Comparison of Signal-to-noise, Blank Determination, and Linear Regression Methods for the Estimation of Detection and Quantification Limits for Volatile Organic Compounds by Gas Chromatography

Limit of detection (LOD) and limit of quantification (LOQ) are two important performance characteristics in method validation. This work compares three methods based on the International Conference of Harmonization (ICH) and EURACHEM guidelines, namely, signal-to-noise, blank determination, and line...

Full description

Saved in:
Bibliographic Details
Main Authors: Sanagi, Mohd Marsin, Ling, Susie L., Nasir, Zalilah, Hermawan, D., Wan Ibrahim, Wan Aini, Abu Naim, Ahmedy
Format: Article
Language:en
Published: 2008
Subjects:
Online Access:http://eprints.utm.my/5670/2/MarsinSanagi20080604_Comparison_of_SNR_Blank_Regression.pdf
http://eprints.utm.my/5670/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1845471428635262976
author Sanagi, Mohd Marsin
Ling, Susie L.
Nasir, Zalilah
Hermawan, D.
Wan Ibrahim, Wan Aini
Abu Naim, Ahmedy
author_facet Sanagi, Mohd Marsin
Ling, Susie L.
Nasir, Zalilah
Hermawan, D.
Wan Ibrahim, Wan Aini
Abu Naim, Ahmedy
author_sort Sanagi, Mohd Marsin
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description Limit of detection (LOD) and limit of quantification (LOQ) are two important performance characteristics in method validation. This work compares three methods based on the International Conference of Harmonization (ICH) and EURACHEM guidelines, namely, signal-to-noise, blank determination, and linear regression, to estimate the LOD and LOQ for volatile organic compounds (VOCs) by experimental methodology using gas chromatography. Five VOCs, i.e. toluene, ethylbenzene, iso-propylbenzene, n-propylbenzene and styrene, were chosen for the experimental study. The results indicated that the estimated LODs and LOQs were not equivalent and could vary by a factor of 5 to 6 for the different methods. It is therefore essential to have a clearly described procedure for estimating the LOD and LOQ during method validation to allow interlaboratory comparisons.
format Article
id my.utm.eprints-5670
institution Universiti Teknologi Malaysia
language en
publishDate 2008
record_format eprints
spelling my.utm.eprints-56702017-09-12T07:23:50Z http://eprints.utm.my/5670/ Comparison of Signal-to-noise, Blank Determination, and Linear Regression Methods for the Estimation of Detection and Quantification Limits for Volatile Organic Compounds by Gas Chromatography Sanagi, Mohd Marsin Ling, Susie L. Nasir, Zalilah Hermawan, D. Wan Ibrahim, Wan Aini Abu Naim, Ahmedy QD Chemistry Limit of detection (LOD) and limit of quantification (LOQ) are two important performance characteristics in method validation. This work compares three methods based on the International Conference of Harmonization (ICH) and EURACHEM guidelines, namely, signal-to-noise, blank determination, and linear regression, to estimate the LOD and LOQ for volatile organic compounds (VOCs) by experimental methodology using gas chromatography. Five VOCs, i.e. toluene, ethylbenzene, iso-propylbenzene, n-propylbenzene and styrene, were chosen for the experimental study. The results indicated that the estimated LODs and LOQs were not equivalent and could vary by a factor of 5 to 6 for the different methods. It is therefore essential to have a clearly described procedure for estimating the LOD and LOQ during method validation to allow interlaboratory comparisons. 2008 Article NonPeerReviewed application/pdf en http://eprints.utm.my/5670/2/MarsinSanagi20080604_Comparison_of_SNR_Blank_Regression.pdf Sanagi, Mohd Marsin and Ling, Susie L. and Nasir, Zalilah and Hermawan, D. and Wan Ibrahim, Wan Aini and Abu Naim, Ahmedy (2008) Comparison of Signal-to-noise, Blank Determination, and Linear Regression Methods for the Estimation of Detection and Quantification Limits for Volatile Organic Compounds by Gas Chromatography. Analytica Chimica Acta . (Unpublished)
spellingShingle QD Chemistry
Sanagi, Mohd Marsin
Ling, Susie L.
Nasir, Zalilah
Hermawan, D.
Wan Ibrahim, Wan Aini
Abu Naim, Ahmedy
Comparison of Signal-to-noise, Blank Determination, and Linear Regression Methods for the Estimation of Detection and Quantification Limits for Volatile Organic Compounds by Gas Chromatography
title Comparison of Signal-to-noise, Blank Determination, and Linear Regression Methods for the Estimation of Detection and Quantification Limits for Volatile Organic Compounds by Gas Chromatography
title_full Comparison of Signal-to-noise, Blank Determination, and Linear Regression Methods for the Estimation of Detection and Quantification Limits for Volatile Organic Compounds by Gas Chromatography
title_fullStr Comparison of Signal-to-noise, Blank Determination, and Linear Regression Methods for the Estimation of Detection and Quantification Limits for Volatile Organic Compounds by Gas Chromatography
title_full_unstemmed Comparison of Signal-to-noise, Blank Determination, and Linear Regression Methods for the Estimation of Detection and Quantification Limits for Volatile Organic Compounds by Gas Chromatography
title_short Comparison of Signal-to-noise, Blank Determination, and Linear Regression Methods for the Estimation of Detection and Quantification Limits for Volatile Organic Compounds by Gas Chromatography
title_sort comparison of signal-to-noise, blank determination, and linear regression methods for the estimation of detection and quantification limits for volatile organic compounds by gas chromatography
topic QD Chemistry
url http://eprints.utm.my/5670/2/MarsinSanagi20080604_Comparison_of_SNR_Blank_Regression.pdf
http://eprints.utm.my/5670/
url_provider http://eprints.utm.my/