Visible and near infrared spectrum bee pollen variety discriminating method

A near-infrared spectrum and near-infrared spectrometer technology is applied in the field of identification of bee pollen varieties, which can solve the problems of inability to easily and quickly identify bee pollen varieties, consume a lot of manpower, material resources, and complicated operation processes, thereby reducing detection costs, The effect of reducing labor intensity and high identification efficiency

Inactive Publication Date: 2009-12-30
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current identification method of bee pollen species is mainly the microscope analysis method, which is cumbersome to operate, has low identification efficiency, ...

Method used

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  • Visible and near infrared spectrum bee pollen variety discriminating method
  • Visible and near infrared spectrum bee pollen variety discriminating method
  • Visible and near infrared spectrum bee pollen variety discriminating method

Examples

Experimental program
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Effect test

Embodiment 1

[0025] see figure 1 The device of the bee pollen variety identification method provided by the present invention is composed of a computer 1, an RS232 serial port data line 2, a visible and near-infrared spectrometer 3, a calibration whiteboard 4 and a light source 5, and the computer 1 and the visible-near-infrared spectrometer pass through the RS232 serial port data line 2 connected, the light source 5 is a halogen lamp.

[0026] Place the measured object on the calibration whiteboard 4, adjust the angle between the beam of the visible and near-infrared spectrometer 3 and the measured object to be 45°, and the light source 5 beam irradiation direction and the angle between the measured object are also 45°, and make it visible The beam of the near-infrared spectrometer and the light beam of the light source are at 90°, so that the reflected light of the measured object and the calibration whiteboard enters the visible and near-infrared spectrometer, and the visible and near-i...

Embodiment 2

[0029] see figure 2 , the principle of the invention: the light emitted by the light source enters the visible and near-infrared spectrometer after being reflected on the sample, and hits a holographic diffraction grating. The light is then separated into different wavelengths and received by the array receivers individually. The receiver integrates the light into an electrical signal and saves it; then the electrical signal is converted into a digital signal through a 16-bit A / D converter, and input to the computer through the RS232 serial data line. The computer is equipped with spectral analysis processing software to complete the spectral analysis work.

Embodiment 3

[0031] see image 3 , is a design block diagram of the software for spectrum analysis and processing of bee pollen varieties.

[0032] In the software production stage, it is necessary to establish a spectral correction model of bee pollen varieties, and the establishment includes the following steps:

[0033] (1) Acquisition of spectral information of calibration sample set. A calibration sample set was established by collecting different varieties of bee pollen samples with a near-infrared spectrometer. Then, the spectral reflectance information of the full band (325nm-1075nm) of the bee pollen samples in the calibration sample set is collected by a spectrometer.

[0034] (2) Reflect the spectral pretreatment of bee pollen varieties. Due to the interference of the outside world and the accuracy of the spectrometer itself in the collected original spectral signal, it will affect the selection of characteristic bands. Spectral preprocessing is carried out by convolution sm...

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Abstract

The invention discloses a visible and near infrared spectrum bee pollen variety discriminating method. The method comprises the following steps of: by arranging a bee pollen variety discriminating device, using a visible and near infrared spectrometer to acquire spectrum information of bee pollen samples, applying a spectrum-correcting model of bee pollen variety, completing spectrum analysis by spectrum analysis processing software and carrying out variety discrimination. The bee pollen variety discriminating method applies a chemometric method to establish a bee pollen variety spectrum model and completes real-time discrimination to the variety of bee pollen. The method can realize fast, stable and real-time discrimination of various bee pollens, do not use a chemical agent, reduce detection cost, reduce labor intensity, can be applied to online production detection well, can carry out non-destructive discrimination to the variety of bee pollen, do not have influence to physical and chemical properties of the bee pollens, carry out classification to bee pollens with discriminated varieties, improve the purity of bee pollen product and guarantee the benefits of consumers.

Description

technical field [0001] The invention relates to a method for identifying bee pollen varieties, in particular to a method for identifying bee pollen varieties using visible and near-infrared spectra. Background technique [0002] Bee pollen is a natural nutritious food rich in protein, carbohydrates, minerals, vitamins and other active substances. Bee pollen has certain medical effects, such as regulating endocrine, treating diabetes, nourishing the kidney and calming the nerves, and anti-tumor, etc. It is known as "concentrated natural medicine storehouse" and "all-round nutrition storehouse". As bee pollen products are more and more favored by consumers, people's requirements for the quality of bee pollen are constantly improving, and the phenomenon of fake and inferior bee pollen products on the market is also becoming more and more serious, which puts forward higher requirements for the quality detection method of bee pollen Require. The current identification method of...

Claims

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Application Information

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IPC IPC(8): G01N21/49G01N21/59
Inventor 金航峰黄凌霞吴迪楼程富金佩华
Owner ZHEJIANG UNIV
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