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Hemicellulose

Hemicellulose is a type of plant cell wall polysaccharide that plays a crucial role in the structural integrity and function of plant tissues.
It is a heterogeneous group of branched and amorphous polysaccharides, including xylans, mannans, galactans, and glucans.
Hemicellulose provides strength and flexibility to the plant cell wall, and its composition and distribution vary among different plant species and tissues.
Researchers studying hemicellulose are interested in unraveling its complex structure, biosynthesis, and interactions with other cell wall components, as well as its potential applications in areas such as biofuel production, paper and textile industries, and food processing.
Optimizing hemicellulose research can be aided by AI-driven platforms like PubCompare.ai, which help identify the most effective and reproducible methods from academic literature, preprints, and patents.

Most cited protocols related to «Hemicellulose»

One winter rumen fluid sample was separated into a pellet of plant material (gentle centrifugation for 5 mins at 3000 g) and the supernatant was sequentially filtered through a 0.8 μm filter and then onto a 0.2 μm filter. DNA was extracted from four fractions: the pellet (1 g), half of the biomass retained on each of the 0.8 and 0.2 μm filters, and the filtrate that passed through the 0.2 μm filter. DNA was sequenced with Illumina Hi-Seq 2500 (Columbus, OH, USA) at The Ohio State University. 16S rRNA gene sequences were reconstructed from the Illumina trimmed unassembled reads using EMIRGE (Miller et al., 2011 (link)). Trimmed reads were assembled de novo to generate genome fragments using IDBA-UD (Peng et al., 2012 (link)). Genes were called, annotated and analyzed as previously described by Wrighton et al. (2012) (link) (see Supplementary Methods for details). A combination of phylogenetic signal, coverage and GC content was used to identify BS11 genomic bins (Sharon et al., 2013 (link)). Additional assembly and binning methods and validation information are available in the Supplementary Methods. Genomic completion of the BS11 bins was assessed based on the presence of a core gene set that typically occurs only once per genome and is widely conserved among bacteria and archaea (Wu and Eisen, 2008 (link)). For sequence-based comparison, average amino acid identity (AAI) and average nucleotide identity (ANI) values were calculated using the ANI and AAI calculators from the Kostas lab calculator (http://enve-omics.ce.gatech.edu/).
Existing reference datasets for the 11 ribosomal proteins chosen as single-copy phylogenetic marker genes (RpL2, 3, 4, 6, 14, 15, 16 and 18, and RpS8, 17 and 19) were augmented with sequences mined from sequenced genomes from the Bacteroidales phyla from the NCBI and JGI IMG databases (August 2015). Each individual protein dataset was aligned using MUSCLE 3.8.31 and then manually curated to remove end gaps (Edgar, 2004 (link)). Alignments were concatenated to form an 11-gene, 63 taxa alignment and then run through ProtPipeliner, a python script developed in-house for generation of phylogenetic trees (https://github.com/lmsolden/protpipeliner). The pipeline runs as follows: alignments are curated with minimal editing by GBLOCKS (Talavara and Castresana, 2007 (link)), and model selection conducted via ProtTest 3.4 (Darriba et al., 2011 (link)). A maximum likelihood phylogeny for the concatenated alignment was conducted using RAxML version 8.3.1 under the LG model of evolution with 100 bootstrap replicates (Stamatakis, 2014 (link)) and visualized in iTOL (Letunic and Bork, 2007 (link)). Identified glycoside hydrolases of selected functional classes (for example, chitin, hemicellulose and debranching) were identified by a Pfam HMM search. Briefly, Pfam search was performed and parsed into an output table organized by function per genome. In addition, we manually identified genes for central carbonmetabolism, motility and fermentation product generation in all genomes.
Publication 2016
Amino Acids Archaea Bacteria Biological Evolution Centrifugation Chitin Fermentation Genes Genetic Markers Genome Glycoside Hydrolases hemicellulose Iron Motility, Cell Muscle Tissue Nucleotides Plants Proteins Python Ribosomal Proteins RNA, Ribosomal, 16S Rumen
The pretreated corn stover was assayed following the NREL LAP-009 [29 ]. One gram of the freshly pretreated corn stover (dry base) was added into 0.1 M citrate buffer (pH 4.8) to prepare the 5% (w/w) solids slurry in the flask. The cellulase dosage was 15 FPU/g DM (dry pretreated corn stover mass) and the hydrolysis lasted for 72 hours at 50°C and 150 rpm of shaking.
Cellulose and xylan recovery was calculated based on the dry weight of corn stover before and after pretreatment. Cellulose components after pretreatment included cellulose, glucose, and glucan oligomers in the dry materials; and xylan components included hemicellulose, xylose, and xylan oligomers in the dry materials. The recovery was defined as the ratio of cellulose and xylan content after pretreatment to those before pretreatment. The direct cellulose conversion of the pretreated corn stover was indicated by the ratio of the glucose produced after the 72 hours’ enzymatic hydrolysis (subtracting the initial glucose and glucan oligomers in the pretreated corn stover) to the theoretical glucose released from the cellulose in the pretreated corn stover. The overall cellulose conversion of corn stover was indicated by the ratio of the total glucose produced to the total theoretical glucose released from the original corn stover before pretreatment, in which the cellulose loss in the pretreatment was taken into account. The original cellulose content was calculated by the cellulose content of the pretreated corn stover divided by the cellulose recovery.
