DEVELOPMENT OF AN AUTOMATED METHOD TO PERFORM A QUANTITATIVE STUDY OF PARTICLE SIZE DISTRIBUTION AND THE EFFECT OF A CONDUCTIVE LAYER IN SCANNING ELECTRON MICROSCOPY
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Química Nova (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422019000400447 |
Resumo: | The determination of particle size distribution is an important parameter for controlling industrial processes, particularly in the field of pharmaceuticals. It is also an important parameter for characterizing nanoparticles. The best technique for determining particle size distribution is scanning electron microscopy. The process of counting particles is typically performed manually, which requires both more time and a higher standard deviation than automatic methods. This study shows the results of a particle counting procedure that relies on a fully automated method that was found to improve the reproducibility of the measurement. The effect on the diameter of near-spherical polymer nanospheres between 20 and 100 nm (mean of 60 nm) when samples were coated by a conducting layer (such as gold or carbon) was also evaluated. The images were collected using a field emission scanning electron microscope and then processed using the ImageJ program. Results showed that the method proposed in this work produces mean diameter values in accordance with NIST-traceable near-spherical polymer nanospheres for the sample without coating. The study also revealed two main effects of the conductive coating: changes to topography and an increase in mean particle diameter. |
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DEVELOPMENT OF AN AUTOMATED METHOD TO PERFORM A QUANTITATIVE STUDY OF PARTICLE SIZE DISTRIBUTION AND THE EFFECT OF A CONDUCTIVE LAYER IN SCANNING ELECTRON MICROSCOPYparticle size distributionnear-spherical polymer nanoparticlesgold coatingcarbon depositionscanning electron microscopyThe determination of particle size distribution is an important parameter for controlling industrial processes, particularly in the field of pharmaceuticals. It is also an important parameter for characterizing nanoparticles. The best technique for determining particle size distribution is scanning electron microscopy. The process of counting particles is typically performed manually, which requires both more time and a higher standard deviation than automatic methods. This study shows the results of a particle counting procedure that relies on a fully automated method that was found to improve the reproducibility of the measurement. The effect on the diameter of near-spherical polymer nanospheres between 20 and 100 nm (mean of 60 nm) when samples were coated by a conducting layer (such as gold or carbon) was also evaluated. The images were collected using a field emission scanning electron microscope and then processed using the ImageJ program. Results showed that the method proposed in this work produces mean diameter values in accordance with NIST-traceable near-spherical polymer nanospheres for the sample without coating. The study also revealed two main effects of the conductive coating: changes to topography and an increase in mean particle diameter.Sociedade Brasileira de Química2019-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422019000400447Química Nova v.42 n.4 2019reponame:Química Nova (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.21577/0100-4042.20170353info:eu-repo/semantics/openAccessBarreto,Juan C. G.Tita,Diego L.Orlandi,Marcelo O.eng2019-05-21T00:00:00Zoai:scielo:S0100-40422019000400447Revistahttps://www.scielo.br/j/qn/ONGhttps://old.scielo.br/oai/scielo-oai.phpquimicanova@sbq.org.br1678-70640100-4042opendoar:2019-05-21T00:00Química Nova (Online) - Sociedade Brasileira de Química (SBQ)false |
dc.title.none.fl_str_mv |
DEVELOPMENT OF AN AUTOMATED METHOD TO PERFORM A QUANTITATIVE STUDY OF PARTICLE SIZE DISTRIBUTION AND THE EFFECT OF A CONDUCTIVE LAYER IN SCANNING ELECTRON MICROSCOPY |
title |
