A fully integrated 3D printed platform for sulfite determination in beverages via gas diffusion membrane extraction and digital video treatment. (16th April 2023)

• Record Type: Journal Article
• Authors: Fernandes, Gabriel Martins; Barreto, Diandra Nunes; Batista, Alex Domingues; da Silveira Petruci, João Flávio
• Is Part Of: Food chemistry. Volume 406(2023)
• Publication Date: 2023-04-16
• Subjects: Gas Diffusion Microextraction -- Sulfite -- Food Analysis -- Digital Image Treatment -- Paper-based analytical devices; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2022.135094
• Languages: English
• ISSNs: 0308-8146

Abstract

Highlights: We present a portable device for sulfite quantification in food samples. Sulfite was extracted using the gas diffusion microextraction method. Quantification was performed by the computer-vision-based approach. Video analysis was employed to improve automatization. The analytical platform was fully fabricated using 3D printing technology. Abstract: In this study, we have described a miniaturized, simple, and low-cost device for sulfite determination in beverages by coupling Gas Diffusion Microextraction to paper-based analytical devices. The color change of an acid-base indicator – promoted by the generated gaseous SO2 – impregnated onto the paper surface was monitored in the function of time by video recording using a smartphone. The analytical information was related to the Hue, Saturation, Value (HSV) color space extracted from the video file. The complete analytical platform was built using a 3D printer, allowing the easy fabrication of a low-cost tailored device. Under optimized conditions, a linear relation from 5 to 90 mg L -1 was obtained using 30 µL of the reagent, 1 mL of sample, and 10 min of analysis. The relative standard deviation and the limit of detection were 2.2 % and 1.6 mg L -1, respectively. The method was successfully employed in several beverages, such as juices, soda, and coconut water.