02867ntm a2200349 i 4500 vtls000103753 KUKTEM 20251117113404.0 180604s2017 my a f am 000 0 eng d THE0001437(Local) 201905211450 asmadi 201806041114 saini 201806041104 saini UMP eng UMP rda FTeK .W66 2017 r Bc. Wong, Shin Yie, author. Statistical analysis of factors affecting monoclonal antibody production by using principal component analysis : physiological characteristics of cell line / Wong Shin Yie Kuantan, Pahang : UMP, 2017 xiii, 71 pages : illustrations (some color) ; 30 cm. + 1 CD-ROM text rdacontent unmediated rdamedia computer rdamedia volume rdacarrier computer disc rdacarrier text file PDF rda Faculty of Engineering Technology Project Paper (Bachelor Of Manufacturing Engineering Technology (Pharmaceutical) -- Universiti Malaysia Pahang – 2017 Includes bibliographical references Rapid increase in the demand for biopharmaceutical products has posed a challenge in the selection of high producing cell line that produce maximum amount of product. Various advances and efforts has been done on cell culture technology for Chinese Hamster Ovary (CHO) cell lines to achieve an improvement in the specific productivity of CHO cell lines. This study identifies the effects and relationship of various physiological characteristics of a panel of six CHO stable cell lines on the specific productivity (qp) of cell lines ranging from 2 to 50 pg/cell/day. We examined the correlation between physiological characteristics and specific productivity throughout the growth phase of batch culture. Results obtained were statistically analysed using Principal Component Analysis (PCA). Our research revealed that, overall, specific productivity is positively correlated to the total intracellular protein content of the cell lines. Meanwhile, specific productivity is negatively correlated to the cell density throughout the development of cell lines. However, this correlation was not observed at all-time points throughout the growth phase. Another significant finding from the research is that the correlation between physiological characteristics and specific productivity was the strongest during late exponential 5 of the growth phase as compared to early exponential. Faculty of Engineering Technology Dissertations Universities and colleges Disertations Theses 0 0 0 1 10000 10000 2019-09-04 0 FTeK .W66 2017 r Bc. 0000122928 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 11347 | FTeK .W66 2017 r Bc. 0000122929 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 7819 7825 VTLSSORT0080*0200*0400*0900*1000*2450*2640*3000*3360*3370*3371*3380*3381*3470*5000*5020*5040*5200*6100*6500*6501*9992