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运用均匀设计和响应面法优化噻虫啉悬浮剂。

Integrating uniform design and response surface methodology to optimize thiacloprid suspension.

机构信息

Shandong Provincial Key Laboratory for Biology of Vegetable Diseases and Insect Pests, College of Plant Protection, Shandong Agricultural University, Tai'an, Shandong 271018, P. R. China.

Research Center of Pesticide Environmental Toxicology, Shandong Agricultural University, Tai'an, Shandong 271018, China.

出版信息

Sci Rep. 2017 Apr 6;7:46018. doi: 10.1038/srep46018.

DOI:10.1038/srep46018
PMID:28383036
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5382544/
Abstract

A model 25% suspension concentrate (SC) of thiacloprid was adopted to evaluate an integrative approach of uniform design and response surface methodology. Tersperse2700, PE1601, xanthan gum and veegum were the four experimental factors, and the aqueous separation ratio and viscosity were the two dependent variables. Linear and quadratic polynomial models of stepwise regression and partial least squares were adopted to test the fit of the experimental data. Verification tests revealed satisfactory agreement between the experimental and predicted data. The measured values for the aqueous separation ratio and viscosity were 3.45% and 278.8 mPa·s, respectively, and the relative errors of the predicted values were 9.57% and 2.65%, respectively (prepared under the proposed conditions). Comprehensive benefits could also be obtained by appropriately adjusting the amount of certain adjuvants based on practical requirements. Integrating uniform design and response surface methodology is an effective strategy for optimizing SC formulas.

摘要

采用吡虫啉 25%悬浮剂(SC)模型,评估均匀设计和响应面法的综合方法。Tersperse2700、PE1601、黄原胶和 VeeGum 为四个实验因素,水分离率和粘度为两个因变量。采用逐步回归和偏最小二乘的线性和二次多项式模型来检验实验数据的拟合度。验证试验表明,实验数据和预测数据之间具有良好的一致性。水分离率和粘度的实测值分别为 3.45%和 278.8 mPa·s,预测值的相对误差分别为 9.57%和 2.65%(在建议的条件下制备)。根据实际需要,适当调整某些助剂的用量,还可以获得综合效益。整合均匀设计和响应面法是优化 SC 配方的有效策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92b/5382544/6f464538a44d/srep46018-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92b/5382544/e430fcd82843/srep46018-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92b/5382544/a5416075c8bc/srep46018-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92b/5382544/64b3158bd207/srep46018-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92b/5382544/91d98d5321e7/srep46018-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92b/5382544/6f464538a44d/srep46018-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92b/5382544/e430fcd82843/srep46018-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92b/5382544/a5416075c8bc/srep46018-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92b/5382544/64b3158bd207/srep46018-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92b/5382544/91d98d5321e7/srep46018-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92b/5382544/6f464538a44d/srep46018-f5.jpg

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