Capacitance sensitivity study of interdigital capacitive sensor based on graphene for monitoring Nitrates concentrations

Descripción del Articulo

In order to increase agricultural productivity, it is necessary to manage the nutrients that the plants receive. In this sense, nitrogen is one of the most important nutrients for the adequate development and growth of plants and whose control contributes to the conservation of the environment. Trad...

Descripción completa

Detalles Bibliográficos
Autores: Ludeña Choez, Jimmy, Choquehuanca Zevallos, Juan J., Yasmany Juarez, Alex, Mayhua López, Efraín, Zea, Julia, Talavera Núñez, María Elena, Magallanes Magallanes, Jorge L., Pérez Montaño, H. Saúl
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Nacional San Luis Gonzaga de Ica
Repositorio:UNICA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.unica.edu.pe:20.500.13028/7079
Enlace del recurso:https://hdl.handle.net/20.500.13028/7079
Nivel de acceso:acceso abierto
Materia:Interdigital capacitive sensor
Graphene
Nitrate concentration
https://purl.org/pe-repo/ocde/ford#2.02.00
id UNIC_7aa05e86230ad543266338ff974b8dbb
oai_identifier_str oai:repositorio.unica.edu.pe:20.500.13028/7079
network_acronym_str UNIC
network_name_str UNICA-Institucional
repository_id_str 4861
dc.title.none.fl_str_mv Capacitance sensitivity study of interdigital capacitive sensor based on graphene for monitoring Nitrates concentrations
title Capacitance sensitivity study of interdigital capacitive sensor based on graphene for monitoring Nitrates concentrations
spellingShingle Capacitance sensitivity study of interdigital capacitive sensor based on graphene for monitoring Nitrates concentrations
Ludeña Choez, Jimmy
Interdigital capacitive sensor
Graphene
Nitrate concentration
https://purl.org/pe-repo/ocde/ford#2.02.00
title_short Capacitance sensitivity study of interdigital capacitive sensor based on graphene for monitoring Nitrates concentrations
title_full Capacitance sensitivity study of interdigital capacitive sensor based on graphene for monitoring Nitrates concentrations
title_fullStr Capacitance sensitivity study of interdigital capacitive sensor based on graphene for monitoring Nitrates concentrations
title_full_unstemmed Capacitance sensitivity study of interdigital capacitive sensor based on graphene for monitoring Nitrates concentrations
title_sort Capacitance sensitivity study of interdigital capacitive sensor based on graphene for monitoring Nitrates concentrations
author Ludeña Choez, Jimmy
author_facet Ludeña Choez, Jimmy
Choquehuanca Zevallos, Juan J.
Yasmany Juarez, Alex
Mayhua López, Efraín
Zea, Julia
Talavera Núñez, María Elena
Magallanes Magallanes, Jorge L.
Pérez Montaño, H. Saúl
author_role author
author2 Choquehuanca Zevallos, Juan J.
Yasmany Juarez, Alex
Mayhua López, Efraín
Zea, Julia
Talavera Núñez, María Elena
Magallanes Magallanes, Jorge L.
Pérez Montaño, H. Saúl
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ludeña Choez, Jimmy
Choquehuanca Zevallos, Juan J.
Yasmany Juarez, Alex
Mayhua López, Efraín
Zea, Julia
Talavera Núñez, María Elena
Magallanes Magallanes, Jorge L.
