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

A Method of 2,4-D Rapid Detection Based on SERS Basis Combined with Multiple Linear Regression Model

A multiple linear regression and model technology, which is applied in the direction of material analysis, measurement device, material excitation analysis by optical means, etc., can solve the problems of cumbersome preprocessing and long detection period.

Active Publication Date: 2021-09-10
JIANGSU UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the disadvantages of long detection period and cumbersome pretreatment existing in traditional detection methods, the present invention aims to solve one of the above problems; the present invention is based on SERS technology and combined with multiple linear regression models to analyze the 2,4-D in tea soup. Rapid detection, in which the multiple linear regression model refers to the use of partial least squares (Partial Least Square, PLS), combined with competitive adaptive reweighted algorithm (Competitive Adaptive Reweighted Sampling, CARS) for wave number variable screening

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
  • A Method of 2,4-D Rapid Detection Based on SERS Basis Combined with Multiple Linear Regression Model
  • A Method of 2,4-D Rapid Detection Based on SERS Basis Combined with Multiple Linear Regression Model
  • A Method of 2,4-D Rapid Detection Based on SERS Basis Combined with Multiple Linear Regression Model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] (1) Take 10g of tea leaves and mix them with water, heat them to 60°C, then carry out vacuum filtration, and use the obtained clear as the sample liquid;

[0034] (2) Prepare 200mL of zinc nitrate hexahydrate solution with a concentration of 0.006g / mL, preheat to 40°C in a magnetic stirring oil bath and keep stirring at a speed of 200rpm for 10min; then add 2mL of ammonia water with a concentration of 28wt% to the solution , and set the temperature to 30°C, and kept the reaction speed of 200rpm for 18h; after the reaction, the obtained white turbid liquid was cooled to room temperature, and then centrifuged at 8000rpm for 15min, the supernatant was discarded, and the collected white turbid liquid was deionized with deionized water Wash the precipitate; continue to centrifuge under the same conditions, discard the supernatant, and wash the white precipitate with absolute ethanol, centrifuge again at 8000rpm for 15min, wash with deionized water and collect the white precip...

Embodiment 2

[0043] (1) Take 10g of tea leaves and mix them with water, heat them to 40°C, then carry out vacuum filtration, and use the obtained clear as the sample liquid;

[0044] (2) Prepare 200 mL of zinc nitrate hexahydrate solution with a concentration of 0.004 g / mL, preheat to 40 ° C in a magnetic stirring oil bath and keep stirring at a speed of 200 rpm for 10 min; then add 2 mL of ammonia water with a concentration of 28 wt % to the solution , and set the temperature to 50°C, and kept the reaction speed of 200rpm for 18h; after the reaction, the obtained white turbid liquid was cooled to room temperature, then centrifuged at 8000rpm for 15min, the supernatant was discarded, and the collected white turbid liquid was deionized with deionized water Wash the precipitate; continue to centrifuge under the same conditions, discard the supernatant, and wash the white precipitate with absolute ethanol, centrifuge again at 8000rpm for 15min, wash with deionized water and collect the white p...

Embodiment 3

[0050] (1) Take 10g of tea leaves and mix them with water, heat them to 50°C, then carry out vacuum filtration, and use the obtained clear as the sample liquid;

[0051] (2) Prepare 200mL of zinc nitrate hexahydrate solution with a concentration of 0.01g / mL, preheat to 40°C in a magnetic stirring oil bath and keep stirring at a speed of 200rpm for 10min; then add 2mL of ammonia water with a concentration of 28wt% to the solution , and set the temperature to 60°C, and kept the reaction speed of 200rpm for 18h; after the reaction, the obtained white turbid liquid was cooled to room temperature, and then centrifuged at 8000rpm for 15min, the supernatant was discarded, and the collected white turbid liquid was deionized with deionized water Wash the precipitate; continue to centrifuge under the same conditions, discard the supernatant, and wash the white precipitate with absolute ethanol, centrifuge again at 8000rpm for 15min, wash with deionized water and collect the white precipi...

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

PropertyMeasurementUnit
wavelengthaaaaaaaaaa
Login to View More

Abstract

The invention belongs to the technical field of rapid detection of agricultural products, and specifically relates to a method for rapid detection of 2,4-D by using a SERS substrate combined with a multiple linear regression model; the specific steps are: firstly prepare a sample liquid, and collect samples containing different 2,4-D The SERS spectrum of the sample liquid is preprocessed, and then imported into matlab, the number of evolution, the minimum number of sampling times and the coefficient of variation in the CARS algorithm are set, and the CARS algorithm is used to perform variable screening on all pretreated SERS spectra, and the cross-validation mean square is selected. The variable combination with the lowest root error is used for the establishment of the prediction model, and the detection of the concentration of 2,4-D in the sample liquid can be realized by substituting the SERS spectrum of the sample liquid to be tested; the detection speed of the present invention is fast, the detection range is wide, the stability, It has high sensitivity and has good application prospects in technical fields such as food safety and environmental monitoring.

Description

technical field [0001] The invention belongs to the technical field of rapid detection of agricultural products, and in particular relates to a 2,4-D rapid detection method using a SERS substrate combined with a multiple linear regression model. Background technique [0002] In the process of cultivation and production of agricultural products, pesticides are inevitably used, but in the process of pesticide application, there are often excessive pesticide residues due to wrong guidance and illegal operations. In particular, water-soluble pesticides such as 2,4-D, dimeform, and trichlorfon not only tend to remain on the surface and environment of agricultural products, but also penetrate into the interior of agricultural products, and eventually enter the human body as people eat them. In the human body, the risk of tumors, chromosomal lesions, and neuronal damage will increase. [0003] Among them, tea is a traditional beverage in my country and one of the main economic cro...

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 Patents(China)
IPC IPC(8): G01N21/65
CPCG01N21/658G01N2201/129
Inventor 焦天慧陈全胜许艺程武李欢欢欧阳琴王安成
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com