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Publication 2014
Buffers Cellulase Cellulose Citrates Corns Enzymes Glucans Glucose hemicellulose Hydrolysis Xylans Xylose
Genetic linkage analysis was performed using the software packages MSTmap [42] (link) and JoinMap 4.0 [43] . The algorithm implemented in MSTMap can efficiently handle ultra-dense datasets from 10,000 to 100,000 markers, and independent comparisons of MSTMap with JoinMap have found it to produce the most accurate maps for most experiments with vey fast calculation times [44] (link). According to Wu et al. [42] (link) the software generates extremely accurate map outputs when the data quality is high.
Polymorphic SNP markers were first grouped at LOD 5.0 using MSTmap, and then marker orders were determined by finding the minimum spanning tree of a graph for each linkage group based on pairwise recombination frequencies. The marker order and distance in each linkage group were recalculated and confirmed by Joinmap 4.0, applying the mapping function of Kosambi [45] and a minimum LOD score of 3.0. Marker pairs with zero recombination were assigned to the same genetic bin. A reference genetic map was constructed with SNP bins being designated according to the index number of the first SNP marker in each bin.
Detection of QTL for seed colour, cellulose, hemicellulose and ADL content were performed in the RIL population by composite interval mapping using the QTL Cartographer software version WinQTLCart2.5 [46] . The LOD threshold for detection of significant QTL was set by permutation analysis with 300 permutations. The linkage map and QTL positions were drawn using the software Mapchart [47] (link).
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Publication 2013
Cellulose Chromosome Mapping Genetic Linkage Analysis hemicellulose Microtubule-Associated Proteins Neutrophil Recombination, Genetic Reproduction Trees
Culture protein lysates were prepared by French press of glucose and hemicellulose cultures in mid-log phase and from cellulose cultures after 2 weeks of growth. Supernatant proteins were isolated by three rounds of centrifugation (5k, 15 min) with transfer of the supernatant to a fresh tube, followed by 0.1 μ filtration. Proteins were precipitated with ¼ volume of 100% (w/w) trichloroacetic acid (TCA) and incubated for 60 min at 37°C in 1% SDS, 0.2 M NaOH, and 10 mM DTT. Cysteines were alkylated with 30 mM iodoacetamide at room temperature in the dark for 60 min. Proteins were again TCA precipitated and resuspended in 50 mM Tris–HCl (pH 7.6), 1 M urea and digested overnight at 37°C with sequencing grade trypsin (Promega, WI, USA) in a ∼50:1 substrate-to-enzyme ratio.
Peptide solutions were acidified with trifluoroacetic acid (TFA) to a final concentration of 0.5% and 500 μg of peptides were subjected to C18 reversed-phase extraction using a 100 mg Sep-Pak cartridge (Waters, MA). Following sample loading and a 4 ml wash step with 0.1% TFA, the cartridge was washed with 2 ml of 0.2 M citric acid/sodium phosphate buffer (pH 5.5) and peptides were labeled through ReDi with 8 ml of 0.8% formaldehyde (D2 labeled or in normal isotopic distribution, Sigma, MO) and 0.12 M sodium cyanoborohydride (Sigma) or sodium cyanoborodeuteride (CDN Isotopes, Canada) for 8 min. After washing with 0.1% TFA and 0.5% acetic acid AcOH, labeled peptides were eluted with 40% acetonitrile (ACN), 0.5% AcOH and 80% ACN, 0.5% AcOH. Light and heavy peptides were mixed and separated into 16 fractions by immobilized pH gradient isoelectric focusing (IPG-IEF) on a 18 cm pH 3–10 IPG strip using a IPGphor apparatus (Chick et al, 2008 (link)) (GE Healthcare, WI). Peptides were desalted using C18-StageTips (Rappsilber et al, 2003 (link)) and analyzed by microcapillary lLC-MS/MS using a hybrid dual pressure linear ion trap/Orbitrap mass spectrometer (LTQ Orbitrap Velos, Thermo Scientific, Bremen, Germany) essentially as described (Haas et al, 2006 (link)). Peptides were dissolved in 5% formic acid (FA) and 5% ACN and ∼1 μg was separated on a 100 μm × 20 cm C18-reversed phase (Magic C18AQ, Michrom Bioresources) column applying a gradient from 10% ACN to 32% ACN in 0.125% FA over a 75 or 100 min gradient at a flow rate of ∼300 nl min−1. The mass spectrometer was operated in a data-dependent mode with a full MS scan (resolution, 60 000) acquired in the Orbitrap analyzer followed by linear ion trap MS/MS spectra on the 20 most abundant ions detected in the full MS spectrum. Automatic gain control (AGC) targets were 3 × 106 for the full MS and 2000 for MS/MS, maximum ion accumulation times were set to 1000 ms (MS) and 150 ms (MS/MS). Fragmented peptide precursor ions were excluded from further selection for MS/MS for 20–60 s (see RAW data). The RAW data files have been deposited in Proteome Commons (http://www.proteomecommons.org) and can be downloaded using the following hash key:

Peptides were identified from MS/MS spectra using SEQUEST and were filtered to a 1% MS/MS spectra assignment false discovery rate using a target-decoy sequence database (Elias and Gygi, 2010 (link)) of the 3926 C. phytofermentans (NCBI NC_010001.faa) proteins, common contaminants such as trypsin and human keratins, and a decoy component of the reversed sequences of these proteins. Absolute protein abundances within each treatment were estimated from MS/MS spectral counts using APEX, a machine learning-supported analysis based on spectral counting (see APEX section of Supplementary Information). Extracted ion current peak areas (MS1 peaks) of light and heavy versions of the same peptide were compared to determine their relative concentration differences using VISTA (Bakalarski et al, 2008 (link)). Protein expression changes were calculated as the median peptide concentration change, here called the median MPA ratio. Significant differential expression was assessed using aggregate Z-scores for all peptides in a protein (see ReDi section of Supp Info). Peptide pairs were quantified only when their average signal-to-noise ratio was above five and proteins for which exclusively light or heavy peptides were detected are reported only if their identification was based on at least two unique peptides. After this additional filtering, the protein false discovery rate for each experiment was lower than 5%. Expression measurements are from individual cultures (APEX) or culture comparisons (ReDi). Replicate experiments were run to establish high reproducibility between biological replicates for APEX (Supplementary Figure S10) and for ReDi labeling of biological duplicates (Figure 3D), treatment comparisons (Figure 3E), and differentially labeled samples mixed at various ratios (Supplementary Figure S11).
Publication 2011

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Publication 2022
Acids Avicel Biomaterials Caldicellulosiruptor bescii Carbohydrates Cellobiose Cells Cellulose Fermentation Forests G-substrate hemicellulose Lignin morpholinopropane sulfonic acid Morpholinos Phocidae Populus Proteins Serum Soybeans Xylans

Most recents protocols related to «Hemicellulose»

