04279ntm a2200313 a 4500001001400000003000700014005001700021008004100038020002200079039006800101040000800169090002800177100002100205245013600226260003400362300004600396500004900442502008600491504002900577520279000606610006403396650004503460650001103505856005703516952013003573952014003703999002503843999009703868vtls000093979KUKTEM20251117113320.0160317t2015    my a   f      000 0 eng d  aTHE0000171(Local) 9a201905131623bnazirahc201710091023daishahy201603171448zhuda  aUMP  aFIST .M87 2015 r Thesis0 aMupit Datusahlan1 aIsolation and identification of lipolytic bacteria from galing river water kuantan to degrade waste cooking oil /cMupit Datusahlan  aKuantan, Pahang :bUMP,c2015  axix, 126 p. :bill. ;c30 cm. +e1 CD-ROM  aFaculty of Industrial Science and Technology  aThesis (Master of Science (Biotechnology)) -- Universiti Malaysia Pahang – 2015  aBibliography : p. 98-1153 aGaling  River  is  located  in  the  center  of  the  Kuantan  city.  The  river  was  polluted  by various  waste  and  categorised  as  Class  IV  by  Department  of  Environment.  One  of pollution sources is identifying came from waste cooking oil. The objective of this study is  to  isolate  and  identify  of  lipolytic  bacteria  potential,  which  originated  from  the location  of  the  downstream  Vistana  hotel  at  the  Galing  River  water.  The  ability  of lipolytic bacteria in degradation of waste cooking oil is also investigated. The potential of lipolytic bacteria investigation is by using Rhodamine B. MacConKey  agar is used to identify the presence of lipolytic bacteria. RapID ONE test used for the selected media, which will identify the bacteria strain name, while for a final identification is using PCR and  DNA  analysis.  To  determine  the  lipolytic  ability  of  the  bacteria  in  degrading  the waste cooking oil, FTIR and gravimetric analysis are used. Most of the pollutants appear with the WQI value of 32.61. Oil and Grease value at the location M4 is 14 mg / L, while the lowest level on M1 with a value of 2 mg /L, while M2 and M3 respectively 4 mg /L and 7 mg /L. There are four bacterial strains, which had been isolated from M4 location, i.e.:  Providencia stuartii, Bacillus pimilus, Exiquobacterium  sp., and  Bacillus antracis. The identified bacteria will be used to degrade waste cooking oil (WCO). The variation  of  degradation  time  and  concentration  of  bacteria  was  observed.  Measurable objective  of  the  lipolytic  bacteria  capability  to  degrade  the  waste  cooking  oil  (WCO) source  in  batch  production  based  on  the  optical  density  and  gravimetric  data,  and  the rate of degradation of waste cooking oil (WCO) using FTIR. Based on that analysis, it is concluded that gravimetric analysis has a maximum value degradation of 91.39% in 100 ml variation bacteria and 4% waste cooking oil (WCO). While the minimum value of the variation of 50 µl bacteria and 1% waste cooking oil (WCO) degradation 17.08%. It’s based on a variety of media (50, 75 and 100 µl) of bacteria and 1-4% waste cooking oil (WCO). The trend increase in from 1-4% with variation bacterial of (50, 75 and 100 µl). While the degradation of waste cooking oil (WCO) using  FTIR  was obtained the new  climax  that  were  observed  at  721  and  869  cm-1  was  shown  the  presence  of aromatic compound due to a benzene ring. FTIR provides a quick and accurate way to evaluate the structural changes from the waste cooking oil (WCO) that degraded cause by of the bacteria. As the results of this study, it can be concluded that the isolation of bacteria derived from Galing river can be used to degrade the waste cooking oil (WCO)20aFaculty of Industrial Science and TechnologyxDissertations 0aUniversities and CollegesxDissertations 0aTheses40uhttp://ecollib.ump.edu.my/3550/zLibrary access only  00102lcc4071a10000b10000d2019-09-04l0oFIST .M87 2015 r Thesisp0000107860r2019-09-04 00:00:00t1w2019-09-04yTHESIS  00102lcc4071a10000b10000d2019-09-04l0oCD 9690 | FIST .M87 2015 r Thesisp0000107861r2019-09-04 00:00:00t1w2019-09-04yTHESIS  aVIRTUA40c6609d6615  aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992