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Development and validation of an impedance biosensor for point-of-care detection of vascular cell adhesion molecule-1 toward lupus diagnostics.
Selvam, Anjan Panneer; Wangzhou, Andi; Jacobs, Michael; Wu, Tianfu; Mohan, Chandra; Prasad, Shalini.
Affiliation
  • Selvam AP; Department of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA.
  • Wangzhou A; Department of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA.
  • Jacobs M; Cognition and Neuroscience, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX 75080, USA.
  • Wu T; Department of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA.
  • Mohan C; Department of Internal Medicine, University of Texas at Southwestern Medical Center, Dallas, TX 75390, USA.
  • Prasad S; Department of Biomedical Engineering, University of Houston, Houston, TX 77204, USA.
Future Sci OA ; 3(3): FSO224, 2017 08.
Article in En | MEDLINE | ID: mdl-28884017
AIM: Systemic lupus erythematosus is an autoimmune disease that requires chronic monitoring. In this study, we demonstrate a proof-of-concept study of a highly attractive noninvasive strategy for monitoring systemic lupus erythematosus through biomarker quantification. RESULTS: This sensor technology requires 50 µl of urine to detect and quantify vascular cell adhesion molecule-1 in 15 min. The sensor used nonfaradaic detection to demonstrate performance with and without detection antibody. Binding of immunoassay and target biomarkers were quantified with an impedance electrical immunoassay and correlated with an equivalent circuit. CONCLUSION: The novel sensor technology demonstrates detection in the range of 8 fg/ml to 800 pg/ml and comparative analysis with ELISA platforms was performed for 12 patient urine samples.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Future Sci OA Year: 2017 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Future Sci OA Year: 2017 Document type: Article Affiliation country: United States Country of publication: United kingdom