The study was arranged at the Laboratory of Food and Agricultural Product’s Phytonutrient, Department of Agricultural Product Technology and the Laboratory of Animal Biotechnology, Department of Animal Production Andalas University, Indonesia on from February 2021 to May 2021.
Samples preparation
The dried carrots were made by soft heating of ground fresh carrots at a low temperature (60°C) until the moisture content was about 15%.
Carotene extraction
The extraction of carotene was conducted according
Rifki et al., 2020 with modifications. A 200 mL hexane was applied to 100 g of dried sample. After that, the mixture was homogenized. Maceration was used to extract the carotenoid. The maceration process was supported by the use of an ultrasonic apparatus for 4 h and then proceeded without the use of the sonication method for another 8 h. The liquid phase was isolated from the residue after the mixture was filtered. The maceration process for the residue was repeated every 12 hours until the sample’s color changed from orange to white, indicating that all of the carotene had been removed. The solvent was evaporated with a rotary evaporator until the viscous extract of carotene was obtained.
Thermal degradation of crude carotene extract
Degradation was carried out according to
Hazrulrizawati et al., 2017 with some modification by using a Rancimat 743 apparatus (Herisau, Switzerland) with a temperature range of 80 to 220°C. A 0.5 g of crude carotene extract was weighed and mixed with 4.5 g of glycerol in a 50 mL reaction vessel which was then placed in an electric heating block. The instrument was operated at 140°C with an air flow rate of 7 L/hr. The degradation process lasted 4 hours, with hourly sampling intervals. In a measuring vessel containing 10 mL of ethanol, effluent air containing volatile organic acids, including volatile organic compounds from crude carotene samples, was collected. Until injecting 2 mL of ethanol into the Gas Chromatography-Mass Spectrometer, it was filtered through a 0.2 M polytetrafluoroethylene membrane filter.
Analysis of total carotene
In a 25 mL amber volumetric flask, a viscous extract of 0.1 g was transferred. The volume was filled with hexane and the sample was measured at 446 nm with a UV-VIS Spectrophotometer. The total carotenoid content was calculated using the following formula:
Carotenoids content:
Where
A = Absorbance at 446 nm, 383 = Diffusion coefficient of caroten, V = Value of hexane (mL) and W = Weight of sample (g).
Detection of aromatic volatile compounds
The detection of volatile compound was conducted according to
Syukri et al., 2019 and
Rini et al., 2021 with slight modification. A mass spectrometer (Shimadzu GCMS-QP2010 Ultra, Kyoto, Japan) was used to analyze the volatile compounds formed by crude carotene degradation 10,11. Helium served as the carrier gas. The DB-5 MS capillary column (30 m length, 0.25 mm inner diameter, 0.20 m film thickness, Agilent, USA) was used for matrix separation. The injector temperature was set to 220°C, the column oven temperature was raised from 60°C to 260°C and the detector interface temperature was set to 270°C. The separation was carried out using the following temperature program: the temperature was set to 60°C and held for 4,5 minutes. The temperature was then increased to 130°C at a 5°C min
-1 ramp rate and then to 260°C at a 10°C min
-1 ramp rate. For 2 minutes, the final column temperature was kept at 260°C. With split less injection mode, 1 mL of sample was injected for each sample. A mass spectral library search and a peak area normalization method to compare retention indexes were used to identify compounds. The results of the experiment were validated by repeating it at least three times.
Colour measurement
The carotenes sample were check for colour changes with a
hunterLab.
colorFlex EZ. The measurement referred to the method that described by
Olgunoglu (2013). The measurement was conducted at least three times.
Analytical statistics
All determination’s results are stated as the average of three replicates. Analysis of variance was used to assess statistical significance and the means were compared using Tukey’s test at a 5% level of significance using R 3.3.2. (R Foundation for Statistical Computing).