Data and code for "Synthetic cell-free paper biosensors for arsenic contamination in low resource settings"
Year: 2026
Type: dataset
Abstract: ASSESSOR is a cell-free synthetic biology platform for field-deployable arsenic detection. The system integrates an arsenic-responsive transcriptional amplifier, an arsenic reduction module for As(V)-to-As(III) conversion, a portable paper-based colorimetric assay, and a smartphone-assisted image analysis pipeline for quantitative readout. By combining cell-free biosensing with machine-learning-assisted color interpretation, ASSESSOR enables portable, low-cost, and user-friendly arsenic analysis in environmental water samples. Specifically, this repository contains: Plasmids used in this study Source data for the manuscript Machine-learning datasets and codes Smartphone software and the source code The portable detection device and other hardware
Author: Fan, Yi
Institution: Zhejiang University
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7204158686