{
  "abstract": "Selected ion flow tube mass spectrometry (SIFT-MS) is a promising high-throughput technology to phenotype individuals for their berry aroma composition. However, no large-scale study has been conducted so far under greenhouse semi-controlled environmental conditions. The aim of this work was to assess the SIFT-MS volatilome of 141 Vitis vinifera varieties grown under such conditions and selected from a diversity panel distributed across three genetic groups (TE, Table East; WE, Wine East; WW, Wine West). Two-berry samples were analysed dynamically using O2+ as reagent ion and a 40 min equilibrium phase at 70 °C. Variability in normalised SIFT-MS data per berry weight among replicate plants of the same variety was low despite notable differences in sugar concentration. Samples clustered into only two groups, with Cluster 1 (C1, n = 91) showing lower abundances for all m/z and more TE varieties, and Cluster 2 (C2, n = 50) exhibiting a greater richness in volatiles and including a larger proportion of WW varieties. This simple binary pattern may reflect the biological continuum of the studied panel, which may be particularly highlighted under controlled-environment growth conditions. Compared to C1, varieties in C2 also showed higher sugar content and smaller berry size. These preliminary findings highlight the potential of SIFT-MS for large-scale phenotyping of single berries and genetic studies of aroma compound abundance, while calling for further validation, complementary GC-MS approaches, and investigation across berry maturation.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 14,
  "authors": [
    {
      "name": "Thomas Baerenzung Dit Baron"
    },
    {
      "name": "Amal Chikri"
    },
    {
      "name": "Olivier Rodrigues"
    },
    {
      "name": "Alban Jacques"
    },
    {
      "name": "Aurélie Roland"
    },
    {
      "name": "Flora Tavernier"
    },
    {
      "name": "Charles Romieu"
    },
    {
      "name": "Vincent Segura"
    },
    {
      "name": "Dominique This"
    },
    {
      "name": "Roberto Bacilieri"
    },
    {
      "name": "Agnès Doliguez"
    },
    {
      "name": "Thierry Simoneau"
    },
    {
      "name": "Aude Coupel-Ledru"
    },
    {
      "name": "Olivier Geffroy"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5ym478r8jbzga.bib",
  "cited_by": 0,
  "doi": "10.20870/oeno-one.2026.60.3.9987",
  "fulltext_url": null,
  "id": "5ym478r8jbzga",
  "issns": [
    "2494-1271"
  ],
  "landing_url": "https://hal.science/hal-05800810v1",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.sde"
    ],
    [
      "openalex",
      "1110|Horticultural and Viticultural Research"
    ]
  ],
  "openalex": "W7213433900",
  "pdf_url": "https://hal.science/hal-05800810/document",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-16",
  "publisher": "International Viticulture and Enology Society (IVES)",
  "ris": "https://research.draconitic.com/paper/5ym478r8jbzga.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:58Z",
      "native_id": "hal-05800810",
      "source": "hal",
      "url": "https://hal.science/hal-05800810v1"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "hal:0.sde",
      "subfield": "environmental-science"
    }
  ],
  "title": "Large-scale SIFT-MS volatile profiling of Vitis vinifera berries grown under greenhouse semi-controlled conditions",
  "title_text": "Large-scale SIFT-MS volatile profiling of Vitis vinifera berries grown under greenhouse semi-controlled conditions",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:58Z",
  "url": "https://research.draconitic.com/paper/5ym478r8jbzga",
  "venue": "OENO One",
  "versions": []
}