Emerging biosensor and assay-enabled high-throughput screening solutions for enzyme and strain engineering

High-throughput screening (HTS) platforms and automated biofoundries have enabled large-scale experimentation in enzyme and microbial strain engineering. Central to HTS are biosensors and assays, which translate biochemical activities into measurable signals, enabling rapid evaluation of cellular and enzymatic performance. Yet despite advancements in high-throughput infrastructure, the limited availability of robust biosensors or assays and the difficulty of integrating them with HTS, particularly with ultra-HTS, remains a major bottleneck. This review highlights recent progress and challenges in applying biosensors- and assays-enabled HTS for enzyme and strain libraries. We discuss strategies for integrating diverse biosensor types, including transcription factors, G protein-coupled receptors, aptamers, fluorogenic RNAs, riboswitches, and colorimetric assays, with HTS to detect a broad range of metabolites and products. We also explore how biosensor-enabled HTS facilitates data generation for machine learning-guided biocatalyst engineering. Collectively, these advances accelerate biocatalyst discovery and drive the next generation of sustainable biomanufacturing.

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Publication Details

Journal
Current Opinion in Biotechnology
Published
2026-01-27
DOI
https://doi.org/10.1016/j.copbio.2026.103439
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
0.00
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article

Emerging biosensor and assay-enabled high-throughput screening solutions for enzyme and strain engineering

Matthew W Chang, Chueh Loo Poh, Dan Zheng, Sheena Chan et al.
Current Opinion in Biotechnology
Microbial Metabolic Engineering and Bioproduction
article

Emerging biosensor and assay-enabled high-throughput screening solutions for enzyme and strain engineering

Matthew W Chang, Chueh Loo Poh, Dan Zheng, Sheena Chan, Jingyun Zhang
article en

Abstract

High-throughput screening (HTS) platforms and automated biofoundries have enabled large-scale experimentation in enzyme and microbial strain engineering. Central to HTS are biosensors and assays, which translate biochemical activities into measurable signals, enabling rapid evaluation of cellular and enzymatic performance. Yet despite advancements in high-throughput infrastructure, the limited availability of robust biosensors or assays and the difficulty of integrating them with HTS, particularly with ultra-HTS, remains a major bottleneck. This review highlights recent progress and challenges in applying biosensors- and assays-enabled HTS for enzyme and strain libraries. We discuss strategies for integrating diverse biosensor types, including transcription factors, G protein-coupled receptors, aptamers, fluorogenic RNAs, riboswitches, and colorimetric assays, with HTS to detect a broad range of metabolites and products. We also explore how biosensor-enabled HTS facilitates data generation for machine learning-guided biocatalyst engineering. Collectively, these advances accelerate biocatalyst discovery and drive the next generation of sustainable biomanufacturing.

Current Opinion in BiotechnologyVol. 98
National University of Singapore (SG), CREATe Centre (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 77%
Microbial Metabolic Engineering and Bioproduction
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