Issue 23, 2023

Portable dual-channel blood enzyme analyzer for point-of-care liver function detection

Abstract

Because the liver is an important metabolic center in the human body, the reliability and timeliness of chronic liver disease diagnosis are particularly important. Alanine aminotransferase and aspartate transaminase are the two most important liver function indicators, and their test results are crucial in the diagnosis of liver diseases. However, the simultaneous detection of these two indicators is currently restricted by the need for expensive equipment and complicated detection processes. This study proposes a portable dual-channel blood enzyme analyzer (BEA) for point-of-care-testing. The device uses photometric reflectance to quantify the enzyme concentration by evaluating the reflected light intensity. The BEA also precisely controls and maintains the temperature at 37 °C ± 0.1 °C in the dual-channel assay. We assessed the responses of this system within a clinically relevant range by testing blood samples from a local hospital. The test verified that BEA for ALT and AST achieved a detection limit of 3.5 U L−1 and 4 U L−1, detection range of 4–350 U L−1 and 4–250 U L−1, coefficients of variation (CV) that were both less than 10%, and a linear correlation coefficient of 0.9827 and 0.9714 compared with a high-precision clinical biochemistry analyzer (Roche Cobas C702), respectively. We realized remote data analysis and storage through connection with smartphones, which can be applied to remote diagnostics and preventative personal disease management. Therefore, BEA has broad application prospects in the future internet of medical things.

Graphical abstract: Portable dual-channel blood enzyme analyzer for point-of-care liver function detection

Article information

Article type
Paper
Submitted
21 Aug 2023
Accepted
09 Oct 2023
First published
16 Oct 2023

Analyst, 2023,148, 6020-6027

Portable dual-channel blood enzyme analyzer for point-of-care liver function detection

J. Sang, J. Cheng, H. Hu, K. Liu, J. Guo and J. Guo, Analyst, 2023, 148, 6020 DOI: 10.1039/D3AN01432K

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