Smartphone-based fluorescent ELISA with simple fluorescent enhancement strategy for Opisthorchis viverrini (Ov) antigen detection in urine samples

Autor: Wassana Jamnongkan, Wichit Taron, Panote Thavarungkul, Wittaya Ngeontae, Paiboon Sithithaworn, Narong Khuntikeo, Sasina Sanchimplee, Poramate Klanrit, Kittirat Phooplub, Chittanon Buranachai, Kanitpong Piyanamvanich, Nisana Namwat, Jutarop Phetcharaburanin, Proespichaya Kanatharana, Thidarut Boonmars, Watcharin Loilome, Anchalee Techasen, Sirirat Ouiganon
Rok vydání: 2021
Předmět:
Zdroj: Sensors and Actuators B: Chemical. 348:130705
ISSN: 0925-4005
DOI: 10.1016/j.snb.2021.130705
Popis: Enzyme-linked immunosorbent assay (ELISA) is a new approach for the diagnosis of Opisthorchis viverrini antigen (OvAg) in urine samples. Herein, we demonstrate a portable fluorometer based on the smartphone to use as the point-of-care device for the diagnosis of OvAg in urine samples by fluorescence ELISA. In addition, the detection sensitivity of the fluorescent assay has been improved by a simple strategy using aqueous micelles of the non-ionic surfactant. The combination of a smartphone-based device with fluorescent enhancement provides an excellence tool for the diagnosis of the OvAg in urine samples. The smartphone-based device shows excellent potential for measuring the fluorescence signal comparable with a fluorescence microplate reader. The signal in the green channel (G) of the smartphone representing the emission intensity from the fluorescence ELISA exhibits a good linear relationship with OvAg concentration with an LOD of 33 ng mL−1. The proposed device achieved high diagnostic sensitivity, specificity, and accuracy of 84.88%, 89.66%, and 86.14%, respectively, compared to the measurement by conventional instruments (colorimetric ELISA). The smartphone-based device has been verified for the diagnosis of OvAg in urine samples from an endemic area with excellent results. Therefore, smartphone-based diagnostics is an effective point-of-care device for on-site assay of OvAg detection in urine samples.
Databáze: OpenAIRE