RT journal article
T1 Development and validation of a sampling and analysis method to determine biogenic sulfur in a desulfurization bioreactor by gas chromatography coupled with a pulsed flame photometric detector (GC-PFPD).
A1 Torres Herrera, Sandra
A1 González Cortés, José Joaquín
A1 Almengló Cordero, Fernando
A1 Ramírez Muñoz, Martín
A1 Cantero Moreno, Domingo
A2 Ingeniería Química y Tecnología de Alimentos
K1 Biogenic sulfur
K1 GC-PFPD
K1 Toluene
K1 Filtration
K1 Response surface methodology (RSM)
AB Suspended biomass bioreactors can be operated to remove H2S from biogas under anoxic conditions and produce elemental sulfur, the commercial value of which has been demonstrated. In the present paper, a novel methodology comprising the optimization of a determination method performed in a gas chromatograph equipped with a pulsed flame photometric detector (GC-PFPD), combined with a simple preparation based on filtration and extraction with toluene, is proposed. The injector temperature and carrier gas flow rate (QHe) values were optimized using a response surface methodology based on a face-centred composite central design. This optimization revealed that the optimum conditions were an injector temperature and carrier gas flow rate of 222°C and 7mLmin-1, respectively. The chromatographic method shows an analysis time of 48min, a detection limit of more than 5.9mgL-1, a relative standard deviation of less than 3.71%, and a sulfur recovery percentage of more than 98%. These values provide excellent linearity and a reasonable concentration range (10-200mgL-1). Finally, a measurement error of 4.45% was obtained when using the present method in a selectivity test.Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.
PB ELSEVIER
SN 1873-3336
YR 2022
FD 2022-02
LK http://hdl.handle.net/10498/25885
UL http://hdl.handle.net/10498/25885
LA eng
NO This work has been co-financed by the 2014–2020 ERDF OperationalProgramme and by the Department of Economy, Knowledge, Businessand University of the Regional Government of Andalusia. Projectreference: FEDER-UCA18-106138.
DS Repositorio Institucional de la Universidad de Cádiz
RD 08-nov-2026