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1.
Chinese Journal of Analytical Chemistry ; (12): 27-32, 2018.
Article in Chinese | WPRIM | ID: wpr-664858

ABSTRACT

In the present study, 2-methyl-4-( trifluoromethyl) thiaZole-5-carboxylic acid ( MTCA) was acted as hapten of thifluZamide to synthesiZe artificial antigens.Immunogen MTCA-bovine serum albumin ( BSA ) was synthesiZed by active ester method.Meanwhile, three coating antigens, MTCA-OVA-1, MTCA-OVA-2 and MTCA-OVA-3 were synthesiZed by active ester method, mixed anhydride method and N, N-carbonyldiimidaZole/4-dimethylaminopyridine ( CDI/DMAP ) method, respectively.Anti-thifluZamide polyclonal antibody with high specificity was obtained from the immuniZed mice, then indirect competitive enZyme linked immunosorbent assay ( ic-ELISA ) method for thifluZamide detection was developed by using MTCA-OVA-3 and polyclonal antibody.The linear detection range in ic-ELISA was 0.08-10 mg/L with an IC50 of 1.39 mg/L and a LOD (IC10) of 0.08 mg/L.The recoveries for spiked samples including tap water, lake water and wheat ranged from 72.0%-128.3% in ic-ELISA method.Good correlation (R2=0.9994) was obtained between the results of ic-ELISA and those of HPLC analysis.The proposed ic-ELSA was promising for rapid detection of thifluZamide in water and agricultural products.

2.
China Journal of Chinese Materia Medica ; (24): 609-611, 2008.
Article in Chinese | WPRIM | ID: wpr-284434

ABSTRACT

The molecular electronegativity-distance vector (MEDV) was used to describe the chemical structural characterization of 46 components of essential oils in the flower of Rosa banksiae. Various multiple linear regression (MLR) models were created with variable screening by the stepwise multiple regression technique and statistics. The QSRR models of 10 and 6 variables were built by MLR with the correlation coefficients (R) of molecular modeling being 0.906 and 0.903. Cross-validation of the models, which contain selected vectors were performed by leave-one -out procedure (LOO) and the satisfied results with correlation coefficients (Rcv) of 0.904 and 0.903, respectively. The results showed that the models constructed can provide estimation stability and favorable predictive ability.


Subject(s)
Flowers , Chemistry , Linear Models , Molecular Structure , Oils, Volatile , Chemistry , Plants, Medicinal , Chemistry , Quantitative Structure-Activity Relationship , Regression Analysis , Rosa , Chemistry
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