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 0.8–200 mM 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.
Original language | English (US) |
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Pages (from-to) | 164-168 |
Number of pages | 5 |
Journal | Biosensors and Bioelectronics |
Volume | 97 |
DOIs | |
State | Published - Nov 15 2017 |
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All Science Journal Classification (ASJC) codes
- Biotechnology
- Biophysics
- Biomedical Engineering
- Electrochemistry
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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.
In: Biosensors and Bioelectronics, Vol. 97, 15.11.2017, p. 164-168.Research output: Contribution to journal › Article
TY - JOUR
T1 - A smartphone-based chloridometer for point-of-care diagnostics of cystic fibrosis
AU - Zhang, Chenji
AU - Kim, Jimin P.
AU - Creer, Michael
AU - Yang, Jian
AU - Liu, Zhiwen
PY - 2017/11/15
Y1 - 2017/11/15
N2 - 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 0.8–200 mM 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.
AB - 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 0.8–200 mM 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.
UR - http://www.scopus.com/inward/record.url?scp=85020314566&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85020314566&partnerID=8YFLogxK
U2 - 10.1016/j.bios.2017.05.048
DO - 10.1016/j.bios.2017.05.048
M3 - Article
C2 - 28595077
AN - SCOPUS:85020314566
VL - 97
SP - 164
EP - 168
JO - Biosensors and Bioelectronics
JF - Biosensors and Bioelectronics
SN - 0956-5663
ER -