4.7 Article

Liquid crystal-based sensitive and selective detection of uric acid and uricase in body fluids

期刊

TALANTA
卷 244, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.talanta.2022.123455

关键词

Uric acid; Uricase; Liquid crystal; Sensing platform; Nanoceria; DNA

资金

  1. National Natural Science Foundation of China [81801790]
  2. Shandong Provincial Key Research and Development Program (Major Technological Innovation Project) [2021CXGC010508]
  3. Taishan Scholars Program [tsqn201812088]

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In this study, a liquid crystal-based sensor was developed for the sensitive detection of uric acid and uricase in body fluids, showing potential for clinical analysis.
The abnormal levels of uric acid (UA) in body fluids are associated with gout, type (II) diabetes, leukemia, Lesch-Nyhan syndrome, uremia, kidney damage, and cardiovascular diseases. Also, the presence of uricase (UOx) symbolizes genetic disorders and corresponding complications. Therefore, the detection of UA and UOx in the body fluids is significant for clinical diagnosis. 4-Cyano-4'-pentylbiphenyl (5CB, a nematic liquid crystal (LC)) was doped with octadecyl trimethylammonium bromide (OTAB, a cationic surfactant), which formed a self-assembled monolayer at the aqueous/5CB interface. The UOx-catalyzed oxidation of UA yielded H2O2, releasing the single-strand deoxyribonucleic acid (ssDNA) from the nanoceria/ssDNA complex. The interaction of the released ssDNA with OTAB disrupted the monolayer at the aqueous/5CB interface, which resulted in a dark to bright change when observed through a polarized optical microscope. The LC-based sensor allowed the detection of UA with a linear range of 0.01-10 mu M and a limit of detection (LOD) of 0.001 mu M. The UA detection was also performed in human urine samples and the results were comparable to that of a standard commercial colorimetric method. Similarly, the detection of UOx was performed, with a noted linear range of 20-140 mu g/mL. The LOD was as low as 0.34 mu g/mL. The detection of UOx was also demonstrated in human serum samples with excellent performance. This method provides a robust sensing platform for the detection of UA and UOx and has potential for applications in clinical analysis.

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