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An insight into the thin-layer diffusion phenomena within a porous electrode: Gallic acid at a single-walled carbon nanotubes-modified electrode. J Electroanal Chem (Lausanne) 2022. [DOI: 10.1016/j.jelechem.2021.116008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Haque MA, Morozova K, Ferrentino G, Scampicchio M. Electrochemical Methods to Evaluate the Antioxidant Activity and Capacity of Foods: A Review. ELECTROANAL 2021. [DOI: 10.1002/elan.202060600] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Affiliation(s)
- Md Azizul Haque
- Faculty of Science and Technology Free University of Bozen-Bolzano Piazza Università 5, 39100 Bozen-Bolzano Italy
- Department of Food Technology and Nutritional Science (FTNS) Mawlana Bhashani Science and Technology University (MBSTU) Tangail 1902 Bangladesh
| | - Ksenia Morozova
- Faculty of Science and Technology Free University of Bozen-Bolzano Piazza Università 5, 39100 Bozen-Bolzano Italy
| | - Giovanna Ferrentino
- Faculty of Science and Technology Free University of Bozen-Bolzano Piazza Università 5, 39100 Bozen-Bolzano Italy
| | - Matteo Scampicchio
- Faculty of Science and Technology Free University of Bozen-Bolzano Piazza Università 5, 39100 Bozen-Bolzano Italy
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Moreno M, Sánchez Arribas A, González L, Bermejo E, Zapardiel A, Chicharro M. Flow injection analysis with amperometric detection of polyphenols at carbon nanotube/polyvinylpyrrolidone-modified electrodes as classification tool for white wine varieties. Microchem J 2021. [DOI: 10.1016/j.microc.2020.105836] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
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Liquid Chromatographic Approach for the Discrimination and Classification of Cava Samples Based on the Phenolic Composition Using Chemometric Methods. BEVERAGES 2020. [DOI: 10.3390/beverages6030054] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Phenolic profiles obtained by liquid chromatography with UV/vis detection were here exploited to classify cava samples from the protected designation of origin Cava. Wine samples belonging to various classes which differed in grape varieties, blends and fermentation processes were studied based on profiling and fingerprinting approaches. Hence, concentrations of relevant phenolic acids and chromatograms registered at 310 nm were preliminarily examined by Principal Component Analysis (PCA) to extract information on cava classes. It was found that various hydroxybenzoic and hydroxycinnamic acids such as gallic, gentisic, caffeic or caftaric acids were up- or down-expressed depending on the wine varieties. Additionally, Partial Least Squares Discriminant Analysis (PLS-DA) was applied to classify the cava samples according to varietal origins and blends. The classification models were established using well-known wines as the calibration standards. Subsequently, models were applied to assign unknown samples to their corresponding classes. Excellent classification rates were obtained thus proving the potentiality of the proposed approach for characterization and authentication purposes.
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Sánchez Arribas A, Moreno M, González L, Blázquez N, Bermejo E, Zapardiel A, Chicharro M. A comparative study of carbon nanotube dispersions assisted by cationic reagents as electrode modifiers: Preparation, characterization and electrochemical performance for gallic acid detection. J Electroanal Chem (Lausanne) 2020. [DOI: 10.1016/j.jelechem.2019.113750] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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