{"title":"Portable platform for smartphone-enabled arsenic detection using hydride generation and a silver-based metal-organic framework sensor","authors":"Luz Maza, M.A. Vargas-Muñoz, Edwin Palacio","doi":"10.1016/j.snb.2025.138829","DOIUrl":null,"url":null,"abstract":"<div><div>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<sub>3</sub>) 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<sup>−1</sup> (low range) and 100–500 µg L<sup>−1</sup> (high range). The detection limit (LOD) was 10 µg L<sup>−1</sup>, and the quantification limit (LOQ) was 20 µg L<sup>−1</sup>. 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.</div></div>","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"447 ","pages":"Article 138829"},"PeriodicalIF":3.7000,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensors and Actuators B: Chemical","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0925400525016053","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
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 (AsH3) 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.
期刊介绍:
Sensors & Actuators, B: Chemical is an international journal focused on the research and development of chemical transducers. It covers chemical sensors and biosensors, chemical actuators, and analytical microsystems. The journal is interdisciplinary, aiming to publish original works showcasing substantial advancements beyond the current state of the art in these fields, with practical applicability to solving meaningful analytical problems. Review articles are accepted by invitation from an Editor of the journal.