Evidence map›Paper›PMID 38566846›Full record

ArticleApplied food research2023

Non-destructive method to classify walnut kernel freshness from volatile organic compound (VOC) emissions using gas chromatography-differential mobility spectrometry (GC-DMS) and machine learning analysis.

Pranay Chakraborty, Eva Borras, Maneeshin Y Rajapakse, Mitchell M McCartney, Matthew Bustamante, Elizabeth J Mitcham, Cristina E Davis

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied food research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
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

7 authors at 2 institutions in 1 country.

Pranay ChakrabortyDepartment of Mechanical and Aerospace Engineering, University of California Davis, Davis, CA, USA.
Eva BorrasDepartment of Mechanical and Aerospace Engineering, University of California Davis, Davis, CA, USA.
Maneeshin Y RajapakseDepartment of Mechanical and Aerospace Engineering, University of California Davis, Davis, CA, USA.
Mitchell M McCartneyDepartment of Mechanical and Aerospace Engineering, University of California Davis, Davis, CA, USA.
Matthew BustamanteDepartment of Plant Sciences, University of California, Davis, Davis, CA, USA.
Elizabeth J MitchamDepartment of Plant Sciences, University of California, Davis, Davis, CA, USA.
Cristina E DavisDepartment of Mechanical and Aerospace Engineering, University of California Davis, Davis, CA, USA.
University of California, Davis · USVA Northern California Health Care System · US

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
UC Davis Environmental Health Sciences Core CenterP30ES023513 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Ameer Taha · 2015 to 2026
$26.0M
Revisiting ReCHARGE: ECHO Follow up on Middle Childhood and AdolescenceUG3OD023365 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BENNETT, DEBORAH HALL, HERTZ-PICCIOTTO, IRVA · 2016 to 2024
$6.4M
Monitoring of disease-induced skin VOC patterns from handheld and wearable chemical sensorsU01TR004083 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CRISTINA ELIZABETH DAVIS, Nicholas J. KENYON · 2022 to 2026
$5.9M
Portable GC detector for breath-based COVID diagnosticsU18TR003795 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DAVIS, CRISTINA ELIZABETH, KENYON, NICHOLAS J. · 2021 to 2022
$1.9M
BLRD VA I01 BX004965NCATS NIH HHS U01 TR004083NCATS NIH HHS U18 TR003795NCATS NIH HHS UL1 TR001860NIEHS NIH HHS P30 ES023513NIH HHS UG3 OD023365
6 · The paper itself

Abstract

Analysis of volatile organic compounds (VOCs) can be an effective strategy to inspect the quality of horticultural commodities and following their degradation. In this work, we report that VOCs emitted by walnuts can be studied using gas chromatography-differential mobility spectrometry (GC-DMS), and those GC-DMS data can be analyzed to predict the rancidity of walnuts, i.e., classify walnuts into grades of freshness. Walnut kernels were assigned a class

Indexed as

differential mobility spectrometrymachine learningmass spectrometryperoxide valuerancidity

Identifiers

PMID38566846
PMCPMC10984333
OpenAlexW4383612861

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.