Optics and Precision Engineering, Volume. 32, Issue 20, 3006(2024)

Application of terahertz fusion spectrum combined with improved fused lasso model in identification of transgenic rapeseed oil

Tao CHEN1, Guangchong XIE1, and Shaorong ZHANG1,2、*
Author Affiliations
  • 1School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin54004, China
  • 2School of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin541004, China
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    References(27)

    [1] LI H H, LIU C Y, ZHANG H W et al. Global genetically modified crop industrialization trends in 2022[J]. Journal of Agricultural Science and Technology, 25, 6-16(2023).

         李浩辉, 刘彩月, 张海文. 2022年度全球转基因作物产业化发展现状及趋势分析[J]. 中国农业科技导报, 25, 6-16(2023).

    [2] T.Advantages USLU. s[J]. Plant Biotechnology Reports, 15, 741-751(2020).

    [3] YIN J X, XIA L P, ZOU Z Y et al. Multiplex digital polymerase chain reaction technology and its application[J]. Chinese Journal of Analytical Chemistry, 50, 25-38(2022).

    [4] WANG Y F, BEDNARCIK M, AMENT C et al. Immunoassays and mass spectrometry for determination of protein concentrations in genetically modified crops[J]. Journal of Agricultural and Food Chemistry, 72, 8879-8889(2024).

    [5] ZENG Z W, JIN S Z, LI H G et al. Terahertz spectral features detection and accuracy identification of explosives in high humidity environment[J]. Opt. Precision Eng., 31, 1065-1073(2023).

         曾子威, 金尚忠, 李宏光. 高湿度环境下爆炸物太赫兹光谱的特征提取与精准识别[J]. 光学 精密工程, 31, 1065-1073(2023).

    [6] ZHOU S L, ZHU S P, LIU G H et al. Rapid detection of transgenic soybean oils by terahertz (THz) spectroscopy[J]. Journal of Nanoelectronics and Optoelectronics, 12, 956-960(2017).

    [7] LIU J J, FAN L L, LIU Y M et al. Application of terahertz spectroscopy and chemometrics for discrimination of transgenic camellia oil[J]. Spectrochimica Acta Part A, Molecular and Biomolecular Spectroscopy, 206, 165-169(2019).

    [8] CHEN T, LI X. Application of terahertz spectroscopy in identification of transgenic rapeseed oils: a support vector machine model based on modified mayfly optimization algorithm[J]. Acta Physica Sinica, 73, 360-368(2024).

         陈涛, 李欣. 太赫兹光谱在转基因菜籽油鉴别中的应用: 基于改进蜉蝣算法的支持向量机模型[J]. 物理学报, 73, 360-368(2024).

    [9] ZHENG C Y, CAI S J, LI Q et al. A collaborative classification algorithm with multi-view terahertz spectra[J]. Results in Physics, 42, 106023(2022).

    [10] KAMRUZZAMAN M, KALITA D, AHMED M T et al. Effect of variable selection algorithms on model performance for predicting moisture content in biological materials using spectral data[J]. Analytica Chimica Acta, 1202, 339390(2022).

    [11] WEI C J, WANG J F, HE X L et al. A fast and non-destructive approach to identify the heavy mineral oil trace evidence based on spectral fusion treatment and chemometrics[J]. Microchemical Journal, 163, 105924(2021).

    [12] YANG J L, WANG Q et al. Detection of Camellia oleifera anthracnose based on THz combined with FT-NIR[J]. Infrared Physics and Technology, 133, 104833(2023).

    [13] YIN X H, CHEN H C, ZHANG H. Quantitative detection of multi-component rubber additives based on terahertz spectral data fusion[J]. Chinese Journal of Lasers, 51, 3788(2024).

         殷贤华, 陈慧聪, 张活. 基于太赫兹光谱数据融合实现多组分橡胶添加剂的定量检测[J]. 中国激光, 51, 3788(2024).

    [14] KANWAL A, MEHMOOD T, BUTT M M. PLS and kernel SVM based hybrid classifier for discriminating FTIR spectrum data with limited sample size[J]. Chemometrics and Intelligent Laboratory Systems, 215, 104365(2021).

    [15] ZHANG S R, ZHU Z B, FENG B et al. New channel selection and classification algorithm based on group sparse Bayesian logistic regression motor imagery EEG signal classification model[J]. Chinese Journal of Scientific Instrument, 40, 179-191(2019).

         张绍荣, 朱志斌, 冯宝. 基于组稀疏贝叶斯逻辑回归运动想象脑电信号分类模型的通道选择与分类新算法[J]. 仪器仪表学报, 40, 179-191(2019).

    [16] LIU J W, CUI L P, LIU Z Y et al. Survey on the regularized sparse models[J]. Chinese Journal of Computers, 38, 1307-1325(2015).

         刘建伟, 崔立鹏, 刘泽宇. 正则化稀疏模型[J]. 计算机学报, 38, 1307-1325(2015).

    [17] HESAMIAN G, JOHANNSSEN A, CHUKHROVA N. An explainable fused lasso regression model for handling high-dimensional fuzzy data[J]. Journal of Computational and Applied Mathematics, 441, 115721(2024).

    [18] CUI F X, LI D C, WU J et al. Adaptive feature extraction algorithm based on lasso method for detecting polluted gas[J]. Acta Optica Sinica, 39(2019).

         崔方晓, 李大成, 吴军. 基于Lasso方法的污染气体自适应探测算法[J]. 光学学报, 39(2019).

    [19] PRABHAVATHY T, ELUMALAI V K, BALAJI E. Hand gesture classification framework leveraging the entropy features from sEMG signals and VMD augmented multi-class SVM[J]. Expert Systems with Applications, 238, 121972(2024).

    [20] BAI L, ZHANG Z T, GUAN H H et al. Rapid and accurate quality evaluation of Angelicae Sinensis Radix based on near-infrared spectroscopy and Bayesian optimized LSTM network[J]. Talanta, 275, 126098(2024).

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    Tao CHEN, Guangchong XIE, Shaorong ZHANG. Application of terahertz fusion spectrum combined with improved fused lasso model in identification of transgenic rapeseed oil[J]. Optics and Precision Engineering, 2024, 32(20): 3006

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    Paper Information

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    Received: Jun. 16, 2024

    Accepted: --

    Published Online: Jan. 10, 2025

    The Author Email: Shaorong ZHANG (zsrong@guat.edu.cn)

    DOI:10.37188/OPE.20243220.3006

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