Removal of pollutants and accumulation of high-value cell inclusions in heavy oil refinery wastewater treatment system using Rhodopseudomonas and Pseudomonas:Effects of light intensity

Sun, Yujie; Li, Xiangkun; Xie, Hongwei; Liu, Gaige

doi:10.1016/j.cej.2021.132586

Cited by 13 publications

(1 citation statement)

References 56 publications

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“…Similarly, Kim et al (1992) reported light inhibition above 40 klx in GSB Chlorobaculum thiosulfatiphilum (previously Chlorobium thiosulfatophilum) while Takashima et al (2000) observed gradual inhibition from 5 to 16 klx in Prosthecochloris aestuarii (GSB). On the other hand, increasing light intensity up to inhibitory value may by beneficial as it increases the cell growth (Sun et al, 2022;Ross and Pott, 2022) and H 2 S removal (Egger et al, 2020).…”

Section: Test Series 3: Influence Of Light Intensity On Gsb and Psb G...mentioning

confidence: 99%

Photoautotrophic removal of hydrogen sulfide from biogas using purple and green sulfur bacteria

Struk

Sepúlveda-Muñoz²,

Kushkevych³

et al. 2023

Journal of Hazardous Materials

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Section: Test Series 3: Influence Of Light Intensity On Gsb and Psb G...mentioning

confidence: 99%

Photoautotrophic removal of hydrogen sulfide from biogas using purple and green sulfur bacteria

Struk

Sepúlveda-Muñoz²,

Kushkevych³

et al. 2023

Journal of Hazardous Materials

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Light–dark cycles improve the 3HV molar fraction in PHBV produced by photoheterotrophic bacteria from odd‐chain fatty acids and cheese whey

Montiel‐Corona,

Puyol,

Buitrón

2024

J of Chemical Tech & Biotech

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BACKGROUNDPoly(3‐hydroxybutyrate‐co‐3‐hydroxyvalerate) (PHBV) is the most promising biopolymer for replacing petroleum‐derived plastics from polyhydroxyalkanoates (PHA) copolymers. The mechanical properties of PHBV improve as the content of the 3‐hydroxyvalerate monomer (3HV) increases. However, there is no information about the effect of light/dark cycles on PHA composition produced by phototrophic purple bacteria. This work aimed to improve the molar fraction of 3HV in the PHBV copolymer formed by a mixed phototrophic culture enriched in Rhodopseudomonas palustris, combining the effect of the illumination regime and using odd‐chain fatty acids and cheese whey as carbon sources.RESULTSUnder continuous lighting, the PHBV concentration (mg L−1) and 3HV molar fraction (%) were 508 ± 25 mg L−1 (1%), 193 ± 10 mg L−1 (22%), 252 ± 10 mg L−1 (1%), and 286 ± 10 mg L−1 (3%) for valerate, propionate, lactate, and fermented cheese whey, respectively. Interestingly, under light/dark cycles, the 3HV molar fraction increased 23‐fold when using valerate (light/dark cycle of 30 min), 12‐fold with lactate, and 1.5‐fold with fermented cheese whey. The PHBV content (% w/w) reached was 20–25%, 14–16%, 12–15%, and 8–12% for valerate, propionate, lactate, and fermented cheese whey, respectively.CONCLUSIONCombining odd‐chain fatty acids and light–dark cycles was an excellent strategy to improve the 3HV molar fraction in PHBV. This study shows for the first time that the 3HV molar fraction production is positively affected by light/dark cycles using odd‐chain fatty acids. Using light/dark cycles brings a double benefit: improving the molar fraction of 3HV in the polymer and decreasing the illumination‐associated cost. © 2024 Society of Chemical Industry (SCI).

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Predicting photosynthetic bacteria-derived protein synthesis from wastewater using machine learning and causal inference

Hou,

Liu,

et al. 2024

Bioresource Technology

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Removal of pollutants and accumulation of high-value cell inclusions in heavy oil refinery wastewater treatment system using Rhodopseudomonas and Pseudomonas:Effects of light intensity

Cited by 13 publications

References 56 publications

Photoautotrophic removal of hydrogen sulfide from biogas using purple and green sulfur bacteria

Photoautotrophic removal of hydrogen sulfide from biogas using purple and green sulfur bacteria

Light–dark cycles improve the 3HV molar fraction in PHBV produced by photoheterotrophic bacteria from odd‐chain fatty acids and cheese whey

Predicting photosynthetic bacteria-derived protein synthesis from wastewater using machine learning and causal inference

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