Development of an ultrasound-enhanced smartphone colorimetric biosensor for ultrasensitive hydrogen peroxide detection and its applications

• Published in: RSC advances Vol. 1; no. 41; pp. 24463 - 24471
• Main Authors: Khachornsakkul, Kawin, Dungchai, Wijitar
• Format: Journal Article
• Language: English
• Published: England Royal Society of Chemistry 26.06.2020; The Royal Society of Chemistry
• Subjects: Analytical chemistry; Biomolecules; Biosensors; Chemistry; Cholesterol; Colorimetry; Diagnostic software; Diagnostic systems; Glucose; Hydrogen peroxide; Hydroxyl radicals; Measurement techniques; Nanoparticles; Oxidation; Peroxidase; Selectivity; Silver; Smartphones; Ultrasonic imaging; Ultrasonic methods; Ultrasonic testing; Uric acid
• ISSN: 2046-2069; 2046-2069
• DOI: 10.1039/d0ra03792c

In this work, we developed the first ultrasound technique enhanced smartphone application for highly sensitive determination of hydrogen peroxide (H 2 O 2 ). The measurement technique is based on the change in color intensity due to the transformation of tetramethylbenzidine (TMB) to oxidized tetramethylbenzidine (oxTMB) by the oxidation process with hydroxyl radical (OH&z.rad;) from the oxidation etching of silver nanoparticles (AgNPs) and its ultrasound usability. The oxTMB product occurs without peroxidase and can be detected with a saturation channel using HSV methodology via the application of a smartphone. To prove the peroxidase mimic property, our proposed method was also validated by determination of certain biomolecules, including glucose, uric acid, acetylcholine and total cholesterol, of which the known amounts are a valuable diagnostic tool. The proposed method provided the lowest limits of detection (LOD) of 2.0, 5.0, 12.50, 7.50, and 10.0 nmol L −1 for H 2 O 2 , glucose, uric acid, acetylcholine, and cholesterol, respectively, when compared with LODs obtained from other smartphone colorimetric methods. Reproducibility was calculated from the detection of H 2 O 2 at 25.0 and 50.0 nmol L −1 with the highest standard deviations of 3.47 and 4.58%, respectively. Additionally, the determination of all analytes in human urine samples indicated recoveries in the range of 96-104% with the highest relative standard deviation of 3.98%, offering high accuracy and precision. Our research shows the novel compatibility of basic technology and chemical methodology with green chemistry principles by reducing a high-power process and organic solvent as well as exhibiting good colorimetric performance and effective sensitivity and selectivity. Thus, our developed method can be applied for point-of-care medical diagnosis. In this work, we developed the first ultrasound technique enhanced smartphone application for highly sensitive determination of hydrogen peroxide (H 2 O 2 ).