期刊
SENSORS AND ACTUATORS B-CHEMICAL
卷 348, 期 -, 页码 -出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2021.130705
关键词
Portable fluorometer; Smartphone platform; Surfactant; Opisthorchiasis; Cholangiocarcinoma (CCA)
资金
- National Science, Research and Innovation Fund (NSRF), under the Basic Research Fund of Khon Kaen University through Cholangiocarcinoma Research Institute [CARI-BRF64-30]
- National Research Council of Thailand (NRCT) [NRCT5-RSA63003-04]
- Thailand Science Research and Innovation (TSRI) [IRN62W0002]
- Faculty of Medicine, Khon Kaen University [IN64108]
- Center of Excellence for Innovation in Chemistry (PERCH-CIC), Ministry of Higher Education, Science, Research and Innovation
- Center of Excellence for Trace Analysis and Biosensor (TAB-CoE), Prince of Songkla University
- Royal Golden Jubilee Ph.D. Programme [PHD/0078/2560]
- Thailand Center of Excellence in Physics [ThEP-61-PHM-PSU2]
The use of a smartphone-based fluorometer can improve the diagnostic sensitivity of OvAg, providing an excellent diagnostic tool in combination with fluorescent enhancement technology, and showing a good linear relationship with OvAg concentration.
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 nonionic 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.
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