Enlarging Knowledge on Lager Beer Volatile Metabolites Using Multidimensional Gas Chromatography
Foodomics, emergent field of metabolomics, has been applied to study food system processes, and it may be useful to understand sensorial food properties, among others, through foods metabolites profiling. Thus, as beer volatile components represent the major contributors for beer overall and peculia...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/9/9/1276 |
| _version_ | 1797554029509738496 |
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| author | Cátia Martins Tiago Brandão Adelaide Almeida Sílvia M. Rocha |
| author_facet | Cátia Martins Tiago Brandão Adelaide Almeida Sílvia M. Rocha |
| author_sort | Cátia Martins |
| collection | DOAJ |
| description | Foodomics, emergent field of metabolomics, has been applied to study food system processes, and it may be useful to understand sensorial food properties, among others, through foods metabolites profiling. Thus, as beer volatile components represent the major contributors for beer overall and peculiar aroma properties, this work intends to perform an in-depth profiling of lager beer volatile metabolites and to generate new data that may contribute for molecules’ identification, by using multidimensional gas chromatography. A set of lager beers were used as case-study, and 329 volatile metabolites were determined, distributed over 8 chemical families: acids, alcohols, esters, monoterpenic compounds, norisoprenoids, sesquiterpenic compounds, sulfur compounds, and volatile phenols. From these, 96 compounds are reported for the first time in the lager beer volatile composition. Around half of them were common to all beers under study. Clustering analysis allowed a beer typing according to production system: macro- and microbrewer beers. Monoterpenic and sesquiterpenic compounds were the chemical families that showed wide range of chemical structures, which may contribute for the samples’ peculiar aroma characteristics. In summary, as far as we know, this study presents the most in-depth lager beer volatile composition, which may be further used in several approaches, namely, in beer quality control, monitoring brewing steps, raw materials composition, among others. |
| first_indexed | 2024-03-10T16:25:00Z |
| format | Article |
| id | doaj.art-ed1bc7cf78ae472fa805325ff154a4e1 |
| institution | Directory Open Access Journal |
| issn | 2304-8158 |
| language | English |
| last_indexed | 2024-03-10T16:25:00Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj.art-ed1bc7cf78ae472fa805325ff154a4e12023-11-20T13:22:56ZengMDPI AGFoods2304-81582020-09-0199127610.3390/foods9091276Enlarging Knowledge on Lager Beer Volatile Metabolites Using Multidimensional Gas ChromatographyCátia Martins0Tiago Brandão1Adelaide Almeida2Sílvia M. Rocha3Departamento de Química & LAQV-REQUIMTE, Universidade de Aveiro, Campus Universitário Santiago, 3810-193 Aveiro, PortugalSuper Bock Group, Rua do Mosteiro, 4465-703 Leça do Balio, PortugalDepartamento de Biologia & CESAM, Universidade de Aveiro, Campus Universitário Santiago, 3810-193 Aveiro, PortugalDepartamento de Química & LAQV-REQUIMTE, Universidade de Aveiro, Campus Universitário Santiago, 3810-193 Aveiro, PortugalFoodomics, emergent field of metabolomics, has been applied to study food system processes, and it may be useful to understand sensorial food properties, among others, through foods metabolites profiling. Thus, as beer volatile components represent the major contributors for beer overall and peculiar aroma properties, this work intends to perform an in-depth profiling of lager beer volatile metabolites and to generate new data that may contribute for molecules’ identification, by using multidimensional gas chromatography. A set of lager beers were used as case-study, and 329 volatile metabolites were determined, distributed over 8 chemical families: acids, alcohols, esters, monoterpenic compounds, norisoprenoids, sesquiterpenic compounds, sulfur compounds, and volatile phenols. From these, 96 compounds are reported for the first time in the lager beer volatile composition. Around half of them were common to all beers under study. Clustering analysis allowed a beer typing according to production system: macro- and microbrewer beers. Monoterpenic and sesquiterpenic compounds were the chemical families that showed wide range of chemical structures, which may contribute for the samples’ peculiar aroma characteristics. In summary, as far as we know, this study presents the most in-depth lager beer volatile composition, which may be further used in several approaches, namely, in beer quality control, monitoring brewing steps, raw materials composition, among others.https://www.mdpi.com/2304-8158/9/9/1276lager beervolatile metabolitesfoodomicsbeer typingHS-SPMEGC×GC-ToFMS |
| spellingShingle | Cátia Martins Tiago Brandão Adelaide Almeida Sílvia M. Rocha Enlarging Knowledge on Lager Beer Volatile Metabolites Using Multidimensional Gas Chromatography Foods lager beer volatile metabolites foodomics beer typing HS-SPME GC×GC-ToFMS |
| title | Enlarging Knowledge on Lager Beer Volatile Metabolites Using Multidimensional Gas Chromatography |
| title_full | Enlarging Knowledge on Lager Beer Volatile Metabolites Using Multidimensional Gas Chromatography |
| title_fullStr | Enlarging Knowledge on Lager Beer Volatile Metabolites Using Multidimensional Gas Chromatography |
| title_full_unstemmed | Enlarging Knowledge on Lager Beer Volatile Metabolites Using Multidimensional Gas Chromatography |
| title_short | Enlarging Knowledge on Lager Beer Volatile Metabolites Using Multidimensional Gas Chromatography |
| title_sort | enlarging knowledge on lager beer volatile metabolites using multidimensional gas chromatography |
| topic | lager beer volatile metabolites foodomics beer typing HS-SPME GC×GC-ToFMS |
| url | https://www.mdpi.com/2304-8158/9/9/1276 |
| work_keys_str_mv | AT catiamartins enlargingknowledgeonlagerbeervolatilemetabolitesusingmultidimensionalgaschromatography AT tiagobrandao enlargingknowledgeonlagerbeervolatilemetabolitesusingmultidimensionalgaschromatography AT adelaidealmeida enlargingknowledgeonlagerbeervolatilemetabolitesusingmultidimensionalgaschromatography AT silviamrocha enlargingknowledgeonlagerbeervolatilemetabolitesusingmultidimensionalgaschromatography |