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[Software package for self-constructed CCD-ICP-OES. 2. Algorithm bases for the softwares].

J He¹, Z Liu, H Su

¹Department of Chemistry, Zhongshan University, 510275 Guangzhou.

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu

|April 13, 2005

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This study details algorithms for data processing in a self-constructed Charge-Coupled Device-Inductively Coupled Plasma-Optical Emission Spectrometry (CCD-ICP-OES) instrument. It covers smoothing, spectrum stripping, and artificial neural network methods for enhanced analytical performance.

Area of Science:

Analytical Chemistry
Spectroscopy
Instrumental Analysis

Context:

Development of a novel Charge-Coupled Device-Inductively Coupled Plasma-Optical Emission Spectrometry (CCD-ICP-OES) system.
Need for robust data processing algorithms to handle complex spectral data.

Purpose:

To describe the foundational algorithms employed in a custom-built CCD-ICP-OES instrument.
To detail methods for signal processing and data analysis.

Summary:

Explains the algorithmic basis for Savitzky-Golay smoothing, spectrum stripping, and Kalman filtering.
Details the application of artificial neural network programs for data analysis within the CCD-ICP-OES system.

Impact:

Enables improved accuracy and reliability of elemental analysis using CCD-ICP-OES.

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Provides a methodological framework for researchers developing similar spectroscopic instruments.

Facilitates advanced data interpretation in optical emission spectrometry.