2015
DOI: 10.1039/c5ra00292c
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Thiacloprid suspension formula optimization by a response surface methodology

Abstract: A response surface methodology with four factors at five levels was adopted to optimize a model thiacloprid suspension concentrate.

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Cited by 8 publications
(13 citation statements)
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References 37 publications
(35 reference statements)
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“…However, when a high amount of X 3 was added, the aqueous separation ratio dropped abruptly with the amount of X 4 . This result is significantly different from our previous finding16, in which response plots were illustrated under optimal conditions of independent variables. We suppose that maintaining moderate experimental conditions may be a more reasonable strategy for obtaining better predictive accuracy.…”
Section: Resultscontrasting
confidence: 99%
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“…However, when a high amount of X 3 was added, the aqueous separation ratio dropped abruptly with the amount of X 4 . This result is significantly different from our previous finding16, in which response plots were illustrated under optimal conditions of independent variables. We suppose that maintaining moderate experimental conditions may be a more reasonable strategy for obtaining better predictive accuracy.…”
Section: Resultscontrasting
confidence: 99%
“…PE600, PE1602 and PE 1601 showed no significant difference in terms of flow points, though PE1601 was observed to possess the most favourable wettability. As shown in Figure S1 (Supplementary Information), a PE1601 molecule has an analogous structure to the segmented copolymer EO-PO-EO (Ethylene oxide - Propylene epoxide - Ethylene oxide), which enables it to act as a wetting agent16. Although the hydrophilic EO group provides favourable wettability, it can cause large quantities of foam.…”
Section: Resultsmentioning
confidence: 99%
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