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| Titel |
Optimizing the impact of temperature on bio-hydrogen production from food waste and its derivatives under no pH control using statistical modelling |
| VerfasserIn |
C. Arslan, A. Sattar, C. Ji, S. Sattar, K. Yousaf, S. Hashim |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 12, no. 21 ; Nr. 12, no. 21 (2015-11-13), S.6503-6514 |
| Datensatznummer |
250118165
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| Publikation (Nr.) |
 copernicus.org/bg-12-6503-2015.pdf |
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| Zusammenfassung |
| The effect of temperature on bio-hydrogen production by co-digestion of
sewerage sludge with food waste and its two derivatives, i.e. noodle waste
and rice waste, was investigated by statistical modelling. Experimental
results showed that increasing temperature from mesophilic (37 °C)
to thermophilic (55 °C) was an effective mean for increasing
bio-hydrogen production from food waste and noodle waste, but it caused a
negative impact on bio-hydrogen production from rice waste. The maximum
cumulative bio-hydrogen production of 650 mL was obtained from noodle waste
under thermophilic temperature condition. Most of the production was
observed during the first 48 h of incubation, which continued until 72 h
of incubation. The decline in pH during this interval was 4.3 and 4.4 from a
starting value of 7 under mesophilic and thermophilic conditions,
respectively. Most of the glucose consumption was also observed during 72 h
of incubation and the maximum consumption was observed during the first 24 h, which was the same duration where the maximum pH drop occurred. The
maximum hydrogen yields of 82.47 mL VS−1, 131.38 mL COD−1, and 44.90 mL glucose−1
were obtained from thermophilic food waste, thermophilic noodle waste and
mesophilic rice waste, respectively. The production of volatile fatty acids
increased with an increase in time and temperature in food waste and noodle
waste reactors whereas they decreased with temperature in rice waste
reactors. The statistical modelling returned good results with high values
of coefficient of determination (R2) for each waste type and 3-D
response surface plots developed by using models developed. These plots
developed a better understanding regarding the impact of temperature and
incubation time on bio-hydrogen production trend, glucose consumption during
incubation and volatile fatty acids production. |
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