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A smartphone-based chloridometer for point-of-care diagnostics of cystic fibrosis.
Zhang, Chenji; Kim, Jimin P; Creer, Michael; Yang, Jian; Liu, Zhiwen.
Afiliação
  • Zhang C; Department of Electrical Engineering, Material Research Institutes, The Pennsylvania State University, University Park, PA 16802, USA.
  • Kim JP; Department of Biomedical Engineering, Materials Research Institutes, the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA.
  • Creer M; Department of Pathology, College of Medicine, The Pennsylvania State University, Hershey, PA 17033, USA.
  • Yang J; Department of Biomedical Engineering, Materials Research Institutes, the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: jxy30@psu.edu.
  • Liu Z; Department of Electrical Engineering, Material Research Institutes, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: zliu@psu.edu.
Biosens Bioelectron ; 97: 164-168, 2017 Nov 15.
Article em En | MEDLINE | ID: mdl-28595077
ABSTRACT
Chloride in sweat is an important diagnostic marker for cystic fibrosis (CF), but the implementation of point-of-care systems for diagnosis is hindered by the prohibitive costs of existing chloride sensors. To enable low cost diagnostic solutions, we recently established a citrate-derived synthesis platform for the development of new fluorescence sensors with high selectivity for chloride. As a next step, we herein designed a smartphone operated chloridometer that optimizes the analytical performance of the citrate-derived sensor materials for the detection of chloride in sweat. The sensor material demonstrated a wide linear range of 0.8-200mM chloride and a diffusion-limited response time; sweat chloride levels corresponded to measurable changes in fluorescence emission that was captured by a smartphone. Clinical validation was performed with sweat from individuals with and without CF, demonstrating convenient sweat diagnostics with reliable detection of cystic fibrosis. To our knowledge, this is the first clinical study of a smartphone-based chloride sensor, paving the way for point-of-care diagnostic systems for CF.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Suor / Técnicas Biossensoriais / Cloretos / Sistemas Automatizados de Assistência Junto ao Leito / Fibrose Cística / Smartphone Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Suor / Técnicas Biossensoriais / Cloretos / Sistemas Automatizados de Assistência Junto ao Leito / Fibrose Cística / Smartphone Idioma: En Ano de publicação: 2017 Tipo de documento: Article