Optical fiber-based sensing method for nanoparticle detection through supervised back-scattering analysis: a potential contributor for biomedicine

Joana S Paiva,1–3 Pedro AS Jorge,1,2 Rita SR Ribeiro,1 Paula Sampaio,4 Carla C Rosa,1,2 João PS Cunha1,3 1INESC Technology and Science, Porto, Portugal; 2Physics and Astronomy Department, Faculty of Sciences, University of Porto, Porto, Portugal; 3Faculty of Engineering, Univer...

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Autores principales:	Paiva JS, Jorge PAS, Ribeiro RSR, Sampaio P, Rosa CC, Cunha JPS
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2019
Materias:	Optical fiber sensors Light scattering effects Nanoparticles detection Extracellular Vesicles (EVs) detection Lipoproteins detection Virus detection Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/945df0209007408dbeee70e92ff3ac63
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spelling	oai:doaj.org-article:945df0209007408dbeee70e92ff3ac632021-12-02T04:16:36ZOptical fiber-based sensing method for nanoparticle detection through supervised back-scattering analysis: a potential contributor for biomedicine1178-2013https://doaj.org/article/945df0209007408dbeee70e92ff3ac632019-04-01T00:00:00Zhttps://www.dovepress.com/optical-fiber-based-sensing-method-for-nanoparticle-detection-through--peer-reviewed-article-IJNhttps://doaj.org/toc/1178-2013Joana S Paiva,1–3 Pedro AS Jorge,1,2 Rita SR Ribeiro,1 Paula Sampaio,4 Carla C Rosa,1,2 João PS Cunha1,3 1INESC Technology and Science, Porto, Portugal; 2Physics and Astronomy Department, Faculty of Sciences, University of Porto, Porto, Portugal; 3Faculty of Engineering, University of Porto, Porto, Portugal; 4Institute for Molecular and Cell Biology, i3S – Institute for Innovation and Research in Health, Porto, Portugal Background: In view of the growing importance of nanotechnologies, the detection/identification of nanoparticles type has been considered of utmost importance. Although the characterization of synthetic/organic nanoparticles is currently considered a priority (eg, drug delivery devices, nanotextiles, theranostic nanoparticles), there are many examples of “naturally” generated nanostructures – for example, extracellular vesicles (EVs), lipoproteins, and virus – that provide useful information about human physiology or clinical conditions. For example, the detection of tumor-related exosomes, a specific type of EVs, in circulating fluids has been contributing to the diagnosis of cancer in an early stage. However, scientists have struggled to find a simple, fast, and low-cost method to accurately detect/identify these nanoparticles, since the majority of them have diameters between 100 and 150 nm, thus being far below the diffraction limit. Methods: This study investigated if, by projecting the information provided from short-term portions of the back-scattered laser light signal collected by a polymeric lensed optical fiber tip dipped into a solution of synthetic nanoparticles into a lower features dimensional space, a discriminant function is able to correctly detect the presence of 100 nm synthetic nanoparticles in distilled water, in different concentration values. Results and discussion: This technique ensured an optimal performance (100% accuracy) in detecting nanoparticles for a concentration above or equal to 3.89 µg/mL (8.74E+10 particles/mL), and a performance of 90% for concentrations below this value and higher than 1.22E03 µg/mL (2.74E+07 particles/mL), values that are compatible with human plasmatic levels of tumor-derived and other types of EVs, as well as lipoproteins currently used as potential biomarkers of cardiovascular diseases. Conclusion: The proposed technique is able to detect synthetic nanoparticles whose dimensions are similar to EVs and other “clinically” relevant nanostructures, and in concentrations equivalent to the majority of cell-derived, platelet-derived EVs and lipoproteins physiological levels. This study can, therefore, provide valuable insights towards the future development of a device for EVs and other biological nanoparticles detection with innovative characteristics. Keywords: optical fiber sensors, light scattering effects, nanoparticles detection, extracellular vesicles (EVs) detection, lipoproteins detection, virus detection, nanoparticles, Brownian motion, diffusive analysisPaiva JSJorge PASRibeiro RSRSampaio PRosa CCCunha JPSDove Medical PressarticleOptical fiber sensorsLight scattering effectsNanoparticles detectionExtracellular Vesicles (EVs) detectionLipoproteins detectionVirus detectionMedicine (General)R5-920ENInternational Journal of Nanomedicine, Vol Volume 14, Pp 2349-2369 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Optical fiber sensors Light scattering effects Nanoparticles detection Extracellular Vesicles (EVs) detection Lipoproteins detection Virus detection Medicine (General) R5-920
