Optimisation of process parameters using D-optimal for enzymatic synthesis of polycaprolactone

Pakalapati, Harshini; Balaji, Anand Bellam; Arumugasamy, Senthil Kumar; Khalid, Mohammad

doi:10.1007/s00289-017-2207-8

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…Tables and shows that the F value for responses (M n and M w ) are 15.98 and 17.02 respectively indicating that all the four parameters chosen have a significant effect on determining the molecular weight of the polymer. Furthermore, P value at it is the least significance level would indicate the rejection of null hypothesis . Its value lesser than 0.05 indicates a significant model.…”

Section: Resultsmentioning

confidence: 97%

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Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology

et al. 2018

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A statistical approach with D‐optimal design was used to optimize the process parameters for polycaprolactone (PCL) synthesis. The variables selected were temperature (50°C‐110°C), time (1‐7 h), mixing speed (50‐500 rpm) and monomer/solvent ratio (1:1‐1:6). Molecular weight was chosen as response and was determined using matrix‐assisted laser desorption/ionization time of flight (MALDI TOF). Using the D‐optimal method in design of experiments, the interactions between parameters and responses were analysed and validated. The results show a good agreement with a minimum error between the actual and predicted values.

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Section: Resultsmentioning

confidence: 97%

“…[22] Tables 3 and 4 Furthermore, P value at it is the least significance level would indicate the rejection of null hypothesis. [23] Its value lesser than 0.05 indicates a significant model. As the P values for Mn and Mw are 0.004 and 0.003, the model developed is significant.…”

Section: Gravimetric Methodsmentioning

confidence: 99%