3D Printed Microfluidic Device-Based Highly Sensitive and Selective Sensor for Detection of Human Albumin in Urine Samples
摘要
Early diagnosis of disease can greatly reduce the possibility of serious consequences. Chronic kidney disease (CKD) is characterized by a decrease in the kidneys’ capacity to effectively filter blood. It can be caused by a number of underlying illnesses, including high blood pressure, diabetes mellitus, obesity, and heart disease. As a result, a small quantity of the protein albumin May pass through the urine. Here, we present a novel 3D-Printed microfluidic device with two V-channels and an integrated detecting zone in order to perform colorimetric albumin protein detection from urine samples. We have effectively synthesized the copper nanosensor and achieved different optical characteristics and prolonged stability by utilizing Boswellia sacra (BS) extract as a capping and stabilizing agent. Under ideal circumstances, this technique made it possible to precisely quantify bovine serum albumin (BSA). The point of collection device yielded a calibration curve with a range of 10 to 250 μg/mL and a limit of detection (LOD) of 4.48 μg/mL. Copper nanoparticles (CuNPs@BS) showed remarkable albumin selectivity. Additionally, we successfully used this technology to quickly screen urine samples for albumin, attaining recovery percentages using a smartphone camera and a colorimetric method ranging from 92 to 105.7%. The high selectivity, accuracy, and low reagent usage of this colorimetric approach make it potentially useful for on-site albumin detection.
Graphical Abstract