APS March Meeting 2024
Monday–Friday, March 4–8, 2024;
Minneapolis & Virtual
Session F40: DFD I
8:00 AM–11:00 AM,
Tuesday, March 5, 2024
Room: 103F
Sponsoring
Unit:
DFD
Chair: Anushka Anushka, IIT Kharagpur
Abstract: F40.00001 : Paper-based device to detect adulterants in milk sample*
8:00 AM–8:12 AM
Abstract
Presenter:
Anushka Anushka
(IIT Kharagpur)
Authors:
Anushka Anushka
(IIT Kharagpur)
Prasanta Kumar Das
(IIT Kharagpur)
Aditya Bandopadhyay
(IIT Kharagpur)
Collaborations:
Anushka, Prasanta Kumar Das, Aditya Bandopadhyay
Milk adulteration poses a significant concern in both developed and developing countries due to its potential to cause severe health issues in consumers. While various studies have focused on identifying individual adulterants in milk samples, the combined effects of various adulterants in one go remain largely unexplored. This research introduces a novel approach utilizing a paper-based automatic device, that works on the principle of microfluidics, designed and developed to identify numerous adulterants in milk samples simultaneously. This device works on the principle of capillarity action within porous material. It uses the ability of the porous substrate to retain and transport fluid. This is a three-dimensional product consisting of a top disc, a middle disc, and a bottom disc containing multiple detection and transportation zones. The implementation of cuts on the middle layer's support ensures an optimized and uniform flow path within the device. For the first time, this microfluidic device can detect seven different present in milk samples, while also evaluating their specificity and conducting detailed color interference analysis. Remarkably, this innovative device requires only 1-2 mL of milk sample volume to detect all seven adulterants simultaneously. The colorimetric reaction, employed for detecting the adulterants yielded results within a few seconds. The limit of detection (LOD) for adulterants ranges from 2-5 percent by volume through the colorimetric detection method. The unknown quantities of poured adulterants are quantified using calibration curves derived from experimental results. Along with a statistical analysis of color intensity data, the study analyzes the repeatability, reproducibility, sensitivity, and linear range of detection of the detection process. This user-friendly and portable 3D microfluidic device presents a simple solution for detecting adulterants in milk and other liquid food items. It offers a promising approach for resource-limited settings, allowing for the convenient and reliable testing of food products before consumption. This innovative technology has the potential to significantly mitigate the risks associated with milk adulteration and enhance food safety standards in regions where such issue persists.
*IIT kharagpur