Evidence map›Paper›PMID 35684715›Full record

ArticleSensors (Basel, Switzerland)2022

Printed Potentiometric Nitrate Sensors for Use in Soil.

Carol L Baumbauer, Payton J Goodrich, Margaret E Payne, Tyler Anthony, Claire Beckstoffer, Anju Toor, Whendee Silver, Ana Claudia Arias

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 55 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.

Carol L BaumbauerDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.ORCID 0000-0002-4674-7551
Payton J GoodrichDepartment of Mechanical Engineering, University of California, Berkeley, CA 94720, USA.
Margaret E PayneDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.
Tyler AnthonyDepartment of Environmental Sciences, Policy, and Management, University of California, Berkeley, CA 94720, USA.ORCID 0000-0001-8235-6980
Claire BeckstofferDepartment of Environmental Sciences, Policy, and Management, University of California, Berkeley, CA 94720, USA.
Anju ToorDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.
Whendee SilverDepartment of Environmental Sciences, Policy, and Management, University of California, Berkeley, CA 94720, USA.ORCID 0000-0003-0372-8745
Ana Claudia AriasDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.
University of California, Berkeley · US

Funding

Advanced Research Projects Agency-Energy DE-AR0001013National Science Foundation Graduate Research Fellowship DGE 1752814United States Department of Agriculture 2020-67021-32855/project 1024262
6 · The paper itself

Abstract

Plant-available nitrogen, often in the form of nitrate, is an essential nutrient for plant growth. However, excessive nitrate in the environment and watershed has harmful impacts on natural ecosystems and consequently human health. A distributed network of nitrate sensors could help to quantify and monitor nitrogen in agriculture and the environment. Here, we have developed fully printed potentiometric nitrate sensors and characterized their sensitivity and selectivity to nitrate. Each sensor comprises an ion-selective electrode and a reference electrode that are functionalized with polymeric membranes. The sensitivity of the printed ion-selective electrodes was characterized by measuring their potential with respect to a commercial silver/silver chloride reference electrode in varying concentrations of nitrate solutions. The sensitivity of the printed reference electrodes to nitrate was minimized with a membrane containing polyvinyl butyral (PVB), sodium chloride, and sodium nitrate. Selectivity studies with sulphate, chloride, phosphate, nitrite, ammonium, calcium, potassium, and magnesium showed that high concentrations of calcium can influence sensor behavior. The printed ion-selective and reference electrodes were combined to form a fully printed sensor with sensitivity of -48.0 ± 3.3 mV/dec between 0.62 and 6200 ppm nitrate in solution and -47 ± 4.1 mV/dec in peat soil.

Indexed as

NitratesSoilCalciumEcosystemHumansIon-Selective ElectrodesNitrogenCalciumNitratesNitrogenSoilagricultural sensorschemical sensorsion-selective membranenitrate sensorspotentiometric sensorsprecision agricultureprinted sensorssoil nitrate monitoring

Identifiers

PMID35684715
PMCPMC9185318
OpenAlexW4281684392

What OpenQuestion holds

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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.