Modelling of batch biopolymer fermentation / (Record no. 1662)

MARC details
000 -LEADER
fixed length control field 02258nam a2200253 a 4500
001 - CONTROL NUMBER
control field vtls000058599
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114204420.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120306t2010 my a f m 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0004128(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905132115
Level of effort used to assign nonsubject heading access points farhana
-- 201203061549
-- Fida
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) TP156.F4 M37 2010 rs Bc.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Maryam Ismail
245 10 - TITLE STATEMENT
Title Modelling of batch biopolymer fermentation /
Statement of responsibility, etc. Maryam Ismail
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2010
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 79 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm. +
Accompanying material 1 CD-ROM
502 ## - DISSERTATION NOTE
Dissertation note Project paper (Bachelor of Chemical Engineering (Biotechnology)) -- Universiti Malaysia Pahang - 2010
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography: p. 25-26
520 3# - SUMMARY, ETC.
Summary, etc. This research is about modelling of Cupriavidus necator (C. necator) growth and polyhydroxyalkanoates (PHA) production in batch fermentation and fitting the models to the data using Runge-Kutta 4th Order Method by minimizing the error between experimental data and predicted data using the Simplex Method in MATLAB R2009b software. The models and the fitting methods were first tried on data of yeast biomass growth and intracellular enzyme cytochrome p-450 production in batch fermentation while the data of C. necator growth and PHA production is being generated. Hence, data were obtained from three sources which are Jailani et. al., (1995), Ali (2009) and Firdaus (2010). The biomass growth model developed was based on Logistic Model while the model for PHA production was developed based on the assumptions that each cell contain the same amount of PHA and that PHA degrades with the same rate. Predicted data was obtained using function ode45 in MATLAB R2009b software which implements Runge-Kutta 4th Order Method while minimum error was obtained through function fminsearch in the same software which implements Simplex Method. After completing the works, it was found that the models fit very well on data Salihon et. al., (1995) and Ali (2009). However, the models were not well fitted on data Firdaus (2010) as the values of parameters were not converged.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Fermentation
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Biopolymers
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost   In Transit UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019   TP156.F4 M37 2010 rs Bc. 0000063281 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019   CD 5955 | TP156.F4 M37 2010 rs Bc. 0000063282 04/09/2019 1 04/09/2019 Final Year Report

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