Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous Abstract"Caenorhabditis elegans susceptibility to Daldinia cf. concentrica bioactive volatiles is coupled with expression activation of the stress-response transcription factor daf-16, a part of distinct nematicidal action"    Next AbstractDirect and indirect resistance of sugarcane to Diatraea saccharalis induced by jasmonic acid »

J AOAC Int


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"
Author(s):Sanagi MM; Ling SL; Nasir Z; Hermawan D; Ibrahim WA; Abu Naim A;
Address:"Universiti Teknologi Malaysia, Department of Chemistry, Faculty of Science, 81310 UTM Skudai, Johor, Malaysia. marsin@kimia.fs.utm.my"
Journal Title:J AOAC Int
Year:2009
Volume:92
Issue:6
Page Number:1833 - 1838
DOI:
ISSN/ISBN:1060-3271 (Print) 1060-3271 (Linking)
Abstract:"LOD and LOQ are two important performance characteristics in method validation. This work compares three methods based on the International Conference on Harmonization 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 GC. Five VOCs, toluene, ethylbenzene, isopropylbenzene, 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"
Keywords:"Algorithms Chromatography, Gas Data Interpretation, Statistical Indicators and Reagents Least-Squares Analysis Linear Models Organic Chemicals/*analysis Reference Standards;"
Notes:"MedlineSanagi, M Marsin Ling, Susie L Nasir, Zalilah Hermawan, Dadan Ibrahim, Wan Aini Wan Abu Naim, Ahmedy eng Comparative Study Research Support, Non-U.S. Gov't England 2010/02/20 J AOAC Int. 2009 Nov-Dec; 92(6):1833-8"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 01-07-2024