Electrochemical Sensors for Food Adulterants

Irannejad, Neda; Rezaei, Behzad

doi:10.1007/978-981-16-8333-6_4

Cited by 2 publications

(1 citation statement)

References 94 publications

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“…At the same time, still, few works in the literature are focused on food quality evaluation [ 4 ]. Analyzing the characteristics of food products is of crucial importance for the determination of their quality (e.g., pH and temperature standards [ 5 ]), nutritional value (e.g., nutrient levels [ 6 ]), authenticity (e.g., adulterants [ 7 ] detection), and safety (e.g., pathogens, allergens, contaminants detection [ 8 ]).…”

Section: Introductionmentioning

confidence: 99%

Smartphone-Based Electrochemical Biosensor for On-Site Nutritional Quality Assessment of Coffee Blends

D’Agostino,

Chillocci,

Polli

et al. 2023

Molecules

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This work aimed to develop an easy-to-use smartphone-based electrochemical biosensor to quickly assess a coffee blend’s total polyphenols (Phs) content at the industrial and individual levels. 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 biological recognition element, Laccase from Trametes versicolor, TvLac, was immobilized on the sensor surface by using glutaraldehyde (GA) as a 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, the 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. Afterward, 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’s performance was validated through the Folin–Ciocâlteu standard method.

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Section: Introductionmentioning

confidence: 99%

Smartphone-Based Electrochemical Biosensor for On-Site Nutritional Quality Assessment of Coffee Blends

D’Agostino,

Chillocci,

Polli

et al. 2023

Molecules

View full text Add to dashboard Cite

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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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Electrochemical Sensors for Food Adulterants

Cited by 2 publications

References 94 publications

Smartphone-Based Electrochemical Biosensor for On-Site Nutritional Quality Assessment of Coffee Blends

Smartphone-Based Electrochemical Biosensor for On-Site Nutritional Quality Assessment of Coffee Blends

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

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