Extraction, Characterization and Inhibition Studies of Velvet Beans Urease Enzymes

Urease enzymes was extracted and studied for possible application as biorecognition element in electrochemical biosensors for heavy metal analysis in water matrix. This research work was based on the fact that heavy metal ions inhibit urease enzymes activity and the amount of inhibition is directly proportional to the concentration of inhibiting species in the sample. Urease enzymes activity and the effects of temperature, pH, enzyme/substrate concentration and incubation time on the urease activity was examined. Maximum urease activity of 10.230 U/mol was obtained at 40 oC and pH 7.5 with 220 µg/L enzyme concentration after 120 min incubation period. The Vmax and Km were estimated as 0.31 mM/min and 125 µg/L respectively. All of the heavy metals tested showed evidence of inhibition on the extracted urease enzymes, highest inhibition 80.541 was observed with Pb2+ and the lowest was 9.42 with Fe2+ meanwhile, no inhibition was observed with low concentration of Cr2+. This research revealed that Velvet beans urease enzymes can be used as biorecognition element in electrochemical biosensors for determination of heavy metal ions in water matrix. We therefore recommend for further electrochemical characterization with glassy carbon electrodes in electrochemical cells. Keywords: – Enzymes activity, Heavy metals, Biosensors, Biorecognition elements, Water matrix

Authors

Institutions

Publication Details

Journal
International Academic Association Journal of Scientific Research.
Published
2025-08-08
DOI
https://doi.org/10.59298/iaajsr/2025/1224452.00
Primary Topic
Enzyme Production and Characterization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Extraction, Characterization and Inhibition Studies of Velvet Beans Urease Enzymes

Abubakar Isa, Isah Labaran, Boutahricht Mohammed
International Academic Association Journal of Scientific Research.
Enzyme Production and Characterization
article

Extraction, Characterization and Inhibition Studies of Velvet Beans Urease Enzymes

Abubakar Isa, Isah Labaran, Boutahricht Mohammed
article en

Abstract

Urease enzymes was extracted and studied for possible application as biorecognition element in electrochemical biosensors for heavy metal analysis in water matrix. This research work was based on the fact that heavy metal ions inhibit urease enzymes activity and the amount of inhibition is directly proportional to the concentration of inhibiting species in the sample. Urease enzymes activity and the effects of temperature, pH, enzyme/substrate concentration and incubation time on the urease activity was examined. Maximum urease activity of 10.230 U/mol was obtained at 40 oC and pH 7.5 with 220 µg/L enzyme concentration after 120 min incubation period. The Vmax and Km were estimated as 0.31 mM/min and 125 µg/L respectively. All of the heavy metals tested showed evidence of inhibition on the extracted urease enzymes, highest inhibition 80.541 was observed with Pb2+ and the lowest was 9.42 with Fe2+ meanwhile, no inhibition was observed with low concentration of Cr2+. This research revealed that Velvet beans urease enzymes can be used as biorecognition element in electrochemical biosensors for determination of heavy metal ions in water matrix. We therefore recommend for further electrochemical characterization with glassy carbon electrodes in electrochemical cells. Keywords: – Enzymes activity, Heavy metals, Biosensors, Biorecognition elements, Water matrix

International Academic Association Journal of Scientific Research.Vol. 12(2)
The Federal Polytechnic, Ado-Ekiti (NG)
Clean water and sanitation
Openalex Percentile: Top 77%
Enzyme Production and Characterization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.