Pérez Montaño, H. Saúl
dc.subject.none.fl_str_mv Interdigital capacitive sensor
Graphene
Nitrate concentration
topic Interdigital capacitive sensor
Graphene
Nitrate concentration
https://purl.org/pe-repo/ocde/ford#2.02.00
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.02.00
description In order to increase agricultural productivity, it is necessary to manage the nutrients that the plants receive. In this sense, nitrogen is one of the most important nutrients for the adequate development and growth of plants and whose control contributes to the conservation of the environment. Traditionally, the quantification of nitrates is performed employing methods such as ion chromatography conducted in a laboratory, which leads to problems such as processing time, complexity in the analysis process itself and the need to have people trained to handle such analysis equipment. To alleviate these difficulties, some sensors use electrochemical principles; however, they present several limitations such as manufacturing complexity, cost, and difficulties in conducting real-time measurements. On the other hand, capacitive sensors have also been developed whose operating principle is based on analyzing the changes in the electrical characteristics of these devices produced by variations in the environment surrounding the sensor. For example, solutions with different concentrations of nitrates will produce an alteration of the electric field generated by the electrodes of the capacitor, producing changes in parameters such as its electrical impedance. However, the materials used to manufacture these sensors are metals, being unattractive for agricultural applications due to the corrosion they may suffer. To counteract this problem, it is possible to use other types of materials, among which graphene emerge as it has been shown to have excellent properties such as being a mechanically strong material and presenting good electrical conductivity. For this reason, in this work, the study of the sensitivity of a graphene-based interdigital capacitive sensor applied to the measurements of nitrate concentrations is performed. Different analytical methods were used. In general, the interdigital capacitive sensor shows repeatability in the measurements, especially for concentrations greater than 10 ppm with variability of ∼ 16%. Also, parameters such as the detection limit of the sensor were calculated, the result of which was 1.71 ppm. Also, measurements were made on agricultural soil samples showing differences in readings with respect to the ion chromatography method. Differences that are attributable to the different methodologies used in the calculation of the nitrate concentration and the fertilization process that was applied to the crop field a few weeks before. Despite the difference between the sensor measurements and the results obtained by ion chromatography, both procedures showed a high amount of nitrate concentration.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2026-01-23T19:45:14Z
dc.date.available.none.fl_str_mv 2026-01-23T19:45:14Z
dc.date.issued.fl_str_mv 2022-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.13028/7079
dc.identifier.doi.none.fl_str_mv 10.1016/j.compag.2022.107361
url https://hdl.handle.net/20.500.13028/7079
identifier_str_mv 10.1016/j.compag.2022.107361
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Computers and Electronics in Agriculture
dc.relation.isPartOf.none.fl_str_mv urn:issn:01681699
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/html
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv reponame:UNICA-Institucional
instname:Universidad Nacional San Luis Gonzaga de Ica
instacron:UNICA
instname_str Universidad Nacional San Luis Gonzaga de Ica
instacron_str UNICA
