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Characterizing property distributions of polymeric nanogels by size-exclusion chromatography
Nanogels are highly branched, swellable polymer structures with average diameters between 1 and 100 nm. Size-exclusion chromatography (SEC) fractionates materials in this size range, and it is commonly used to measure nanogel molar mass distributions. For many nanogel applications, it may be more im...
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Published in: | Journal of Chromatography A 2007-03, Vol.1146 (1), p.51-60 |
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container_title | Journal of Chromatography A |
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creator | Mourey, Thomas H. Leon, Jeffrey W. Bennett, James R. Bryan, Trevor G. Slater, Lisa A. Balke, Stephen T. |
description | Nanogels are highly branched, swellable polymer structures with average diameters between 1 and 100
nm. Size-exclusion chromatography (SEC) fractionates materials in this size range, and it is commonly used to measure nanogel molar mass distributions. For many nanogel applications, it may be more important to calculate the particle size distribution from the SEC data than it is to calculate the molar mass distribution. Other useful nanogel property distributions include particle shape, area, and volume, as well as polymer volume fraction per particle. All can be obtained from multi-detector SEC data with proper calibration and data analysis methods. This work develops the basic equations for calculating several of these differential and cumulative property distributions and applies them to SEC data from the analysis of polymeric nanogels. The methods are analogous to those used to calculate the more familiar SEC molar mass distributions. Calibration methods and characteristics of the distributions are discussed, and the effects of detector noise and mismatched concentration and molar mass sensitive detector signals are examined. |
doi_str_mv | 10.1016/j.chroma.2007.01.116 |
format | article |
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nm. Size-exclusion chromatography (SEC) fractionates materials in this size range, and it is commonly used to measure nanogel molar mass distributions. For many nanogel applications, it may be more important to calculate the particle size distribution from the SEC data than it is to calculate the molar mass distribution. Other useful nanogel property distributions include particle shape, area, and volume, as well as polymer volume fraction per particle. All can be obtained from multi-detector SEC data with proper calibration and data analysis methods. This work develops the basic equations for calculating several of these differential and cumulative property distributions and applies them to SEC data from the analysis of polymeric nanogels. The methods are analogous to those used to calculate the more familiar SEC molar mass distributions. Calibration methods and characteristics of the distributions are discussed, and the effects of detector noise and mismatched concentration and molar mass sensitive detector signals are examined.</description><subject>Algorithms</subject><subject>Analytical chemistry</subject><subject>Applied sciences</subject><subject>Calibration</subject><subject>Chemistry</subject><subject>Chromatographic methods and physical methods associated with chromatography</subject><subject>Chromatography, Gel - methods</subject><subject>Distribution</subject><subject>Exact sciences and technology</subject><subject>Nanogel</subject><subject>Organic polymers</subject><subject>Other chromatographic methods</subject><subject>Particle size</subject><subject>Physicochemistry of polymers</subject><subject>Polyethylene Glycols - analysis</subject><subject>Polyethylene Glycols - chemistry</subject><subject>Polyethyleneimine - analysis</subject><subject>Polyethyleneimine - chemistry</subject><subject>Properties and characterization</subject><subject>Property</subject><subject>Reproducibility of Results</subject><subject>Size-exclusion</subject><subject>Structure, morphology and analysis</subject><issn>0021-9673</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNp90E1v1DAQBmAfQLQU_gFCucAt6Uw-7QsSWhWoVIkL3JAs2xnvepXEwU4Q6a_HVVbqjdNcnhm98zL2DqFAwPb2XJhT8KMqSoCuACwQ2xfsGqDEXLRddcVex3gGwA668hW7wq6CDkV1zX4dTioos1Bwj246ZnPwM4Vly3oXl-D0ujg_xczbbPbDNiZmsklN_khDzPSWRfdIOf01wxoTzPYYiz8GNZ-2N-ylVUOkt5d5w35-uftx-JY_fP96f_j8kJtKwJLzCnQJvBLaNH3VCKg7oW1vkVNPgI3qbSOamngNWhvb1oZbbFHUnBpsdFvdsI_73ZT-90pxkaOLhoZBTeTXKDsoa94iT7DeoQk-xkBWzsGNKmwSQT41Kc9yf0E-NSkBZWoyrb2_3F_1SP3z0qXGBD5cgIpGDTaoybj47HgLSYrkPu0utUd_HAUZjaPJUO8CmUX23v0_yT9GB5fJ</recordid><startdate>20070330</startdate><enddate>20070330</enddate><creator>Mourey, Thomas H.</creator><creator>Leon, Jeffrey W.</creator><creator>Bennett, James R.</creator><creator>Bryan, Trevor G.</creator><creator>Slater, Lisa A.</creator><creator>Balke, Stephen T.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20070330</creationdate><title>Characterizing property distributions of polymeric nanogels by size-exclusion chromatography</title><author>Mourey, Thomas H. ; 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subjects | Algorithms Analytical chemistry Applied sciences Calibration Chemistry Chromatographic methods and physical methods associated with chromatography Chromatography, Gel - methods Distribution Exact sciences and technology Nanogel Organic polymers Other chromatographic methods Particle size Physicochemistry of polymers Polyethylene Glycols - analysis Polyethylene Glycols - chemistry Polyethyleneimine - analysis Polyethyleneimine - chemistry Properties and characterization Property Reproducibility of Results Size-exclusion Structure, morphology and analysis |
title | Characterizing property distributions of polymeric nanogels by size-exclusion chromatography |
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