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Diffuse Reflectance Infrared Spectroscopic Identification of Dispersant/Particle Bonding Mechanisms in Functional Inks

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Published on: May 8, 2015

[Injection by near infrared diffuse reflectance spectroscopy].

Yan Song¹, Yun-Fei Xie, Yong Zhang

¹State Key Laboratory of Supramolecular Structure and Materials, Jilin University, Changchun 130012, China.

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu

|December 30, 2009

Summary

This summary is machine-generated.

Near infrared (NIR) spectroscopy quantitatively analyzed levofloxacin hydrochloride injections. Partial least squares (PLS) models demonstrated superior precision and stability over artificial neural network (ANN) models for rapid, non-destructive analysis.

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Area of Science:

Analytical Chemistry
Spectroscopy
Pharmaceutical Analysis

Background:

Levofloxacin hydrochloride is a widely used antibiotic.
Accurate and rapid quantification of pharmaceutical injections is crucial for quality control.
Near-infrared (NIR) spectroscopy offers a non-destructive method for chemical analysis.

Purpose of the Study:

To establish and compare quantitative models for levofloxacin hydrochloride injection using NIR spectroscopy.
To evaluate the performance of Partial Least Squares (PLS) and Artificial Neural Network (ANN) methodologies.
To determine the most suitable method for rapid and non-destructive quantitative analysis.

Main Methods:

Quantitative analysis of 47 levofloxacin hydrochloride injection samples using NIR spectroscopy.
Development of quantitative models using Partial Least Squares (PLS) and Artificial Neural Network (ANN) techniques.
Application of wavelet transformation for spectral variable compression in the ANN model.

Main Results:

The PLS model achieved a coefficient of determination (R2) of 0.964 and a root mean squared error of prediction (RMSEP) of 0.2428.
The ANN model, after wavelet transformation, yielded an R2 of 0.944 and an RMSEP of 0.5722.
Comparative analysis indicated the PLS model exhibited greater stability and precision.

Conclusions:

Partial Least Squares (PLS) regression provides a more steady and precise method for quantitative analysis of levofloxacin hydrochloride injections compared to the ANN model.
NIR spectroscopy combined with PLS offers a rapid, non-destructive, and effective approach for pharmaceutical quality control.
This research provides a scientific basis for the application of NIR spectroscopy in levofloxacin hydrochloride injection analysis.