Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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4S303
Thammisetty Venkata Rao
A simple and sensitive dispersive liquid -liquid microextraction method based gas chromatography mass spectrometry (DLLME-GC-MS) has been developed for the simultaneous determination of twelve azole fungicides (Tetraconazole, Penconazole, Tricyclazole, Propiconazole, Tebuconazole, Epoxyconazole, Etoxazole, Fluquinconazole, Difenconazole) in fruit samples. The following parameters that affect the DLLME procedure efficiency were optimized: Selection of extraction solvent and dispersion solvent, extraction time and ionic strength. Under the optimal conditions the linearity of the method was established over the range 0.001 -1.0 μg/mL with the correlation coefficients ranging from 0.9962 -0.9997. The recoveries of the DLLME ranged from 85 to 105, with relative standard deviation (RSD) < 9.5%.
Thammisetty Venkata Rao. 2013. \u201cA Dispersive Liquid- Liquid Microextraction based Gas Chromatography – Mass Spectrometry (DLLME-GC-MS) Method for the Simultaneous Determination of Fungicide Residues in Fruit Samples\u201d. Global Journal of Science Frontier Research - B: Chemistry GJSFR-B Volume 13 (GJSFR Volume 13 Issue B6): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
The methods for personal identification and authentication are no exception.
Total Score: 103
Country: India
Subject: Global Journal of Science Frontier Research - B: Chemistry
Authors: Thammisetty Venkata Rao, Gundoju Suresh, Atmakuru Ramesh (PhD/Dr. count: 0)
View Count (all-time): 103
Total Views (Real + Logic): 4818
Total Downloads (simulated): 2416
Publish Date: 2013 09, Sat
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A simple and sensitive dispersive liquid -liquid microextraction method based gas chromatography mass spectrometry (DLLME-GC-MS) has been developed for the simultaneous determination of twelve azole fungicides (Tetraconazole, Penconazole, Tricyclazole, Propiconazole, Tebuconazole, Epoxyconazole, Etoxazole, Fluquinconazole, Difenconazole) in fruit samples. The following parameters that affect the DLLME procedure efficiency were optimized: Selection of extraction solvent and dispersion solvent, extraction time and ionic strength. Under the optimal conditions the linearity of the method was established over the range 0.001 -1.0 μg/mL with the correlation coefficients ranging from 0.9962 -0.9997. The recoveries of the DLLME ranged from 85 to 105, with relative standard deviation (RSD) < 9.5%.
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