Sudkate Chaiyo*, Kanjana Kunpatee, Kurt Kalcher, Abdulhadee Yakoh and Kingkan Pungjunun,
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引用次数: 0
Abstract
Portable electrochemical analytical devices such as cholesterol sensors are widely used for disease diagnosis. However, these tools are bulky and require bioreceptors for the specific detection of cholesterol. Herein, a novel 3D electrochemical paper-based analytical device (3D-ePAD) combined with a near-field communication (NFC) potentiostat was developed and applied to the nonenzymatic detection of cholesterol. This 3D-ePAD platform was designed so that all working operations are performed on a single device, which is separated into an origami PAD (oPAD) and an inset PAD (iPAD). β-Cyclodextrin (β-CD), which is immobilized on oPAD, is used as a specific material for the nonenzymatic detection of cholesterol. Through this device, cholesterol detection is integrated with a battery-free NFC potentiostat on a smartphone. The concentration of cholesterol was examined through a [Fe(CN)6]3-/4- current signal as a redox indicator, which was previously stored in the detection part of an iPAD. Under optimal conditions, 3D-ePAD/NFC exhibited a linear detection efficiency of 1–500 μM and a maximum detection limit of 0.3 μM for cholesterol detection. Moreover, the proposed sensor was successfully used to measure cholesterol in real serum samples from humans, and the results were consistent with those of a commercial cholesterol meter. Therefore, the new NFC-operated 3D-ePAD platform can be used as an alternative tool for the nonenzymatic quantification of various biomarkers. In addition, 3D-ePAD/NFC can support the diagnosis of other diseases in the future, as the device is inexpensive, portable, and disposable and functions with low sample volumes.
期刊介绍:
ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.