Particles Size Estimation of Polydopamine Based Polymeric Nanoparticles Using Near-Infrared Spectroscopy Combined with Linear Regression Method

Nahla Rahoui,Bo Jiang,Mohammad Hegazy,Yu Dong Huang,Nadia Taloub

doi:10.4236/ajac.2018.95021

Abstract

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.

Highlights

IR spectroscopy plays an important role for evaluation of drug quality in industrial and research process especially for organic ingredient with abundant CH, OH, SH, or NH groups
Before you begin to format your paper, first write and save the content as a 12 samples of the PDA based polymeric nanoparticles were synthesized by neutralization of dopamine hydrochloride with NaOH and spontaneous autoxidation in air, which leads to a gradual formation of dark brown solution
Our paper introduces near infrared spectroscopy (NIRS) combined with chemometrics as tool for analysis of several physio-chemical properties of designed DDS based on polydopamine nanoparticles at different particles size

Summary

Introduction

IR spectroscopy plays an important role for evaluation of drug quality in industrial and research process especially for organic ingredient with abundant CH, OH, SH, or NH groups. The sensitivity of NIRS spectral signals to any physical factors including particle size, the crystallinity ratio, solid surface roughness, coating thickness, temperature [1] [3] [4] [5] [6] [7] and chemical parameters such as analytes ratio, moisture ratio [8], concentrations and chemical composition; the ingredient distribution [9] could be of great interest in order to understand and evaluate new designed DDS. The drug substrate design and a precise investigation of the physiochemical properties including particle size are primordial for understanding of the possibility of DDS leakage by enhanced Plasmon Resonance effect (EPR) [12] [13], besides it capacity of drug loading in case of chemotherapy or photothermal or photodynamic effect in case of other physical therapeutic modalities [10]

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