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Method and device for detecting multi-component heavy metals in edible oil based on near-infrared in combination with colorimetric sensor array

A sensor array and heavy metal technology, applied in the field of food safety, can solve problems such as difficult, undetectable components, single function, etc., and achieve the effect of improving efficiency, good selectivity and sensitivity

Pending Publication Date: 2021-08-17
JIANGSU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the research on colorimetric sensors involves a wide range of areas and is difficult. It belongs to the research field of interdisciplinary research, and the development of characteristic color-sensitive materials is difficult; the function is relatively single, and it is impossible to use one instrument to detect the components of multiple analytes.

Method used

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  • Method and device for detecting multi-component heavy metals in edible oil based on near-infrared in combination with colorimetric sensor array
  • Method and device for detecting multi-component heavy metals in edible oil based on near-infrared in combination with colorimetric sensor array
  • Method and device for detecting multi-component heavy metals in edible oil based on near-infrared in combination with colorimetric sensor array

Examples

Experimental program
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Effect test

Embodiment 1

[0028] Implementation Example 1: Qualitative detection of heavy metals to be measured (Pb and Hg) and interfering heavy metals

[0029] A novel qualitative discrimination method for multi-component heavy metal ions, the specific operation steps are as follows:

[0030] (1) if figure 1 , which is a 3 × 1 heavy metal capture sensor array, which is fabricated as follows: (a) 10 mg of 5, 10, 15, 20-tetrakis(pentafluorophenyl) porphyrin ferric chloride (TPPF 2 OFeCl), tetramethoxyphenylporphyrin cobalt (TPPCo), and tetraphenylporphyrin iron (TPPPeCl), were dissolved in dichloromethane and made to a volumetric flask of 5 mL. Ultrasonic treatment for 15min solubilization to obtain a solution with a concentration of 2 mg / mL; (b) Dilute Pb and Hg with a dye base, dilute the interfering heavy metal to 10 times the concentration of the heavy metal to be tested, and prepare the following 4 types of heavy metal samples to be tested: (Ⅰ) Blank and 5 kinds of interfering heavy metal soluti...

Embodiment 2

[0033] Implementation Example 2: In the presence of interfering heavy metals, the quantitative detection of heavy metals (Pb, Hg) to be measured in corn oil

[0034] A novel quantitative detection method for multi-component heavy metal ions in corn oil, the specific operation steps are as follows:

[0035] (1) if figure 1 , which is a 3×1 heavy metal ion capture sensor array, which is fabricated as follows: (a) Weigh well-screened three types of characteristic color-sensitive dyes (5,10,15,20-tetrakis(pentafluorophenyl)porphyrin chloride Iron (TPPF 2 OFeCl), tetramethoxyphenylporphyrin cobalt (TPPCo), tetraphenylporphyrin iron (TPPFeCl)), and the use of porous silica nanospheres (PSNs) and dimethyl pyridinium amine (DPA) for the dye Carry out optimization and modification; (b) dilute the heavy metals to be tested (Pb and Hg) to a certain concentration gradient (10, 20, 40, 60, 80, 100ppb) using the dye base, and potentially interfering heavy metal elements: Mg 2+ , Zn 2+ 、...

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Abstract

The invention provides a method and a device for detecting multi-component heavy metals in edible oil based on near-infrared in combination with a colorimetric sensor array. The method comprises the following steps: firstly, screening 5, 10, 15, 20-tetra (pentafluorophenyl) porphyrin ferric chloride sensitive to heavy metal Pb, cobalt tetramethoxyphenylporphyrin sensitive to heavy metal Hg ions and iron tetraphenylporphyrin sensitive to both the 5, 10, 15, 20-tetra (pentafluorophenyl) porphyrin ferric chloride and the cobalt tetramethoxyphenylporphyrin; and then detecting the heavy metals to be detected in the multi-component heavy metals in the corn oil by using the two types of colorimetric sensor arrays; and finally, obtaining reflection spectrum data of a colorimetric sensor array through an automatic near-infrared detection device manufactured by the method, and constructing a content prediction model of the multi-component heavy metals in the edible oil by combining a joint interval partial least square ant colony algorithm with a partial least square method. Results show that the method and the device can directly detect the multi-component heavy metal ions in the edible oil, sample pretreatment is not needed, and the detection efficiency of workers is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of food safety, and in particular relates to a method and a device for detecting multi-component heavy metals in edible oil by combining near-infrared colorimetric sensor arrays. Background technique [0002] As one of the necessities of people's daily life, edible vegetable oil contains unsaturated fatty acids and various vitamins and minerals needed by the human body. Therefore, the addition of edible oil can not only improve the color of dishes, but also reduce blood fat and prevent arteriosclerosis. However, edible oils may be contaminated by heavy metals from different sources, such as soil, water, and air required for the growth of edible oil raw materials, etc. In addition, it may also be introduced during the production process. On the one hand, the addition of these heavy metals will promote the oxidative degradation of oils; on the other hand, carcinogenic and toxic heavy metal ions such as Hg, C...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/3577G01N21/359G01N21/78
CPCG01N21/3577G01N21/359G01N21/78
Inventor 林颢蒋浩陈全胜康文翠
Owner JIANGSU UNIV