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 AbstractTriazine-based graphitic carbon nitride: controllable synthesis and enhanced cataluminescent sensing for formic acid    Next AbstractVolatile-Based Prediction of Sauvignon Blanc Quality Gradings with Static Headspace-Gas Chromatography-Ion Mobility Spectrometry (SHS-GC-IMS) and Interpretable Machine Learning Techniques »

J Agric Food Chem


Title:Validation Study on the Simultaneous Quantitation of Multiple Wine Aroma Compounds with Static Headspace-Gas Chromatography-Ion Mobility Spectrometry
Author(s):Zhu W; Benkwitz F; Sarmadi B; Kilmartin PA;
Address:"Wine Science Programme, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand. Kim Crawford Winery, Constellation Brands NZ, 237 Hammerichs Road, Blenheim 7273, New Zealand"
Journal Title:J Agric Food Chem
Year:2021
Volume:20211207
Issue:49
Page Number:15020 - 15035
DOI: 10.1021/acs.jafc.1c06411
ISSN/ISBN:1520-5118 (Electronic) 0021-8561 (Linking)
Abstract:"A new quantitative method based on static headspace-gas chromatography-ion mobility spectrometry (SHS-GC-IMS) is proposed, which enables the simultaneous quantitation of multiple aroma compounds in wine. The method was first evaluated for its stability and the necessity of using internal standards as a quality control measure. The two major hurdles in applying GC-IMS in quantitation studies, namely, nonlinearity and multiple ion species, were also investigated using the Boltzmann function and generalized additive model (GAM) as potential solutions. Metrics characterizing the model performance, including root mean squared error, bias, limit of detection, limit of quantitation, repeatability, reproducibility, and recovery, were investigated. Both nonlinear fitting methods, Boltzmann function and GAM, were able to return desirable analytical outcomes with an acceptable range of error. Potential pitfalls that would cause inaccurate quantitation, that is, effects of ethanol content and competitive ionization, were also discussed. The performance of the SHS-GC-IMS method was subsequently compared against that of a currently established method, namely, GC-MS, using commercial wine samples. These findings provide an initial validation of a GC-IMS-based quantitation method, as well as a starting point for further enhancing the analytical scope of GC-IMS"
Keywords:Gas Chromatography-Mass Spectrometry Ion Mobility Spectrometry Odorants/analysis Reproducibility of Results *Volatile Organic Compounds/analysis *Wine/analysis method comparison method development and validation quantitative analysis static headspace-gas;
Notes:"MedlineZhu, Wenyao Benkwitz, Frank Sarmadi, Bahareh Kilmartin, Paul A eng 2021/12/08 J Agric Food Chem. 2021 Dec 15; 69(49):15020-15035. doi: 10.1021/acs.jafc.1c06411. Epub 2021 Dec 7"

 
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 17-11-2024