The amount of hemicellulose is the difference between holocellulose and α-cellulose amounts. Using Equation (4), the hemicellulose content ( % H ) was determined: % Hemicellulose % H=% HC% C
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Publication 2024
To examine the utilization of cellulose and hemicellulose of corncob by M. thermophila, mature conidia were inoculated in 100 mL 1×VMM medium with 2% (w/v) corncob as carbon source. The cultures (25 mL) were harvested by filtering at different time-points and then washed with distilled water to obtain the total solids. For measuring the hemicellulose content, the solids were dried at 80 °C for 24 h, degraded in 1.5 mL 72% (w/w) H2SO4 at 30 °C for 1 h, after which 21.5 mL distilled water was added and the samples were incubated at 121 °C for 1 h. The final sample volume was adjusted to 25 mL. The xylose content in the acid hydrolysis samples was measured using high-performance liquid chromatography (HPLC) and used for calculating hemicellulose content. The xylose in the mycelia was ignored because it was present at low levels. Before measuring the cellulose content, 15 mL acid hydrolysis solution (acetic acid:nitric acid:H2O = 8:1:1) was added and the solution was vortexed and boiled for 1 h to eliminate mycelia and hemicellulose.
The solution was centrifuged and the precipitate was dried at 80 °C for 24 h. The dried samples were degraded as described above. The glucose content in the acid hydrolysis sample was measured for calculating cellulose content. The residual cellulose and hemicellulose contents (g/L) in the medium were calculated as follows: glucose content (g/L)/180.15 (g/mol) × (180.15 − 18.02) (g/mol); xylose content (g/L)/150.13 (g/mol) × (150.13 − 18.02) (g/mol).
Publication 2024
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Neutral and acid detergent fibres were measured in order to determine the insoluble fractions. Estimates of lignin, neutral detergent fibre (NDF), and acid detergent fibre (ADF) were made using a slightly modified version of the Van Soest (1967) and McQueen and Nicholson (1979) methods. The following formulas were used to estimate the contents of hemicellulose and cellulose: hemicellulose = NDF-ADF and cellulose = ADF-lignin, respectively.
Publication 2024
Myceliophthora thermophila was cultured in 1× VMM supplemented with 2% Avicel, 2% xylan, or AX to induce the production of cellulases or hemicellulases. The protein concentration in the supernatant was determined using the Bio-Rad Protein Assay kit (absorbance of 595 nm) (Bio-Rad, Hercules, CA, USA). The hemicellulose/cellulose hydrolysis reaction system included the condensed culture (50 μg protein), 2% substrate (Avicel or xylan), and 1 μg/mL sodium azide in 1 mL 1× VMM. The samples were incubated at 45 °C for 24 h with shaking at 150 rpm and then centrifuged (14,000 rpm for 15 min at 4 °C). The supernatants were filtered through a 0.22 μm membrane and analyzed using an HPLC system.
Publication 2024
The recovery
of carbohydrates from lignocellulosic biomass was carried out through
a GVL organosolv fractionation process.30 (link) Wood chips were treated with sulfuric acid (0.1 mol·L–1) in a GVL/water solution (70:30 wt %) for 1 h at 125 °C. This
allowed the effective dissolution of lignin and hemicellulose, which
were separated from cellulose by filtration. The resultant liquor
was diluted with water to precipitate lignin, which was separated
by centrifugation. The clarified solution was then treated with toluene
in a continuous solvent extractor for solvents lighter than water,
allowing the complete removal of GVL and furanics, which was assessed
by means of HPLC analysis (HiPlex H column, H2SO4 5 mM as an eluent at 0.6 mL·min–1, Refraction
Index Detection). The resultant solution was then neutralized with
Ca(OH)2, leading to the precipitation of gypsum and separation
of sulfate ions. The final solution was contacted with an acidic carbon
(CABOT Black Pearls 2000) to adsorb remaining organics in the solution
(e.g., acid soluble lignin). The aqueous sugar solution was then frozen
in liquid nitrogen and lyophilized to recover the carbohydrates. Carbohydrate
analysis was conducted through the NREL/TP-510-42623 standard (Supporting
Information, Table S2).
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Publication 2024

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The Ankom 200 Fiber Analyzer is a lab equipment designed to analyze the fiber content of various samples. It provides quantitative measurements of neutral detergent fiber (NDF), acid detergent fiber (ADF), and acid detergent lignin (ADL) in a rapid and automated manner.
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Oat spelt xylan is a type of hemicellulose extracted from the cell walls of oat and spelt plants. It is a complex polysaccharide composed of xylose units. Oat spelt xylan is commonly used as a raw material in various industrial applications, such as food, pharmaceutical, and cosmetic formulations.

More about "Hemicellulose"

Hemicellulose is a crucial component of plant cell walls, providing strength, flexibility, and structural integrity to plant tissues.
This heterogeneous group of branched and amorphous polysaccharides, including xylans, mannans, galactans, and glucans, plays a vital role in the overall function and composition of plant cell walls.
Researchers studying hemicellulose are intrigued by its complex structure, biosynthesis, and interactions with other cell wall constituents, such as cellulose and lignin.
Understanding these intricate relationships is crucial for unlocking the potential applications of hemicellulose in various industries, including biofuel production, paper and textile manufacturing, and food processing.
To optimize hemicellulose research, scientists often utilize advanced analytical techniques and equipment, such as the Ankom 200 Fiber Analyzer, S-4800 scanning electron microscope, and ICS-5000 ion chromatography system.
These tools enable researchers to accurately characterize the chemical composition, structural properties, and interactions of hemicellulose with other cell wall components.
Additionally, the use of enzymes like Cellic® CTec2 and Celluclast 1.5 L can aid in the efficient extraction and purification of hemicellulose from plant biomass.
The application of chemical agents, such as sodium hydroxide and glacial acetic acid, can also play a crucial role in the pretreatment and fractionation of hemicellulose for further analysis and applications.
Computational platforms like PubCompare.ai, powered by AI algorithms, can help researchers streamline their hemicellulose studies by identifying the most effective and reproducible methods from academic literature, preprints, and patents.
By leveraging these innovative tools and techniques, scientists can unravel the complexities of hemicellulose and unlock its full potential for a wide range of industries and applications.
Whether you're studying the structural properties of hemicellulose, its biosynthesis pathways, or its interactions with other cell wall components, the insights gained from these advanced approaches can be invaluable in optimizing your hemicellulose research and driving forward new discoveries.