Chlorothalonil

BRAVO 500 , chlorothalonil, 27 BRAVO ULTREX , chlorothalonil, 27 BRAVO WEATHER STIK , chlorothalonil, 27 Brazil histitute of Environment and Renewable Natural Resources (IBA), 281... 

Chloropropionitrile, 41 o-Chlorostyrene, 41 Chlorosulphonic acid, 41 Chlorothalonil, 41 o-Chlorotoluene, 41 Chloroxuron, 41... 

Eastman Chemical Co., 227 Eastman Kodak Company, 227 ECHO , chlorothalonil, 60 ECOTOX Database System, 305 ECOTRIN , asphm, 60... 

Fmtarom Meer Corporation, 233 Fry Technology, 209, 229 Fuberidazole, 71 Fuji Photo Film Co. Ltd., 183 Funiaric acid, 71 FUNGINIL , chlorothalonil, 71 FURADAN , carbofuran, 71 Furan, 71... 

RIDOMIL GOLD/BRAVO , chlorothalonil, 115 Riedel-deHaen, See Sigma-Aldrich Laborchemikalien GmbH (Germany), 165... 

The effects of water temperature and pesticide concentration on pesticide recoveries were tested by Moye et al The pesticides included alachlor, atrazine, bromacil, chlorothalonil, chloropyrifos, diazinon, endosulfan, simazine and trifluralin. Temperatures of 5,25,45 and 65 °C were tested and concentrations of 0.1,1.0 and 10 pgL were used. Water temperature had a pronounced effect on the recoveries whereas the concentration did not seem to have as great an effect. 

Data on the DFR of chlorothalonil on carnation crops in previous studies indicated an increase in DFR of 10 to 20% with solvent extraction (unpublished data). However, in all of the current experiments, no differences were observed between dislodgeable foliar residue and solvent-extracted foliar residue for the pesticides methiocarb and thiophanate-methyl. 

A derived crystal packing model proved to be useful in resolving the crystal structure of a metastable polymorph of racemic modafinil, where details of the solved crystal structure of one polymorph was used as a basis for developing the structure of the other [12]. It was found that the calculated XRPD pattern matched well with the experimental data, indicating the correctness of the analysis. The powder diffraction of two polymorphs of chlorothalonil were solved to obtain... 

Ferrer and Barcelo [394] used sobd-phase extraction coupled with LC-MS to determine diuron, irgalol, and chlorothalonil in seawater in amounts down to lng/l. 

The pesticides included in this study were fenvalerate, chlordecone (kepone), chlorothalonil, and chlorpyrifos. Fenvalerate is a synthetic pyrethroid insecticide used, for example, for mites on chickens. Its chemical name is cyano(3-phenoxyphenyl)-methyl 4-chloro-alpha-(1-methylethyl)benzeneacetate. Chlordecone is an insecticide, no longer used, and has a chemical name decachloro-octahydro-l,3,4-metheno-2H-cyclobuta(cd)=pentalen-2-one. Chlorothalonil is fungicide used on tomatoes whose chemical name is 2,4,5,6-tetrachloroisophthalonitrile. Chlorpyrifos is an insecticide with a chemical name 0,0-diethyl 0-(3,5,6-trichloro-2-pyridyl)phosphorothioate. Chlorpyrifos is the U. S. Food and Drug Administration chromatographic reference standard since numerous specific detectors (electron capture, flame photometric in both sulfur and phosphorus modes, alkali flame, nitrogen phosphorus, and Hall detectors) are sensitive to it. 

Response Transformation. Step 1. We found that the calibration graph response data obtained from gas chromatography seldom have constant variance along the length of the graph. The data in Tables I-III clearly show that the larger the response value the larger the variance of the response at that level. Fenvalerate in Table I, chlordecone (kepone) in Table II and chlorothalonil in Table III have the information for untreated data (at a... 

From the authors experience not all real data sets can be transformed to constant variance using power transformations. Instrumentation imperfections in our laboratory resulted in data that had variable variances despite our attempts at transformation. The transformed chlorothalonil data set, as shown in Table III illustrates a set where the transformations attempted nearly failed to give constant variance across the response range in this case the Hartley criterion was barely satisfied. The replications at the 0.1 and 20. ng levels had excessively high variance over the other levels. An example where constant variance was easily achieved utilized data of the insecticide chlordecone (kepone) also on the electron capture detector. Table II shows that using a transformation power of 0.3 resulted in nearly constant variance. 

Transformation Power of Selected Data Sets. Hartley statistic values are shown in Tables I-III for fenvalerate, chlordecone, and chlorothalonil. In each case a power transformation was found of sufficient size at a 93% probability which satisfied the H criterion. For fenvalerate the power of 0.15 was satisfactory for constant variance. For chlordecone the whole range of powers from 0.30 to 0.10 satisfied the critical H value (listed in order of increasing transformation power). Despite apparent non-constancy of data for chlorothalonil shown in Table III, the critical H was satisfied for the range in power transformation from 0.23 to 0.10. 

The regression for chlorothalonil was different from that of fenvalerate in its optimal power probably due to its shorter a-mount range (Table VII), 1000 to 1 where the latter was 2000 to 1. 

Chlorpyrifos had an amount range of only 300 to 1. It was different from others cited by its flame photometric (sulfur mode) detection. It is interesting, however, that the power transformations for both chlorothalonil and chlorpyrifos were so similar. 

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