Chromatographic peak reconstruction algorithm to improve qualitative and quantitative analysis of trace pesticide residues

2016 ◽  
Vol 30 (24) ◽  
pp. 2655-2663 ◽  
Author(s):  
Xiu-Ping Chen ◽  
Ruo-Jing Fan ◽  
Fang Zhang ◽  
Zhong-Quan Li ◽  
Bin Xu ◽  
...  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Peng Tan ◽  
Li Xu ◽  
Xi-Chuan Wei ◽  
Hao-Zhou Huang ◽  
Ding-Kun Zhang ◽  
...  

In this research, a very practical QuEChERS-GC-MS/MS analytical approach for 74 pesticide residues in herb based on retention index was established. This novel analytical approach has two important technical advantages. One advantage is to quickly screen pesticide compounds in herbs without having to use a large number of pesticide standard substances at the beginning of the experiment. The other advantage is to assist in identifying the target pesticide compound accurately. A total of 74 kinds of pesticides were quickly prescreened in all chuanxiong rhizoma samples. The results showed that three kinds of pesticides were screened out in all the samples, including chlorpyrifos, fipronil, and procymidone, and the three pesticides were qualitatively and quantitatively determined. The RSD values for interday and intraday variation were acquired to evaluate the precision of the analytical approach, and the overall interday and intraday variations are not more than 1.97% and 3.82%, respectively. The variations of concentrations of the analyzed three pesticide compounds in sample CX16 are 0.74%–4.15%, indicating that the three pesticides in the sample solutions were stable in 48 h. The spiked recoveries of the three pesticides are 95.22%, 93.03%, and 94.31%, and the RSDs are less than ± 6.0%. The methodological verification results indicated the good reliability and accuracy of the new analytical method. This research work is a new application of retention index, and it will be a valuable tool to assist quickly and accurately in the qualitative and quantitative analysis of multipesticide residues in herbs.


INFO ARTHA ◽  
2017 ◽  
Vol 2 ◽  
pp. 56-79
Author(s):  
NFN Khusnaini ◽  
Agung Widi Hatmoko

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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