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Detection method for efficiently identifying stored grain pests in rice

A detection method, rice technology, applied in the direction of measuring devices, instruments, scientific instruments, etc., can solve the problems of humidity sensitivity, acoustic measurement method is easily affected by various noises, and cannot detect grains with insect eggs, etc., to achieve operational The effect of simplicity and ultra-high analysis speed

Active Publication Date: 2022-07-29
NANJING UNIV OF FINANCE & ECONOMICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, near-infrared detection is very sensitive to the humidity of grains, X-rays cannot detect grains with eggs, and acoustic detection is susceptible to various noises

Method used

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  • Detection method for efficiently identifying stored grain pests in rice
  • Detection method for efficiently identifying stored grain pests in rice
  • Detection method for efficiently identifying stored grain pests in rice

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] 1. Selection of raw materials

[0024] Select the rice that has removed impurities and 5 corn weevil adults into a 20ml headspace sample bottle, seal it, and place it at room temperature for 24h;

[0025] 2. Use the headspace automatic sampling unit to detect the volatile substances in the analyte by GC-IMS. The headspace sampling detection conditions were as follows: the automatic headspace sampling incubation temperature was set to 60°C, the incubation time was 15min, the equilibrium speed was 500rpm, the injection volume was 500μL, and the injection needle temperature was 85°C. The chromatographic column is FS-SE-54-CB-1, the column length is 15m, the inner diameter is 0.53mm, the column temperature is 60°C, and the carrier gas is high-purity N 2 (purity ≥ 99.999%). The flow rate program of GC-IMS is: 0~2min flow rate is 2.0mL·min -1 , linearly increased to 10 mL min within 2 min to 10 min -1 , linearly increased to 100mL·min within 10min~20min -1 , linearly inc...

Embodiment 2

[0028] This embodiment is basically the same as the above-mentioned embodiment 1, and the difference lies in:

[0029] In step (1), 20 corn weevil were added to the headspace vial containing 7 g of rice.

Embodiment 3

[0031] This embodiment is basically the same as the above-mentioned embodiment 1, and the difference lies in:

[0032] In step (1), 40 corn weevil were added to the headspace vial containing 7 g of rice.

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Abstract

The invention discloses a detection method for efficiently identifying stored grain pests in unhulled rice, which comprises the following steps: (1) weighing unhulled rice without impurities, putting the unhulled rice into a headspace sample bottle with stored grain pests, and standing at room temperature for 24 hours; and (2) detecting and analyzing the volatile substances in the to-be-detected substance through GC-IMS by using a headspace automatic sampling unit. And (3) the GC-IMS data statistics software adopts LAV data analysis software to carry out data extraction analysis, a Report plug-in in the software is adopted to carry out pseudo-color spectrogram drawing and data dimension reduction processing, a Galley plot plug-in is adopted to carry out characteristic data peak identification and intensity analysis, and an IMS database built in the software is adopted to carry out material matching and qualitative analysis. The invention provides a detection method for rapidly analyzing and identifying stored grain pests in rice by analyzing difference information among volatile organic substances in the rice damaged by different stored grain pests by utilizing GC-IMS (Gas Chromatography-IMS).

Description

technical field [0001] The invention belongs to the field of food detection, in particular to a detection method for efficiently identifying stored grain pests in rice. Background technique [0002] Currently, food security is a growing concern, and food loss caused by pests is still the main cause of post-harvest losses. It is estimated that 30% of grain losses are caused by stored grain pests, with losses exceeding $2 billion. Corn weevil, codling beetle and red grain thief are the main pests in rice storage in my country. The corn elephant reproduces fast, and it bites the grain, causing many debris residues, which is easy to cause the occurrence of pests in the later stage. The liquid contaminates the grain, causing the grain to have an unpleasant musty odor, making it inedible. Therefore, the development of new, rapid and non-destructive detection methods for grain storage pests is of great significance for grain storage safety. [0003] At present, traditional meth...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N30/02G01N30/06G01N30/24G01N30/30G01N30/32G01N30/72G01N30/86
CPCG01N30/02G01N30/06G01N30/24G01N30/30G01N30/32G01N30/72G01N30/8686G01N2030/062G01N2030/324
Inventor 丁超倪小颖刘强刘兵赵思琪
Owner NANJING UNIV OF FINANCE & ECONOMICS