2018
DOI: 10.1007/s10811-018-1488-0
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CO2 fixation capability of Chlorella sp. and its use in treating agricultural wastewater

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Cited by 36 publications
(9 citation statements)
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“…This result was higher than that obtained by Jacob-Lopes et al (2009), who achieved 0.562 g/L/day when they cultured Aphanothece microscopica Nägeli in a photobioreactor using a synthetic medium with a 12 h photoperiod. In another study by Hariz et al (2018), 0.1208 g CO2/L/day fixation rate was obtained under RSM optimum conditions using Chlorella sp. cultivated in a palm oil mill effluent.…”
Section: Co2 Fixation By the Microalgaementioning
confidence: 93%
“…This result was higher than that obtained by Jacob-Lopes et al (2009), who achieved 0.562 g/L/day when they cultured Aphanothece microscopica Nägeli in a photobioreactor using a synthetic medium with a 12 h photoperiod. In another study by Hariz et al (2018), 0.1208 g CO2/L/day fixation rate was obtained under RSM optimum conditions using Chlorella sp. cultivated in a palm oil mill effluent.…”
Section: Co2 Fixation By the Microalgaementioning
confidence: 93%
“…Additionally, even after the anaerobic stabilization stage, the derived AP-POME still has a residual high biochemical and chemical oxygen demand, as well as a high concentration of nitrogen, that are above the levels permitted by most environmental policies and regulations PLOS ONE [10]. Table 2 shows that Chlamydomonas biconvexa Embrapa|LBA40 culturing in AP-POME leads to 34.7% reduction of the nitrate after 15 days of cultivation, as well as 99% reduction of the nitrite and ammoniacal nitrogen levels present in the effluent after 5 days of cultivation.…”
Section: Effect Of Algal Cultivation On Anaerobic Pond Palm Oil Mill mentioning
confidence: 99%
“…The main advantages are the high efficiency for organic and solid matter removal and the low cost of implementation and maintenance. However, pond systems require large areas, long stabilization periods (usually over 3 months) and do not completely eliminate the organic and inorganic load of the wastewater [9,10].…”
Section: Introductionmentioning
confidence: 99%
“…Such limitations may be overcome by a three-level statistical design as it can minimize the total number of experiments, provide appropriate models for process optimization and give better illustration of the inter-variable interactions. The most well-known statistical approach is response surface methodology (RSM), which consists of a central composite design (CCD) (Lingamdinne et al 2020), Box-Behnken design (BBD) (Bahari et al 2019) and D-optimal design (Ba-Abbad et al 2013;Hariz et al 2018). RSM has been proven to provide significantly improved results using few experimental runs.…”
Section: Introductionmentioning
confidence: 99%