Near-infrared spectroscopy for the detection and quantification of bacterial contaminations in pharmaceutical products
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/36732 |
Resumo: | Accurate detection and quantification of microbiological contaminations remains an issue mainly due the lack of rapid and precise analytical techniques. Standard methods are expensive and time-consuming being associated to high economic losses and public health threats. In the context of pharmaceutical industry, the development of fast analytical techniques able to overcome these limitations is crucial and spectroscopic techniques might constitute a reliable alternative. In this work we proved the ability of Fourier transform near infrared spectroscopy (FT-NIRS) to detect and quantify bacteria (Bacillus subtilis, Escherichia coli, Pseudomonas fluorescens, Salmonella enterica, Staphylococcus epidermidis) from 10-108 CFUs/mL in sterile saline solutions (NaCl 0.9%). Partial least squares discriminant analysis (PLSDA) models showed that FT-NIRS was able to discriminate between sterile and contaminated solutions for all bacteria as well as to identify contaminant bacteria. Partial least squares (PLS) models allowed bacterial quantification with limits of detection ranging from 5.1 to 9CFU/mL for E. coli and B. subtilis, respectively. This methodology was successfully validated in three pharmaceutical preparations (contact lens solution, cough syrup and topic anti-inflammatory solution) proving that this technique possess a high potential to be routinely used for the detection and quantification of bacterial contaminations. |
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Near-infrared spectroscopy for the detection and quantification of bacterial contaminations in pharmaceutical productsFT-NIRSBacterial contaminationsPharmaceutical productsChemometricsProcess analytical technologyScience & TechnologyAccurate detection and quantification of microbiological contaminations remains an issue mainly due the lack of rapid and precise analytical techniques. Standard methods are expensive and time-consuming being associated to high economic losses and public health threats. In the context of pharmaceutical industry, the development of fast analytical techniques able to overcome these limitations is crucial and spectroscopic techniques might constitute a reliable alternative. In this work we proved the ability of Fourier transform near infrared spectroscopy (FT-NIRS) to detect and quantify bacteria (Bacillus subtilis, Escherichia coli, Pseudomonas fluorescens, Salmonella enterica, Staphylococcus epidermidis) from 10-108 CFUs/mL in sterile saline solutions (NaCl 0.9%). Partial least squares discriminant analysis (PLSDA) models showed that FT-NIRS was able to discriminate between sterile and contaminated solutions for all bacteria as well as to identify contaminant bacteria. Partial least squares (PLS) models allowed bacterial quantification with limits of detection ranging from 5.1 to 9CFU/mL for E. coli and B. subtilis, respectively. This methodology was successfully validated in three pharmaceutical preparations (contact lens solution, cough syrup and topic anti-inflammatory solution) proving that this technique possess a high potential to be routinely used for the detection and quantification of bacterial contaminations.This work was funded by Fundacao para a Ciencia e a Tecnologia (FCT) under the project UID/QUI/50006/2013. The authors also thank the FCT Strategic Project of UID/BIO/04469/2013 unit, the project RECI/BBB-EBI/0179/2012 (FCOMP-01-0124-FEDER-027462) and the project "BioInd-Biotechnology and Bioengineering for improved Industrial and Agro-Food processes", REF. NORTE-07-0124-FEDER-000028 co-funded by the Programa Operacional Regional do Norte (ON. 2-O Novo Norte), QREN, FEDER. Daniela Mesquita (SFRH/BPD/82558/2011) and Cristina Quintelas were funded by post-doctoral grants from FCT and ON.2. Clara Sousa was funded by a CIENCIA2008 contract from FCT.Elsevier B.V.Universidade do MinhoQuintelas, C.Mesquita, D. P.Lopes, João A.Ferreira, Eugénio C.Sousa, Clara Cecília Santana2015-08-152015-08-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/36732engQuintelas, C.; Mesquita, D. P.; Lopes, João A.; Ferreira, E. C.; Sousa, C., Near-infrared spectroscopy for the detection and quantification of bacterial contaminations in pharmaceutical products. International Journal of Pharmaceutics, 492(1-2), 199-206, 20150378-51730378-517310.1016/j.ijpharm.2015.07.00526151105http://www.elsevier.com/locate/issn/03785173info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:24:05Zoai:repositorium.sdum.uminho.pt:1822/36732Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:17:59.292269Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Near-infrared spectroscopy for the detection and quantification of bacterial contaminations in pharmaceutical products |
