Heavy metals detection from contaminated river using molybdenum reducing enzyme

Heavy metals contamination in Malaysia River has attracted concern among Malaysians. The issue arises when the Department of Environmental Malaysia in 2015 claimed the number of polluted river has increased from year 2000 to 2015. Therefore, the monitoring method is required in order to screen the p...

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Main Authors: Nurlizah Abu Bakar, Ahmad Razi Othman, Mohd Yunus Shukor
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2019
Online Access:http://journalarticle.ukm.my/14824/1/15.pdf
http://journalarticle.ukm.my/14824/
http://www.ukm.my/jkukm/volume-312-2019/
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Institution: Universiti Kebangsaan Malaysia
Language: English
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spelling my-ukm.journal.148242020-07-10T03:34:34Z http://journalarticle.ukm.my/14824/ Heavy metals detection from contaminated river using molybdenum reducing enzyme Nurlizah Abu Bakar, Ahmad Razi Othman, Mohd Yunus Shukor, Heavy metals contamination in Malaysia River has attracted concern among Malaysians. The issue arises when the Department of Environmental Malaysia in 2015 claimed the number of polluted river has increased from year 2000 to 2015. Therefore, the monitoring method is required in order to screen the polluted area. Current monitoring systems involved analytical methods such as Atomic Absorption Spectrophotometer (AAS) and Inductively Coupled Plasma (ICP) are costly, thus, the development of effective method and cost effective in screening heavy metal contamination is required. Molyhdenum-reducing enzyme has a potential to detect heavy metals contamination in river water samples. The enzyme extracted from locally isolated bacteria labeled as Bacilus sp. strain A.rzi was partially purified based on ion exchange chromatography using High Performance Liquid Chromatography (HPLC). The screening for heavy metals inhibition towards Mo-reducing enzyme was based on colorimetric analysis. Data for IC50 determined using statistical analysis (one phase decay plot) showed. Significant inhibition with three heavy metals (copper, lead and mercury) towards Mo-reducing enzyme. Copper showed the highest IC50 value of 0.25 mgL-1 followed by mercury and lead at 0.35 mgL-1 and 0.49 mgL-1 respectively. Screening for river water samples showed that Mo-reducing enzyme positively reacted to heavy metals in water samples. The Colorimetric based assay also showed heavy metals present in river water samples had inhibited Mo-reducing enzyme activity. The enzyme could reduce heavy metals to form molybdenum blue and was observed during reaction. Due to this unique feature, Mo-reducing enzyme can be proposed as a bioassay method for detecting heavy metal in river samples. Penerbit Universiti Kebangsaan Malaysia 2019-10 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/14824/1/15.pdf Nurlizah Abu Bakar, and Ahmad Razi Othman, and Mohd Yunus Shukor, (2019) Heavy metals detection from contaminated river using molybdenum reducing enzyme. Jurnal Kejuruteraan, 31 (2). pp. 303-308. ISSN 0128-0198 http://www.ukm.my/jkukm/volume-312-2019/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Heavy metals contamination in Malaysia River has attracted concern among Malaysians. The issue arises when the Department of Environmental Malaysia in 2015 claimed the number of polluted river has increased from year 2000 to 2015. Therefore, the monitoring method is required in order to screen the polluted area. Current monitoring systems involved analytical methods such as Atomic Absorption Spectrophotometer (AAS) and Inductively Coupled Plasma (ICP) are costly, thus, the development of effective method and cost effective in screening heavy metal contamination is required. Molyhdenum-reducing enzyme has a potential to detect heavy metals contamination in river water samples. The enzyme extracted from locally isolated bacteria labeled as Bacilus sp. strain A.rzi was partially purified based on ion exchange chromatography using High Performance Liquid Chromatography (HPLC). The screening for heavy metals inhibition towards Mo-reducing enzyme was based on colorimetric analysis. Data for IC50 determined using statistical analysis (one phase decay plot) showed. Significant inhibition with three heavy metals (copper, lead and mercury) towards Mo-reducing enzyme. Copper showed the highest IC50 value of 0.25 mgL-1 followed by mercury and lead at 0.35 mgL-1 and 0.49 mgL-1 respectively. Screening for river water samples showed that Mo-reducing enzyme positively reacted to heavy metals in water samples. The Colorimetric based assay also showed heavy metals present in river water samples had inhibited Mo-reducing enzyme activity. The enzyme could reduce heavy metals to form molybdenum blue and was observed during reaction. Due to this unique feature, Mo-reducing enzyme can be proposed as a bioassay method for detecting heavy metal in river samples.
format Article
author Nurlizah Abu Bakar,
Ahmad Razi Othman,
Mohd Yunus Shukor,
spellingShingle Nurlizah Abu Bakar,
Ahmad Razi Othman,
Mohd Yunus Shukor,
Heavy metals detection from contaminated river using molybdenum reducing enzyme
author_facet Nurlizah Abu Bakar,
Ahmad Razi Othman,
Mohd Yunus Shukor,
author_sort Nurlizah Abu Bakar,
title Heavy metals detection from contaminated river using molybdenum reducing enzyme
title_short Heavy metals detection from contaminated river using molybdenum reducing enzyme
title_full Heavy metals detection from contaminated river using molybdenum reducing enzyme
title_fullStr Heavy metals detection from contaminated river using molybdenum reducing enzyme
title_full_unstemmed Heavy metals detection from contaminated river using molybdenum reducing enzyme
title_sort heavy metals detection from contaminated river using molybdenum reducing enzyme
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2019
url http://journalarticle.ukm.my/14824/1/15.pdf
http://journalarticle.ukm.my/14824/
http://www.ukm.my/jkukm/volume-312-2019/
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