Infrared Spectroscopy as a Versatile Analytical Tool for the Quantitative Determination of Antioxidants in Agricultural Products, Foods and Plants

Cozzolino, Daniel

doi:10.3390/antiox4030482

Cited by 64 publications

(42 citation statements)

References 65 publications

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“…HPLC technique requires many standards to identify the phenolic compounds peaks in the chromatogram of test sample [19]. FT-IR and Raman Spectroscopy require chemometrics for data analysis and interpretation [20]. F-C assay using UV-VIS is the simplest and economic technique for the measurement of phenolics [21].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Standards and Interfering Compounds in the Determination of Phenolics by Folin-Ciocalteu Assay Method for Effective Bioprocessing of Biomass

Bastola¹,

Guragain²,

Bhadriraju³

et al. 2017

AJAC

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Folin Ciocalteu (F-C) assay is the most widely used and convenient method to determine the total phenolics content in foods, herbs, and other plant extracts. Different phenolics standards such as gallic acid, ferulic acid, chlorogenic acid, catechol, and vanillic acid have been used for calibration curves in this assay method. Comparison of these standards, in single or combination of two or more, for more accurate determination of phenolics has not been reported so far. This study tested five single phenolics and seven combinations of mixed phenolic standards to evaluate the optimal standards for F-C method. The different standards were tested to calculate the phenolic content in three known test solutions. We also evaluated interference effect of various compounds in phenolics estimation by F-C method that is usually present in the lignocellulosic biomass-derived sugar solution, and in food products along with phenolics. Finally, the optimal standards with five phenolics were used for the determination of phenolics in alkali pretreated biomass extract. The results indicated that gallic acid was the best standard among the single phenolic compounds and five phenolic compounds solution was the best standard among the mixed phenolic solutions. The presence of glucose, HMF, furfural, and vitamin-B12 did not interfere in phenolic determination; whereas ascorbic acid, tyrosine, formic acid, and acetic acid strongly interfered the results. The results also showed that biomass pelleting process did not affect the generation of phenolics in alkali pretreatment extract.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Standards and Interfering Compounds in the Determination of Phenolics by Folin-Ciocalteu Assay Method for Effective Bioprocessing of Biomass

Bastola¹,

Guragain²,

Bhadriraju³

et al. 2017

AJAC

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“…Due to many health beneficiary phytochemicals, such as flavonoids and isoflavones, saponins, oils, and vitamins, present in soybean seeds in various amounts, the quality and quantification of these nutrients are therefore needed for evaluation of soybean varieties and utilizations. The increasing demands for quality of soybean-derived foods with positive health-beneficial chemicals have created needs for developing fast and efficient analytical methods [1]. Except for traditional techniques for quantifying biologically active compounds in raw materials as well as in processed products, such as high performance liquid chromatography (HPLC) for vitamins and flavonoids and gas chromatography (GC) for fatty acids, some other technologies have been developed [1,3,4].…”

Section: Introductionmentioning

confidence: 99%

“…Numerous constituents in soybean require thorough study before their utilization in industrial processing and daily diet, based on quick and reliable analysis [1,2]. Due to many health beneficiary phytochemicals, such as flavonoids and isoflavones, saponins, oils, and vitamins, present in soybean seeds in various amounts, the quality and quantification of these nutrients are therefore needed for evaluation of soybean varieties and utilizations.…”

Section: Introductionmentioning

confidence: 99%

Analysis of multiple soybean phytonutrients by near-infrared reflectance spectroscopy

Zhang

et al. 2017

Anal Bioanal Chem

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Improvement of the nutritional quality of soybean is usually facilitated by a vast range of soybean germplasm with enough information about their multiple phytonutrients. In order to acquire this essential information from a huge number of soybean samples, a rapid analytic method is urgently required. Here, a nondestructive near-infrared reflectance spectroscopy (NIRS) method was developed for rapid and accurate measurement of 25 nutritional components in soybean simultaneously, including fatty acids palmitic acid, stearic acid, oleic acid, linoleic acid, and linolenic acid, vitamin E (VE), α-VE, γ-VE, δ-VE, saponins, isoflavonoids, and flavonoids. Modified partial least squares regression and first, second, third, and fourth derivative transformation was applied for the model development. The 1 minus variance ratio (1-VR) value of the optimal model can reach between the highest 0.95 and lowest 0.64. The predicted values of phytonutrients in soybean using NIRS technology are comparable to those obtained from using the traditional spectrum or chemical methods. A robust NIRS can be adopted as a reliable method to evaluate complex plant constituents for screening large-scale samples of soybean germplasm resources or genetic populations for improvement of nutritional qualities. Graphical Abstract ᅟ.

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“…The application of infrared spectroscopy combined with chemometrics for determination of the antioxidant contents and antioxidant capacity has been recently reviewed (Cozzolino 2015;Lu and Rasco 2011).…”

Section: Introductionmentioning

confidence: 99%

“…The vibrational spectra in the near-(NIR) and mid-infrared (MIR) ranges provide structural information about the organic components and thus are used for quantifying both major and minor food constituents (Cozzolino 2015;Nicolaï et al 2007). Depending on the complexity of the food matrix, chemical character, and concentration of the analyte, the sensitivity of these techniques to minor constituents may be quite low.…”

Section: Introductionmentioning

confidence: 99%

Screening of Antioxidant Properties of the Apple Juice Using the Front-Face Synchronous Fluorescence and Chemometrics

et al. 2016

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Fluorescence spectroscopy is gaining increasing attention in food analysis due to its higher sensitivity and selectivity as compared to other spectroscopic techniques. Synchronous scanning fluorescence technique is particularly useful in studies of multi-fluorophoric food samples, providing a further improvement of selectivity by reduction in the spectral overlapping and suppressing light-scattering interferences. Presently, we study the feasibility of the prediction of the total phenolics, flavonoids, and antioxidant capacity using front-face synchronous fluorescence spectra of apple juices. Commercial apple juices from different product ranges were studied. Principal component analysis (PCA) applied to the unfolded synchronous fluorescence spectra was used to compare the fluorescence of the entire sample set. The regression analysis was performed using partial least squares (PLS1 and PLS2) methods on the unfolded total synchronous and on the single-offset synchronous fluorescence spectra. The best calibration models for all of the studied parameters were obtained using the PLS1 method for the single-offset synchronous spectra. The models for the prediction of the total flavonoid content had the best performance; the optimal model was obtained for the analysis of the synchronous fluorescence spectra at Δλ = 110 nm (R 2 = 0.870, residual predictive deviation (RPD) = 2.7). The optimal calibration models for the prediction of the total phenolic content (Δλ = 80 nm, R 2 = 0.766, RPD = 2.0) and the total antioxidant capacity (Δλ = 70 nm, R 2 = 0.787, RPD = 2.1) had only an approximate predictive ability. These results demonstrate that synchronous fluorescence could be a useful tool in fast semiquantitative screening for the antioxidant properties of the apple juices.

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Infrared Spectroscopy as a Versatile Analytical Tool for the Quantitative Determination of Antioxidants in Agricultural Products, Foods and Plants

Cited by 64 publications

References 65 publications

Evaluation of Standards and Interfering Compounds in the Determination of Phenolics by Folin-Ciocalteu Assay Method for Effective Bioprocessing of Biomass

Evaluation of Standards and Interfering Compounds in the Determination of Phenolics by Folin-Ciocalteu Assay Method for Effective Bioprocessing of Biomass

Analysis of multiple soybean phytonutrients by near-infrared reflectance spectroscopy

Screening of Antioxidant Properties of the Apple Juice Using the Front-Face Synchronous Fluorescence and Chemometrics

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