Rapid Assessment of Total Phenolic and Anthocyanin Contents in Grape Juice Using Infrared Spectroscopy and Multivariate Calibration

Caramês, Elem Tamirys dos Santos; Alamar, Priscila Domingues; Poppi, Ronei J.

doi:10.1007/s12161-016-0721-1

Cited by 27 publications

(10 citation statements)

References 38 publications

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“…Fourier transform infrared spectroscopy (FTIR) has demonstrated to be a reliable analytical technique with some advantages over traditional methods, namely rapidity, cost effectiveness, simplicity, nondestructive, almost no preparation of samples and no need of exogenous chemical reagents. Besides, the analytical assays do not generate hazardous wastes and can be used for routine analysis if proper calibrations and validations are developed (Caramês and others ; Hirri and others ). For these reasons, FTIR has been used to determine the concentration of different sugars in chemically complex media (Kwak and others ; Leopold and others ; Blanch and others ).…”

Section: Introductionmentioning

confidence: 99%

A Combined Approach of Infrared Spectroscopy and Multivariate Analysis for the Simultaneous Determination of Sugars and Fructans in Strawberry Juices During Storage

Cassani

Santos

Gerbino

et al. 2017

Journal of Food Science

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FTIR spectroscopy provided a method potentially transferable to the food industry when associated with the multivariate analysis. The robust 21 PLS models defined in this work provided reliable tools for the rapid monitoring of juices' authenticity and/or deterioration. In this regard, FTIR associated to multivariate analysis enabled the determination of different sugars in a single measurement without the need of pure sugars as standards. This experimental simplicity supports the use of FTIR at the production line, and also contributes to save time in determining carbohydrates' composition and stability, in an environmentally friendly way.

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Section: Introductionmentioning

confidence: 99%

A Combined Approach of Infrared Spectroscopy and Multivariate Analysis for the Simultaneous Determination of Sugars and Fructans in Strawberry Juices During Storage

Cassani

Santos

Gerbino

et al. 2017

Journal of Food Science

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“…The IR region between 1542 to 965 cm −1 is referred to as the “fingerprint” region [ 73 , 74 ] because it provides information about functional groups of organic compounds such as sugars, alcohols, and organic acids in the juices [ 73 , 74 ]. This includes various IR bands, including those corresponding to the vibrations of C–O, C–C, C–H and C–N bonds, which occur in this region (indicated in Table 2 ).…”

Section: Resultsmentioning

confidence: 99%

Transepithelial Anti-Neuroblastoma Response to Kale among Four Vegetable Juices Using In Vitro Model Co-Culture System

et al. 2021

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Juicing vegetables is thought to be an anticancer treatment. Support exists for a rank order of anticancer greens (kale > dandelion > lettuce > spinach) based on degrees of bioavailability of different phytochemicals, also offset by some noxious molecules (i.e., calcium-oxalate). We developed a new in vitro transepithelial anti-neuroblastoma model system. The juices were diluted as predicted once in the small intestine. They were applied to apical Caco-2Bbe1 cells atop dividing SH-SY5Y neuroblastoma cells, and changes in transepithelial electrical resistance (TEER) and cell growth were considered with juice spectroscopies. Studied first in monoculture, kale and dandelion were the most cytostatic juices on SH-SY5Ys, lettuce showed no effect, and high (4.2%) spinach was cytotoxic. In co-culture, high (4.2%) kale was quickest (three days) to inhibit neuroblastoma growth. By five days, dandelion and kale were equally robust. Lettuce showed small anti-proliferative effects at five days and spinach remained cytotoxic. Spinach’s cytotoxicity corresponded with major infrared bands indicative of oxalate. Kale juice uniquely induced reactive oxygen species and S-phase cell cycle arrest in SH-SY5Y. The superiority of kale and dandelion was also apparent on the epithelium, because raising TEER levels is considered healthy. Kale’s unique features corresponded with a major fluorescent peak that co-eluted with kaempferol during high performance liquid chromatography. Because the anticancer rank order was upheld, the model appears validated for screening anticancer juices.

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“…It is accepted that bands at 1415-1512 nm, 1650-1750 nm, and 1955-2035 nm are mainly due to phenolic structure, according to the findings of Dykes et al [29]. Similarly, in a research study about total anthocyanins in grape juice using NIR spectroscopy, it was found that the spectral range for these phenolic compounds was 1000-1183 nm [30]. Such bands along with those at around 1450 nm and 1930 nm, corresponding possibly to the O-H stretch and O-H band combination and the H-O-H deformation combination overtones of hydroxyl groups (e.g., due to water or starch) [16,31] were also evident in the near-infrared spectra of the dry OS samples under study.…”

Section: Vnir-swir Exploratory Approachmentioning

confidence: 91%

Rapid Assessment of Anthocyanins Content of Onion Waste through Visible-Near-Short-Wave and Mid-Infrared Spectroscopy Combined with Machine Learning Techniques

et al. 2021

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A sustainable process for valorization of onion waste would need to entail preliminary sorting out of exhausted or suboptimal material as part of decision-making. In the present study, an approach for monitoring red onion skin (OS) phenolic composition was investigated through Visible Near-Short-Wave infrared (VNIR-SWIR) (350–2500 nm) and Fourier-Transform-Mid-Infrared (FT-MIR) (4000–600 cm−1) spectral analyses and Machine-Learning (ML) methods. Our stepwise approach consisted of: (i) chemical analyses to obtain reference values for Total Phenolic Content (TPC) and Total Monomeric Anthocyanin Content (TAC); (ii) spectroscopic analysis and creation of OS spectral libraries; (iii) generation of calibration and validation datasets; (iv) spectral exploratory analysis and regression modeling via several ML algorithms; and (v) model performance evaluation. Among all, the k-nearest neighbors model from 1st derivative VNIR-SWIR spectra at 350–2500 nm resulted promising for the prediction of TAC (R2 = 0.82, RMSE = 0.52 and RPIQ = 3.56). The 2nd derivative FT-MIR spectral fingerprint among 600–900 and 1500–1600 cm−1 proved more informative about the inherent phenolic composition of OS. Overall, the diagnostic value and predictive accuracy of our spectral data support the perspective of employing non-destructive spectroscopic tools in real-time quality control of onion waste.

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Rapid Assessment of Total Phenolic and Anthocyanin Contents in Grape Juice Using Infrared Spectroscopy and Multivariate Calibration

Cited by 27 publications

References 38 publications

A Combined Approach of Infrared Spectroscopy and Multivariate Analysis for the Simultaneous Determination of Sugars and Fructans in Strawberry Juices During Storage

A Combined Approach of Infrared Spectroscopy and Multivariate Analysis for the Simultaneous Determination of Sugars and Fructans in Strawberry Juices During Storage

Transepithelial Anti-Neuroblastoma Response to Kale among Four Vegetable Juices Using In Vitro Model Co-Culture System

Rapid Assessment of Anthocyanins Content of Onion Waste through Visible-Near-Short-Wave and Mid-Infrared Spectroscopy Combined with Machine Learning Techniques

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