Fast, cross cultivar determination of total carotenoids in intact carrot tissue by Raman spectroscopy and Partial Least Squares calibration

Lawaetz, Anders J.; Christensen, Steffan Wittrup; Clausen, Sabine K.; Jørnsgaard, Bjarne; Rasmussen, Søren K.; Andersen, S. B.; Rinnan, Åsmund

doi:10.1016/j.foodchem.2016.02.107

Cited by 18 publications

(8 citation statements)

References 30 publications

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“…Critical moisture (Mc) is not a property of the food but depends on the ease of movement of moisture through the solid, the porosity of the food structure [51] and the drying Urrea et al [44] reported that the loss of carotenoids depends on the drying temperature to which the carrot samples are exposed. In the carotenoids, where β-carotene, the main component of carrots, is found, it is usually in a concentration of 45 to 80% [45], and they are relatively stable when drying takes place at low temperatures (40 to 60 • C) but are very sensitive to higher temperatures (70 to 90 • C) [46,47]. Moreover, Sun et al [48] reported, using a heat pump assisted convective dryer, and Zielinska & Markowski [49], employing a fluidized bed dryer, concluded that the highest retention of β-carotene in carrot drying was observed at temperatures of 40 • C, 50 • C and 60 • C, reaching 81.8%, 77.9% and 73.0%, respectively.…”

Section: Drying Rate Curvementioning

confidence: 99%

Drying of Carrot Strips in Indirect Solar Dehydrator with Photovoltaic Cell and Thermal Energy Storage

Mezquita

Bugueño-Muñoz

2022

Sustainability

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Minimizing agricultural losses, accompanied by employing technologies capable of taking advantage of solar energy, are the current challenges of the Antofagasta region of Chile due to having an average solar irradiance of 7.2 kWh/m2 per day. With this objective, using an indirect solar dryer with storage of thermal energy in the form of sensible heat, the effect of drying on the quality of carrot strips was studied using chromatic coordinates CIEL*a*b*, the color difference (ΔE), the relationship between redness/yellowness (R = a*/b*), browning index (BI), whiteness index (WI), chroma (C), hue angle (h°) and drying kinetics. The experimental drying data were fitted to 15 typically employed nonlinear regression models. The ΔE = 14.11 ± 0.14 between the carrots in the dry and fresh conditions represented a detectable color change, the R ratio increased from 0.75 to 0.89, the BI index decreased from 209.82 ± 0.62 to 148.38 ± 0.26 and the WI index increased from 24.5 ± 0.11 to 31.8 ± 0.17, indicating color affectations due to the process. The coefficients of determination, (R2) close to 1 and the values closest to 0 of χ2, SSE and RMSE, led to the best fit corresponding to the Weibull distribution model. In addition, it was found that the operation of the drying installation in the hours without incident solar radiation maintained the drying temperature values throughout the process.

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Section: Drying Rate Curvementioning

confidence: 99%

Drying of Carrot Strips in Indirect Solar Dehydrator with Photovoltaic Cell and Thermal Energy Storage

Mezquita

Bugueño-Muñoz

2022

Sustainability

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“…[8,10] Raman and MIR spectroscopy have not been studied to the same extent, in part due to historical limitations in sources and detectors. Raman spectroscopy has been used to look at carotenoids in plant material, [14] juices, [15] carrots, [16,17] and tomatoes. [15,[18][19][20][21] There have also been a number of studies that target the coloured pigments in plant-based products (such as olive oil [22] ) utilising the effect of resonance Raman spectroscopy to increase sensitivity for compounds such as anthocyanin and β-carotene.…”

Section: Introductionmentioning

confidence: 99%

Vibrational spectroscopy and chemometrics for quantifying key bioactive components of various plum cultivars grown in New Zealand

McIntyre

Burritt

et al. 2020

J Raman Spectroscopy

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Raman, near‐infrared, and mid‐infrared (MIR) spectroscopic techniques were evaluated for the potential to non‐destructively quantify bioactive compounds in commercially grown New Zealand plums. These spectroscopic data sets were qualitatively assessed using principal component analysis where groupings based on the cultivar and growing location were observed. The different techniques separated based on different compositional differences. Four cultivars grown in two different growing locations were assessed for total anthocyanin content, vitamin C content, phenolic content, and total antioxidant capacity. These parameters (measured using traditional methods) were correlated to the spectroscopic data using partial least squares regression and support vector machine (SVM) classification where appropriate. Raman and MIR showed the most promise for quantifying vitamin C content, and Raman showed the most promise for quantifying anthocyanin content. Some parameters were better suited to classification, and in this regard, Raman spectroscopy provided a robust method for classifying growing location and MIR for cultivar classification.

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“…To dig out more information of spectral data (Deng et al., ), KPCA was applied in the feature extraction of ediphenphos SERS. Partial least squares regression (PLSR) (Keating, Nawaz, Bonnier, & Byrne, ; Lawaetz et al., ), artificial neural network (Seifert, Merk, & Kneipp, ), support vector machine (SVM) (Dong, Weng, Yang, & Liu, ; Li et al., ), and random forest (RF) (Acharjee et al., ) are frequently adopted to develop regression models. Given their simple parameter optimization and excellent regression ability, PLSR (linear regression) and RF (nonlinear regression) were utilized to develop the regression models for the quantitative analysis of ediphenphos in rice.…”

Section: Introductionmentioning

confidence: 99%

Fast and Quantitative Analysis of Ediphenphos Residue in Rice Using Surface‐Enhanced Raman Spectroscopy

Weng

Wang

Dong

et al. 2018

Journal of Food Science

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Fast, cross cultivar determination of total carotenoids in intact carrot tissue by Raman spectroscopy and Partial Least Squares calibration

Cited by 18 publications

References 30 publications

Drying of Carrot Strips in Indirect Solar Dehydrator with Photovoltaic Cell and Thermal Energy Storage

Drying of Carrot Strips in Indirect Solar Dehydrator with Photovoltaic Cell and Thermal Energy Storage

Vibrational spectroscopy and chemometrics for quantifying key bioactive components of various plum cultivars grown in New Zealand

Fast and Quantitative Analysis of Ediphenphos Residue in Rice Using Surface‐Enhanced Raman Spectroscopy

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