Evidence map›Paper›PMID 40072947›Full record

ArticlePloS one2025

Stable isotopes as a predictor for organic or conventional classification of berries and vegetables.

Xia Zhu-Barker, Michael Liou, Diana Zapata, Jingyi Huang, William R Horwath

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Xia Zhu-BarkerDepartment of Soil and Environmental Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0001-9050-3696
Michael LiouDepartment of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Diana ZapataDepartment of Land, Air and Water Resources, University of California-Davis, Davis, California, United States of America.
Jingyi HuangDepartment of Soil and Environmental Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0002-1209-9699
William R HorwathDepartment of Land, Air and Water Resources, University of California-Davis, Davis, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organic agriculture is expanding worldwide, driven by expectations of improving food quality and soil health. However, while organic certification by regulatory bodies such as the United States Department of Agriculture and the European Union confirms compliance with organic standards that prohibit synthetic chemical inputs, there is limited oversight to verify that organic practices, such as the use of authentic organic fertilizer sources, are consistently applied at the field level. This study investigated the elemental content of carbon (C) and nitrogen (N) and their stable isotopes (δ13C and δ15N) in seven different crops grown under organic or conventional practices to assess their applicability as a screening tool to verify the authenticity of organic labeled produce. Holm corrected Welch t-tests and a generalized linear mixed model (GLMM) were used to assess the potential of stable isotope or crop elemental content to differentiate organic vs. conventional production systems. Total C and N content or C/N ratio was not significantly different between production systems or among geographic origins for most crops. However, the average N stable isotope (δ15N) content differed, with conventional crops at 1.8 ±  2.2‰ and organic at 6.0 ±  3.4‰. A mixed model incorporating elemental contents and stable isotopes identified δ15N as the primary predictor in discriminating organic and conventional production systems. A δ15N threshold is suggested to differentiate conventional from organic grown raspberries (δ15N <  2.17‰) and strawberries (δ15N <  3.22‰), for an estimated false negative rate of 1%. Although further evaluation is needed, our extensive dataset (n = 791) captures key predictors of agricultural production systems and holds potential as a benchmark for future organic production verification.

Indexed as

FruitOrganic AgricultureVegetablesCarbon IsotopesCrops, AgriculturalNitrogen IsotopesCarbon IsotopesNitrogen Isotopes

Identifiers

PMID40072947
PMCPMC11902282

What OpenQuestion holds

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LicenceCC BY
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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.