Polyhydroxyalkanoate granules quantification in mixed microbial cultures using image analysis: Sudan Black B versus Nile Blue A staining

Mesquita, Daniela P., Luis Amaral, A., Leal, Cristiano, Oehmen, Adrian, Reis, Maria A. M. and Ferreira, Eugenio C. (2015) Polyhydroxyalkanoate granules quantification in mixed microbial cultures using image analysis: Sudan Black B versus Nile Blue A staining. Analytica Chimica Acta, 865 8-15. doi:10.1016/j.aca.2015.01.018


Author Mesquita, Daniela P.
Luis Amaral, A.
Leal, Cristiano
Oehmen, Adrian
Reis, Maria A. M.
Ferreira, Eugenio C.
Title Polyhydroxyalkanoate granules quantification in mixed microbial cultures using image analysis: Sudan Black B versus Nile Blue A staining
Formatted title
Polyhydroxyalkanoate granules quantification in mixed microbial cultures using image analysis: Sudan Black B versus Nile Blue A staining
Journal name Analytica Chimica Acta   Check publisher's open access policy
ISSN 1873-4324
0003-2670
Publication date 2015-01-01
Sub-type Article (original research)
DOI 10.1016/j.aca.2015.01.018
Open Access Status Not yet assessed
Volume 865
Start page 8
End page 15
Total pages 8
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Abstract Polyhydroxyalkanoates (PHA) can be produced and intracellularly accumulated as inclusions by mixed microbial cultures (MMC) for bioplastic production and in enhanced biological phosphorus removal (EBPR) systems. Classical methods for PHA quantification use a digestion step prior to chromatography analysis, rendering them labor intensive and time-consuming. The present work investigates the use of two quantitative image analysis (QIA) procedures specifically developed for PHA inclusions identification and quantification. MMC obtained from an EBPR system were visualized by bright-field and fluorescence microscopy for PHA inclusions detection, upon Sudan Black B (SBB) and Nile Blue A (NBA) staining, respectively. The captured color images were processed by QIA techniques and the image analysis data were further treated using multivariate statistical analysis. Partial least squares (PLS) regression coefficients of 0.90 and 0.86 were obtained between QIA parameters and PHA concentrations using SBB and NBA, respectively. It was found that both staining procedures might be seen as alternative methodologies to classical PHA determination.
Keyword Enhanced biological phosphorus removal (EBPR) systems
Image analysis
Mixed microbial cultures (MMC)
Nile Blue A (NBA)
Polyhydroxyalkanoates (PHA)
Sudan Black B (SBB)
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Civil Engineering Publications
 
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Created: Tue, 08 May 2018, 13:37:16 EST by Ms Kirsty Fraser on behalf of School of Civil Engineering