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

Handheld near infrared spectrum detection system and detection method for quality of fruits and vegetables

A near-infrared spectroscopy and near-infrared spectrometer technology, which is used in measurement devices, material analysis by optical means, instruments, etc., can solve problems such as low power consumption, and achieve the effect of simplifying the model, eliminating collinearity, and reducing the amount of calculation.

Inactive Publication Date: 2017-01-11
JIANGSU UNIV
View PDF11 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a hand-held near-infrared spectrum detection method and system for fruit and vegetable quality, which solves the bottleneck problem of miniaturized design and low-cost development of nondestructive detectors for fruit and vegetable quality, and solves the problems of low power consumption and model simplification , to promote the practical application of near-infrared spectroscopy for fruit and vegetable quality detection

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
  • Handheld near infrared spectrum detection system and detection method for quality of fruits and vegetables
  • Handheld near infrared spectrum detection system and detection method for quality of fruits and vegetables
  • Handheld near infrared spectrum detection system and detection method for quality of fruits and vegetables

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] Such as figure 1 As shown, Embodiment 1 of the present invention proposes a hand-held near-infrared spectrum detection system for fruit and vegetable quality, and the system includes a rubber gasket, a miniature near-infrared spectrometer 3, an information control and processing module 4, a PDA 5, a mobile power supply 7 and a housing 8.

[0054] The housing 8 is designed as a crank type, molded from engineering plastics, the front end is connected to a rubber gasket, and the interior is used to fix the miniature near-infrared spectrometer 3, the circuit board of the developed signal control and processing module, the mobile power supply 7, and the touch switch 6 and PDA5.

[0055] The rubber gasket is fixed on the housing 8 and is located at the front end of the hand-held system. It directly contacts the sample to be tested. The miniature near-infrared spectrometer 3 converts the collected sample information into an electrical signal and transmits it to the PDA 5 via...

Embodiment 2

[0071] A hand-held near-infrared spectrum detection method for fruit and vegetable quality, the method is realized through the following steps:

[0072] S1. To collect representative fruit and vegetable samples to be tested in batches, the samples are required to be intact and the detection indicators have a certain coverage.

[0073] S2. Use the hand-held near-infrared spectrum detection system to collect the near-infrared diffuse reflectance spectrum of the fruit and vegetable samples, remove the spectral interval at both ends of the near-infrared diffuse reflectance spectrum with low signal-to-noise ratio, and obtain the corrected near-infrared diffuse reflectance of the fruit and vegetable spectrum.

[0074] S3. Calculate the absorbance A of the corrected near-infrared diffuse reflectance spectrum of fruits and vegetables, and establish the correlation relationship with the quality indicators of fruits and vegetables with the absorbance spectrum. The calculation formula is...

Embodiment 3

[0091] In this embodiment, tomato is taken as an example, and the hand-held near-infrared spectrum detection method and system for fruit and vegetable quality are used to obtain near-infrared spectrum data of tomato quality information in batches, establish a tomato quality detection model, and realize rapid and nondestructive detection of tomato quality:

[0092] (1) Select representative tomato samples in batches, use the hand-held near-infrared spectrum detection system for fruit and vegetable quality, set the wavelength range to 900-1700 nm, the spectral resolution to 4.68 nm, and the number of scans to 3 to collect near-infrared spectra of tomatoes data.

[0093] According to the ratio of about 2:1, it is divided into a calibration set and a verification set. For example, there are 78 test tomato samples, 52 tomato samples in the calibration set, and 26 samples in the verification set.

[0094] (2) Calculate the absorbance A of the near-infrared spectrum data of tomatoes,...

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 handheld near infrared spectrum detection system and a detection method for the quality of fruits and vegetables, and belongs to the field of quick detection technologies for the quality of foods or agricultural products. The handheld near infrared spectrum detection system and the detection method have the advantages that modulation light paths of a digital micro-mirror device is matched with a single-point detector and other external modules, so that the handheld, low-cost and miniaturized near infrared spectrum detection system for the quality of the fruits and vegetables can be obtained, and high-performance spectrum information can be acquired without expensive linear array detectors; characteristic wave bands are selected at first in the aspect of building fruit and vegetable quality detection models, then wave bands which do not contain information variables and are low in relevancy are removed, then a small quantity of characteristic wavelengths are selected by the id of characteristic wavelength selection processes, internal collinear relations among spectrum data are eliminated, accordingly, model calculation can be reduced, the models can be simplified, and the quality of the models can be improved; the bottleneck problems of high nondestructive detection cost for the quality of fruits and vegetables, carrying inconvenience and poor quality of existing detection models can be solved by the aid of the handheld near infrared spectrum detection system and the detection method.

Description

technical field [0001] The invention belongs to the technical field of rapid detection of food or agricultural product quality, and in particular relates to a hand-held near-infrared spectrum detection system and detection method for fruit and vegetable quality. Background technique [0002] Fruits and vegetables occupy an important position in the world's agricultural production and trade, and the quality control of fruits and vegetables is of great significance to improving market competitiveness. Traditional wet chemical methods are time-consuming, laborious, costly, and use chemical reagents, which cannot meet the needs of rapid detection in fruit and vegetable production, circulation, and control. [0003] The photoelectric detection technology of agricultural products has the advantages of high throughput and simultaneous detection of multiple indicators. Among them, the preferred green analysis technology for rapid and non-destructive testing of fruit and vegetable q...

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): G01N21/359G01N21/3563
CPCG01N21/359G01N21/3563
Inventor 郭志明陈全胜赵杰文欧阳琴林颢邹小波黄星奕蔡建荣孙宗保
Owner JIANGSU 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