title |
Near-infrared spectroscopy for the detection and quantification of bacterial contaminations in pharmaceutical products |
spellingShingle |
Near-infrared spectroscopy for the detection and quantification of bacterial contaminations in pharmaceutical products Quintelas, C. FT-NIRS Bacterial contaminations Pharmaceutical products Chemometrics Process analytical technology Science & Technology |
title_short |
Near-infrared spectroscopy for the detection and quantification of bacterial contaminations in pharmaceutical products |
title_full |
Near-infrared spectroscopy for the detection and quantification of bacterial contaminations in pharmaceutical products |
title_fullStr |
Near-infrared spectroscopy for the detection and quantification of bacterial contaminations in pharmaceutical products |
title_full_unstemmed |
Near-infrared spectroscopy for the detection and quantification of bacterial contaminations in pharmaceutical products |
title_sort |
Near-infrared spectroscopy for the detection and quantification of bacterial contaminations in pharmaceutical products |
author |
Quintelas, C. |
author_facet |
Quintelas, C. Mesquita, D. P. Lopes, João A. Ferreira, Eugénio C. Sousa, Clara Cecília Santana |
author_role |
author |
author2 |
Mesquita, D. P. Lopes, João A. Ferreira, Eugénio C. Sousa, Clara Cecília Santana |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Quintelas, C. Mesquita, D. P. Lopes, João A. Ferreira, Eugénio C. Sousa, Clara Cecília Santana |
dc.subject.por.fl_str_mv |
FT-NIRS Bacterial contaminations Pharmaceutical products Chemometrics Process analytical technology Science & Technology |
topic |
FT-NIRS Bacterial contaminations Pharmaceutical products Chemometrics Process analytical technology Science & Technology |
description |
Accurate detection and quantification of microbiological contaminations remains an issue mainly due the lack of rapid and precise analytical techniques. Standard methods are expensive and time-consuming being associated to high economic losses and public health threats. In the context of pharmaceutical industry, the development of fast analytical techniques able to overcome these limitations is crucial and spectroscopic techniques might constitute a reliable alternative. In this work we proved the ability of Fourier transform near infrared spectroscopy (FT-NIRS) to detect and quantify bacteria (Bacillus subtilis, Escherichia coli, Pseudomonas fluorescens, Salmonella enterica, Staphylococcus epidermidis) from 10-108 CFUs/mL in sterile saline solutions (NaCl 0.9%). Partial least squares discriminant analysis (PLSDA) models showed that FT-NIRS was able to discriminate between sterile and contaminated solutions for all bacteria as well as to identify contaminant bacteria. Partial least squares (PLS) models allowed bacterial quantification with limits of detection ranging from 5.1 to 9CFU/mL for E. coli and B. subtilis, respectively. This methodology was successfully validated in three pharmaceutical preparations (contact lens solution, cough syrup and topic anti-inflammatory solution) proving that this technique possess a high potential to be routinely used for the detection and quantification of bacterial contaminations. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-08-15 2015-08-15T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/36732 |
url |
https://hdl.handle.net/1822/36732 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Quintelas, C.; Mesquita, D. P.; Lopes, João A.; Ferreira, E. C.; Sousa, C., Near-infrared spectroscopy for the detection and quantification of bacterial contaminations in pharmaceutical products. International Journal of Pharmaceutics, 492(1-2), 199-206, 2015 0378-5173 0378-5173 10.1016/j.ijpharm.2015.07.005 26151105 http://www.elsevier.com/locate/issn/03785173 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier B.V. |
publisher.none.fl_str_mv |
Elsevier B.V. |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132633288933376 |