Optimization and validation of an HS-SPME/GC-MS method for determining volatile organic compounds in dry-cured ham

The formation of volatile organic compounds (VOCs) in dry-cured ham is a result of different biochemical and enzymatic processes. Moreover, accurately quantifying these VOCs is challenging since ham is a complex matrix, which contains compounds from various chemical families and a wide range of vola...

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Main Authors: Katja Babič, Lidija Strojnik, Andrija Ćirić, Nives Ogrinc
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Nutrition
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2024.1342417/full
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author Katja Babič
Katja Babič
Lidija Strojnik
Andrija Ćirić
Nives Ogrinc
Nives Ogrinc
author_facet Katja Babič
Katja Babič
Lidija Strojnik
Andrija Ćirić
Nives Ogrinc
Nives Ogrinc
author_sort Katja Babič
collection DOAJ
description The formation of volatile organic compounds (VOCs) in dry-cured ham is a result of different biochemical and enzymatic processes. Moreover, accurately quantifying these VOCs is challenging since ham is a complex matrix, which contains compounds from various chemical families and a wide range of volatilities of different molecular masses. In this study, we systematically optimized and validated an analytical method for quantifying VOCs in dry-cured ham using headspace solid phase microextraction (HS-SPME) coupled with gas chromatography-mass spectrometry (GC-MS). Optimal SPME conditions were determined through both an experimental procedure (one-factor-at-a-time) and response surface methodology (RSM), revealing that a 60-min equilibration at 70°C, a 60-min extraction at the same temperature, and a 4-min desorption time at 250°C provided the most favorable results. To enhance quantitation, twelve multiple internal standards (ISTDs) were employed to address and improve the quantitation of the 12 VOCs. Method validation covered aspects of linearity, limits of detection (LOD: 0.03–1.13 mg kg−1), limits of quantitation (LOQ: 0.09–3.41 mg kg−1), and working ranges (0.01–19.1 mg kg−1). The practical application of this optimized method was demonstrated by analyzing dry-cured ham samples (n = 4), sourced from the Slovenian market. The initial statistical evaluation indicates that different types of dry-cured hams can be differentiated (with an 83.1% of accuracy) according to their aromatic profile. However, a larger sample size would be required to provide a more comprehensive assessment.
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spelling doaj.art-94436f5e3659496fb43294610053383f2024-02-01T04:39:24ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2024-02-011110.3389/fnut.2024.13424171342417Optimization and validation of an HS-SPME/GC-MS method for determining volatile organic compounds in dry-cured hamKatja Babič0Katja Babič1Lidija Strojnik2Andrija Ćirić3Nives Ogrinc4Nives Ogrinc5Jožef Stefan International Postgraduate School, Ljubljana, SloveniaDepartment of Environmental Sciences, Jožef Stefan Institute, Ljubljana, SloveniaDepartment of Environmental Sciences, Jožef Stefan Institute, Ljubljana, SloveniaDepartment of Chemistry, Faculty of Science, University of Kragujevac, Kragujevac, SerbiaJožef Stefan International Postgraduate School, Ljubljana, SloveniaDepartment of Environmental Sciences, Jožef Stefan Institute, Ljubljana, SloveniaThe formation of volatile organic compounds (VOCs) in dry-cured ham is a result of different biochemical and enzymatic processes. Moreover, accurately quantifying these VOCs is challenging since ham is a complex matrix, which contains compounds from various chemical families and a wide range of volatilities of different molecular masses. In this study, we systematically optimized and validated an analytical method for quantifying VOCs in dry-cured ham using headspace solid phase microextraction (HS-SPME) coupled with gas chromatography-mass spectrometry (GC-MS). Optimal SPME conditions were determined through both an experimental procedure (one-factor-at-a-time) and response surface methodology (RSM), revealing that a 60-min equilibration at 70°C, a 60-min extraction at the same temperature, and a 4-min desorption time at 250°C provided the most favorable results. To enhance quantitation, twelve multiple internal standards (ISTDs) were employed to address and improve the quantitation of the 12 VOCs. Method validation covered aspects of linearity, limits of detection (LOD: 0.03–1.13 mg kg−1), limits of quantitation (LOQ: 0.09–3.41 mg kg−1), and working ranges (0.01–19.1 mg kg−1). The practical application of this optimized method was demonstrated by analyzing dry-cured ham samples (n = 4), sourced from the Slovenian market. The initial statistical evaluation indicates that different types of dry-cured hams can be differentiated (with an 83.1% of accuracy) according to their aromatic profile. However, a larger sample size would be required to provide a more comprehensive assessment.https://www.frontiersin.org/articles/10.3389/fnut.2024.1342417/fulldry-cured hamHS-SPME/GC-MSoptimizationresponse surface methodologyvalidation
spellingShingle Katja Babič
Katja Babič
Lidija Strojnik
Andrija Ćirić
Nives Ogrinc
Nives Ogrinc
Optimization and validation of an HS-SPME/GC-MS method for determining volatile organic compounds in dry-cured ham
Frontiers in Nutrition
dry-cured ham
HS-SPME/GC-MS
optimization
response surface methodology
validation
title Optimization and validation of an HS-SPME/GC-MS method for determining volatile organic compounds in dry-cured ham
title_full Optimization and validation of an HS-SPME/GC-MS method for determining volatile organic compounds in dry-cured ham
title_fullStr Optimization and validation of an HS-SPME/GC-MS method for determining volatile organic compounds in dry-cured ham
title_full_unstemmed Optimization and validation of an HS-SPME/GC-MS method for determining volatile organic compounds in dry-cured ham
title_short Optimization and validation of an HS-SPME/GC-MS method for determining volatile organic compounds in dry-cured ham
title_sort optimization and validation of an hs spme gc ms method for determining volatile organic compounds in dry cured ham
topic dry-cured ham
HS-SPME/GC-MS
optimization
response surface methodology
validation
url https://www.frontiersin.org/articles/10.3389/fnut.2024.1342417/full
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