QIBEBT-led consortium achieves bacterial degradation of PET bottles to provide terephtalic acid in 97% yield

http://english.qibebt.cas.cn/ne/rp/202502/t20250218_902019.html

https://www.sciencedirect.com/science/article/abs/pii/S030438942500353X?via%3Dihub

https://enviromicro-journals.onlinelibrary.wiley.com/doi/10.1111/1751-7915.13580

A research team from the Qingdao Institute of Bioenergy and Bioprocess Technology of the Chinese Academy of Sciences, in collaboration with Nanjing Tech University and Greifswald University, has introduced an innovative solution for the depolymerization of polyethylene terephthalate (PET). This solution utilizes an engineered whole-cell biocatalyst based on the thermophilic bacterium Clostridium thermocellum.

This study builds on prior work, where the research team first demonstrated the concept of whole-cell catalytic PET depolymerization. In that study, the genetically engineered C. thermocellum expressed leaf compost cutinase (LCC) via a plasmid for high-temperature PET depolymerization.

In this study, the researchers integrated LCC directly into the chromosome of C. thermocellum, ensuring stable enzyme expression. They further enhanced the system by introducing LCC variants and co-expressing hydrophobic modules.

By optimizing reaction conditions and controlling pH, the researchers achieved a significant improvement in PET depolymerization efficiency with minimal accumulation of the intermediate product mono(2-hydroxyethyl) terephthalate (MHET).

When tested with pretreated PET bottle particles, about 97% of the added PET was converted into terephthalic acid (TPA), a key monomer used in producing new plastics or high-value chemicals. This high level of performance positions the system as a promising green solution for PET recycling.

Additionally, C. thermocellum is naturally capable of degrading cellulose, making it a potential candidate for directly processing mixed textile waste that contains cotton fibers and PET.

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Researchers from the CAS Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT), together with collaborators, have developed a Raman-activated cell sorting platform that combines rapid cell sorting with sensitive measurements of weak Raman signals and small-volume cell collection.

Called Pit-RACS, the optical-tweezer-assisted platform operates in two modes on the same microfluidic chip, allowing researchers to adjust the sorting strategy according to the strength of the Raman signal.

Raman-activated cell sorting can identify living cells by their chemical fingerprints without fluorescent labels. Yet researchers have faced a trade-off: fast, flowing systems struggle to measure weak Raman signals, while systems that allow longer measurements sort cells slowly. Collecting the selected cells in a large volume can also make subsequent experiments difficult.

According to the researchers, cells with strong resonance Raman signals are measured and sorted as they flow through the device. In this mode, they sorted up to 836 ± 1 events per minute with a 10-millisecond spectral acquisition time.

For weaker non-resonance signals, optical tweezers move individual cells into a cell-free buffer stream. This allows for longer measurements without interference from nearby cells. This method sorted approximately 50 cells per minute. Switching modes requires no hardware changes.

The platform can also temporarily store selected cells and release them together in approximately 10 microliters of liquid. In the reported tests, the collected cells were over 97% pure and could proceed to cultivation or genomic analysis without an additional concentration step.

“Raman signals vary greatly between biological targets. We designed the two modes so researchers can choose the measurement time their question requires while using the same sorting platform,” said Prof. MA Bo, corresponding author of the study.

To demonstrate industrial strain screening, the researchers sorted a mutant library of Yarrowia lipolytica and identified a strain with 77.4% higher β-carotene yield than the control. In another demonstration, they combined heavy-water labeling with Pit-RACS to enrich phosphate-solubilizing microorganisms from river water. They used the concentrated output directly for metagenomic sequencing, revealing 12 species of phosphate-solubilizing bacteria across nine genera.

https://j.people.com.cn/n3/2026/0818/c95952-20489791.html

https://www.recordchina.co.jp/b990111-s50-c20-d0189.html

On August 17, 2026, at  Shanghai’s Yangshan Port 8,000 tons of green methanol were used to refuel a cargo ship owned by the French shipping giant CMA CGM.

Green methanol is a key alternative fuel for reducing carbon emissions in sectors such as shipping and the chemical industry. According to Zhu Zhaokai, President of Shanghai Electric Group, this large-scale green methanol refueling operation demonstrates that China has established a complete industrial chain—spanning from large-scale production and onshore/maritime storage and transport to port-side refueling and shipboard utilization and will help drive the global shipping industry toward zero emissions.

The green methanol fuel supplied in this operation was primarily produced at Shanghai Electric’s “Integrated Demonstration Project for Wind Power and Biomass-Combined Green Methanol” in Taonan City, Jilin Province. The production process makes use of various resources, fully utilizing biomass materials—such as corn stalks from Taonan City—and green hydrogen generated from wind power.

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