Selected Ion Flow Tube Mass Spectrometry (SIFT-MS): a promising technology for the high throughput phenotyping of grape berry volatile fingerprints

Abstract

Over the last decade, there have been renewed efforts into wine grape breeding within the research community. Quick characterisation by phenotyping of quality traits, including aroma composition, remains challenging. Selected Ion Flow Tube Mass Spectrometry (SIFT-MS), a high throughput soft ionisation technology first available in 2008, could be particularly useful for this purpose. In light of this, this technical article summarises recent results obtained with SIFT-MS.

Plant phenotyping relevance

SIFT-MSを用いたブドウ果実の揮発性指紋のハイスループット表現型解析が記事の中心であり、品質形質（香気組成）の取得技術を扱っている。

Code and data availability

This technical review summarizes SIFT-MS grape berry volatile fingerprinting but contains no public phenotype dataset, sensor/image inputs, author code, models, or supplement with such assets. Figures 2-3 are in-article illustrations, and cited works (e.g., the 2022 Food Research International and OENO One papers) are,

No evidence-backed public reproduction asset is currently recorded.