institution UNICA
reponame_str UNICA-Institucional
collection UNICA-Institucional
bitstream.url.fl_str_mv https://repositorio.unica.edu.pe/bitstreams/52daa8bf-ef7d-4b6a-ba70-a0828c4e1c59/download
https://repositorio.unica.edu.pe/bitstreams/f242a229-a6a6-42ed-ae76-cfd2efd835bd/download
https://repositorio.unica.edu.pe/bitstreams/02504d73-0b4d-4b79-8fff-fa2956238c98/download
bitstream.checksum.fl_str_mv a6b7515855e84620a14ccccf9daae66d
c70931cb893c29b2aa5cde393e40e6b9
b5ec380695b1e00e2be668fb3ecee5b2
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Universidad Nacional San Luis Gonzága
repository.mail.fl_str_mv repositorio@unica.edu.pe
_version_ 1865187551572131840
spelling Ludeña Choez, JimmyChoquehuanca Zevallos, Juan J.Yasmany Juarez, AlexMayhua López, EfraínZea, JuliaTalavera Núñez, María ElenaMagallanes Magallanes, Jorge L.Pérez Montaño, H. Saúl2026-01-23T19:45:14Z2026-01-23T19:45:14Z2022-11https://hdl.handle.net/20.500.13028/707910.1016/j.compag.2022.107361In order to increase agricultural productivity, it is necessary to manage the nutrients that the plants receive. In this sense, nitrogen is one of the most important nutrients for the adequate development and growth of plants and whose control contributes to the conservation of the environment. Traditionally, the quantification of nitrates is performed employing methods such as ion chromatography conducted in a laboratory, which leads to problems such as processing time, complexity in the analysis process itself and the need to have people trained to handle such analysis equipment. To alleviate these difficulties, some sensors use electrochemical principles; however, they present several limitations such as manufacturing complexity, cost, and difficulties in conducting real-time measurements. On the other hand, capacitive sensors have also been developed whose operating principle is based on analyzing the changes in the electrical characteristics of these devices produced by variations in the environment surrounding the sensor. For example, solutions with different concentrations of nitrates will produce an alteration of the electric field generated by the electrodes of the capacitor, producing changes in parameters such as its electrical impedance. However, the materials used to manufacture these sensors are metals, being unattractive for agricultural applications due to the corrosion they may suffer. To counteract this problem, it is possible to use other types of materials, among which graphene emerge as it has been shown to have excellent properties such as being a mechanically strong material and presenting good electrical conductivity. For this reason, in this work, the study of the sensitivity of a graphene-based interdigital capacitive sensor applied to the measurements of nitrate concentrations is performed. Different analytical methods were used. In general, the interdigital capacitive sensor shows repeatability in the measurements, especially for concentrations greater than 10 ppm with variability of ∼ 16%. Also, parameters such as the detection limit of the sensor were calculated, the result of which was 1.71 ppm. Also, measurements were made on agricultural soil samples showing differences in readings with respect to the ion chromatography method. Differences that are attributable to the different methodologies used in the calculation of the nitrate concentration and the fertilization process that was applied to the crop field a few weeks before. Despite the difference between the sensor measurements and the results obtained by ion chromatography, both procedures showed a high amount of nitrate concentration.