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"A review of semi-volatile organic compounds (SVOCs) in the indoor environment: occurrence in consumer products, indoor air and dust"    Next AbstractSensitivity of Aedes aegypti adults (Diptera: Culicidae) to the vapors of Eucalyptus essential oils »

Phytochem Anal


Title:A retention index calculator simplifies identification of plant volatile organic compounds
Author(s):Lucero M; Estell R; Tellez M; Fredrickson E;
Address:"USDA, ARS, Jornada Experimental Range, Las Cruces, NM 88003, USA. malucero@nmsu.edu"
Journal Title:Phytochem Anal
Year:2009
Volume:20
Issue:5
Page Number:378 - 384
DOI: 10.1002/pca.1137
ISSN/ISBN:1099-1565 (Electronic) 0958-0344 (Linking)
Abstract:"INTRODUCTION: Plant volatiles (PVOCs) are important targets for studies in natural products, chemotaxonomy and biochemical ecology. The complexity of PVOC profiles often limits research to studies targeting only easily identified compounds. With the availability of mass spectral libraries and recent growth of retention index (RI) libraries, PVOC identification can be achieved using only gas chromatography coupled to mass spectrometry (GCMS). However, RI library searching is not typically automated, and until recently, RI libraries were both limited in scope and costly to obtain. OBJECTIVE: To automate RI calculation and lookup functions commonly utilised in PVOC analysis. METHODOLOGY: Formulae required for calculating retention indices from retention time data were placed in a spreadsheet along with lookup functions and a retention index library. Retention times obtained from GCMS analysis of alkane standards and Koeberlinia spinosa essential oil were entered into the spreadsheet to determine retention indices. Indices were used in combination with mass spectral analysis to identify compounds contained in Koeberlinia spinosa essential oil. RESULTS: Eighteen compounds were positively identified. Total oil yield was low, with only 5 ppm in purple berries. The most abundant compounds were octen-3-ol and methyl salicylate. The spreadsheet accurately calculated RIs of the detected compounds. CONCLUSION: The downloadable spreadsheet tool developed for this study provides a calculator and RI library that works in conjuction with GCMS or other analytical techniques to identify PVOCs in plant extracts"
Keywords:"*Algorithms Gas Chromatography-Mass Spectrometry Geography Magnoliopsida/*chemistry/growth & development Mass Spectrometry New Mexico Oils, Volatile/analysis/isolation & purification Plant Extracts/analysis/chemistry/isolation & purification Plant Oils/an;"
Notes:"MedlineLucero, Mary Estell, Rick Tellez, Maria Fredrickson, Ed eng England 2009/06/18 Phytochem Anal. 2009 Sep-Oct; 20(5):378-84. doi: 10.1002/pca.1137"

 
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 16-11-2024