Discrimination of Beers by Cyclic Voltammetry Using a Single Carbon Screen‐printed Electrode

Roselló, Adam; Serrano, Núria; Dı́az-Cruz, José Manuel; Ariño, Cristina

doi:10.1002/elan.202060515

Cited by 11 publications

(5 citation statements)

References 37 publications

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“…Indeed, the use of SVM-DA for beer classification is successfully described in the literature as differentiation of geographical origin 24 and authentication of Trappist beers 25 . Moreover, in accordance 12 , also found that SVM-DA led to lower (5.3%) classification error than PLS-DA (23.6%) when discriminating among beers with distinct fermentations using a carbon SPE and cyclic voltammetry.…”

Section: Resultssupporting

confidence: 76%

A single screen-printed electrode in tandem with chemometric tools for the forensic differentiation of Brazilian beers

Mutz

Rosário

Silva

et al. 2022

Sci Rep

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In the present study a single screen-printed carbon electrode (SPCE) and chemometric techniques were utilized for forensic differentiation of Brazilian American lager beers. To differentiate Brazilian beers at the manufacturer and brand level, the classification techniques: soft independent modeling of class analogy (SIMCA), partial least squares regression discriminant analysis (PLS-DA), and support vector machines discriminant analysis (SVM-DA) were tested. PLS-DA model presented an inconclusive assignment ratio of 20%. On the other hand, SIMCA models had a 0 inconclusive rate but an sensitivity close to 85%. While the non-linear technique (SVM-DA) showed an accuracy of 98%, with 95% sensitivity and 98% specificity. The SPCE-SVM-DA technique was then used to distinguish at brand level two highly frauded beers. The SPCE coupled with SVM-DA performed with an accuracy of 97% for the classification of both brands. Therefore, the proposed electrochemicalsensor configuration has been deemed an appropriate tool for discrimination of American lager beers according to their producer and brands.

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Section: Resultssupporting

confidence: 76%

A single screen-printed electrode in tandem with chemometric tools for the forensic differentiation of Brazilian beers

Mutz

Rosário

Silva

et al. 2022

Sci Rep

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“…To further check the real application of this electrochemical sensing platform, N-CPDs@FLBP and AuNPs were applied on the surface of SPE, and further connected to a portable workstation and a smartphone. SPE is widely used due to the characteristics of simple manufacturing, a low price, easy miniaturization, and integration [ 16 , 33 ], and the modified electrode is flexible, meaning it can be bent by 120° ( Figure 4 a).…”

Section: Resultsmentioning

confidence: 99%

Portable Wireless Intelligent Electrochemical Sensor for the Ultrasensitive Detection of Rutin Using Functionalized Black Phosphorene Nanocomposite

Shi

Wang

et al. 2022

Molecules

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To build a portable and sensitive method for monitoring the concentration of the flavonoid rutin, a new electrochemical sensing procedure was established. By using nitrogen-doped carbonized polymer dots (N-CPDs) anchoring few-layer black phosphorene (N-CPDs@FLBP) 0D-2D heterostructure and gold nanoparticles (AuNPs) as the modifiers, a carbon ionic liquid electrode and a screen-printed electrode (SPE) were used as the substrate electrodes to construct a conventional electrochemical sensor and a portable wireless intelligent electrochemical sensor, respectively. The electrochemical behavior of rutin on the fabricated electrochemical sensors was explored in detail, with the analytical performances investigated. Due to the electroactive groups of rutin, and the specific π-π stacking and cation–π interaction between the nanocomposite with rutin, the electrochemical responses of rutin were greatly enhanced on the AuNPs/N-CPDs@FLBP-modified electrodes. Under the optimal conditions, ultra-sensitive detection of rutin could be realized on AuNPs/N-CPDs@FLBP/SPE with the detection range of 1.0 nmol L−1 to 220.0 μmol L−1 and the detection limit of 0.33 nmol L−1 (S/N = 3). Finally, two kinds of sensors were applied to test the real samples with satisfactory results.

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“…Cyclic voltammetry was carried out to obtain information on electroactive compounds in the fresh goat and cow milk samples. This technique was chosen to investigate all electrochemically active substances in milk due to its better reproducibility and more discrimination power than the differential pulse voltammetry (DPV) technique (Rosello et al 2020). During potential scanning in the CV technique, we could obtain information about oxidation (forward scan) and reduction (backward scan) processes from all electroactive species contained in the fresh milk sample.…”

Section: Voltammetric Ngerprints Of Goat Milk and Cow Milkmentioning

confidence: 99%

The detection of goat milk adulteration with cow milk using a combination of voltammetric fingerprints and chemometrics analysis

et al. 2023

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In this study, a novel analytical approach was developed for detecting and predicting adulteration of goat milk with cow milk using a combination of voltammetric ngerprints and chemometrics analysis. The fresh milk samples were obtained from local farmers and analyzed using cyclic voltammetry technique using a glassy carbon electrode as the working electrode and KClO 4 as the supporting electrolyte. The voltammetric ngerprint was obtained from both milk samples and showed an anodic peak between a potential range of 0.40 to 0.75 V vs. Ag/AgCl. This anodic peak is mainly attributed to several electroactive species contained in both milk samples. The current intensities at the potential range of 0 V to + 1 V vs Ag/AgCl were further selected due to the majority of electroactive components in the milk samples having their oxidation potential in this potential range. The current intensities were further pretreated using maximum normalization and submitted to the chemometric tools for multivariate analysis. Orthogonal partial least square-discriminant analysis provided clear discrimination between goat and cow milk. Meanwhile, the prediction of goat milk adulteration with cow milk was achieved using partial least squares regression analysis. These multivariate analysis enabled a satisfactory discrimination and successful model to predict the percentage of cow milk as adulterants in goat milk samples. The demonstrated results revealed that a combination of voltammetric ngerprints and chemometrics tools might offer a low-cost, simple, and rapid analysis which might be possible as a promising method to be developed further for the detection of adulterants.

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Discrimination of Beers by Cyclic Voltammetry Using a Single Carbon Screen‐printed Electrode

Cited by 11 publications

References 37 publications

A single screen-printed electrode in tandem with chemometric tools for the forensic differentiation of Brazilian beers

A single screen-printed electrode in tandem with chemometric tools for the forensic differentiation of Brazilian beers

Portable Wireless Intelligent Electrochemical Sensor for the Ultrasensitive Detection of Rutin Using Functionalized Black Phosphorene Nanocomposite

The detection of goat milk adulteration with cow milk using a combination of voltammetric fingerprints and chemometrics analysis

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