Chapter title |
A Smartphone-Based Colorimetric Reader for Human C-Reactive Protein Immunoassay
|
---|---|
Chapter number | 21 |
Book title |
Biosensors and Biodetection
|
Published in |
Methods in molecular biology, March 2017
|
DOI | 10.1007/978-1-4939-6848-0_21 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6846-6, 978-1-4939-6848-0, 978-1-4939-6846-6, 978-1-4939-6848-0
|
Authors |
A. G. Venkatesh, Thomas van Oordt, E. Marion Schneider, Roland Zengerle, Felix von Stetten, John H. T. Luong, Sandeep Kumar Vashist |
Editors |
Avraham Rasooly, Ben Prickril |
Abstract |
A smartphone-based colorimetric reader (SBCR), comprising a Samsung Galaxy SIII mini, a gadget (iPAD mini, iPAD4, or iPhone 5s) and a custom-made dark hood and base holder assembly, is used for human C-reactive protein (CRP) immunoassay. A 96-well microtiter plate (MTP) is positioned on the gadget's screensaver to provide white light-based bottom illumination only in the specific regions corresponding to the well's bottom. The images captured by the smartphone's back camera are analyzed by a novel image processing algorithm. Based on one-step kinetics-based human C-reactive protein immunoassay (IA), SBCR is evaluated and compared with a commercial MTP reader (MTPR). For analysis of CRP spiked in diluted human whole blood and plasma as well as CRP in clinical plasma samples, SBCR exhibits the same precision, dynamic range, detection limit, and sensitivity as MTPR for the developed IA (DIA). Considering its compactness, low cost, advanced features and a remarkable computing power, SBCR is an ideal point-of-care (POC) colorimetric detection device for the next-generation of cost-effective POC testing (POCT). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 14% |
Other | 3 | 14% |
Lecturer | 2 | 9% |
Unspecified | 2 | 9% |
Researcher | 2 | 9% |
Other | 5 | 23% |
Unknown | 5 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 4 | 18% |
Biochemistry, Genetics and Molecular Biology | 3 | 14% |
Agricultural and Biological Sciences | 2 | 9% |
Unspecified | 2 | 9% |
Medicine and Dentistry | 2 | 9% |
Other | 4 | 18% |
Unknown | 5 | 23% |