Optimisation of glycogen quantification in mixed microbial cultures

Ana B. Lanham; Ana R. Ricardo; Marta Coma; Joana Fradinho; Mónica Carvalheira; Adrian Oehmen; Gilda Carvalho; Maria A. M. Reis

doi:10.1016/j.biortech.2012.05.087

Optimisation of glycogen quantification in mixed microbial cultures

Ana B. Lanham, Ana R. Ricardo, Marta Coma, Joana Fradinho, Mónica Carvalheira, Adrian Oehmen, Gilda Carvalho, Maria A. M. Reis

Research output: Contribution to journal › Article › peer-review

73 Citations (Scopus)

Abstract

This study addressed the key factors affecting the extraction and quantification of glycogen from floccular and granular mixed microbial cultures collected from activated sludge, nutrient removal systems and photosynthetic consortiums: acid concentration, hydrolysis time and concentration of biomass in the hydrolysis. Response surface modelling indicated that 0.9M HCl and a biomass concentration of 1mgmL ^-1 were optimal conditions for performing acid hydrolysis. Floccular samples only needed a 2-h hydrolysis time whereas granular samples required as much as 5h. An intermediate 3h yielded an error of 10% compared to the results obtained with the hydrolysis times specifically tailored to the type of biomass and can thus be recommended as a practical compromise.

Original language	English
Pages (from-to)	518-525
Number of pages	8
Journal	Bioresource Technology
Volume	118
DOIs	https://doi.org/10.1016/j.biortech.2012.05.087
Publication status	Published - 1 Aug 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Carbohydrate analysis
Design of experiments
Floccular and granular sludge
Glycogen quantification
Response surface modelling

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10.1016/j.biortech.2012.05.087Licence: CC BY-NC-ND

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title = "Optimisation of glycogen quantification in mixed microbial cultures",

abstract = "This study addressed the key factors affecting the extraction and quantification of glycogen from floccular and granular mixed microbial cultures collected from activated sludge, nutrient removal systems and photosynthetic consortiums: acid concentration, hydrolysis time and concentration of biomass in the hydrolysis. Response surface modelling indicated that 0.9M HCl and a biomass concentration of 1mgmL -1 were optimal conditions for performing acid hydrolysis. Floccular samples only needed a 2-h hydrolysis time whereas granular samples required as much as 5h. An intermediate 3h yielded an error of 10\% compared to the results obtained with the hydrolysis times specifically tailored to the type of biomass and can thus be recommended as a practical compromise.",

keywords = "Carbohydrate analysis, Design of experiments, Floccular and granular sludge, Glycogen quantification, Response surface modelling",

author = "Lanham, \{Ana B.\} and Ricardo, \{Ana R.\} and Marta Coma and Joana Fradinho and M{\'o}nica Carvalheira and Adrian Oehmen and Gilda Carvalho and Reis, \{Maria A. M.\}",

note = "The authors are thankful for the financial support from Fundacao para a Ciencia e Tecnologia, Portugal through the PhD Grants SFRH/BD/25275/2005, SFRH/BD29477/2006, SFRH/BD42085/2007, SFRH/BD65113/2009, the Post-Doc Grant BDP/30800/2006 and the Research Projects PTDC/EBB-EBI/103147/2008, PEst-C/EQB/LA0006/2011 and PEst-OE/EQB/LA0004/2011. Marta Coma also wishes to thank the financial support of the Spanish Government through the Research Project MICINN-PT2009-0047 and the Luso-Espanhola integrated action E-94/10.",

year = "2012",

month = aug,

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doi = "10.1016/j.biortech.2012.05.087",

language = "English",

volume = "118",

pages = "518--525",

journal = "Bioresource Technology",

issn = "0960-8524",

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TY - JOUR

T1 - Optimisation of glycogen quantification in mixed microbial cultures

AU - Lanham, Ana B.

AU - Ricardo, Ana R.

AU - Coma, Marta

AU - Fradinho, Joana

AU - Carvalheira, Mónica

AU - Oehmen, Adrian

AU - Carvalho, Gilda

AU - Reis, Maria A. M.

N1 - The authors are thankful for the financial support from Fundacao para a Ciencia e Tecnologia, Portugal through the PhD Grants SFRH/BD/25275/2005, SFRH/BD29477/2006, SFRH/BD42085/2007, SFRH/BD65113/2009, the Post-Doc Grant BDP/30800/2006 and the Research Projects PTDC/EBB-EBI/103147/2008, PEst-C/EQB/LA0006/2011 and PEst-OE/EQB/LA0004/2011. Marta Coma also wishes to thank the financial support of the Spanish Government through the Research Project MICINN-PT2009-0047 and the Luso-Espanhola integrated action E-94/10.

PY - 2012/8/1

Y1 - 2012/8/1

N2 - This study addressed the key factors affecting the extraction and quantification of glycogen from floccular and granular mixed microbial cultures collected from activated sludge, nutrient removal systems and photosynthetic consortiums: acid concentration, hydrolysis time and concentration of biomass in the hydrolysis. Response surface modelling indicated that 0.9M HCl and a biomass concentration of 1mgmL -1 were optimal conditions for performing acid hydrolysis. Floccular samples only needed a 2-h hydrolysis time whereas granular samples required as much as 5h. An intermediate 3h yielded an error of 10% compared to the results obtained with the hydrolysis times specifically tailored to the type of biomass and can thus be recommended as a practical compromise.

AB - This study addressed the key factors affecting the extraction and quantification of glycogen from floccular and granular mixed microbial cultures collected from activated sludge, nutrient removal systems and photosynthetic consortiums: acid concentration, hydrolysis time and concentration of biomass in the hydrolysis. Response surface modelling indicated that 0.9M HCl and a biomass concentration of 1mgmL -1 were optimal conditions for performing acid hydrolysis. Floccular samples only needed a 2-h hydrolysis time whereas granular samples required as much as 5h. An intermediate 3h yielded an error of 10% compared to the results obtained with the hydrolysis times specifically tailored to the type of biomass and can thus be recommended as a practical compromise.

KW - Carbohydrate analysis

KW - Design of experiments

KW - Floccular and granular sludge

KW - Glycogen quantification

KW - Response surface modelling

UR - https://www.scopus.com/pages/publications/84862295967

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DO - 10.1016/j.biortech.2012.05.087

M3 - Article

C2 - 22717572

AN - SCOPUS:84862295967

SN - 0960-8524

VL - 118

SP - 518

EP - 525

JO - Bioresource Technology

JF - Bioresource Technology

ER -

Optimisation of glycogen quantification in mixed microbial cultures

Abstract

UN SDGs

Keywords

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