2016
DOI: 10.1016/j.biortech.2015.08.014
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Mild-temperature thermochemical pretreatment of green macroalgal biomass: Effects on solubilization, methanation, and microbial community structure

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Cited by 36 publications
(14 citation statements)
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References 27 publications
(35 reference statements)
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“…Comparatively, a similar treatment of Ulva spp. with 0.1 M or 0.2 M HCl or NaOH at 60 • C, 75 • C, and 90 • C did not increase methane yields compared to only thermal pre-treatment (Table 4) [118]. However, both experiments used different methods for BMP determination, making the direct comparison between the two experiments challenging.…”
Section: Alkali or Acidic Treatmentmentioning
confidence: 98%
“…Comparatively, a similar treatment of Ulva spp. with 0.1 M or 0.2 M HCl or NaOH at 60 • C, 75 • C, and 90 • C did not increase methane yields compared to only thermal pre-treatment (Table 4) [118]. However, both experiments used different methods for BMP determination, making the direct comparison between the two experiments challenging.…”
Section: Alkali or Acidic Treatmentmentioning
confidence: 98%
“…Not only are macroalgae able to help decrease atmospheric CO2, but it has also shown to have other environmental impacts (Jung, et. al.…”
Section: The Potential Of Green Macroalgaementioning
confidence: 99%
“…The negative effect of high NaOH concentration on Ym may be related to the inhibition of methanogenic activity [13]. One concern regarding pretreatment methods that use strong alkalis is the inhibitory effect of salt stress caused by the addition of alkali (for pretreatment) and acid (for pH neutralization) on methanogenesis [17].…”
Section: Correlation Between Sd and Ymmentioning
confidence: 99%
“…Therefore, a total of thirteen pretreatment trials were conducted. Based on previous studies on thermochemical pretreatment of different feedstocks [11,13], NaOH concentrations and temperatures in the ranges of 0-0.2 M and 60-90 • C, respectively, were tested in this study. A sequential procedure of collecting data, testing polynomial equations, and evaluating model adequacy was followed for the RSA.…”
Section: Experimental Design For Response Surface Analysismentioning
confidence: 99%