Portable platform for smartphone-enabled arsenic detection using hydride generation and a silver-based metal-organic framework sensor
A portable sensor device was developed for on-site detection of arsenic (As(III)) using the hydride generation technique. The 3D-printed millifluidic device includes two zones: one for sample preparation and another for detection. The sensor zone consists of a silver-based metal-organic framework (Ag-MOF) immobilized with a polyvinylidene fluoride (PVDF) coating on a 3D-printed lid. The arsenic hydride (AsH 3 ) generated in the sample preparation well reacts with the immobilized Ag-MOF, generating silver nanoparticles (AgNPs) that cause the color change from white to dark brown. Visual detection and colorimetric quantification were performed using a 3D-printed portable photo box with LED light panels, a smartphone for image capture, and ImageJ software for RGB analysis. The system required only 1 mL of sample and 5 min for the color reaction. Under optimal conditions, the method exhibited good linearity in two concentration ranges: 20–100 µg L −1 (low range) and 100–500 µg L −1 (high range). The detection limit (LOD) was 10 µg L −1 , and the quantification limit (LOQ) was 20 µg L −1 . Precision, expressed as relative standard deviation (RSD), ranged from 12.9 % to 9.5 %, with recoveries between 91 % and 104 % in milk and groundwater samples. Results were validated against ICP-OES and assessed using the AGREE and BAGI metric tools, confirming the method’s sustainability and practicality. • Portable system for on-site As(III) determination using 3D-printed devices. • Low-cost, rapid, user-friendly method with minimal reagent and sample volumes. • Validated against ICP-OES for accurate As(III) detection in water and milk. • Sustainable solution for real-time arsenic monitoring in food and environmental samples.
Authors
- Luis M. de la Maza (ORCID: https://orcid.org/0000-0002-6183-7053)
- Edwin Palacio (ORCID: https://orcid.org/0000-0001-7943-9814)
- M.A. Vargas-Muñoz (ORCID: https://orcid.org/0000-0001-7263-7500)
Institutions
- Universitat de les Illes Balears (ES)
Publication Details
- Journal
- Sensors and Actuators B Chemical
- Published
- 2025-09-27
- DOI
- https://doi.org/10.1016/j.snb.2025.138829
- Citations
- 5
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 4.03