| Literature DB >> 32035315 |
Carlos A R Salamanca-Neto1, Gustavo G Marcheafave2, Jessica Scremin2, Eduardo C M Barbosa3, Pedro H C Camargo3, Robert F H Dekker4, Ieda S Scarminio2, Aneli M Barbosa-Dekker2, Elen R Sartori5.
Abstract
In this work we propose the use of statistical mixture design in the construction of a biosensor device based on graphite oxide, platinum nanoparticles and biomaterials obtained from Botryosphaeria rhodina MAMB-05. The biosensor was characterized by electrochemical impedance spectroscopy. Under optimized experimental parameters by factorial design, the biosensor was applied to the voltammetric determination of chlorogenic acid (CGA) measured as 5-O-caffeoylquinic acid (5-CQA). The biosensor response was linear (R2 = 0.998) for 5-CQA in the concentration range 0.56-7.3 µmol L-1, with limit of detection and quantification of 0.18 and 0.59 µmol L-1, respectively. The new biosensing device was applied to quality control analysis based upon the determination of CGA content in specialty and traditional coffee beverages. The results indicated that specialty coffee had a significantly higher content of CGA. Principal component analysis of the voltammetric fingerprint of brewed coffees revealed that the laccase-based biosensor can be used for their discrimination.Entities:
Keywords: Biosensor architecture; Bothyosphaeria rhodina MAMB-05; Coffee beverages; Platinum nanoparticles; Statistical mixture design; Voltammetric fingerprint
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Year: 2020 PMID: 32035315 DOI: 10.1016/j.foodchem.2020.126306
Source DB: PubMed Journal: Food Chem ISSN: 0308-8146 Impact factor: 7.514