University of China, the university aims to achieve synergistic effects on the ecosystem, society, and economy by developing seagrass bed restoration technology, to building a blue carbon resource survey and calculation system, and even developing technologies to track and treat the sources of coastal pollutants.

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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.

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