4.7 Article

Colorimetric biosensor for phenylalanine detection based on a paper using gold nanoparticles for phenylketonuria diagnosis

期刊

MICROCHEMICAL JOURNAL
卷 163, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.microc.2020.105909

关键词

Colorimetric; Phenylalanine; Phenylketonuria; Paper-based; Phenylalanine dehydrogenase; MTT

资金

  1. research Council of University of Tehran

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A colorimetric paper-based biosensor was developed for the sensitive and selective determination of phenylalanine, with the color change indicating the concentration of phenylalanine. The method is easy to operate, provides quick results, has a wide linear range, and can be used for screening PKU in newborns.
In this study, a colorimetric paper-based biosensor was developed for the highly sensitive and selective determination of phenylalanine. Reagents were immobilized onto the paper substrate to form the test paper. The phenylalanine dehydrogenase (PheDH) enzyme reacts specifically with phenylalanine in the presence of NAD(+) to form NADH that reacts with MTT, which is catalyzed by the diaphorase enzyme to form the purple colored formazan. The increase of phenylalanine concentration is proportional to the color intensity and can be monitored by the color change of the dye solution. It was discovered that Au NPs interact with cationic dye (MTT) which causes the enhancement of color intensity. The colored reaction product could be either qualitatively assessed by the naked eye or quantified using a smartphone camera evaluated by the freeware Image J. This paper-based test is easy to operate, and can develop the results within 10 min. After applying the optimal conditions, the linear range for phenylalanine was found to be from 0.8 to 33 (mg/dL) with a detection limit of 0.57 (mg/dL), using the digital image method. Furthermore, analysis of phenylalanine levels in real samples was enabled as a result of the promising detection performance of the developed approach, which could be used as a screening test for PKU in newborns in situations where current approaches cannot be used.

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