A deep-sea salmon farming facility near Qingdao

https://jp.news.cn/20250116/9dc88fa0753f468da2fc4772c53548ec/c.html?page=1

In a large-scale deep sea smart fishery farming facility “Deep Blue 2” in the Qingdao National Deep Sea and Ocean Green Aquaculture Test Area, approximately 400,000 salmon are farmed in farming cages, with a high survival rate and healthy growth.

According to Gu Qihuan, production manager at Shandong Caijing Wanzefeng Marine Technology Co., Ltd., salmon farming requires strict environmental conditions, and it is very difficult to find suitable sea areas for large-scale farming. However, this location is home to 130,000 square kilometers of Yellow Sea cold water mass, and the water temperature in summer is 10 to 16 degrees Celsius, which is very suitable for salmon growth. Deep Blue 2 sinks to the level of the cold water mass less than 30 meters in summer and rises to the surface again in winter.

Deep Blue 2 is 71.5 meters high, 70 meters in diameter, and has a fully submerged farming area of 90,000 cubic meters. It is equipped with multiple smart farming equipment such as an automatic feeding system and an underwater photography system, making unmanned farming in the deep sea and distant ocean possible.

For harvest, schools of salmon are sucked up one after another onto work boats, passed through a fish-water separator, and transported to a workshop for processing. Workers place the salmon in insulated boxes filled with ice and transport them to land overnight for processing and sale.

The freshly caught salmon weigh an average of 3-4 kilograms each, and each harvest is about 5,000 fish. At the earliest, they can be delivered to major cities in China in just over 30 hours.

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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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