Analysis of coffee adulterated with roasted corn and roasted soybean using voltammetric electronic tongue

Arrieta, Andrés Adolfo Amell; Arrieta, Pedro L.; Mendoza, Jorge M.

doi:10.17306/j.afs.0619

Cited by 8 publications

(11 citation statements)

References 18 publications

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“…These approaches are based on using multiple voltammetric signals and an advanced chemometric treatment to integrate the chemical information. [29][30][31][32][33][34][35][36][37][38][39][40][41][42][43] The first approach to quantify the DA levels in urine utilized a chemometric model (artificial neural network (ANN) [44] ) that was developed by using synthetic buffered samples containing DA, UA, and NE. The utilized ANN model resulted in a root mean square error (RMSE) value of 1.15 µm, a Pearson correlation coefficient (PCC) of 0.97, a LoD value of 4.2 µm, and a limit of quantification (LoQ) value of 13.9 µm; this indicates the feasibility of developing a chemometric model from synthetic samples and utilizing the model to predict DA levels in urine.…”

Section: Introductionmentioning

confidence: 99%

Partially Functional Electrode Modifications for Rapid Detection of Dopamine in Urine

Shukla

Aroosh

Matzafi

et al. 2021

Adv Funct Materials

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Designing functional materials as electrode coatings to transduce high-quality information about redox molecules in biofluids is crucial for developing the next-generation medical devices. Rapidly analyzing the neurotransmitter dopamine (DA) urinary levels can enable point-of-care testing for neuroendocrine tumors. A novel sensing electrodes array modified with biopolymer chitosan and electrocatalytic carbon nanotube films that can generate crossreactive electrochemical signals from complex biofluids, such as undiluted urine, is presented. By generating cross-reactive signals, the feasibility of quantifying DA levels from unprocessed urine samples is demonstrated. The films' electrochemical activity is characterized and modeled the additive effect of the main redox interferants in urine (norepinephrine and uric acid) on the generated electrochemical signals that overlap and mask the electrochemical signature of DA. Finally, the feasibility of successfully quantifying urinary DA levels is demonstrated by investigating two calibration approaches: 1) using a synthetic solution (1.15 µm root mean squared error (RMSE) and 4.2 µm limitof-detection (LoD) values), and 2) directly using the urine samples (2.5 µm RMSE and 9.3 µm LoD values). The outcome of this work will enhance the understanding of the overlapping and masking electrochemical signatures and their interactions with functional materials, providing better analytical tools to differentiate redox molecules in highly complex biofluids.

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Section: Introductionmentioning

confidence: 99%

Partially Functional Electrode Modifications for Rapid Detection of Dopamine in Urine

Shukla

Aroosh

Matzafi

et al. 2021

Adv Funct Materials

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“…They achieved sample discrimination using an electronic tongue equipped with a polypyrrole sensor array, followed by either PCA or cluster analysis. The method was also successfully applied for quantitative analysis by partial least squares regression (Arrieta, Arrieta, and Mendoza 2019;de Morais et al 2019).…”

Section: Voltammetrymentioning

confidence: 99%

Current strategies to guarantee the authenticity of coffee

Pérez

Domínguez-López

López‐Yerena

et al. 2021

Critical Reviews in Food Science and Nutrition

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As they become more health conscious, consumers are paying increasing attention to food quality and safety. In coffee production, fraudulent strategies to reduce costs and maximize profits include mixing beans from two species of different economic value, the addition of other substances and/or foods, and mislabelling. Therefore, testing for coffee authenticity and detecting adulterants is required for value assessment and consumer protection. Here we provide an overview of the chromatography, spectroscopy, and single-nucleotide polymorphism-based methods used to distinguish between the major coffee species Arabica and Robusta. This review also describes the techniques applied to trace the geographical origin of coffee, based mainly on the chemical composition of the beans, an approach that can discriminate between coffee-growing regions on a continental or more local level. Finally, the analytical techniques used to detect coffee adulteration with other foods and/or coffee by-products are discussed, with a look at the practice of adding pharmacologically active compounds to coffee, and their harmful effects on health.

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“…Other forms of adulteration involve the addition of both corn and soybean. Such cases were studied by Arrieta et al and Daniel et al [10,11], who deployed the voltametric electronic tongue and capillary electrophoresis-tandem mass spectrometry, respectively. Although efficient (R 2 of 0.973 and 0.941 for the prediction of corn and soybean in case of etongue), these techniques demand high levels of technicity and relatively lengthy processing.…”

Section: Introductionmentioning

confidence: 99%

NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends

et al. 2022

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Coffee is both a vastly consumed beverage and a chemically complex matrix. For a long time, an arduous chemical analysis was necessary to resolve coffee authentication issues. Despite their demonstrated efficacy, such techniques tend to rely on reference methods or resort to elaborate extraction steps. Near infrared spectroscopy (NIRS) and the aquaphotomics approach, on the other hand, reportedly offer a rapid, reliable, and holistic compositional overview of varying analytes but with little focus on low concentration mixtures of Robusta-to-Arabica coffee. Our study aimed for a comparative assessment of ground coffee adulteration using NIRS and liquid coffee adulteration using the aquaphotomics approach. The aim was to demonstrate the potential of monitoring ground and liquid coffee quality as they are commercially the most available coffee forms. Chemometrics spectra analysis proved capable of distinguishing between the studied samples and efficiently estimating the added Robusta concentrations. An accuracy of 100% was obtained for the varietal discrimination of pure Arabica and Robusta, both in ground and liquid form. Robusta-to-Arabica ratio was predicted with R2CV values of 0.99 and 0.9 in ground and liquid form respectively. Aquagrams results accentuated the peculiarities of the two coffee varieties and their respective blends by designating different water conformations depending on the coffee variety and assigning a particular water absorption spectral pattern (WASP) depending on the blending ratio. Marked spectral features attributed to high hydrogen bonded water characterized Arabica-rich coffee, while those with the higher Robusta content showed an abundance of free water structures. Collectively, the obtained results ascertain the adequacy of NIRS and aquaphotomics as promising alternative tools for the authentication of liquid coffee that can correlate the water-related fingerprint to the Robusta-to-Arabica ratio.

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Analysis of coffee adulterated with roasted corn and roasted soybean using voltammetric electronic tongue

Cited by 8 publications

References 18 publications

Partially Functional Electrode Modifications for Rapid Detection of Dopamine in Urine

Partially Functional Electrode Modifications for Rapid Detection of Dopamine in Urine

Current strategies to guarantee the authenticity of coffee

NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends

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