Related Experiment Video
Updated: Feb 2, 2026
08:34
Bioprinting Cellularized Constructs Using a Tissue-specific Hydrogel Bioink
Published on: April 21, 2016
17.4K
Construction of ordered structure in polysaccharide hydrogel: A review
Jingyi Nie1, Boying Pei1, Zhengke Wang1
1MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Institute of Biomedical Macromolecules, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou 310027, China.
Carbohydrate Polymers
|November 18, 2018
Summary
This review explores techniques for creating ordered structures in polysaccharide hydrogels. These advanced hydrogels offer enhanced properties for materials science applications.
Area of Science:
- Materials Science
- Polymer Chemistry
- Biomaterials Engineering
Background:
- Hydrogels are 3D hydrophilic polymer networks with diverse crosslinking methods.
- Polysaccharides are highly regarded polymers for hydrogel fabrication due to their unique properties.
- Ordered hierarchical structures in hydrogels significantly enhance their properties and application potential compared to homogeneous ones.
Purpose of the Study:
- To review techniques for constructing ordered hierarchical structures in polysaccharide hydrogels.
- To highlight methods for creating multi-layered and oriented structures within these hydrogels.
- To discuss the implications of these ordered structures for advanced materials science.
Main Methods:
- Review of existing literature on polysaccharide hydrogel fabrication.
- Analysis of techniques for achieving ordered structures (e.g., multi-layered, oriented).
- Discussion of the relationship between structural order and material properties.
Main Results:
- Various techniques exist for creating ordered hierarchical structures in polysaccharide hydrogels.
- Multi-layered and oriented structures are key forms of hierarchical organization.
- These ordered structures lead to improved material properties.
Conclusions:
- Ordered hierarchical structures are crucial for unlocking the full potential of polysaccharide hydrogels.
- Advanced fabrication techniques enable precise control over hydrogel architecture.
- Polysaccharide hydrogels with designed hierarchical structures show great promise for future materials science innovations.
Related Concept Videos
01:26Biosynthesis of Polysaccharides
640
Polysaccharides such as glycogen and starch are synthesized from nucleoside diphosphate sugars, primarily uridine diphosphate glucose (UDPG) and adenosine diphosphate glucose (ADPG). These activated glucose donors act as key intermediates in carbohydrate metabolism and biosynthesis. UDPG primarily involves glycogen synthesis in animals and many bacteria, while ADPG plays a fundamental role in starch synthesis in plants and certain bacteria.UDPG is formed when glucose-1-phosphate reacts with...
640
01:10Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
01:13Review and Preview
11.3K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.3K
01:15Cellulose and Pectic Polysaccharides
4.9K
Every plant cell has a cell wall that protects the cell, provides structural support, and gives the cell shape. Cellulose, the main structural component of the plant cell wall, makes up over 30% of plant matter. It is the most abundant organic compound on earth. Cellulose is an unbranched polysaccharide composed of linear chains of glucose molecules linked by β (1→4) glycosidic bonds.
As a cell matures, its cell wall specializes according to its type. For example, the...
As a cell matures, its cell wall specializes according to its type. For example, the...
4.9K
01:15Construction of Root Locus
418
The construction of a root locus involves several key steps to analyze and visualize the behavior of a system's poles with varying gain. The number of branches in the root locus equals the number of closed-loop poles and is symmetrical about the real axis.
For positive gain values, the root locus exists on the real axis to the left of an odd number of finite open-loop poles or zeros. The root locus starts at the open-loop poles and traces the paths of the closed-loop poles as the gain...
For positive gain values, the root locus exists on the real axis to the left of an odd number of finite open-loop poles or zeros. The root locus starts at the open-loop poles and traces the paths of the closed-loop poles as the gain...
418
01:15Construction of Frequency Distribution
12.8K
A frequency distribution table can be constructed using the steps given below.
First, make a table with two columns—one with the title of the data that needs to be organized, and the other column for frequency. [Draw a third column for tally marks if needed]. Then, take a look at the items given in the data set and decide if an ungrouped frequency distribution table or a grouped frequency distribution table would be more suitable. If there are large sets of different values, then it is...
First, make a table with two columns—one with the title of the data that needs to be organized, and the other column for frequency. [Draw a third column for tally marks if needed]. Then, take a look at the items given in the data set and decide if an ungrouped frequency distribution table or a grouped frequency distribution table would be more suitable. If there are large sets of different values, then it is...
12.8K