Prospective study on chemometric methods for water classification.

Detalhes bibliográficos
Autor(a) principal: SOUSA, J. N.
Data de Publicação: 2022
Outros Autores: SILVA, P. T. de S. e, DINIZ, M. C., CONCEIÇÃO, M. H.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1146926
Resumo: Chemometric methods are currently used very frequently in water analysis. The present work deals with a bibliographic search, considering the scientific and technological developments of the water classification methods, in the area of chemometrics, through the search for articles and patents in the main databases available for research. The prospecting was carried out in the interval of ten years (2010-2020). 126 documents were found in the Scopus database, using the words water quality and chemometrics. Regarding patents, 764 documents were found in the Espacenet database, with 184 filings in Questel Orbit® software, of which 145 are Chinese, 08 are Japanese, 04 are from the United States and 01 from Brazil. Therefore, this study showed a broad scenario for investing, by both public and private authorities. Although Brazil has a considerable amount of scientific articles on the subject, the number of patents has yet to be increased.
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spelling Prospective study on chemometric methods for water classification.Métodos QuimiométricosClassificação de ÁguaProspecçãoParâmetros físico-químicosÁguaQualidade da ÁguaWater qualityWater quality analysisChemometric methods are currently used very frequently in water analysis. The present work deals with a bibliographic search, considering the scientific and technological developments of the water classification methods, in the area of chemometrics, through the search for articles and patents in the main databases available for research. The prospecting was carried out in the interval of ten years (2010-2020). 126 documents were found in the Scopus database, using the words water quality and chemometrics. Regarding patents, 764 documents were found in the Espacenet database, with 184 filings in Questel Orbit® software, of which 145 are Chinese, 08 are Japanese, 04 are from the United States and 01 from Brazil. Therefore, this study showed a broad scenario for investing, by both public and private authorities. Although Brazil has a considerable amount of scientific articles on the subject, the number of patents has yet to be increased.JACQUELINE NASCIMENTO SOUSA, CPATSA; PAULA TEREZA DE SOUZA E SILVA, CPATSA; MICHELY CORREIA DINIZ, UNIVASF; MARIA HOSANA CONCEICAO, UnB.SOUSA, J. N.SILVA, P. T. de S. eDINIZ, M. C.CONCEIÇÃO, M. H.2022-09-28T18:05:20Z2022-09-28T18:05:20Z2022-09-282022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista GEINTEC - Gestão, Inovação, Tecnologias, v. 12, n. 1, p. 37-47, 2022.2237-0722http://www.alice.cnptia.embrapa.br/alice/handle/doc/1146926enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2022-09-28T18:05:30Zoai:www.alice.cnptia.embrapa.br:doc/1146926Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542022-09-28T18:05:30falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542022-09-28T18:05:30Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Prospective study on chemometric methods for water classification.
title Prospective study on chemometric methods for water classification.
spellingShingle Prospective study on chemometric methods for water classification.
SOUSA, J. N.
Métodos Quimiométricos
Classificação de Água
Prospecção
Parâmetros físico-químicos
Água
Qualidade da Água
Water quality
Water quality analysis
title_short Prospective study on chemometric methods for water classification.
title_full Prospective study on chemometric methods for water classification.
title_fullStr Prospective study on chemometric methods for water classification.
title_full_unstemmed Prospective study on chemometric methods for water classification.
title_sort Prospective study on chemometric methods for water classification.
author SOUSA, J. N.
author_facet SOUSA, J. N.
SILVA, P. T. de S. e
DINIZ, M. C.
CONCEIÇÃO, M. H.
author_role author
author2 SILVA, P. T. de S. e
DINIZ, M. C.
CONCEIÇÃO, M. H.
author2_role author
author
author
dc.contributor.none.fl_str_mv JACQUELINE NASCIMENTO SOUSA, CPATSA; PAULA TEREZA DE SOUZA E SILVA, CPATSA; MICHELY CORREIA DINIZ, UNIVASF; MARIA HOSANA CONCEICAO, UnB.
dc.contributor.author.fl_str_mv SOUSA, J. N.
SILVA, P. T. de S. e
DINIZ, M. C.
CONCEIÇÃO, M. H.
dc.subject.por.fl_str_mv Métodos Quimiométricos
Classificação de Água
Prospecção
Parâmetros físico-químicos
Água
Qualidade da Água
Water quality
Water quality analysis
topic Métodos Quimiométricos
Classificação de Água
Prospecção
Parâmetros físico-químicos
Água
Qualidade da Água
Water quality
Water quality analysis
description Chemometric methods are currently used very frequently in water analysis. The present work deals with a bibliographic search, considering the scientific and technological developments of the water classification methods, in the area of chemometrics, through the search for articles and patents in the main databases available for research. The prospecting was carried out in the interval of ten years (2010-2020). 126 documents were found in the Scopus database, using the words water quality and chemometrics. Regarding patents, 764 documents were found in the Espacenet database, with 184 filings in Questel Orbit® software, of which 145 are Chinese, 08 are Japanese, 04 are from the United States and 01 from Brazil. Therefore, this study showed a broad scenario for investing, by both public and private authorities. Although Brazil has a considerable amount of scientific articles on the subject, the number of patents has yet to be increased.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-28T18:05:20Z
2022-09-28T18:05:20Z
2022-09-28
2022
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Revista GEINTEC - Gestão, Inovação, Tecnologias, v. 12, n. 1, p. 37-47, 2022.
2237-0722
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1146926
identifier_str_mv Revista GEINTEC - Gestão, Inovação, Tecnologias, v. 12, n. 1, p. 37-47, 2022.
2237-0722
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1146926
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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