D’Agostino, C.; Chillocci, C.; Polli, F.; Surace, L.; Simonetti, F.; Agostini, M.; Brutti, S.; Mazzei, F.; Favero, G.; Zumpano, R. Smartphone-Based Electrochemical Biosensor for On-Site Nutritional Quality Assessment of Coffee Blends. Molecules2023, 28, 5425.
D’Agostino, C.; Chillocci, C.; Polli, F.; Surace, L.; Simonetti, F.; Agostini, M.; Brutti, S.; Mazzei, F.; Favero, G.; Zumpano, R. Smartphone-Based Electrochemical Biosensor for On-Site Nutritional Quality Assessment of Coffee Blends. Molecules 2023, 28, 5425.
D’Agostino, C.; Chillocci, C.; Polli, F.; Surace, L.; Simonetti, F.; Agostini, M.; Brutti, S.; Mazzei, F.; Favero, G.; Zumpano, R. Smartphone-Based Electrochemical Biosensor for On-Site Nutritional Quality Assessment of Coffee Blends. Molecules2023, 28, 5425.
D’Agostino, C.; Chillocci, C.; Polli, F.; Surace, L.; Simonetti, F.; Agostini, M.; Brutti, S.; Mazzei, F.; Favero, G.; Zumpano, R. Smartphone-Based Electrochemical Biosensor for On-Site Nutritional Quality Assessment of Coffee Blends. Molecules 2023, 28, 5425.
Abstract
This work aimed to develop an easy-to-use smartphone-based electrochemical biosensor to quickly assess coffee blend's total polyphenol (Phs) content at industrial and individual level. The device is based on a commercial carbon-based screen-printed electrode (SPE) modified with multi-walled carbon nanotubes (CNTs) and gold nanoparticles (GNPs). At the same time, the biotransducer, Laccase from Trametes versicolor, TvLac, was immobilized on the sensor surface by using glutaraldehyde (GA) as cross-linking agent. The platform was electrochemically characterized to ascertain the influence of the SPE surface modification on its performance. The working electrode (WE) surface morphology characterization was obtained by scanning electron microscopy (SEM) and Fourier-transform infrared (FT-IR) imaging. All the measurements were carried out with a micro-potentiostat Sensit Smart by PalmSens connected to a smartphone. The developed biosensor provided a sensitivity of 0.12 μA/μM, a linear response ranging from 5 to 70 μM, and a lower detection limit (LOD) of 2.99 μM. Afterwards, the biosensor was tested for quantifying the total Phs content in coffee blends, evaluating the influence of both the variety and the roasting degree. The smartphone-based electrochemical biosensor performance has been validated though the Folin-Ciocâlteu standard method.
Chemistry and Materials Science, Analytical Chemistry
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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