Verification of spectrophotometric method for Hg(II) analysis in samples for water quality monitoring

Abstract Due to the toxic nature of mercury and its impacts on humans and the environment, method verification is essential to ensure accurate detection of Hg(II) in water quality monitoring. The purpose of this study was to verify the spectrophotometric method for analysing Hg(II) in aqueous samples using iodide and rhodamine B dye reagents and its application in the quantitation of groundwater samples around the landfill in Kebon Kongok, West Lombok. The verification parameters used were dynamic range, linearity, limit of detection (LOD), limit of quantitation (LOQ), accuracy, and precision. Dynamic range was obtained using a standard solution of 0 to 15 mg/L of Hg(II) with a linear regression line equation of y = 0.0038x + 0.0032 and a correlation coefficient (r) of 0.993. LOD and LOQ were 0.045 mg/L and 0.08 mg/L, respectively. Accuracy was determined through the recovery value (R) of 99.8-103%. The precision value of repeatability was determined using a relative standard deviation (%RSD) of 6%. Applying the spectrophotometric method for quantitating Hg(II) on real samples showed good agreement with the cold vapour-atomic absorption spectrometry (CV-AAS) reference method. The evaluated performance criteria showed that the methodology is verified for routine analysis of Hg(II) in the laboratory.

Authors

Institutions

Publication Details

Journal
IOP Conference Series Earth and Environmental Science
Published
2025-04-01
DOI
https://doi.org/10.1088/1755-1315/1493/1/012004
Primary Topic
Analytical chemistry methods development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Verification of spectrophotometric method for Hg(II) analysis in samples for water quality monitoring

Nurul Ismillayli, Sri Seno Handayani, Dhony Hermanto, Fatmawati Badewi
IOP Conference Series Earth and Environmental Science
Analytical chemistry methods development
article

Verification of spectrophotometric method for Hg(II) analysis in samples for water quality monitoring

Nurul Ismillayli, Sri Seno Handayani, Dhony Hermanto, Fatmawati Badewi
article en

Abstract

Abstract Due to the toxic nature of mercury and its impacts on humans and the environment, method verification is essential to ensure accurate detection of Hg(II) in water quality monitoring. The purpose of this study was to verify the spectrophotometric method for analysing Hg(II) in aqueous samples using iodide and rhodamine B dye reagents and its application in the quantitation of groundwater samples around the landfill in Kebon Kongok, West Lombok. The verification parameters used were dynamic range, linearity, limit of detection (LOD), limit of quantitation (LOQ), accuracy, and precision. Dynamic range was obtained using a standard solution of 0 to 15 mg/L of Hg(II) with a linear regression line equation of y = 0.0038x + 0.0032 and a correlation coefficient (r) of 0.993. LOD and LOQ were 0.045 mg/L and 0.08 mg/L, respectively. Accuracy was determined through the recovery value (R) of 99.8-103%. The precision value of repeatability was determined using a relative standard deviation (%RSD) of 6%. Applying the spectrophotometric method for quantitating Hg(II) on real samples showed good agreement with the cold vapour-atomic absorption spectrometry (CV-AAS) reference method. The evaluated performance criteria showed that the methodology is verified for routine analysis of Hg(II) in the laboratory.

IOP Conference Series Earth and Environmental ScienceVol. 1493(1)
University of Mataram (ID)
Openalex Percentile: Top 60%
Analytical chemistry methods development
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.