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Contamination detection by optical measurements in a real‐life environment: A hospital case study
Organic dirt on touch surfaces can be biological contaminants (microbes) or nutrients for those but is often invisible by the human eye causing challenges for evaluating the need for cleaning. Using hyperspectral scanning algorithm, touch surface cleanliness monitoring by optical imaging was studied...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
WILEY‐VCH Verlag GmbH & Co. KGaA
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065611/ https://www.ncbi.nlm.nih.gov/pubmed/31613045 http://dx.doi.org/10.1002/jbio.201960069 |
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author | Inkinen, Jenni Ahonen, Merja Iakovleva, Evgenia Karppinen, Pasi Mielonen, Eelis Mäkinen, Riika Mannonen, Katriina Koivisto, Juha |
author_facet | Inkinen, Jenni Ahonen, Merja Iakovleva, Evgenia Karppinen, Pasi Mielonen, Eelis Mäkinen, Riika Mannonen, Katriina Koivisto, Juha |
author_sort | Inkinen, Jenni |
collection | PubMed |
description | Organic dirt on touch surfaces can be biological contaminants (microbes) or nutrients for those but is often invisible by the human eye causing challenges for evaluating the need for cleaning. Using hyperspectral scanning algorithm, touch surface cleanliness monitoring by optical imaging was studied in a real‐life hospital environment. As the highlight, a human eye invisible stain from a dirty chair armrest was revealed manually with algorithms including threshold levels for intensity and clustering analysis with two excitation lights (green and red) and one bandpass filter (wavelength λ = 500 nm). The same result was confirmed by automatic k‐means clustering analysis from the entire dirty data of visible light (red, green and blue) and filters 420 to 720 nm with 20 nm increments. Overall, the collected touch surface samples (N = 156) indicated the need for cleaning in some locations by the high culturable bacteria and adenosine triphosphate counts despite the lack of visible dirt. Examples of such locations were toilet door lock knobs and busy registration desk armchairs. Thus, the studied optical imaging system utilizing the safe visible light area shows a promising method for touch surface cleanliness evaluation in real‐life environments. [Image: see text] |
format | Online Article Text |
id | pubmed-7065611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | WILEY‐VCH Verlag GmbH & Co. KGaA |
record_format | MEDLINE/PubMed |
spelling | pubmed-70656112020-03-16 Contamination detection by optical measurements in a real‐life environment: A hospital case study Inkinen, Jenni Ahonen, Merja Iakovleva, Evgenia Karppinen, Pasi Mielonen, Eelis Mäkinen, Riika Mannonen, Katriina Koivisto, Juha J Biophotonics Full Articles Organic dirt on touch surfaces can be biological contaminants (microbes) or nutrients for those but is often invisible by the human eye causing challenges for evaluating the need for cleaning. Using hyperspectral scanning algorithm, touch surface cleanliness monitoring by optical imaging was studied in a real‐life hospital environment. As the highlight, a human eye invisible stain from a dirty chair armrest was revealed manually with algorithms including threshold levels for intensity and clustering analysis with two excitation lights (green and red) and one bandpass filter (wavelength λ = 500 nm). The same result was confirmed by automatic k‐means clustering analysis from the entire dirty data of visible light (red, green and blue) and filters 420 to 720 nm with 20 nm increments. Overall, the collected touch surface samples (N = 156) indicated the need for cleaning in some locations by the high culturable bacteria and adenosine triphosphate counts despite the lack of visible dirt. Examples of such locations were toilet door lock knobs and busy registration desk armchairs. Thus, the studied optical imaging system utilizing the safe visible light area shows a promising method for touch surface cleanliness evaluation in real‐life environments. [Image: see text] WILEY‐VCH Verlag GmbH & Co. KGaA 2019-11-06 2020-01 /pmc/articles/PMC7065611/ /pubmed/31613045 http://dx.doi.org/10.1002/jbio.201960069 Text en © 2019 The Authors. Journal of Biophotonics published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Full Articles Inkinen, Jenni Ahonen, Merja Iakovleva, Evgenia Karppinen, Pasi Mielonen, Eelis Mäkinen, Riika Mannonen, Katriina Koivisto, Juha Contamination detection by optical measurements in a real‐life environment: A hospital case study |
title | Contamination detection by optical measurements in a real‐life environment: A hospital case study |
title_full | Contamination detection by optical measurements in a real‐life environment: A hospital case study |
title_fullStr | Contamination detection by optical measurements in a real‐life environment: A hospital case study |
title_full_unstemmed | Contamination detection by optical measurements in a real‐life environment: A hospital case study |
title_short | Contamination detection by optical measurements in a real‐life environment: A hospital case study |
title_sort | contamination detection by optical measurements in a real‐life environment: a hospital case study |
topic | Full Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065611/ https://www.ncbi.nlm.nih.gov/pubmed/31613045 http://dx.doi.org/10.1002/jbio.201960069 |
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