Cellulose-Hemicellulose-Lignin Content Analysis

CD BioGlyco has advanced technology and equipment and well-trained researchers to provide customers with systematic and rigorous scientific research services. Our rich experience in Cellulose-Hemicellulose-Lignin Content Analysis enables us to provide services more efficiently. We have the confidence to be your essential research assistant in the field of glycobiology.

Background

Cellulose, hemicellulose and lignin are the three major components of plant cell walls. Cellulose is a macromolecular polysaccharide composed of glucose and the most widely distributed and most abundant polysaccharide in nature. and most abundant polysaccharide in nature. Hemicellulose is a heterogeneous polymer composed of several different types of monosaccharides. Its hydrophilic property makes the cell wall swelling and gives fibers elasticity. property makes the cell wall swelling, and give fibers elasticity. Lignin is an amorphous polymer composed of phenylpropane units connected by carbon-carbon bonds and ether bonds. As a typical biomass material, lignin is one of the rare renewable resources among aromatic compounds.

The rate of conversion to liquid fuels is affected by cell wall composition and physical architecture. The cell wall's intrinsic recalcitrance to hydrolysis is the major challenge in converting plant biomass into fermentable sugars. The Van Soest method is a traditional wet chemistry method for measuring cellulose, hemicellulose, and lignin. However, it can be chemical reagent consuming, time-consuming, and laborious, which can no longer meet the requirement of rapid and real-time detection in large-scale industrial biomass utilization.

Fig 1. Cellulose fiber from rice straw with a scanning electron microscopeFig 1. Cellulose fiber from rice straw with a scanning electron microscope

Services

At CD BioGlyco, we provide the following technoloqies to analyze Cellulose/Hemicellulose/Lignin contents.

One quantitative method is the visible and near infrared (VIS/NIR) spectroscopy. In the process, prediction models will be established using partial least squares (PLS), least squares support vector machine regression (LSSVR), and radial basis function neural network (RBF_NN) based on whole wavelengths. Three determination models will be built after models' calibration.

Applications

  • Plant fiber materials research
  • Cell wall composition and physical architecture research
  • Plant biomass conversion

Advantages of Us

  • Innovative technologies
  • Data accuracy
  • Professional researchers
  • Cost-effective

CD BioGlyco has provided reliable and cost-effective research services to customers all over the world and has received unanimous praise. We will always adhere to the principle of customer-centricity, keep full transparency in the experimental process and speed up the research of glycobiology for customers.

Customers can contact our employees directly and we will respond promptly. If you are interested in our services, please contact us for more detailed information.

Reference:

  1. Jin, X.; et al. Determination of hemicellulose, cellulose and lignin content using visible and near infrared spectroscopy in Miscanthus sinensis. Bioresource Technology. 2017.
This service is for Research Use Only, not intended for any clinical use.

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