Trans-aconitic acid from Aspergillus terreus – a new biopesticide and bio-based plasticizer

https://doi.org/10.1016/j.ymben.2023.06.007

https://doi.org/10.1016/j.greenca.2023.08.001

https://www.guanhai.com.cn/p/39 4312.html

Trans-aconitic acid TAA (CAS RN 4023-65-8) is an unsaturated tricarboxylic acid that occurs in various plants. Although it exhibits broad application potential in agriculture, food, biomaterials, and green chemistry, its practical use remains limited. This is primarily because the traditional production processes of plant extraction (from sugar cane)and chemical synthesis (complex and inefficient) cannot achieve large-scale production at a low cost.

Researchers around LU Xuefeng, director of the Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT) under the Chinese Academy of Sciences, have now established a cell factory for the production of TAA based on a genome-edited industrial strain of Aspergillus terreus. Several rounds of metabolic engineering resulted in strains which produced 57 g/L TAA in shake flask cultures. Scale-up to tank fermentations up to 120 kL – in cooperation with Shandong Lukang Pharmaceutical Co., Ltd.– then led to yields of 88 g/L after 100 hours. A simple recovery procedure combining membrane concentration and crystallization provided TAA crystals with a purity of 98.4%. Given its superior nematicidal properties, QIBEBT and Lukang Pharmaceutical are now in the process of registering TAA as a new nematicide biopesticide.

The QIBEBT team has further found that TAA esters (trans-Aconitates) can be used as plasticizers and could replace the ambiguous phthalates widely used in plastic products. Haier Blood Technology Co., a Qingdao-based company, plans to use TAA esters as plasticizers in its PVC-based blood bags and other products.

TAA ester’s wide temperature stability, from -46°C to 120°C, might also find applications in automotive cable materials as they exhibit excellent resistance to high-temperature volatilization and low-temperature brittle cracking.

In summary, biomanufacturing based on smart cells of A. terreus has provided a new material, TAA and TAA esters, which offer exciting application potentials as a biopesticide and a non-toxic bioplasticizer.

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http://english.cas.cn/newsroom/research-news/202604/t20260423_1157877.shtml

https://doi.org/10.1016/j.tibtech.2026.03.017

A team led by the CAS Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT) has developed a new “process ramanomics” platform. This technology enables real-time, data-driven control of biomanufacturing.

The researchers validated their approach in polyhydroxyalkanoate (PHA) fermentation, a key route for biodegradable polyesters used in packaging and medical materials. Powered by machine learning, the platform achieved 99.75% accuracy in distinguishing PHB-producing cells from P34HB-producing ones, and quantified total PHA content and monomer composition at the single-cell level with a median absolute deviation below 3.8%, comparable to traditional gas chromatography.

In a pivotal 5,000-liter industrial fermenter trial, traditional offline testing pointed to harvesting at 28 hours when PHA content registered 66.32%. Process ramanomics, however, revealed a compositional shift invisible to conventional methods: the 4HB monomer ratio was 8.67% at 26 hours (within specification) but climbed to 11.28% by 28 hours, exceeding the compliance limit, demonstrating that earlier termination could safeguard product quality.

The platform’s single-cell resolution also showed that the content of intracellular PHA can vary by more than threefold among individual cells. At 26 hours, population heterogeneity was lowest, with 91.54% of cells producing at high levels and a 4HB composition that was within specification. This confirmed that 26 hours was the optimal harvest window.

The scientists further showed that process ramanomics can be applied to different chassis organisms and products. For example, it can be used for protein synthesis in yeast and lipid synthesis in Rhodococcus. This suggests that process ramanomics could serve as a general-purpose analytics engine for next-generation intelligent bioreactors.

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.

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.

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