2013
DOI: 10.1016/j.biortech.2013.09.020
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High pressure assist-alkali pretreatment of cotton stalk and physiochemical characterization of biomass

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Cited by 64 publications
(14 citation statements)
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“…Cotton is an important economic crop in China which has output accounting for 25% of the total world’s cotton production 1 . The cultivation of cotton results in the wastes of cotton stalk (CS) amounting 40 million tons annually 2 . The large amount of CS is used as fuel for cooking and has adverse environmental impacts such as air pollutants emission in rural China.…”
Section: Introductionmentioning
confidence: 99%
“…Cotton is an important economic crop in China which has output accounting for 25% of the total world’s cotton production 1 . The cultivation of cotton results in the wastes of cotton stalk (CS) amounting 40 million tons annually 2 . The large amount of CS is used as fuel for cooking and has adverse environmental impacts such as air pollutants emission in rural China.…”
Section: Introductionmentioning
confidence: 99%
“…Enzymes reacted with pectin on the fabric in the process of impregnation of fabrics in pectinase solution, so the catalytic rate can be improved by prolonging the contact time between enzyme and substrate. 23
Figure 3.Catalytic reaction rate of pectinase with different soaking times.
…”
Section: Resultsmentioning
confidence: 99%
“…Enzymes reacted with pectin on the fabric in the process of impregnation of fabrics in pectinase solution, so the catalytic rate can be improved by prolonging the contact time between enzyme and substrate. 23 Catalytic reaction rate of pectinase at different pick-up Figure 4 shows the catalytic reaction rate curve of pectinase at different pick-up. The catalytic efficiency of pectinase is different at different pick-up conditions.…”
Section: Resultsmentioning
confidence: 99%
“…Y ¼ À683:09 þ 9:03X 1 þ 24:33X 2 þ 11:20X 3 þ 62:04X 4 À 0:049X 2 1 þ 0:050X 1 X 2 þ 0:13X 1 X 3 À 0:24X 1 X 4 À 0:24X 2 2 À 0:92X 2 X 3 À 1:30X 2 X 4 À 0:27X 2 3 À 0:23X 3 X 4 À 0:82X 2 4 According to the previous methods for assessing the accuracy of statistical model (Fang et al, 2010;Du et al, 2013;Matsakas and Christakopoulos, 2013), this study indicated that the established model was significant effective and stable for predicting reducing sugar yield from straw degradation (P < 0.05).…”
Section: Response Surface Optimization Of Pretreatment Conditionsmentioning
confidence: 99%