1 year birthday party of “Green Carbon” with a 2024 National Green Carbon Science Conference

http://qibebt.cas.cn/news/zyxw/202410/t20241017_7402455.html

From October 17 – 19, the first birthday of the journal was celebrated with a conference to which over 100 scientists attended.

Signing ceremony of the Qingdao Synthetic Biology Technology Innovation Strategic Alliance

T the conference theme was “Innovation of green and low-carbon technology, empowering carbon peak and carbon neutrality”, focusing on carbon resources, low-carbon conversion technology, multi-energy integration and utilization and other fields for in-depth discussions. The conference invited more than 100 experts, scholars, and business people to attend the conference.

As the chairman of this conference, QIBEBT director and Green Carbon editor-in-chief Lv Xuefeng said that this conference aims to build a high-level exchange platform for scientific research in the field of green and low-carbon research across the country. Breakthroughs will be sought in perovskite photovoltaics, solid-state lithium batteries, biosynthesis of energetic materials, green bio-jet fuel, new generation of bio-based green plasticizers, and iron-branched butyl-pentane rubber. In order to further expand China’s academic influence in the field of green and low-carbon science and technology, the international academic journal Green Carbon aims to promote scientific and technological innovation in the field of sustainable development and provide a high-quality and open academic exchange platform for global researchers in the field of green and low-carbon.

At the meeting, the “Qingdao Synthetic Biology Technology Innovation Strategic Alliance” jointly established by the Qingdao Institute of Energy and relevant enterprises, universities and research institutes was formally established. Qingdao Wanyuan Environmental Technology Co., Ltd., Shandong Jinzhirui New Materials Development Co., Ltd., Shandong Environmental Protection Development Group Co., Ltd., Qingdao Zhongchuanghuike Biotechnology Co., Ltd., Qingdao Zhongke Green Carbon Technology Co., Ltd., Shandong Hengxin Group Co., Ltd., Qingdao Zhongke Yuanben New Energy Co., Ltd., and China Hydrogen Energy Company (Energy Cube (Qingdao) Data Technology Co., Ltd.) signed contracts with the Institute respectively.

The conference also held a special event for the first anniversary of the publication of the international journal Green Carbon. Jiang Lei and Lv Xuefeng presented the “Excellent Editorial Board Award” to Rolf Schmid, Tang Yong, Chen Xuesi and Lv Xuefeng presented the “Excellent Young Editorial Board Award” to 24 young editors, and Rolf Schmid and Lv Xuefeng jointly unveiled the Green Carbon Overseas (Germany) Office.

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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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