A colorimetric strategy for quantifying amino acids using E. coli auxotrophs displaying gold-binding proteins
Hee Tae Ahn1, Byung Jo Yu2, Thinh Viet Dang1
1Department of BioNano Technology, Gachon University, 1342 Seongnamdae-ro, Sujeong-gu, Seongnam, Gyeonggi, 13120, Republic of Korea.
Biosensors & Bioelectronics
|November 9, 2025
Summary
A novel cell-based assay quantifies amino acids using engineered bacteria and gold nanoparticles, causing a color change for easy detection. This method accurately measures essential amino acids and detects disease-related levels with high precision.
Area of Science:
- Biotechnology
- Analytical Chemistry
- Microbiology
Background:
- Accurate amino acid quantification is crucial for diagnosing metabolic disorders.
- Existing methods can be complex, time-consuming, or require specialized equipment.
Purpose of the Study:
- To develop a novel, cell-based colorimetric assay for sensitive and specific amino acid quantification.
- To demonstrate the assay's utility in detecting amino acid imbalances associated with inherited metabolic diseases.
Main Methods:
- Engineered *Escherichia coli* auxotrophs displaying gold-binding proteins (GBPs) on their surface were utilized.
- The assay relies on GBP-mediated aggregation of gold nanoparticles (AuNPs), causing a visible color shift.
- Quantitative analysis was performed using absorbance measurements.
Main Results:
- The assay successfully detected ten essential amino acids with high specificity and linearity (R² > 0.96).
- Low detection limits (0.43–1.04 μM) and excellent analytical precision (CV < 4%) were achieved.
- The assay accurately identified elevated amino acid levels in models of phenylketonuria, homocystinuria, and maple syrup urine disease, with high recovery rates (98–102%).
Conclusions:
- This cell-based colorimetric assay offers a sensitive, specific, and quantitative method for amino acid analysis.
- The assay provides a simple, instrument-free readout, making it suitable for various diagnostic and research applications.
- This technology represents a promising platform for accessible amino acid quantification.


