Studies on grafting ethyl acrylate onto polyvinyl chloride in a heterogeneous system. Part II. The effect of the molecular weight regulator on the product composition

Polimery ◽  
1980 ◽  
Vol 25 (05) ◽  
pp. 167-169
Author(s):  
ANDRZEJ HIBNER ◽  
WLODZIMIERZ LASKAWSKI
2013 ◽  
Vol 483 ◽  
pp. 56-60 ◽  
Author(s):  
Xiao Qi Chen ◽  
Chao Liu ◽  
Hai Jun Zhou ◽  
Xiao Lei Zhang ◽  
Fei Wang ◽  
...  

A kind of enteric-coated pharmaceutical coating material, which can be dissolved in pH>5.5 medium, was successfully prepared by pre-emulsionsemi-continuous polymerization methods with equal molecular mass of methacrylic acid and ethyl acrylate as main raw materials. The effects of the initiator and chain transfer agent on the molecular weight and the performance of the emulsion were discussed. The obtained compound was used as the coating material of Lansoprazole capsule, and the dissolution rate was measured. The results show that polymethacrylat emulsion with 1.83×105 of molecular weight was obtained when the dosage of the initiator and the chain transfer agent is 0.43% and 0.79% of the total monomer mass, respectively. The dissolution rate of Lansoprazole capsule coated polymethacrylat emulsion in the pH 6.8 medium was greater than 75%.


1969 ◽  
Vol 11 (6) ◽  
pp. 1487-1496 ◽  
Author(s):  
A.L. Goff ◽  
I.P. Yakovlev ◽  
V.M. Zhulin ◽  
M.G. Gonikberg

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Yan-jiang Jin ◽  
Ben-xian Shen ◽  
Ruo-fan Ren ◽  
Lei Yang ◽  
Jun Sui ◽  
...  

The effect of the amounts of initiator, emulsifier, and molecular weight regulator on the styrene butadiene rubber performance was investigated, based on the industrial original formula. It was found that the polymerization rate was increased with the increased dosage of initiator and emulsifier, and together with replenishing molecular weight regulator will make the Mooney viscosity of rubber meet the national standard when the conversion rate reaches 70%. The backpropagation neural network was trained by the original formula and ameliorated formula on the basis of Levenberg-Marquardt algorithm, and the relative error between the simulation results and experimental data is less than 1%. The good consistency shows that the BP neural network could predict the product performances in different formula conditions. It would pave the way for adjustment of the SBR formulation and prediction of the product performances.


1968 ◽  
Vol 10 (6) ◽  
pp. 1531-1537 ◽  
Author(s):  
V.I. Zegel'man ◽  
N.A. Okladnov ◽  
Ye.N. Zil'berman

Sign in / Sign up

Export Citation Format

Share Document