FT-MIR supported Electrical Impedance Spectroscopy based study of sugar adulterated honeys from different floral origin

Das, Chirantan; Chakraborty, Sucharita; Acharya, Krishnendu; Bera, Nirmal Kumar; Chattopadhyay, Dipankar; Karmakar, Anupam; Chattopadhyay, Sanatan

doi:10.1016/j.talanta.2017.05.016

Cited by 50 publications

(34 citation statements)

References 41 publications

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“…In such type of systems, double layer capacitors become significant at very low frequencies, resistive part and the dielectric part of the solution dominates at mid and relatively higher frequency ranges respectively [23][24][25][26].…”

Section: Circuit Analysis Of the Electrical Measurement Set-upmentioning

confidence: 99%

Optical Analysis Authenticated Electrical Impedance Based Quantification of Aqueous Naphthalene

Chattopadhyay¹,

Barman²,

Chakraborty³

et al. 2019

Br J Anal Chem

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Graphical AbstractSchematic representation of the system under investigation and variation of its electrical and optical properties with varying concentration of naphthalene.Polyaromatic hydrocarbons (PAH) are organic compounds with fused benzene rings that have toxic and mutagenic properties, and have been well documented for their detrimental effect on animal and plant health. Naphthalene, a two-ring PAH, is a common water pollutant which has been linked to the disruption of immune system as well as deformation of red blood corpuscles in human and thereby raising substantial concerns. The present study quantitatively estimates naphthalene in its aqueous solution by employing electrical impedance spectroscopy (EIS), which is simultaneously supported by UV-vis spectral analysis. Naphthalene solutions of varying concentrations (0.2-1 ppm) are prepared and subjected to EIS as well as UV-visible spectroscopy. For the EIS based studies, the data is recorded for the frequency range of 1 KHz -1 MHz and electrical parameters such as capacitance, conductance and admittance are observed to increase from 3.5 pF -7.2 pF, 2.3 µS -6.1 µS and 2.4 µS -27.3 µS, Optical Analysis Authenticated Electrical Impedance Based Quantification of Aqueous Naphthalene Article 31 respectively, with varying naphthalene concentration in its solution. On the other hand impedance values are observed to decrease with the same. Naphthalene is itself a non-polar molecule and the formation of instantaneous dipoles originating from the interaction of such molecules governs the overall dielectric nature of the solution. UV-vis spectroscopic measurements of the solutions reveal the characteristic absorbance maxima at 216 nm for all the concentrations under investigation. Absorbance values are observed to increase with the relative strength of naphthalene in the solution and such values vary in the range of 0.02 -0.16 au for the peak obtained. Thus by corroborating the electrical and the optical parameters, this study establishes a quick and handy method for detection of naphthalene in aqueous solutions and ascertains a framework for further work that can be done to formulate a naphthalene sensing device. CONCLUSIONSElectrical parameters including the impedance, admittance, capacitance and conductance of naphthalene solution of varying strength are measured by employing impedance spectroscopy in this study. Formation of instantaneous dipoles in the system is observed to govern the effective dielectric behavior of the naphthalene solution. Spontaneous formation of a dipole induces a polarity in the neighboring non-polar constituent molecules. Increment of the non-polar molecule concentration in the system augments the formation of instantaneous dipoles and hence the effective dipole moment of the system increases. Coefficient of sensitivity in terms of impedance is also calculated for the measuring system, from which a decent change in impedance is observed for a variation of naphthalene concentration of a unit ppm. Spectrophotometric analyses of the solu...

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Section: Circuit Analysis Of the Electrical Measurement Set-upmentioning

confidence: 99%

Optical Analysis Authenticated Electrical Impedance Based Quantification of Aqueous Naphthalene

Chattopadhyay¹,

Barman²,

Chakraborty³

et al. 2019

Br J Anal Chem

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“…Fruit quality evaluation methods combined with multiple detection technologies, therefore, receive significant attention [18,19]. For example, Das et al [20] described a platform for evaluation of honey quality based on electrical impedance spectroscopy (EIS) and Fourier-transform mid-infrared spectroscopy (FT-MIR), which was used to detect the presence of sucrose as an adulterant in honey varieties from different floral origins. Lubinska-Szczygel et al [21] used an electronic nose based on ultrafast gas chromatography and gas chromatography with mass spectrometry to analyze the quality of three citrus fruits.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Peach Fruit Quality Evaluation Method for Grading and Consumption