spellingShingle	Optical fiber sensors Light scattering effects Nanoparticles detection Extracellular Vesicles (EVs) detection Lipoproteins detection Virus detection Medicine (General) R5-920 Paiva JS Jorge PAS Ribeiro RSR Sampaio P Rosa CC Cunha JPS Optical fiber-based sensing method for nanoparticle detection through supervised back-scattering analysis: a potential contributor for biomedicine
description	Joana S Paiva,1–3 Pedro AS Jorge,1,2 Rita SR Ribeiro,1 Paula Sampaio,4 Carla C Rosa,1,2 João PS Cunha1,3 1INESC Technology and Science, Porto, Portugal; 2Physics and Astronomy Department, Faculty of Sciences, University of Porto, Porto, Portugal; 3Faculty of Engineering, University of Porto, Porto, Portugal; 4Institute for Molecular and Cell Biology, i3S – Institute for Innovation and Research in Health, Porto, Portugal Background: In view of the growing importance of nanotechnologies, the detection/identification of nanoparticles type has been considered of utmost importance. Although the characterization of synthetic/organic nanoparticles is currently considered a priority (eg, drug delivery devices, nanotextiles, theranostic nanoparticles), there are many examples of “naturally” generated nanostructures – for example, extracellular vesicles (EVs), lipoproteins, and virus – that provide useful information about human physiology or clinical conditions. For example, the detection of tumor-related exosomes, a specific type of EVs, in circulating fluids has been contributing to the diagnosis of cancer in an early stage. However, scientists have struggled to find a simple, fast, and low-cost method to accurately detect/identify these nanoparticles, since the majority of them have diameters between 100 and 150 nm, thus being far below the diffraction limit. Methods: This study investigated if, by projecting the information provided from short-term portions of the back-scattered laser light signal collected by a polymeric lensed optical fiber tip dipped into a solution of synthetic nanoparticles into a lower features dimensional space, a discriminant function is able to correctly detect the presence of 100 nm synthetic nanoparticles in distilled water, in different concentration values. Results and discussion: This technique ensured an optimal performance (100% accuracy) in detecting nanoparticles for a concentration above or equal to 3.89 µg/mL (8.74E+10 particles/mL), and a performance of 90% for concentrations below this value and higher than 1.22E03 µg/mL (2.74E+07 particles/mL), values that are compatible with human plasmatic levels of tumor-derived and other types of EVs, as well as lipoproteins currently used as potential biomarkers of cardiovascular diseases. Conclusion: The proposed technique is able to detect synthetic nanoparticles whose dimensions are similar to EVs and other “clinically” relevant nanostructures, and in concentrations equivalent to the majority of cell-derived, platelet-derived EVs and lipoproteins physiological levels. This study can, therefore, provide valuable insights towards the future development of a device for EVs and other biological nanoparticles detection with innovative characteristics. Keywords: optical fiber sensors, light scattering effects, nanoparticles detection, extracellular vesicles (EVs) detection, lipoproteins detection, virus detection, nanoparticles, Brownian motion, diffusive analysis
format	article
author	Paiva JS Jorge PAS Ribeiro RSR Sampaio P Rosa CC Cunha JPS
author_facet	Paiva JS Jorge PAS Ribeiro RSR Sampaio P Rosa CC Cunha JPS
author_sort	Paiva JS
title	Optical fiber-based sensing method for nanoparticle detection through supervised back-scattering analysis: a potential contributor for biomedicine
title_short	Optical fiber-based sensing method for nanoparticle detection through supervised back-scattering analysis: a potential contributor for biomedicine
title_full	Optical fiber-based sensing method for nanoparticle detection through supervised back-scattering analysis: a potential contributor for biomedicine
title_fullStr	Optical fiber-based sensing method for nanoparticle detection through supervised back-scattering analysis: a potential contributor for biomedicine
title_full_unstemmed	Optical fiber-based sensing method for nanoparticle detection through supervised back-scattering analysis: a potential contributor for biomedicine
title_sort	optical fiber-based sensing method for nanoparticle detection through supervised back-scattering analysis: a potential contributor for biomedicine
publisher	Dove Medical Press
publishDate	2019
url	https://doaj.org/article/945df0209007408dbeee70e92ff3ac63
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Optical fiber-based sensing method for nanoparticle detection through supervised back-scattering analysis: a potential contributor for biomedicine

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