Method for predicting content of beta-carotene and total content of carotenoids in yellow peach pulp correlated with color difference

A technology of carotene and yellow-fleshed peach fruit, applied in the direction of color/spectral characteristic measurement, measuring devices, instruments, etc., can solve the problems of high purchase cost, unfavorable content, expensive instruments, etc., achieve high accuracy, and the calculation method is simple and fast predicted effect

Inactive Publication Date: 2017-08-08
JIANGSU ACAD OF AGRI SCI
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the HPLC method is mostly used for the analysis of carotenoid components in yellow flesh peach. The instruments used in this method are expensive, the purchase cost of standard products is high, and the sample processing and determination methods are complicated to operate, which is not conducive to quickly determining its content.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for predicting content of beta-carotene and total content of carotenoids in yellow peach pulp correlated with color difference
  • Method for predicting content of beta-carotene and total content of carotenoids in yellow peach pulp correlated with color difference
  • Method for predicting content of beta-carotene and total content of carotenoids in yellow peach pulp correlated with color difference

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] A method for predicting the beta-carotene content and the total amount of carotenoids in yellow-fleshed peach pulp associated with color difference, the steps comprising:

[0024] (1) 24 yellow-fleshed peach varieties without red pigment were used as materials. During the fruit ripening period, 8 fruits with the same maturity in the middle and periphery of the tree body of each variety were harvested at 10:00 am in fine weather, and they were brought back to the laboratory immediately.

[0025] (2) Each fruit is cut off with a knife with a thickness of 0.5, and a thin slice with a diameter of about 2-3 cm is used to measure the color difference value of the middle part of the remaining fruit section, i.e. the brightness value (L * ), the difference between red and green (a * ) and yellow-blue difference (b * ); and the fruit peeled and quick-frozen after determination.

[0026] (3) Grind the preserved pulp samples of each variety, use acetone as the extractant, and t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for predicting content of beta-carotene and total content of carotenoids in yellow peach pulp correlated with color difference. The method comprises the following steps of measuring the color difference value of the yellow peach pulp, including brightness value L*, red and green color difference value a* and yellow and blue color difference value b*; using HPLC (high performance liquid chromatography) to measure the content of carotenoid in the pulp, including the contents of xanthophyll, zeaxanthine, beta-cryptoxanthin, alpha-carotene and beta-carotene, wherein the sum of contents is the total content of the carotenoids; analyzing and fitting the content of beta-carotene, the total content of the carotenoids and the color difference value, and establishing a predicting equation of the content of the beta-carotene and the total content of the carotenoids. After repeated testing, the method has the advantages that the difference between the predicting value and the actual measurd value through the equation is not obvious; the accuracy is higher, the measuring and calculation method is simple, and the content of the beta-carotene and the total content of the carotenoids in the yellow peach pulp can be quickly predicted.

Description

technical field [0001] The invention relates to a method for predicting the beta-carotene content and the total amount of carotenoids in yellow-fleshed peach pulp associated with color difference. Background technique [0002] The composition and content of carotenoids not only determine the appearance and edible quality of fruits, but also their health effects on human body have always been the focus of attention. Many epidemiological studies have shown that natural carotenoids in vegetables and fruits have strong antioxidant capacity, which can help prevent cardiovascular diseases, senile cataracts and other degenerative diseases; improve immunity, delay aging; prevent cancer Anti-cancer, etc. Carotenoids are the main antioxidant substances in yellow-fleshed peaches, so the total amount of carotenoids is an important indicator of the quality of yellow-fleshed peaches; yellow-fleshed peaches contain lutein, zeaxanthin, β-crypto Xanthophyll, α-carotene, β-carotene and othe...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/25G01N30/02
CPCG01N21/251G01N30/02
Inventor 严娟蔡志翔宋娟沈志军马瑞娟俞明亮
Owner JIANGSU ACAD OF AGRI SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products