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Author |
Blansaer, N.; Alloul, A.; Verstraete, W.; Vlaeminck, S.E.; Smets, B.F. |
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Title |
Aggregation of purple bacteria in an upflow photobioreactor to facilitate solid/liquid separation : impact of organic loading rate, hydraulic retention time and water composition |
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A1 Journal article |
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Year  |
2022 |
Publication |
Bioresource technology |
Abbreviated Journal |
Bioresource Technol |
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Volume |
348 |
Issue |
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Pages |
126806-126809 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
Purple non-sulfur bacteria (PNSB) form an interesting group of microbes for resource recovery from wastewater. Solid/liquid separation is key for biomass and value-added products recovery, yet insights into PNSB aggregation are thus far limited. This study explored the effects of organic loading rate (OLR), hydraulic retention time (HRT) and water composition on the aggregation of Rhodobacter capsulatus in an anaerobic upflow photobioreactor. Between 2.0 and 14.6 gCOD/(L.d), the optimal OLR for aggregation was 6.1 gCOD/(L.d), resulting in a sedimentation flux of 5.9 kgTSS/(m2.h). With HRT tested between 0.04 and 1.00 d, disaggregation occurred at the relatively long HRT (1 d), possibly due to accumulation of thus far unidentified heat-labile metabolites. Chemical oxygen demand (COD) to nitrogen ratios (6–35 gCOD/gN) and the nitrogen source (ammonium vs. glutamate) also impacted aggregation, highlighting the importance of the type of wastewater and its pre-treatment. These novel insights to improve purple biomass separation pave the way for cost-efficient PNSB applications. |
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Wos |
000800442200008 |
Publication Date |
2022-02-04 |
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Edition |
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ISSN |
0960-8524 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
11.4 |
Times cited |
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Open Access |
OpenAccess |
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Notes |
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Approved |
Most recent IF: 11.4 |
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Call Number |
UA @ admin @ c:irua:185843 |
Serial |
7123 |
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Author |
Agrawal, S.; Weissbrodt, D.G.; Annavajhala, M.; Jensen, M.M.; Arroyo, J.M.C.; Wells, G.; Chandran, K.; Vlaeminck, S.E.; Terada, A.; Smets, B.F.; Lackner, S. |
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Title |
Time to act–assessing variations in qPCR analyses in biological nitrogen removal with examples from partial nitritation/anammox systems |
Type |
A1 Journal article |
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Year |
2021 |
Publication |
Water Research |
Abbreviated Journal |
Water Res |
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Volume |
190 |
Issue |
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Pages |
116604 |
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Keywords |
A1 Journal article; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
Quantitative PCR (qPCR) is broadly used as the gold standard to quantify microbial community fractions in environmental microbiology and biotechnology. Benchmarking efforts to ensure the comparability of qPCR data for environmental bioprocesses are still scarce. Also, for partial nitritation/anammox (PN/A) systems systematic investigations are still missing, rendering meta-analysis of reported trends and generic insights potentially precarious. We report a baseline investigation of the variability of qPCR-based analyses for microbial communities applied to PN/A systems. Round-robin testing was performed for three PN/A biomass samples in six laboratories, using the respective in-house DNA extraction and qPCR protocols. The concentration of extracted DNA was significantly different between labs, ranged between 2.7 and 328 ng mg−1 wet biomass. The variability among the qPCR abundance data of different labs was very high (1−7 log fold) but differed for different target microbial guilds. DNA extraction caused maximum variation (3–7 log fold), followed by the primers (1–3 log fold). These insights will guide environmental scientists and engineers as well as treatment plant operators in the interpretation of qPCR data. |
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Wos |
000632807700001 |
Publication Date |
2020-11-05 |
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ISSN |
0043-1354; 1879-2448 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
6.942 |
Times cited |
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Open Access |
OpenAccess |
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Notes |
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Approved |
Most recent IF: 6.942 |
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Call Number |
UA @ admin @ c:irua:173838 |
Serial |
8672 |
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