Sensomics-Assisted Aroma Decoding of Pea Protein Isolates (<i>Pisum sativum</i> L.)
The aroma of pea protein (<i>Pisum sativum</i> L.) was decrypted for knowledge-based flavor optimization of new food products containing pea protein. Sensomics helped to determine several volatiles via ultra-high performance liquid chromatography tandem mass spectrometry and 3-nitropheny...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/11/3/412 |
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| author | Florian Utz Andrea Spaccasassi Johanna Kreissl Timo D. Stark Caren Tanger Ulrich Kulozik Thomas Hofmann Corinna Dawid |
| author_facet | Florian Utz Andrea Spaccasassi Johanna Kreissl Timo D. Stark Caren Tanger Ulrich Kulozik Thomas Hofmann Corinna Dawid |
| author_sort | Florian Utz |
| collection | DOAJ |
| description | The aroma of pea protein (<i>Pisum sativum</i> L.) was decrypted for knowledge-based flavor optimization of new food products containing pea protein. Sensomics helped to determine several volatiles via ultra-high performance liquid chromatography tandem mass spectrometry and 3-nitrophenylhydrazine derivatization. Among the investigated volatiles, representatives of aldehydes, ketones, and acids were reported in literature as especially important in pea and pea-related matrices. After validation of the method and quantitation of the corresponding analytes, sensory reconstitution as well as omission studies of a selected pea protein were performed and revealed nine odor-active compounds as key food odorants (3-methylbutanal, hexanal, acetaldehyde, (<i>E,E</i>)-2,4-nonadienal, (<i>E</i>)-2-octenal, benzaldehyde, heptanal, 2-methylbutanal, and nonanoic acid). Interestingly, eight out of nine compounds belonged to the chemical class of aldehydes. Statistical heatmap and cluster analysis of all odor activity values of different pea proteins confirmed the obtained sensory results and generalize these nine key food odorants in other pea proteins. The knowledge of key components gained shows potential for simplifying industrial flavor optimization of pea protein-based food. |
| first_indexed | 2024-03-09T23:52:22Z |
| format | Article |
| id | doaj.art-3073ac14f440493e962a8fc0e85fd4a1 |
| institution | Directory Open Access Journal |
| issn | 2304-8158 |
| language | English |
| last_indexed | 2024-03-09T23:52:22Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj.art-3073ac14f440493e962a8fc0e85fd4a12023-11-23T16:30:30ZengMDPI AGFoods2304-81582022-01-0111341210.3390/foods11030412Sensomics-Assisted Aroma Decoding of Pea Protein Isolates (<i>Pisum sativum</i> L.)Florian Utz0Andrea Spaccasassi1Johanna Kreissl2Timo D. Stark3Caren Tanger4Ulrich Kulozik5Thomas Hofmann6Corinna Dawid7Chair of Food Chemistry and Molecular Sensory Science, TUM School of Life Sciences, Technical University of Munich, Lise-Meitner-Straße 34, 85354 Freising, GermanyChair of Food Chemistry and Molecular Sensory Science, TUM School of Life Sciences, Technical University of Munich, Lise-Meitner-Straße 34, 85354 Freising, GermanyLeibniz-Institute for Food Systems Biology at the Technical University of Munich, Lise-Meitner-Straße 34, 85354 Freising, GermanyChair of Food Chemistry and Molecular Sensory Science, TUM School of Life Sciences, Technical University of Munich, Lise-Meitner-Straße 34, 85354 Freising, GermanyChair of Food and Bioprocess Engineering, TUM School of Life Sciences, Technical University of Munich, Weihenstephaner Berg 1, 85354 Freising, GermanyChair of Food and Bioprocess Engineering, TUM School of Life Sciences, Technical University of Munich, Weihenstephaner Berg 1, 85354 Freising, GermanyChair of Food Chemistry and Molecular Sensory Science, TUM School of Life Sciences, Technical University of Munich, Lise-Meitner-Straße 34, 85354 Freising, GermanyChair of Food Chemistry and Molecular Sensory Science, TUM School of Life Sciences, Technical University of Munich, Lise-Meitner-Straße 34, 85354 Freising, GermanyThe aroma of pea protein (<i>Pisum sativum</i> L.) was decrypted for knowledge-based flavor optimization of new food products containing pea protein. Sensomics helped to determine several volatiles via ultra-high performance liquid chromatography tandem mass spectrometry and 3-nitrophenylhydrazine derivatization. Among the investigated volatiles, representatives of aldehydes, ketones, and acids were reported in literature as especially important in pea and pea-related matrices. After validation of the method and quantitation of the corresponding analytes, sensory reconstitution as well as omission studies of a selected pea protein were performed and revealed nine odor-active compounds as key food odorants (3-methylbutanal, hexanal, acetaldehyde, (<i>E,E</i>)-2,4-nonadienal, (<i>E</i>)-2-octenal, benzaldehyde, heptanal, 2-methylbutanal, and nonanoic acid). Interestingly, eight out of nine compounds belonged to the chemical class of aldehydes. Statistical heatmap and cluster analysis of all odor activity values of different pea proteins confirmed the obtained sensory results and generalize these nine key food odorants in other pea proteins. The knowledge of key components gained shows potential for simplifying industrial flavor optimization of pea protein-based food.https://www.mdpi.com/2304-8158/11/3/412pea protein aromaaldehydeshigh-throughput UHPLC-MS/MSbig data analysissustainable and innovative food |
| spellingShingle | Florian Utz Andrea Spaccasassi Johanna Kreissl Timo D. Stark Caren Tanger Ulrich Kulozik Thomas Hofmann Corinna Dawid Sensomics-Assisted Aroma Decoding of Pea Protein Isolates (<i>Pisum sativum</i> L.) Foods pea protein aroma aldehydes high-throughput UHPLC-MS/MS big data analysis sustainable and innovative food |
| title | Sensomics-Assisted Aroma Decoding of Pea Protein Isolates (<i>Pisum sativum</i> L.) |
| title_full | Sensomics-Assisted Aroma Decoding of Pea Protein Isolates (<i>Pisum sativum</i> L.) |
| title_fullStr | Sensomics-Assisted Aroma Decoding of Pea Protein Isolates (<i>Pisum sativum</i> L.) |
| title_full_unstemmed | Sensomics-Assisted Aroma Decoding of Pea Protein Isolates (<i>Pisum sativum</i> L.) |
| title_short | Sensomics-Assisted Aroma Decoding of Pea Protein Isolates (<i>Pisum sativum</i> L.) |
| title_sort | sensomics assisted aroma decoding of pea protein isolates i pisum sativum i l |
| topic | pea protein aroma aldehydes high-throughput UHPLC-MS/MS big data analysis sustainable and innovative food |
| url | https://www.mdpi.com/2304-8158/11/3/412 |
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