DEVELOPMENT OF AN AUTOMATED METHOD TO PERFORM A QUANTITATIVE STUDY OF PARTICLE SIZE DISTRIBUTION AND THE EFFECT OF A CONDUCTIVE LAYER IN SCANNING ELECTRON MICROSCOPY |
spellingShingle |
DEVELOPMENT OF AN AUTOMATED METHOD TO PERFORM A QUANTITATIVE STUDY OF PARTICLE SIZE DISTRIBUTION AND THE EFFECT OF A CONDUCTIVE LAYER IN SCANNING ELECTRON MICROSCOPY Barreto,Juan C. G. particle size distribution near-spherical polymer nanoparticles gold coating carbon deposition scanning electron microscopy |
title_short |
DEVELOPMENT OF AN AUTOMATED METHOD TO PERFORM A QUANTITATIVE STUDY OF PARTICLE SIZE DISTRIBUTION AND THE EFFECT OF A CONDUCTIVE LAYER IN SCANNING ELECTRON MICROSCOPY |
title_full |
DEVELOPMENT OF AN AUTOMATED METHOD TO PERFORM A QUANTITATIVE STUDY OF PARTICLE SIZE DISTRIBUTION AND THE EFFECT OF A CONDUCTIVE LAYER IN SCANNING ELECTRON MICROSCOPY |
title_fullStr |
DEVELOPMENT OF AN AUTOMATED METHOD TO PERFORM A QUANTITATIVE STUDY OF PARTICLE SIZE DISTRIBUTION AND THE EFFECT OF A CONDUCTIVE LAYER IN SCANNING ELECTRON MICROSCOPY |
title_full_unstemmed |
DEVELOPMENT OF AN AUTOMATED METHOD TO PERFORM A QUANTITATIVE STUDY OF PARTICLE SIZE DISTRIBUTION AND THE EFFECT OF A CONDUCTIVE LAYER IN SCANNING ELECTRON MICROSCOPY |
title_sort |
DEVELOPMENT OF AN AUTOMATED METHOD TO PERFORM A QUANTITATIVE STUDY OF PARTICLE SIZE DISTRIBUTION AND THE EFFECT OF A CONDUCTIVE LAYER IN SCANNING ELECTRON MICROSCOPY |
author |
Barreto,Juan C. G. |
author_facet |
Barreto,Juan C. G. Tita,Diego L. Orlandi,Marcelo O. |
author_role |
author |
author2 |
Tita,Diego L. Orlandi,Marcelo O. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Barreto,Juan C. G. Tita,Diego L. Orlandi,Marcelo O. |
dc.subject.por.fl_str_mv |
particle size distribution near-spherical polymer nanoparticles gold coating carbon deposition scanning electron microscopy |
topic |
particle size distribution near-spherical polymer nanoparticles gold coating carbon deposition scanning electron microscopy |
description |
The determination of particle size distribution is an important parameter for controlling industrial processes, particularly in the field of pharmaceuticals. It is also an important parameter for characterizing nanoparticles. The best technique for determining particle size distribution is scanning electron microscopy. The process of counting particles is typically performed manually, which requires both more time and a higher standard deviation than automatic methods. This study shows the results of a particle counting procedure that relies on a fully automated method that was found to improve the reproducibility of the measurement. The effect on the diameter of near-spherical polymer nanospheres between 20 and 100 nm (mean of 60 nm) when samples were coated by a conducting layer (such as gold or carbon) was also evaluated. The images were collected using a field emission scanning electron microscope and then processed using the ImageJ program. Results showed that the method proposed in this work produces mean diameter values in accordance with NIST-traceable near-spherical polymer nanospheres for the sample without coating. The study also revealed two main effects of the conductive coating: changes to topography and an increase in mean particle diameter. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422019000400447 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422019000400447 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.21577/0100-4042.20170353 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
dc.source.none.fl_str_mv |
Química Nova v.42 n.4 2019 reponame:Química Nova (Online) instname:Sociedade Brasileira de Química (SBQ) instacron:SBQ |
instname_str |
Sociedade Brasileira de Química (SBQ) |
instacron_str |
SBQ |
institution |
SBQ |
reponame_str |
Química Nova (Online) |
collection |
Química Nova (Online) |
repository.name.fl_str_mv |
Química Nova (Online) - Sociedade Brasileira de Química (SBQ) |
repository.mail.fl_str_mv |
quimicanova@sbq.org.br |
_version_ |
1750318119655571456 |