Evidence map›Paper›PMID 37122562›Full record

ArticleFrontiers in molecular biosciences2023

Volatilomics of raspberry fruit germplasm by combining chromatographic and direct-injection mass spectrometric techniques.

Brian Farneti, Iuliia Khomenko, Matteo Ajelli, Karen Elizabeth Wells, Emanuela Betta, Eugenio Aprea, Lara Giongo, Franco Biasioli

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Brian FarnetiBerries Genetics and Breeding Unit, Research and Innovation Centre of Fondazione Edmund Mach, Trento, Italy.
Iuliia KhomenkoSensory Quality Unit, Research and Innovation Centre of Fondazione Edmund Mach, Trento, Italy.
Matteo AjelliBerries Genetics and Breeding Unit, Research and Innovation Centre of Fondazione Edmund Mach, Trento, Italy.
Karen Elizabeth WellsBerries Genetics and Breeding Unit, Research and Innovation Centre of Fondazione Edmund Mach, Trento, Italy.
Emanuela BettaSensory Quality Unit, Research and Innovation Centre of Fondazione Edmund Mach, Trento, Italy.
Eugenio ApreaSensory Quality Unit, Research and Innovation Centre of Fondazione Edmund Mach, Trento, Italy.
Lara GiongoBerries Genetics and Breeding Unit, Research and Innovation Centre of Fondazione Edmund Mach, Trento, Italy.
Franco BiasioliSensory Quality Unit, Research and Innovation Centre of Fondazione Edmund Mach, Trento, Italy.
Fondazione Edmund Mach · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of direct-injection mass spectrometric (DI-MS) techniques, like Proton Transfer Reaction Time of Flight Mass Spectrometry (PTR-ToF-MS) has been suggested as a reliable phenotyping tool for fruit volatilome assessment in both genetic and quality-related studies. In this study the complexity of raspberry aroma was investigated by a comprehensive untargeted VOC analysis, done by combining SPME-GC-MS and PTR-ToF-MS assessments with multi-block discriminant analysis using the DIABLO mixOmics framework. The aim was to acquire an exhaustive characterization of the raspberry volatilome according to different fruit ripening stages (pink, ripe, and overripe) and genetic variances (50 accessions), as well as to investigate the potential of PTR-ToF-MS as a rapid and high throughput VOC phenotyping tool to address issues related to raspberry fruit quality. Results of this study demonstrated the complementarity between SPME-GC-MS and PTR-ToF-MS techniques to evaluate the raspberry aroma composition. PTR-ToF-MS generates reliable raspberry VOC fingerprints mainly due to a reduced compound fragmentation and precise content estimation. In addition, the high collinearity between isomers of monoterpenes and norisoprenoids, discovered by GC analysis, reduces the main analytic limitation of PTR-ToF-MS of not being able to separate isomeric molecules. The high similarity between the VOC matrices obtained by applying PTR-ToF-MS and SPME-GC-MS confirmed the possibility of using PTR-ToF-MS as a reliable high throughput phenotyping tool for raspberry volatiolome assessment. In addition, results provided by the germplasm collection investigation enabled to distinguish the best performing accessions, based on VOCs composition, to be used as superior parental lines for future breeding programs.

Indexed as

germplasmphenotypingPTR-ToF-MSqualityRubus idaeus L.SPME-GC-MSVOCs

Identifiers

PMID37122562
PMCPMC10133483
OpenAlexW4365455525

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.