2007
DOI: 10.1007/s12010-007-9209-1
|View full text |Cite
|
Sign up to set email alerts
|

Degradation of eucalypt waste components by Lentinula edodes strains detected by chemical and near-infrared spectroscopy methods

Abstract: There are many changes, both qualitative and quantitative, in eucalypt waste during growth and fructification of Lentinula edodes. Wet chemical analysis and near-infrared (NIR) spectroscopy were used in conjunction with multivariate regression and principal components analysis to monitor biodegradation of eucalyptus waste during growth of several L. edodes strains. Weight and component losses of eucalypt residue after biodegradation by L. edodes strains were compared for periods of 1 to 5 mo. Decrease in cellu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
2
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 14 publications
(3 citation statements)
references
References 14 publications
0
2
0
Order By: Relevance
“…The enrichment of cellulose could probably be interfering with the intensity of this band. However, the band at 1730 cm À1 decreased due to the removal of arabinoxylan component (acetyl and uronic ester groups) after pretreatment [15,20]. Generally, the intensity of the bands between 1600 and 1300 increased with increasing pretreatment severity.…”
Section: Samplementioning
confidence: 98%
See 1 more Smart Citation
“…The enrichment of cellulose could probably be interfering with the intensity of this band. However, the band at 1730 cm À1 decreased due to the removal of arabinoxylan component (acetyl and uronic ester groups) after pretreatment [15,20]. Generally, the intensity of the bands between 1600 and 1300 increased with increasing pretreatment severity.…”
Section: Samplementioning
confidence: 98%
“…1A and were typical of the structure of sugarcane bagasse [7]. Principal component analysis (PCA) was applied to the FT-IR spectral data to allow for the discrimination of samples based on spectral information, and the identification of groups of samples that bear similarities or differences [20]. The PCA score plot depicts that samples were separated mainly on PC1 axis ( Fig.…”
Section: Ft-ir Analysis Of Untreated Materialsmentioning
confidence: 99%
“…Recent industrial developments have introduced local production of L edodes in the Ecuadorian highlands. Several studies elsewhere have reported variation in the composition de L edodes reflecting climatic changes and growth conditions (Pedri et al, 2015;Brienzo et al, 2007). Some of these variations may result in changes among secondary metabolites, as already reported for several enzymes (Pedri et al, 2015;Silva, 2008).…”
Section: Introductionmentioning
confidence: 56%