Observing The Parameter Dependant System On The Formation Of Lag Phase Curve In A Bacteria Growth

Predictive biology plays an important in forecasting the behaviour of the microorganismunder the unpredictable environment condition such as temperature and pH. In order to precisely simulate the growth of the microorganism, several growth models had been proposed. Logistic model, modified Gompertz...

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Main Author: Chang, Chee Wing
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2021
Subjects:
Online Access:http://eprints.usm.my/54688/
http://eprints.usm.my/54688/1/Observing%20The%20Parameter%20Dependant%20System%20On%20The%20Formation%20Of%20Lag%20Phase%20Curve%20In%20A%20Bacteria%20Growth_Chang%20Chee%20Wing_K4_2021_ESAR.pdf
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author Chang, Chee Wing
author_facet Chang, Chee Wing
author_sort Chang, Chee Wing
building USM Institutional Repository
collection Online Access
description Predictive biology plays an important in forecasting the behaviour of the microorganismunder the unpredictable environment condition such as temperature and pH. In order to precisely simulate the growth of the microorganism, several growth models had been proposed. Logistic model, modified Gompertz equation, Luedeking-Piret model and Monod model are the models that were studied in this work. These models composed of several growth parameters which have significant impact on the growth curve. Typically, growth curves are presented in the form of sigmoidal curve. Growth parameters such as maximum specific growth rate (µmax) and lag time (
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institution Universiti Sains Malaysia
institution_category Local University
language English
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spelling usm-546882022-09-14T08:21:55Z http://eprints.usm.my/54688/ Observing The Parameter Dependant System On The Formation Of Lag Phase Curve In A Bacteria Growth Chang, Chee Wing T Technology TP Chemical Technology Predictive biology plays an important in forecasting the behaviour of the microorganismunder the unpredictable environment condition such as temperature and pH. In order to precisely simulate the growth of the microorganism, several growth models had been proposed. Logistic model, modified Gompertz equation, Luedeking-Piret model and Monod model are the models that were studied in this work. These models composed of several growth parameters which have significant impact on the growth curve. Typically, growth curves are presented in the form of sigmoidal curve. Growth parameters such as maximum specific growth rate (µmax) and lag time ( Universiti Sains Malaysia 2021-06-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/54688/1/Observing%20The%20Parameter%20Dependant%20System%20On%20The%20Formation%20Of%20Lag%20Phase%20Curve%20In%20A%20Bacteria%20Growth_Chang%20Chee%20Wing_K4_2021_ESAR.pdf Chang, Chee Wing (2021) Observing The Parameter Dependant System On The Formation Of Lag Phase Curve In A Bacteria Growth. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Kimia. (Submitted)
spellingShingle T Technology
TP Chemical Technology
Chang, Chee Wing
Observing The Parameter Dependant System On The Formation Of Lag Phase Curve In A Bacteria Growth
title Observing The Parameter Dependant System On The Formation Of Lag Phase Curve In A Bacteria Growth
title_full Observing The Parameter Dependant System On The Formation Of Lag Phase Curve In A Bacteria Growth
title_fullStr Observing The Parameter Dependant System On The Formation Of Lag Phase Curve In A Bacteria Growth
title_full_unstemmed Observing The Parameter Dependant System On The Formation Of Lag Phase Curve In A Bacteria Growth
title_short Observing The Parameter Dependant System On The Formation Of Lag Phase Curve In A Bacteria Growth
title_sort observing the parameter dependant system on the formation of lag phase curve in a bacteria growth
topic T Technology
TP Chemical Technology
url http://eprints.usm.my/54688/
http://eprints.usm.my/54688/1/Observing%20The%20Parameter%20Dependant%20System%20On%20The%20Formation%20Of%20Lag%20Phase%20Curve%20In%20A%20Bacteria%20Growth_Chang%20Chee%20Wing_K4_2021_ESAR.pdf