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Using Hyperspectral Imaging to Quantify Phototrophic Biofilms on Granite
dc.contributor.author | Ramil, Alberto | |
dc.contributor.author | Vázquez-Nion, Daniel | |
dc.contributor.author | Pozo Antonio, José Santiago | |
dc.contributor.author | Sanmartín, Patricia | |
dc.contributor.author | Prieto Lamas, Beatriz | |
dc.date.accessioned | 2024-02-08T18:22:53Z | |
dc.date.issued | 2020-03 | |
dc.identifier.citation | Ramil, A., Vázquez-Nion, D., Pozo-Antonio, J., Sanmartín, P., Prieto, B. Using Hyperspectral Imaging to Quantify Phototrophic Biofilms on Granite. JOURNAL OF ENVIRONMENTAL INFORMATICS, 2018, vol. 35, no. 1 Disponible en: http://www.jeionline.org/index.php?journal=mys&page=article&op=view&path%5B%5D=201800401. | es_ES |
dc.identifier.issn | 1726-2135 | |
dc.identifier.uri | http://hdl.handle.net/2183/35540 | |
dc.description.abstract | [Abstract]: This paper reports a non-invasive method for in situ biofilm quantification based on the use of hyperspectral imaging to analyze a chromatically and texturally heterogeneous substrate as granite colonized by green algae and cyanobacteria. Biofilm-forming microorganisms were inoculated on granite blocks and incubated under laboratory conditions for 21 days. The intensity of the green stains formed on the granite surfaces differed depending on the initial concentration of microorganisms used. A biofilm quantification (BQ) index was computed to determine the level of colonization on the surfaces. The index was obtained by comparing the quotient of the reflectance of the green (G) and red (R) bands of each pixel of the hyperimage against a threshold value, fth. The optimal value of the threshold was determined by examining the linear correlation between the BQ index and the chlorophyll a extracted. The BQ results were then compared with the F0 and ΔE*ab parameters yielded by colour spectrophotometry and PAM fluorometry techniques and used as reference methodologies to quantify greening on stone surfaces. The BQ index showed a high level of consistency with all of the other parameters; it was linearly correlated with the chlorophyll a concentration, F0 andΔE*ab, with high coefficients of determination (r2 > 0.92) for the range from 1.87 to 5.69 μg chl a.cm-2. The strength of the BQ index lies in its double use as a biomarker of quantity and percentage cover, as well as its good performance under different conditions, ranging from initial phototrophic colonization and thin (young) biofilms covering 21.19% of the surface to profuse biological colonization covering 67.36% of the surface. Moreover, the proposed BQ index may be able to be used with other types of rock with less heterogeneous surfaces than granite. | es_ES |
dc.description.sponsorship | Xunta de Galicia; GRC2014/028 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED481B/2017/016 | es_ES |
dc.description.sponsorship | Xunta de Galicia; POS-B/2016/030 | es_ES |
dc.description.sponsorship | This work was supported by Spanish research project CTM2010-19584 and Xunta de Galicia grant GRC2014/028. J.S. Pozo Pozo-Antonio was supported by a postdoctoral contract with the University of Vigo within the framework of the 2011 2011-2015 Galician Plan for Research, Innovation and Growth (Plan I2C), Modality A (2014 Call). D. V Vázquez-Nion is financially supported by a post post- doctoral contract from the Xunta de Galicia ED481B/2017/016). P. Sanmartín is financially supported by a postdoct oral contract from the Xunta de Galicia (POS-B/2016/030). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | International Society for Environmental Information Sciences | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/Plan Nacional de I+D+i 2008-2011/CTM2010-19584 /ES/DEFINICION DE LOS PROTOCOLOS MAS EFICACES PARA LA DESALACION Y LA LIMPIEZA DE COSTRAS NEGRAS EN GRANITOS ORNAMENTALES | es_ES |
dc.relation.uri | https://doi.org/10.3808/jei.201800401 | es_ES |
dc.subject | Biofilms | es_ES |
dc.subject | Chlorophyll fluorescence | es_ES |
dc.subject | Colour spectrophotometry | es_ES |
dc.subject | Hyperspectral imaging | es_ES |
dc.subject | Non-invasive technique | es_ES |
dc.title | Using Hyperspectral Imaging to Quantify Phototrophic Biofilms on Granite | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/embargoedAccess | es_ES |
dc.date.embargoEndDate | 9999-99-99 | es_ES |
dc.date.embargoLift | 10007-06-07 | |
UDC.journalTitle | Journal of Environmental Informatics | es_ES |
UDC.volume | 35 | es_ES |
UDC.issue | 1 | es_ES |
UDC.startPage | 34 | es_ES |
UDC.endPage | 44 | es_ES |
dc.identifier.doi | https://doi.org/10.3808/jei.201800401 |
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