Evidence map›Paper›PMID 39967893›Full record

ArticleRSC advances2025

Quantitative NMR for detection of spinosad residues in agricultural soils.

Tushar Janardan Pawar, Siuly Xenia Ramos-Cruz, Israel Bonilla-Landa, Ghazala Muteeb, Enrique Delgado-Alvarado, Sachin V Patil, Irving David Perez-Landa, José Luis Olivares-Romero

Abstract read
In one paragraph

Article in RSC advances, 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

8 authors.

Tushar Janardan PawarRed de Estudios Moleculares Avanzados, Instituto de Ecología A.C., Carretera Antigua a Coatepec 351 Xalapa Veracruz 91073 Mexico jose.olivares@inecol.mx.ORCID https://orcid.org/0000-0003-0753-9538
Siuly Xenia Ramos-CruzRed de Estudios Moleculares Avanzados, Instituto de Ecología A.C., Carretera Antigua a Coatepec 351 Xalapa Veracruz 91073 Mexico jose.olivares@inecol.mx.
Israel Bonilla-LandaRed de Estudios Moleculares Avanzados, Instituto de Ecología A.C., Carretera Antigua a Coatepec 351 Xalapa Veracruz 91073 Mexico jose.olivares@inecol.mx.
Ghazala MuteebDepartment of Nursing, College of Applied Medical Sciences, King Faisal University Al-Ahsa Saudi Arabia.ORCID https://orcid.org/0000-0002-3328-3559
Enrique Delgado-AlvaradoMicro and Nanotechnology Research Center, Universidad Veracruzana Blvd. Av. Ruiz Cortines No. 455 Fracc. Costa Verde Boca del Río Veracruz 94294 Mexico.ORCID https://orcid.org/0000-0002-6354-5222
Sachin V PatilDepartment of Chemistry, Research Centre HPT Arts and RYK Science College (Affiliated to S. P. Pune University) Nashik Maharashtra 422005 India.ORCID https://orcid.org/0009-0001-3751-8212
Irving David Perez-LandaTecnológico Nacional de México/Instituto Tecnológico de Boca del Río Carretera Veracruz-Córdoba 12 Boca del Río Veracruz 94290 Mexico.ORCID https://orcid.org/0000-0002-5240-5371
José Luis Olivares-RomeroRed de Estudios Moleculares Avanzados, Instituto de Ecología A.C., Carretera Antigua a Coatepec 351 Xalapa Veracruz 91073 Mexico jose.olivares@inecol.mx.ORCID https://orcid.org/0000-0001-7389-3514

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring pesticide residues in soil is crucial for ensuring food safety and environmental sustainability. Spinosad, widely used in sustainable agriculture due to its selective toxicity and reduced environmental impact, poses detection challenges with traditional chromatographic methods, which require extensive sample preparation and are destructive. This study evaluates quantitative nuclear magnetic resonance (qNMR) as a non-destructive, efficient method for spinosad quantification in soil samples, emphasizing its potential for routine environmental monitoring. The qNMR method was validated with an 88% recovery rate for spinosad in agricultural soils, a limit of detection (LOD) of 0.0414 mg mL

Identifiers

PMID39967893
PMCPMC11834155

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Registered trials

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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.