DETERMINATION OF °BRIX, LYCOPENE, β-CAROTENE AND TOTAL CAROTENOID CONTENT OF PROCESSING TOMATOES USING NEAR INFRARED SPECTROSCOPY

A rapid method to quantify the total phenolic content (TPC) and total carotenoid content (TCC) in blackberries using near infrared spectroscopy (NIRS) was carried out aiming to provide reductions in analysis time and cost for the food industry. A total of 106 samples were analysed using the Folin-Ciocalteu method for TPC and a method based on Ultraviolet-Visible Spectrometer for TCC. The average contents found for TPC and TCC were 24.27 mg·g−1 dw and 8.30 µg·g−1 dw, respectively. Modified partial least squares (MPLS) regression was used for obtaining the calibration models of these compounds. The RPD (ratio of the standard deviation of the reference data to the standard error of prediction (SEP)) values from external validation for both TPC and TCC were between 1.5 < RPDp < 2.5 and RER values (ratio of the range in the reference data to SEP) were 5.92 for TPC and 8.63 for TCC. These values showed that both equations were suitable for screening purposes. MPLS loading plots showed a high contribution of sugars, chlorophyll, lipids and cellulose in the modelling of prediction equations.

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Non-destructive Measurement of Total Carotenoid Content in Processed Tomato Products: Infrared Lock-In Thermography, Near-Infrared Spectroscopy/Chemometrics, and Condensed Phase Laser-Based Photoacoustics—Pilot Study

International Journal of Thermophysics ◽

10.1007/s10765-015-1895-2 ◽

2015 ◽

Vol 36 (9) ◽

pp. 2380-2388 ◽

Cited By ~ 2

Author(s):

D. Bicanic ◽

M. Streza ◽

O. Dóka ◽

D. Valinger ◽

S. Luterotti ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Pilot Study ◽

Near Infrared ◽

Carotenoid Content ◽

Total Carotenoid ◽

Total Carotenoid Content ◽

Tomato Products ◽

Lock In ◽

Destructive Measurement ◽

Non Destructive

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Non-destructive determination of β-carotene content in mango by near-infrared spectroscopy compared with colorimetric measurements

Journal of Food Composition and Analysis ◽

10.1016/j.jfca.2014.10.013 ◽

2015 ◽

Vol 38 ◽

pp. 32-41 ◽

Cited By ~ 23

Author(s):

Parika Rungpichayapichet ◽

Busarakorn Mahayothee ◽

Pramote Khuwijitjaru ◽

Marcus Nagle ◽

Joachim Müller

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Carotene Content ◽

Colorimetric Measurements ◽

Non Destructive ◽

Β Carotene

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Near infrared spectroscopy coupled with chemometric algorithms for predicting chemical components in black goji berries (Lycium ruthenicum Murr.)

Journal of Near Infrared Spectroscopy ◽

10.1177/0967033518795597 ◽

2018 ◽

Vol 26 (5) ◽

pp. 275-286 ◽

Cited By ~ 15

Author(s):

Muhammad Arslan ◽

Zou Xiaobo ◽

Hu Xuetao ◽

Haroon Elrasheid Tahir ◽

Jiyong Shi ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Carotenoid Content ◽

Chemical Components ◽

Chemical Compositions ◽

Anthocyanin Content ◽

Total Anthocyanin ◽

Total Carotenoid Content ◽

Chemometric Algorithms

Fourier-transform near infrared spectroscopy coupled with chemometric algorithms was applied comparatively for the quantification of chemical compositions in black wolfberry. The compositional parameters, i.e. total flavonoid content, total anthocyanin content, total carotenoid content, total sugar, and total acid were performed for quantification. Model results were evaluated using the correlation coefficients of determination for calibration (R2) and prediction (r2), root-mean-square error of prediction and residual predictive deviation. The findings revealed that the performances of models based on variable selection such as synergy interval-PLS, backward interval-PLS and genetic algorithm-PLS were better than the classical PLS. The performance of the developed models yielded 0.88 ≤ R2 ≤ 0.97, 0.87 ≤ r2 ≤ 0.94 and 1.75 ≤ RPD ≤ 4.00. The overall results showed that the FT-NIR spectroscopy in conjunction with chemometric algorithms could be used for the quantification of the chemical composition of black wolfberry samples.

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