Zhang

et al. 2020

Applied Sciences

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Featured Application: Based on principal component analysis (PCA), an evaluation and grading model for fresh peaches was developed to provide guidance for the selection of fresh peaches for the consumer market. The approach and findings presented here may be useful for effective evaluation and grading during real-world fruit production; they can potentially improve processing efficiency, reduce costs, and minimize waste in an automated quality evaluation system. Abstract: Peaches are a popular fruit appreciated by consumers due to their eating quality. Quality evaluation of peaches is important for their processing, inventory control, and marketing. Eleven quality indicators (shape index, volume, mass, density, firmness, color, impedance, phase angle, soluble solid concentration, titratable acidity, and sugar-acid ratio) of 200 peach fruits (Prunus persica (L.) Batsch "Spring Belle") were measured within 48 h. Quality indicator data were normalized, outliers were excluded, and correlation analysis showed that the correlation coefficients between dielectric properties and firmness were the highest. A back propagation (BP) neural network was used to predict the firmness of fresh peaches based on their dielectric properties, with an overall fitting ratio of 86.9%. The results of principal component analysis indicated that the cumulative variance of the first five principal components was 85%. Based on k-means clustering analysis, normalized data from eleven quality indicators in 190 peaches were classified into five clusters. The proportion of red surface area was shown to be a poor basis for picking fresh peaches for the consumer market, as it bore little relationship with the comprehensive quality scores calculated using the new grading model.

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“…It is this variability between samples that is key for building spectroscopic fingerprint spectrum and make it possible to track the sample source. Fingerprint spectrum available from Fourier transform mid‐infrared (FT‐MIR) spectra has been united with chemometrics for food quality like tannin characterization (Tondi & Petutschnigg, ), honey adulteration (Das et al, ), camel milk metamorphism (Nagy et al, ), content determination of caffeine and trigonelline (Hagos, Redi‐Abshiro, & Chandravanshi, ), variant screen of short‐chain fructooligosaccharides (scFOS) (Trollope, Nieuwoudt, Görgens, & Volschenk, ), and storage effects on saffron (Ordoudi, de los Mozos Pascual, & Tsimidou, ). Despite the excellent practicability of FT‐MIR spectroscopy, potential flaw of the single data matrix is that it is not enough to represent the entire sample (Borràs et al, ).…”

Section: Introductionmentioning

confidence: 99%

Species discrimination and total polyphenol prediction of porcini mushrooms by fourier transform mid‐infrared (FT‐MIR) spectrometry combined with multivariate statistical analysis

Tao

et al. 2020

Food Science & Nutrition

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The plateau specialty agricultural products, wild porcini mushrooms, have great value both as a superb cuisine and as a potential medication. Due to quality different between species added with the fraud behavior in sales process, make poor quality or poisonous sample inflow into the market, which pose a health risk for consumers, but also disrupted the mushroom market. Traditional analysis way is time‐consuming and laborious. Therefore, the aim of this study is to develop a way using fourier transform mid‐infrared (FT‐MIR) spectrometry and data fusion strategies for the fast and accurate species discrimination and predict amount of total polyphenol in four porcini mushrooms. The t‐distributed stochastic neighbor embedding based on mid‐level data fusion showed two species of Boletus edulis and B. umbriniporus have been identified. The order of correct rate of PLS‐DA models was mid‐level data fusionq (100%) > mid‐level data fusione (97.06%) = mid‐level data fusionv (97.06%) = stipes (97.06%) > low‐level data fusion (94.12%) > caps (91.18%). The order of correct rate of grid‐search support vector machine models was low‐level data fusion (100%) > caps (94.12%) > stipes (91.18%), and the order of particle swarm optimization support vector machine was low‐level data fusion (100%) > caps (97.06%) > stipes (88.24%). The mid‐level data fusionq and low‐level data fusion had best discrimination accuracy (100%) allowing each mushroom classed into its real species, which could be used for accurate discrimination of samples. B. edulis mushrooms had highest total polyphenol, with 14.76 mg/g dw and 17.33 in caps and stipes mg/g dw, respectively. The phenols were easier to accumulate in the caps in Leccinum rugosiceps (1.03) and B. tomentipes (1.19), and the opposite phenomenon is observed in B. edulis (0.85) and B. umbriniporus (0.95). The correlation coefficient and residual predictive deviation of best prediction model were 86.76% and 2.40%, respectively, indicating that that there is good relevance between FT‐MIR and total polyphenol content, which could be used to predict roughly polyphenols content in mushrooms.

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FT-MIR supported Electrical Impedance Spectroscopy based study of sugar adulterated honeys from different floral origin

Cited by 50 publications

References 41 publications

Optical Analysis Authenticated Electrical Impedance Based Quantification of Aqueous Naphthalene

Optical Analysis Authenticated Electrical Impedance Based Quantification of Aqueous Naphthalene

A Comprehensive Peach Fruit Quality Evaluation Method for Grading and Consumption

Species discrimination and total polyphenol prediction of porcini mushrooms by fourier transform mid‐infrared (FT‐MIR) spectrometry combined with multivariate statistical analysis

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