SERS (Surface Enhanced Raman Spectroscopy) detection method for pesticide residues in fruits

A surface-enhanced Raman, pesticide residue technology, applied in Raman scattering, test sample preparation, material excitation analysis, etc. limit, simple operation, and the effect of improving sensitivity

Inactive Publication Date: 2013-12-25
EAST CHINA JIAOTONG UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Although these methods can guarantee the accuracy and precision of the results, the pretreatment process of the experimental samples is relatively complic...

Method used

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  • SERS (Surface Enhanced Raman Spectroscopy) detection method for pesticide residues in fruits
  • SERS (Surface Enhanced Raman Spectroscopy) detection method for pesticide residues in fruits
  • SERS (Surface Enhanced Raman Spectroscopy) detection method for pesticide residues in fruits

Examples

Experimental program
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Embodiment 1

[0030] like image 3 As shown, the ordinary Raman spectrum of pure chlorpyrifos pesticide powder is shown in a in Figure 1. The figure appears at 1569cm -1 The stronger peak at 1237 cm is caused by C=C stretching vibration in chlorpyrifos, and other characteristic Raman peaks also appear at 1237 cm -1 、1454 cm -1 .

[0031] A method for detecting chlorpyrifos pesticides by surface-enhanced Raman spectroscopy of fruit pesticide residues of the present invention, the specific steps are as follows:

[0032] Step 1, the navel orange epidermis sample that obtains, extracts sample solution;

[0033] 5 g of navel orange epidermis samples were chopped and placed in a centrifuge tube, mixed with 50 ml of acetone solution, treated with ultrasonic waves for 10 min, then treated with a centrifuge at 5500 rpm for 5 min, and filtered to obtain an extract. 0.5 g of magnetic adsorbent Fe3O4-C18 was added to the extract, mixed and stirred for 5 min, and the components were separated und...

Embodiment 2

[0044] like Figure 4 As shown, the ordinary Raman spectrum of pure pinotrope pesticide powder is as shown in b in Figure 1. Figure appears at 770 cm -1 The peak at is caused by the P–O–C stretching vibration, and the rest of the characteristic Raman peaks also appear at 1072 cm -1 、1344 cm -1 place.

[0045] The surface-enhanced Raman spectrum of a kind of fruit pesticide residue of the present invention detects the method for dimethoate pesticide, and concrete steps are as follows:

[0046] Step 1, the navel orange epidermis sample that obtains, extracts sample solution;

[0047]5 g of navel orange epidermis samples were chopped and placed in a centrifuge tube, mixed with 50 ml of acetone solution, treated with ultrasonic waves for 10 min, then treated with a centrifuge at 5500 rpm for 5 min, and filtered to obtain an extract. 0.5 g of magnetic adsorbent Fe3O4-C18 was added to the extract, mixed and stirred for 5 min, and the components were separated under the action ...

Embodiment 3

[0058] like Figure 5 As shown, the ordinary Raman spectrum of pure imophos pesticide powder is as shown in c in Figure 1. Appears at 1015cm in the picture -1 The peak at is caused by the expansion and contraction of the skeleton, and the characteristic Raman peak caused by ring deformation appears at 605cm -1 .

[0059] A method of utilizing surface-enhanced Raman spectroscopy to detect imophos pesticides of the present invention, the specific steps are as follows:

[0060] Step 1, the navel orange epidermis sample that obtains, extracts sample solution;

[0061] 5 g of navel orange epidermis samples were chopped and placed in a centrifuge tube, mixed with 50 ml of acetone solution, treated with ultrasonic waves for 10 min, then treated with a centrifuge at 5500 rpm for 5 min, and filtered to obtain an extract. 0.5 g of magnetic adsorbent Fe3O4-C18 was added to the extract, mixed and stirred for 5 min, and the components were separated under the action of a magnetic fie...

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Abstract

The invention relates to an SERS (Surface Enhanced Raman Spectroscopy) detection method for pesticide residues in fruits, belonging to the technical field of food safety detection. The method comprises the following steps: step 1, acquiring fruit skin samples, and extracting a sample solution; step 2, preparing a silver sol solution; step 3, preparing a sodium chloride solution; step 4, mixing the sample solution in the step 1, the silver sol solution in the step 2 and the sodium chloride solution in the step 3 to form a sample to be detected, and uniformly mixing on a vibration instrument; step 5, dripping the mixed sample to be detected on a glass slide, naturally drying, and carrying out a Raman spectrum test to obtain an SERS spectrum of the sample to be detected; step 6, comparing the SERS spectrum of the sample to be detected obtained in the step 5 with a standard pesticide SERS spectrum, and determining whether the sample contains a corresponding pesticide or not. The method is efficient and rapid, is low in detection cost, and can be widely applied to the field of food safety detection.

Description

technical field [0001] The invention relates to the technical field of food safety detection, in particular to a surface-enhanced Raman spectrum detection method for fruit pesticide residues. Background technique [0002] In recent years, with the development of social economy and the improvement of people's quality of life, the problem of pesticide residues in fruits has attracted widespread attention. Pesticides play a very important role in the comprehensive prevention and control of fruit tree diseases and insect pests, but pesticides are toxic chemicals after all. With the large amount of pesticides and unreasonable use, the residues of pesticides in fruit products are getting higher and higher, which is harmful to people's lives. The health impact is also getting worse. Therefore, it is of great significance to develop a fast, simple and effective method for the detection of pesticide residues in fruits. [0003] At present, there are many main detection methods at h...

Claims

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Application Information

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IPC IPC(8): G01N21/65G01N1/38
Inventor 刘燕德何冰冰郝勇施宇叶冰
Owner EAST CHINA JIAOTONG UNIVERSITY
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