Classification of Amino Acids Using Hybrid Terahertz Spectrum and an Efficient Channel Attention Convolutional Neural Network
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Quenda Terahertz Technologies, Ltd., 600 Jiushui E Rd., Qingdao 266102, China
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School of Space Science and Physics, Shandong University, 180 Wenhua W Rd., Weihai 264209, China
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College of Engineering Physics, Shenzhen Technology University, 3002 Lantian Rd., Shenzhen 518060, China
4
Institute of Fluid Physics, 64 Mianshan Rd., Mianyang 621900, China
*
Author to whom correspondence should be addressed.
Academic Editors: Filippo Giannazzo and Mircea Dragoman
Nanomaterials 2022, 12(12), 2114; https://doi.org/10.3390/nano12122114
Received: 10 May 2022
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Revised: 16 June 2022
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Accepted: 17 June 2022
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Published: 20 June 2022
(This article belongs to the Special Issue Intelligent Nanomaterials and Nanosystems)
Terahertz (THz) spectroscopy is the de facto method to study the vibration modes and rotational energy levels of molecules and is a widely used molecular sensor for non-destructive inspection. Here, based on the THz spectra of 20 amino acids, a method that extracts high-dimensional features from a hybrid spectrum combined with absorption rate and refractive index is proposed. A convolutional neural network (CNN) calibrated by efficient channel attention (ECA) is designed to learn from the high-dimensional features and make classifications. The proposed method achieves an accuracy of
Keywords:
terahertz spectroscopy; CNN; ECA; amino acid; sensor
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MDPI and ACS Style
Wang, B.; Qin, X.; Meng, K.; Zhu, L.; Li, Z. Classification of Amino Acids Using Hybrid Terahertz Spectrum and an Efficient Channel Attention Convolutional Neural Network. Nanomaterials 2022, 12, 2114. https://doi.org/10.3390/nano12122114
AMA Style
Wang B, Qin X, Meng K, Zhu L, Li Z. Classification of Amino Acids Using Hybrid Terahertz Spectrum and an Efficient Channel Attention Convolutional Neural Network. Nanomaterials. 2022; 12(12):2114. https://doi.org/10.3390/nano12122114
Chicago/Turabian StyleWang, Bo, Xiaoling Qin, Kun Meng, Liguo Zhu, and Zeren Li. 2022. "Classification of Amino Acids Using Hybrid Terahertz Spectrum and an Efficient Channel Attention Convolutional Neural Network" Nanomaterials 12, no. 12: 2114. https://doi.org/10.3390/nano12122114
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