Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method using Raman spectrum to detect beta-carotene content in fruit

A Raman spectroscopic detection and carotene technology, which is applied in the field of non-destructive testing of fruit and vegetable quality and spectroscopy, can solve the problems of high operation requirements and reduced separation effect, and achieves the effects of high prediction accuracy, easy portability and fast analysis.

Active Publication Date: 2016-06-15
ZHEJIANG UNIV
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Both thin-layer chromatography and high-performance liquid chromatography require a long sample preparation process. The extraction and purification of pigments have relatively high requirements for operators, and the separation effect will be compromised.

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 using Raman spectrum to detect beta-carotene content in fruit
  • Method using Raman spectrum to detect beta-carotene content in fruit
  • Method using Raman spectrum to detect beta-carotene content in fruit

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The detection method of the present invention will be further explained below in conjunction with the accompanying drawings.

[0038] In this embodiment, loquat fruit is selected as a test sample.

[0039]The loquat fruit sample was "Red Haired Girl" in Tangqi, Hangzhou. The sample collection time was April 28, May 8, and May 16, 2014, respectively, corresponding to the immature stage, mature stage of loquat fruit Early stage and full maturity stage. A total of 67 effective samples were obtained, 22, 22, and 23 at each stage, 45 of which were calibration sets, and the remaining 22 were prediction sets (p=45, q=22). After the sample was obtained, the sample was stored in a refrigerator at 4°C, and it was taken out 2 hours before the test and placed at room temperature.

[0040] The Raman spectrometer used in this embodiment is the Raman spectrum of the loquat fruit collected by the QE65pro of OceanOptics. The basic parameters of the instrument include:

[0041] Laser ...

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

PropertyMeasurementUnit
wavelengthaaaaaaaaaa
Login to View More

Abstract

The invention discloses a method using Raman spectrum to detect beta-carotene content in fruit. The method includes: using the Raman spectrum to perform non-destructive detection on a fruit sample, using high performance liquid chromatography to perform chemical detection at the same time, comparing the detection results of the non-destructive detection and the chemical detection, performing scientific mathematical deduction to obtain the mapping relation between the non-destructive detection and the chemical detection, and using the Raman spectrum to detect data through the mapping relation so as to obtain the beta-carotene content suitable for the fruit. The method is fast in detection, free of sample destruction, high in sensitivity, and the like.

Description

technical field [0001] The invention relates to the fields of spectroscopy and non-destructive detection of fruit and vegetable quality, in particular to a method for detecting β-carotene content in fruits by using Raman spectroscopy. Background technique [0002] Carotenoids are a class of natural fat-soluble pigment molecules. About 750 carotenoids can be directly isolated from nature, and they are mainly distributed in higher plants, algae and photosynthetic bacteria. The presence of carotenoids gives plants and animals their various colors, and they are often added to food and beverages as colorants. Although neither animals nor humans can synthesize carotenoids by themselves, they can be ingested from plants and converted into required components. For example, β-carotene can be converted into retinol (vitamin A) in the human body. [0003] Carotenoids can be divided into two groups according to whether their molecules contain oxygen atoms: luteinoids (such as lutein C ...

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): G01N21/65
CPCG01N21/65
Inventor 裘正军王涛
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products