Full TGIF Record # 62541
Item 1 of 1
Author(s):Bicerano, Jozef
Author Affiliation:Computing and Information Technology Laboratory, Dow Chemical Company, Midland, Michigan
Title:Predicting key polymer properties to reduce erosion in irrigated soil
Source:Soil Science. Vol. 158, No. 4, October 1994, p. 255-266.
Publishing Information:Baltimore, MD: Williams and Wilkins Company
# of Pages:12
Keywords:TIC Keywords: Polymers; Erosion control; Irrigation water; Characteristics; Models; Polyacrylamides; Biodegradation; Solubility; Absorption
Abstract/Contents:"The ability to understand and/or predict the physical properties of polymers is important in efforts to help reduce erosion in irrigated land by treating irrigation water with minute amounts of certain polymers. The key properties of polymers for this application (water solubility and water absorption capability, dilute solution properties, and stability) are discussed. Methods used to predict the properties of polymers include quantitative structure-property relationships, statistical mechanical theories, atomistic simulations, and quantum mechanical calculations. Each general method is best applied to different types of problems. For example, combination of quantum mechanical calculations and atomistic simulations may shed light on the solution conformation of a polymer and hence on its soil acidity. On the other hand, a new method, based mainly on topological descriptors called connectivity indices, predicts key polymer physical properties very rapidly from the structures of polymeric repeat units via empirical and semi-empirical quantitative structure-property relationships. This new method can be used for the overall evaluation of the potential of candidate polymers for erosion reduction. Applications of this method to polyacrylamide and structural variants and copolymers are discussed. An outlook is provided for the future of applications of computational chemistry to water-soluble polymers. It is suggested that significant future advances can be expected from further developments of each of the different types of theoretical methods, as well as from their more synergistic and interdisciplinary utilization."
Language:English
References:24
Note:Figures
Graphs
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Bicerano, J. 1994. Predicting key polymer properties to reduce erosion in irrigated soil. Soil Science. 158(4):p. 255-266.
Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=62541
If there are problems with this record, send us feedback about record 62541.
Choices for finding the above item:
Find Item @ MSU
MSU catalog number: S 590 .S66
Request through your local library's inter-library loan service (bring or send a copy of this TGIF record)