Series-2 (Mar. – Apr. 2025)Mar. – Apr. 2025 Issue Statistics
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| Paper Type | : | Research Paper |
| Title | : | Overall and Local Optimization: A Multi-Substance Identification Algorithm Based on Fourier Transform Infrared Spectroscopy |
| Country | : | China |
| Authors | : | PENG Yajin || YU Bo || SUI Feng || YAO Zhiwen || ZHOU Zhiming |
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: | 10.9790/0661-2102020110  |
Abstract : This paper proposes a multi-substance identification and analysis algorithm based on Fourier Transform Infrared (FTIR) spectroscopy. The algorithm begins with baseline correction and data length normalization of the FTIR spectra. From the perspective of overall optimization, the mixture data is analyzed using the non-negative least squares algorithm to identify potential substances in the database. Subsequently, key features such as the maximum values of spectral peaks, peak widths, and the left and right minimum values are extracted to construct a feature.......
Keywords: Fourier Transform Infrared Spectroscopy; Multi-Substance Mixture; Qualitative Analysis; Overall Optimization; Local Optimization
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