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Particles Size Estimation of Polydopamine Based Polymeric Nanoparticles Using Near-Infrared Spectroscopy Combined with Linear Regression Method
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作者 Nahla Rahoui Mohammad Hegazy +2 位作者 Bo Jiang nadia taloub Yu Dong Huang 《American Journal of Analytical Chemistry》 2018年第5期273-285,共13页
The particle size is considered as a fundamental property of nanoparticles used for cargo delivery (CDS) purpose. The objective of this study was the particles size quantification of polydopamine nanoparticles (PDANS)... The particle size is considered as a fundamental property of nanoparticles used for cargo delivery (CDS) purpose. The objective of this study was the particles size quantification of polydopamine nanoparticles (PDANS) via the near infrared spectroscopy (NIRS) combined with chemometrics tools. The successful synthesis of PDANS was proved using several characterization methods. Compared with the model extracted using raw spectral data, the accuracy and stability of the new model extracted from pre-processed data were significantly improved. The PDANS particle size samples have been predicted with acceptable accuracy. The correlation (R2) between NIRS and the TEM granulometrie data was 99.81%, while the root mean square error of calibration RMSEC was 0.196 nm. This research shows that NIRS combined with a regression method is a viable tool for the quality determination of CD system. 展开更多
关键词 NEAR INFRARED SPECTROSCOPY PARTICLE SIZE Effect Nanoparticles Linear Regression
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