Green Carbon co-organizes 17th International Clostridium Conference

http://qibebt.cas.cn/news/zyxw/202409/t20240922_7378447.html

From September 19th to 22nd, the 17th International Clostridium Conference was held in Qingdao, hosted by the International Clostridium Conference Organizing Committee, supported by the Bioenergy Research Laboratory of Qingdao Institute of Energy, the Key Laboratory of Solar Photovoltaic Conversion and Utilization, Shandong Energy Research Institute, and Qingdao New Energy Shandong Provincial Laboratory, and co-organized by the One Carbon Biotechnology Research Center and Green Carbon Editorial Department.

Since 1990, the International Clostridium Conference has been held every two years, and this Clostridium Conference is the second time to be held in China. On the afternoon of the 19th, the executive chairman of the conference, Researcher Li Fuli, director of the One Carbon Biotechnology Research Center, announced the opening of the conference. Director Lv Xuefeng delivered a speech on behalf of the Qingdao Institute of Energy and introduced the construction and development of the institute to the delegates.

This conference invited about 150 scholars and guests from domestic and foreign academic and business circles to attend the conference, including more than 50 foreign experts from Germany, the United States, France, South Korea, the United Kingdom, Italy and other countries. The conference was divided into four parts according to the topic direction: physiology and systems biology, genetics and synthetic biology, metabolic engineering and raw material utilization, industry and new applications. More than 40 oral speakers shared the latest research results with the participants, discussed future research directions, and exchanged problems and challenges encountered in Clostridium research and industrialization engineering.

As a valuable platform for scientific exchange and cooperation, this conference will further promote the development of Clostridium research. At the same time, the successful holding of this conference is of great significance to enhancing the influence of the institute in the field of Clostridium research. (Text/Photo by Ma Xiaoqing)

more insights

A humanoid robot training center in Qingdao improves robot efficiency

https://en.people.cn/n3/2026/0324/c90000-20439477.html

At the Qingdao Humanoid Robot Data Training Center in Laoshan District of Qingdao, humanoid robots are trained for jobs such as intelligent industrial manufacturing, smart home, and commercial services. Data collectors here control robots to complete specific tasks like logistics sorting, supermarket restocking, kitchen operations, and component assembly. Through thousands of repetitions and trials, massive amounts of motion data are generated, endowing robots with a smarter “intelligent brain,” and helping humanoid robots enter all walks of life to serve thousands of households.

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.

Back to …

青岛 Qingdao
a hub for S&T