TY - JOUR
T1 - Chemometrics-assisted microfluidic paper-based analytical device for the determination of uric acid by silver nanoparticle plasmon resonance
AU - Hamedpour, Vahid
AU - Postma, Geert J.
AU - van Den Heuvel, Edwin
AU - Jansen, Jeroen J.
AU - Suzuki, Koji
AU - Citterio, Daniel
PY - 2018/2/12
Y1 - 2018/2/12
N2 - This manuscript reports on the application of chemometric methods for the development of an optimized microfluidic paper-based analytical device (μPAD). As an example, we applied chemometric methods for both device optimization and data processing of results of a colorimetric uric acid assay. Box–Behnken designs (BBD) were utilized for the optimization of the device geometry and the amount of thermal inkjet-deposited assay reagents, which affect the assay performance. Measurement outliers were detected in real time by partial least squares discriminant analysis (PLS-DA) of scanned images. The colorimetric assay mechanism is based on the on-device formation of silver nanoparticles (AgNPs) through the interaction of uric acid, ammonia, and poly(vinyl alcohol) with silver ions under mild basic conditions. The yellow color originating from visible light absorption by localized surface plasmon resonance of AgNPs can be detected by the naked eye or, more quantitatively, with a simple flat-bed scanner. Under optimized conditions, the linearity of the calibration curve ranges from 0.1–5 × 10−3 mol L−1 of uric acid with a limit of detection of 33.9 × 10−6 mol L−1 and a relative standard of deviation 4.5% (n = 3 for determination of 5.0 × 10−3 mol L−1 uric acid). [Figure not available: see fulltext.]
AB - This manuscript reports on the application of chemometric methods for the development of an optimized microfluidic paper-based analytical device (μPAD). As an example, we applied chemometric methods for both device optimization and data processing of results of a colorimetric uric acid assay. Box–Behnken designs (BBD) were utilized for the optimization of the device geometry and the amount of thermal inkjet-deposited assay reagents, which affect the assay performance. Measurement outliers were detected in real time by partial least squares discriminant analysis (PLS-DA) of scanned images. The colorimetric assay mechanism is based on the on-device formation of silver nanoparticles (AgNPs) through the interaction of uric acid, ammonia, and poly(vinyl alcohol) with silver ions under mild basic conditions. The yellow color originating from visible light absorption by localized surface plasmon resonance of AgNPs can be detected by the naked eye or, more quantitatively, with a simple flat-bed scanner. Under optimized conditions, the linearity of the calibration curve ranges from 0.1–5 × 10−3 mol L−1 of uric acid with a limit of detection of 33.9 × 10−6 mol L−1 and a relative standard of deviation 4.5% (n = 3 for determination of 5.0 × 10−3 mol L−1 uric acid). [Figure not available: see fulltext.]
KW - Box–Behnken design
KW - Microfluidic paper-based analytical device
KW - Partial least squares discriminant analysis
KW - Response surface methodology
KW - Silver nanoparticles
KW - Uric acid
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U2 - 10.1007/s00216-018-0879-z
DO - 10.1007/s00216-018-0879-z
M3 - Article
C2 - 29435632
AN - SCOPUS:85041904606
SN - 0016-1152
SP - 1
EP - 9
JO - Fresenius Zeitschrift fur Analytische Chemie
JF - Fresenius Zeitschrift fur Analytische Chemie
ER -