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica, CONCYTEC Funding text 1: This article has been funded by the CONCYTEC-PROCIENCIA E041-01 [025-2018-Fondecyt-BM-IADT-AV]. We are very grateful with Arrhenius Research Institute for the support provided.; Funding text 2: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: JIMMY LUDENA reports financial support was provided by PROCIENCIA - CONCYTEC.application/htmlengElsevier B.V.Computers and Electronics in Agricultureurn:issn:01681699info:eu-repo/semantics/openAccessInterdigital capacitive sensorGrapheneNitrate concentrationhttps://purl.org/pe-repo/ocde/ford#2.02.00Capacitance sensitivity study of interdigital capacitive sensor based on graphene for monitoring Nitrates concentrationsinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:UNICA-Institucionalinstname:Universidad Nacional San Luis Gonzaga de Icainstacron:UNICALICENSElicense.txtWritten by org.dspace.content.LicenseUtilstext/plain; charset=utf-81304https://repositorio.unica.edu.pe/bitstreams/52daa8bf-ef7d-4b6a-ba70-a0828c4e1c59/downloada6b7515855e84620a14ccccf9daae66dMD51falseAnonymousREADORIGINALCapacitance sensitivity study of interdigital capacitive sensor based on graphene for monitoring Nitrates concentrations.htmCapacitance sensitivity study of interdigital capacitive sensor based on.htmtext/html155996https://repositorio.unica.edu.pe/bitstreams/f242a229-a6a6-42ed-ae76-cfd2efd835bd/downloadc70931cb893c29b2aa5cde393e40e6b9MD52trueAnonymousREADTEXTCapacitance sensitivity study of interdigital capacitive sensor based on graphene for monitoring Nitrates concentrations.htm.txtWritten by FormatFilter org.dspace.app.mediafilter.TikaTextExtractionFilter on 2026-01-24T02:01:04Z (GMT).Extracted texttext/plain4658https://repositorio.unica.edu.pe/bitstreams/02504d73-0b4d-4b79-8fff-fa2956238c98/downloadb5ec380695b1e00e2be668fb3ecee5b2MD53falseAnonymousREAD20.500.13028/7079oai:repositorio.unica.edu.pe:20.500.13028/70792026-01-26T23:56:47.667103Zopen.accesshttps://repositorio.unica.edu.peRepositorio Universidad Nacional San Luis Gonzágarepositorio@unica.edu.peQXRyaWJ1Y2nDs24gNC4wIEludGVybmFjaW9uYWwgKENDIEJZIDQuMCkKVXN0ZWQgZXMgbGlicmUgZGU6CkNvbXBhcnRpciDigJQgY29waWFyIHkgcmVkaXN0cmlidWlyIGVsIG1hdGVyaWFsIGVuIGN1YWxxdWllciBtZWRpbyBvIGZvcm1hdG8KQWRhcHRhciDigJQgcmVtZXpjbGFyLCB0cmFuc2Zvcm1hciB5IGNvbnN0cnVpciBhIHBhcnRpciBkZWwgbWF0ZXJpYWwKcGFyYSBjdWFscXVpZXIgcHJvcMOzc2l0bywgaW5jbHVzbyBjb21lcmNpYWxtZW50ZS4KRXN0YSBsaWNlbmNpYSBlcyBhY2VwdGFibGUgcGFyYSBPYnJhcyBDdWx0dXJhbGVzIExpYnJlcy4KTGEgbGljZW5jaWFudGUgbm8gcHVlZGUgcmV2b2NhciBlc3RhcyBsaWJlcnRhZGVzIGVuIHRhbnRvIHVzdGVkIHNpZ2EgbG9zIHTDqXJtaW5vcyBkZSBsYSBsaWNlbmNpYQpCYWpvIGxvcyBzaWd1aWVudGVzIHTDqXJtaW5vczoKQXRyaWJ1Y2nDs24g4oCUIFVzdGVkIGRlYmUgZGFyIGNyw6lkaXRvIGRlIG1hbmVyYSBhZGVjdWFkYSwgYnJpbmRhciB1biBlbmxhY2UgYSBsYSBsaWNlbmNpYSwgZSBpbmRpY2FyIHNpIHNlIGhhbiByZWFsaXphZG8gY2FtYmlvcy4gUHVlZGUgaGFjZXJsbyBlbiBjdWFscXVpZXIgZm9ybWEgcmF6b25hYmxlLCBwZXJvIG5vIGRlIGZvcm1hIHRhbCBxdWUgc3VnaWVyYSBxdWUgdXN0ZWQgbyBzdSB1c28gdGllbmVuIGVsIGFwb3lvIGRlIGxhIGxpY2VuY2lhbnRlLgoKTm8gaGF5IHJlc3RyaWNjaW9uZXMgYWRpY2lvbmFsZXMg4oCUIE5vIHB1ZWRlIGFwbGljYXIgdMOpcm1pbm9zIGxlZ2FsZXMgbmkgbWVkaWRhcyB0ZWNub2zDs2dpY2FzIHF1ZSByZXN0cmluamFuIGxlZ2FsbWVudGUgYSBvdHJhcyBhIGhhY2VyIGN1YWxxdWllciB1c28gcGVybWl0aWRvIHBvciBsYSBsaWNlbmNpYS4KQXZpc29zOgpObyB0aWVuZSBxdWUgY3VtcGxpciBjb24gbGEgbGljZW5jaWEgcGFyYSBlbGVtZW50b3MgZGVsIG1hdGVyaWFsZSBlbiBlbCBkb21pbmlvIHDDumJsaWNvIG8gY3VhbmRvIHN1IHVzbyBlc3TDqSBwZXJtaXRpZG8gcG9yIHVuYSBleGNlcGNpw7NuIG8gbGltaXRhY2nDs24gYXBsaWNhYmxlLgpObyBzZSBkYW4gZ2FyYW50w61hcy4gTGEgbGljZW5jaWEgcG9kcsOtYSBubyBkYXJsZSB0b2RvcyBsb3MgcGVybWlzb3MgcXVlIG5lY2VzaXRhIHBhcmEgZWwgdXNvIHF1ZSB0ZW5nYSBwcmV2aXN0by4gUG9yIGVqZW1wbG8sIG90cm9zIGRlcmVjaG9zIGNvbW8gcHVibGljaWRhZCwgcHJpdmFjaWRhZCwgbyBkZXJlY2hvcyBtb3JhbGVzIHB1ZWRlbiBsaW1pdGFyIGxhIGZvcm1hIGVuIHF1ZSB1dGlsaWNlIGVsIG1hdGVyaWFsLgo=
score 13.072473
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).