Seok Jin Oh, Jung-Ung An, Jun-Hong Park, Eun-Woo Choi, Seong Keun Kim, Seung Gyun Woo, Tae Hyun Kim, Bong Hyun Sung, Seung-Goo Lee, Kil Koang Kwon* and Dae-Hee Lee*,
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This dual strategy improved the signal intensity and broadened the detection range. The best-performing configuration, integrating a high-affinity transporter with fine-tuned genetic components, achieved a detection limit of 1 μM TPA─a 1,000-fold sensitivity improvement over the initial design. We validated the system using PETases, including <i>Ideonella sakaiensis</i>-derived FAST-PETase, and benchmarked it against HPLC assays. The biosensor reliably distinguished PETase variants based on hydrolytic activity, demonstrating its utility for directed evolution, metagenomic screening, and enzyme engineering. This work establishes a rapid, scalable, and ultrasensitive biosensor platform for monitoring PET hydrolysis. The engineered GEB offers a robust, low-cost alternative to conventional analytics, accelerating the discovery and optimization of PET-degrading enzymes for plastic upcycling and circular bioeconomy applications.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":"14 9","pages":"3497–3509"},"PeriodicalIF":3.9000,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A High-Sensitivity Genetically Encoded Biosensor for Terephthalic Acid Detection in PET Degradation\",\"authors\":\"Seok Jin Oh, Jung-Ung An, Jun-Hong Park, Eun-Woo Choi, Seong Keun Kim, Seung Gyun Woo, Tae Hyun Kim, Bong Hyun Sung, Seung-Goo Lee, Kil Koang Kwon* and Dae-Hee Lee*, \",\"doi\":\"10.1021/acssynbio.5c00279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >The accumulation of polyethylene terephthalate (PET) waste poses a serious environmental challenge due to its durability and resistance to degradation. 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A High-Sensitivity Genetically Encoded Biosensor for Terephthalic Acid Detection in PET Degradation
The accumulation of polyethylene terephthalate (PET) waste poses a serious environmental challenge due to its durability and resistance to degradation. Enzymatic PET hydrolysis offers a sustainable solution, but efficient high-throughput screening tools for PET-degrading enzymes remain limited. Here, we report a genetically encoded biosensor (GEB) for terephthalic acid (TPA)─the primary monomer released during PET degradation─that enables rapid and sensitive detection of enzymatic activity. We engineered a TphR-based biosensor in Escherichia coli, combining an optimized transcriptional system with diverse TPA uptake transporters to enhance intracellular TPA accumulation. This dual strategy improved the signal intensity and broadened the detection range. The best-performing configuration, integrating a high-affinity transporter with fine-tuned genetic components, achieved a detection limit of 1 μM TPA─a 1,000-fold sensitivity improvement over the initial design. We validated the system using PETases, including Ideonella sakaiensis-derived FAST-PETase, and benchmarked it against HPLC assays. The biosensor reliably distinguished PETase variants based on hydrolytic activity, demonstrating its utility for directed evolution, metagenomic screening, and enzyme engineering. This work establishes a rapid, scalable, and ultrasensitive biosensor platform for monitoring PET hydrolysis. The engineered GEB offers a robust, low-cost alternative to conventional analytics, accelerating the discovery and optimization of PET-degrading enzymes for plastic upcycling and circular bioeconomy applications.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.