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Method for detecting quality of Brassica campestris based on near infrared spectrum

A technology of near-infrared spectroscopy and baby food, which is applied in the direction of material inspection, prediction, and food testing, etc., to achieve the effects of low analysis cost, good reproducibility, and convenient application

Inactive Publication Date: 2019-11-22
NANJING AGRICULTURAL UNIVERSITY
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Problems solved by technology

At present, there are few reports on the use of near-infrared to predict the quality change of Chinese baby cabbage during storage.

Method used

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  • Method for detecting quality of Brassica campestris based on near infrared spectrum
  • Method for detecting quality of Brassica campestris based on near infrared spectrum
  • Method for detecting quality of Brassica campestris based on near infrared spectrum

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Embodiment Construction

[0040] The present invention will be specifically introduced below in conjunction with the accompanying drawings and specific embodiments.

[0041] The present invention uses Antaris II (Thermo, USA) near-infrared spectrometer.

[0042] By collecting the near-infrared spectra of baby vegetables in different packages, combined with chemometric algorithms, a quality identification (prediction) model for baby vegetables based on near-infrared spectra is established, including the following steps:

[0043] S1. Selecting and grouping baby vegetables, taking whole baby vegetables as the research object, each group chooses baby vegetables with basically the same maturity and uniform size and packs them. Set up three groups: unpackaged (control), polyethylene-packed, and nano-packaged, and place them at room temperature (temperature is 20±0.5°C, relative humidity is 85%-90%) for storage (low temperature storage is also advisable). Spectrum collection and related indicators were measu...

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Abstract

The invention discloses a method for detecting the quality of Brassica campestris based on the near infrared spectrum, which comprises the steps of fitting collected near infrared spectrum data of a Brassica campestris sample and chemical values measured by a standard method, and optimally establishing a model by applying partial least squares (PLS); selecting an optimal spectrum pretreatment method, and measuring the quality of the model by comparing a determination coefficient (R2) and a root mean square error (RMSECV) so as to construct a high-quality quantitative analysis model of the nearinfrared spectrum of Brassica campestris. According to the method, the surface color, the mass loss rate, the hardness and the VC content of Brassica campestris can be rapidly and accurately predicted, the grade of Brassica campestris can be judged, thereby laying a foundation for rapid and nondestructive quality detection research of Brassica campestris, and having very high practicability and wide applicability.

Description

technical field [0001] The invention relates to a method for detecting the quality of baby vegetables, in particular to a method for detecting the quality of baby vegetables based on near-infrared spectroscopy. Background technique [0002] Baby cabbage (Brassica campestris), a cruciferous vegetable, also known as miniature Chinese cabbage, is a new vegetable variety introduced from Japan in recent years and has been favored in China. Baby cabbage has high medicinal value and nutritional value, and its main nutrients are sugar, protein, dietary fiber, fat, vitamins, calcium, iron, phosphorus, etc. Among them, baby cabbage contains high calcium and potassium content, which is almost equal to 2 to 3 times that of cabbage. It is an ideal vegetable for maintaining neuromuscular stress and normal function and preventing rickets. [0003] The quality of baby food includes commodity quality, nutritional quality and flavor quality. Baby cabbage is a leafy vegetable. After picking,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359G01N21/3563G01N33/02G06Q10/04G06Q10/06
CPCG01N21/3563G01N21/359G01N33/025G01N2201/129G06Q10/04G06Q10/06395
Inventor 潘磊庆陈少霞屠康李鹏霞周宏胜
Owner NANJING AGRICULTURAL UNIVERSITY
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