Isolation and identification of selected sulphate reducing bacteria from palm oil mill effluent for desulfurization process

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Saidu, Haruna
التنسيق: أطروحة
منشور في: 2014
الموضوعات:
الوسوم: إضافة وسم
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id my-utm-ep.48502
record_format uketd_dc
spelling my-utm-ep.485022017-08-01T01:39:02Z Isolation and identification of selected sulphate reducing bacteria from palm oil mill effluent for desulfurization process 2014 Saidu, Haruna QR Microbiology 2014 Thesis http://eprints.utm.my/id/eprint/48502/ masters Universiti Teknologi Malaysia, Faculty of Bioscience and Medical Engineering Faculty of Bioscience and Medical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic QR Microbiology
spellingShingle QR Microbiology
Saidu, Haruna
Isolation and identification of selected sulphate reducing bacteria from palm oil mill effluent for desulfurization process
description
format Thesis
qualification_level Master's degree
author Saidu, Haruna
author_facet Saidu, Haruna
author_sort Saidu, Haruna
title Isolation and identification of selected sulphate reducing bacteria from palm oil mill effluent for desulfurization process
title_short Isolation and identification of selected sulphate reducing bacteria from palm oil mill effluent for desulfurization process
title_full Isolation and identification of selected sulphate reducing bacteria from palm oil mill effluent for desulfurization process
title_fullStr Isolation and identification of selected sulphate reducing bacteria from palm oil mill effluent for desulfurization process
title_full_unstemmed Isolation and identification of selected sulphate reducing bacteria from palm oil mill effluent for desulfurization process
title_sort isolation and identification of selected sulphate reducing bacteria from palm oil mill effluent for desulfurization process
granting_institution Universiti Teknologi Malaysia, Faculty of Bioscience and Medical Engineering
granting_department Faculty of Bioscience and Medical Engineering
publishDate 2014
_version_ 1747817406039851008