scholarly journals A Correction Method of Mixed Pesticide Content Prediction in Apple by Using Raman Spectra

2019 ◽  
Author(s):  
Yan Li ◽  
Yankun Peng ◽  
Jianwei Qin ◽  
Kuanglin Chao
Keyword(s):  
Quantitative Analysis ◽  
Raman Spectra ◽  
Detection System ◽  
Correction Method ◽  
Qualitative And Quantitative Analysis ◽  
Characteristic Peak ◽  
Qualitative And Quantitative ◽  
Peak Intensity ◽  
The Difference ◽  
Lagrangian Interpolation

In the study, a new correction method was applied to reduce error during detection on mixed pesticide residue in apples by using Raman spectra. Combined with self-built pesticide residues detection system by Raman spectroscopy and the application of surface enhancement technology, rapid real-time qualitative and quantitative analysis of deltamethrin and acetamiprid residues in apples can be applied effectively. In quantitative analysis, compared with the intensity value of characteristic peaks of single pesticide with same concentration, the intensity value of characteristic peaks of the two pesticides decreased after mixing the pesticides, which interferes the results severely. By comparing the difference in the intensity of characteristic peaks of single and mixed pesticides, a correction method is proposed to eliminate the influence of pesticides mixture. Characteristic peak intensity values of gradient concentration pesticide from 10-1 g•kg-1 to 10-6 g•kg-1 and Lagrangian interpolation are applied in the correction method. And a smooth surface is applied to describe the correction ratio of characteristic peak intensity. Through detecting the characteristic peak intensity values of the mixed pesticide, correction ratio will be obtained. Then real values of the peak intensity of pesticides and the content of each component of the mixed pesticide will be acquired by the correction method. Correlation coefficient of model validation exceeds 0.88 generally and Root Mean Square Error also decreases obviously after correction, which proved the reliability of the method.

scholarly journals A Correction Method of Mixed Pesticide Content Prediction in Apple by Using Raman Spectra

2019 ◽  
Vol 9 (8) ◽  
pp. 1699 ◽  
Author(s):  
Li ◽  
Peng ◽  
Qin ◽  
Chao
Keyword(s):  
Quantitative Analysis ◽  
Detection System ◽  
Correction Method ◽  
Correction Coefficient ◽  
Characteristic Peak ◽  
Peak Intensity ◽  
Spectral Detection ◽  
The Difference ◽  
Lagrangian Interpolation ◽  
Raman Spectral

In the study, a new correction method was applied to reduce error during Raman spectral detection on mixed pesticide residue in apples. Combined with self-built pesticide residues detection system by Raman spectroscopy and the application of surface enhancement technology, rapid real-time qualitative and quantitative analysis of deltamethrin and acetamiprid residues in apples could be applied effectively. In quantitative analysis, compared with the intensity value of characteristic peaks of single pesticide with same concentration, the intensity value of characteristic peaks of the two pesticides decreased after mixing the pesticides, which affected the results severely. By comparing the difference in the intensity of characteristic peaks of single and mixed pesticides, a correction method was proposed to eliminate the influence of pesticides mixture. Characteristic peak intensity values of gradient concentration pesticide from 100 mg·kg−1 to 10−3 mg·kg−1 and Lagrangian interpolation were applied in the correction method. And a smooth surface was applied to describe the correction coefficient of characteristic peak intensity. Through detecting the characteristic peak intensity values of the mixed pesticide, correction coefficient would be obtained. Then real values of the peak intensity of pesticides and the content of each component of the mixed pesticide would be acquired by the correction method. Correlation coefficient of model validation exceeded 0.88 generally and Root Mean Square Error also decreased obviously after correction, which proved the reliability of the method.

scholarly journals Qualitative and Quantitative Analysis of Flower Pigments in Chocolate Cosmos, Cosmos Atrosanguineus, and its Hybrids

2016 ◽  
Vol 11 (1) ◽  
pp. 1934578X1601100
Author(s):  
Kotarou Amamiya ◽  
Tsukasa Iwashina
Keyword(s):  
Quantitative Analysis ◽  
Flower Color ◽  
The Other ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Total Anthocyanins ◽  
The Difference ◽  
Flower Pigments ◽  
Quantitative Hplc ◽  
Black Flower

Two major anthocyanins, cyanidin 3- O-glucoside and 3- O-rutinoside, were isolated from the black flowers of Cosmos atrosanguineus cultivar ‘Choco Mocha’, together with three minor anthocyanins, cyanidin 3- O-malonylglucoside, pelargonidin 3- O-glucoside and 3- O-rutinoside. A chalcone, butein 4′- O-glucoside and three minor flavanones were isolated from the red flowers of C. atrosanguineus x C. sulphureus cultivar ‘Rouge Rouge'. The anthocyanins and chalcone accumulation of cultivar ‘Choco Mocha’ and its hybrid cultivars ‘Brown Rouge’, ‘Forte Rouge’, ‘Rouge Rouge’ and ‘Noel Rouge’ was surveyed by quantitative HPLC. Total anthocyanins of black flower cultivars ‘Choco Mocha’ and ‘Brown Rouge’ were 3-4-folds higher than that of the red flower cultivar ‘Noel Rouge'. On the other hand, total chalcone of ‘Noel Rouge’ was 10–77-folds higher compared with those of other cultivars, ‘Brown Rouge’, ‘Forte Rouge’ and ‘Rouge Rouge'. It was shown that the flower color variations from red to black of Chocolate Cosmos and its hybrids are due to the difference in the relative amounts of anthocyanins and chalcone.

MEMIKAT HATI WAJIB PAJAK SEHINGGA MEMILIKI WILLINGNESS TO COMPLY MELALUI PENYULUHAN PAJAK BERDASARKAN FOGG BEHAVIORAL MODEL

INFO ARTHA ◽  
2017 ◽  
Vol 2 ◽  
pp. 56-79
Author(s):  
NFN Khusnaini ◽  
Agung Widi Hatmoko
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Statistical Data ◽  
Tax Compliance ◽  
Behavioral Model ◽  
Control Group ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Quasi Experimental ◽  
Experimental Process

Attitudes towards tax compliance (willingness to comply) Indonesian society is still low. Required an innovative tax dissemination to increase it. The purpose of this study was to determine whether the tax dissemination based on Fogg Behavioral Model (FBM) approach may increase wiliingness to comply. The FBM based tax dissemination asserts that for a person to perform a target behavior, which is a willingness to comply, he or she must be sufficiently motivated, have the ability to perform the behavior, and be trigerred, to perform the behavior. This research is a combination of qualitative and quantitative analysis of statistical data results of the questionnaire, interviews, and observations of the respondent and the experimental process of dissemination. The method used in this study is a quasi experimental with patterns of nonequivalent control group (pretest-post which is not equivalent). Based on the results of data analysis, interviews and observations of the respondent and the experiment, this research showed that theFBMbasedtaxdissemination hasapositiveimpactto willingnesstocomplyofthetaxpayers. 

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