Related Experiment Video
Updated: May 24, 2026

08:58
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
Published on: October 17, 2025
Design of a Survival-Fluorescence Cascade Screening Circuit (uFAST) for an Erythritol-Specific BmoR-Based Biosensor
Yuhan Wang1, Tong Wu1, Zixiang Huang1,2
1Key Laboratory of Molecular Medicine and Biotherapy, Aerospace Center Hospital, School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
ACS Synthetic Biology
|May 22, 2026
Summary
We developed a novel biosensor for precise erythritol detection in complex samples. This tool enhances erythritol production and offers a generalizable method for creating specific biosensors.
Area of Science:
- Synthetic Biology
- Biotechnology
- Biosensor Development
Background:
- Accurate erythritol quantification is difficult due to its similarity to other sugars.
- Existing methods lack specificity and speed for complex sample analysis.
Purpose of the Study:
- To engineer a highly specific and sensitive biosensor for erythritol detection.
- To improve erythritol production strains using the developed biosensor platform.
Main Methods:
- Developed a survival-fluorescence cascade screening circuit (uFAST) with a σ54-dependent BmoR-based biosensor.
- Utilized SacB-mediated negative and mCherry-mediated positive selection for mutant isolation.
- Optimized the BmoR protein and coupled it with a VioABCE visual module for quantification.
Main Results:
- Achieved a 6.03-fold increase in GFP output and a 2.09-fold improvement in apparent affinity (Km) for the BmoR biosensor.
- The biosensor accurately quantified erythritol in complex matrices, comparable to HPLC results.
- Identified an improved erythritol production strain yielding 3.51 g/L, a 2.88-fold increase in titer.
Conclusions:
- The uFAST circuit provides a robust framework for developing specific biosensors.
- The engineered biosensor is an efficient tool for erythritol detection and strain improvement in biotechnology.
- This platform facilitates rapid screening and optimization of microbial production systems.
