Evidence map›Paper›PMID 40794527›Full record

ArticleACS sensors2025

Metallic Nitride Microfluidic e-Tongue: A Novel Selective Approach for the Detection of Macronutrients in Soil.

Carla D Boeira, Leonardo M Leidens, Endel E Carvalho Costa, Maria H Gonçalves, Amanda S Perillo, Felipe A Ferraz, Maria C Marchi, Flavio M Shimizu, Lucas R Amaral, Fernando Alvarez and 1 more

Abstract read
In one paragraph

Article in ACS sensors, 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

11 authors.

Carla D BoeiraInstituto de Física 'Gleb Wataghin' (IFGW), Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo 13083-970, Brazil.ORCID 0000-0002-8140-7341
Leonardo M LeidensInstituto de Física 'Gleb Wataghin' (IFGW), Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo 13083-970, Brazil.ORCID 0000-0003-4552-1013
Endel E Carvalho CostaInstituto de Física 'Gleb Wataghin' (IFGW), Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo 13083-970, Brazil.ORCID 0009-0005-6316-8665
Maria H GonçalvesInstituto de Física 'Gleb Wataghin' (IFGW), Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo 13083-970, Brazil.
Amanda S PerilloInstituto de Física 'Gleb Wataghin' (IFGW), Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo 13083-970, Brazil.
Felipe A FerrazInstituto de Física 'Gleb Wataghin' (IFGW), Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo 13083-970, Brazil.
Maria C MarchiUniversidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Química Inorgánica, Analítica y Química Física, Buenos Aires C1428EGA, Argentina.
Flavio M ShimizuInstituto de Física 'Gleb Wataghin' (IFGW), Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo 13083-970, Brazil.ORCID 0000-0002-4833-9893
Lucas R AmaralSchool of Agronomic Engineering (FEAGRI), Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo 13083-875, Brazil.
Fernando AlvarezInstituto de Física 'Gleb Wataghin' (IFGW), Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo 13083-970, Brazil.ORCID 0000-0002-9393-1298
Antonio RiulInstituto de Física 'Gleb Wataghin' (IFGW), Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo 13083-970, Brazil.ORCID 0000-0002-9760-1851

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing global demand for food requires optimizing agricultural practices and more rational use of natural resources without expanding cropping areas. Precision agriculture (PA) tools are essential for accurately applying fertilizers and herbicides, reducing costs, and avoiding environmental impacts. Standard macronutrient mapping methods are costly and time-consuming, limiting denser sampling collection in the field. Consequently, devices employing new materials with specific properties matching sensitivity to agricultural nutrients, robustness to face intensive climatic variations, and economical manufacturing viability are mandatory. In this sense, microfluidic impedimetric e-tongues have emerged as practical tools in PA due to their high sensitivity, adaptability, affordability, and ease of use. These sensors provide rapid qualitative and quantitative results in liquid media, with applications extending to food analysis, environmental monitoring, and biosensing. Here, metallic nitride thin films (CrN, BN, and TiN) deposited via physical vapor deposition (PVD) using the glancing angle deposition (GLAD) technique are applied as sensing units presenting high sensitivity, controlled micro- and nanostructures, durability, reproducibility, and mechanical robustness, essential characteristics for future on-site soil analyses. The GLAD technique allows precise control over the micro- and nanostructures deposited on gold interdigitated electrodes to create molecular sieves for a possible capture of target species (e.g., K

Indexed as

Electronic NoseLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesNutrientsSoilNitrilescyanogenNitrilesNutrientsSoile-tongueGLADnitridesprecision agriculturesupervised learning methods

Identifiers

PMID40794527
PMCPMC12379182

What OpenQuestion holds

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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.