Reliable origin identification of Scutellaria baicalensis based on terahertz time-domain spectroscopy and pattern recognition

Abstract An effective approach for identification of the origin of Scutellaria baicalensis, an essential member of the family of Chinese herbal medicine and known to be an effective anti-inflammatory, is proposed based on terahertz time-domain spectroscopy (THz-TDS) and pattern recognition. Terahertz absorption spectra of Scutellaria baicalensis collected from its main growth areas in China, including Inner Mongolia, Shanxi and Shaanxi are investigated using the proposed method, in the frequency range from 0.2 to 1.7 THz. To reduce the dimensionality of the original spectral data and extract useful features of the data, principal component analysis is employed. The matrix of the selected principal component scores is fed into a classification model established by support vector machines. We use the particle swarm optimization to optimize the parameters of the classification model to achieve an identification rate of 95.56% for the samples, demonstrating that terahertz time-domain spectroscopy combined with particle swarm-support vector machines approach can be efficiently utilized for automatic identification of the origin of Scutellaria baicalensis.

[1]  G. Nychas,et al.  Rapid Assessment of the Microbiological Quality of Pasteurized Vanilla Cream by Means of Fourier Transform Infrared Spectroscopy in Tandem with Support Vector Machine Analysis , 2018, Food Analytical Methods.

[2]  M. Tani,et al.  A direct comparison between terahertz time-domain spectroscopy and far-infrared Fourier transform spectroscopy , 2001 .

[3]  Mingliang Li,et al.  Accurate Determination of Geographical Origin of Tea Based on Terahertz Spectroscopy , 2017 .

[4]  Liangping Xia,et al.  Distinguishing Different Cancerous Human Cells by Raman Spectroscopy Based on Discriminant Analysis Methods , 2017 .

[5]  Gyeongsik Ok,et al.  Qualitative identification of food materials by complex refractive index mapping in the terahertz range. , 2018, Food chemistry.

[6]  Asifullah Khan,et al.  Optical screening of nasopharyngeal cancer using Raman spectroscopy and support vector machine , 2018 .

[7]  Ming-de Liu,et al.  [The Identification of the Origin of Chinese Wolfberry Based on Infrared Spectral Technology and the Artificial Neural Network]. , 2016, Guang pu xue yu guang pu fen xi = Guang pu.

[8]  Wen-Tao Liu,et al.  [Fuzzy recognition research on explosive and illegal drug based on terahertz spectroscopy detection]. , 2010, Guang pu xue yu guang pu fen xi = Guang pu.

[9]  Robert E. Miles,et al.  Terahertz Time-Domain Spectroscopy for Material Characterization , 2007, Proceedings of the IEEE.

[10]  Wei-ning Wang,et al.  [Chinese traditional medicine recognition by support vector machine (SVM) terahertz spectrum]. , 2009, Guang pu xue yu guang pu fen xi = Guang pu.

[11]  Richard Baraniuk,et al.  Material parameter estimation with terahertz time-domain spectroscopy. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.

[12]  Dibo Hou,et al.  Terahertz spectroscopic investigation of L-glutamic acid and L-tyrosine , 2007 .

[13]  Puren R. Ouyang,et al.  Comparative study of GA, PSO, and DE for tuning position domain PID controller , 2014, 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014).

[14]  Chen Xi-Ai,et al.  Classification of the green tea varieties based on Support Vector Machines using Terahertz spectroscopy , 2011, 2011 IEEE International Instrumentation and Measurement Technology Conference.

[15]  Kai-Erik Peiponen,et al.  Fast and non-destructive pore structure analysis using terahertz time-domain spectroscopy. , 2018, International journal of pharmaceutics.

[16]  Traian Dascalu,et al.  Transmission THz time domain system for biomolecules spectroscopy , 2010 .

[17]  Wei Li,et al.  Nondestructive Evaluation of Carbon Fiber Reinforced Polymer Composites Using Reflective Terahertz Imaging , 2016, Sensors.

[18]  Qiang Wang,et al.  PLS model investigation of thiabendazole based on THz spectrum , 2013 .

[19]  Yaochun Shen,et al.  Terahertz spectroscopy of explosive materials , 2004, SPIE Security + Defence.

[20]  Zhuoyong Zhang,et al.  THz-TDS combined with a fuzzy rule-building expert system applied to the identification of official rhubarb samples , 2014 .

[21]  Zhi Li,et al.  Identification of biomolecules by terahertz spectroscopy and fuzzy pattern recognition. , 2013, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[22]  B. Peng,et al.  Quantitative analysis of terahertz spectra for illicit drugs using adaptive-range micro-genetic algorithm , 2011 .

[23]  Sudip Kumar Naskar,et al.  An approach to optimize FIR filter coefficients using GA, PSO and BAT algorithm and their comparative analysis , 2016, 2016 International Conference on Computer, Electrical & Communication Engineering (ICCECE).

[24]  J. Coutaz,et al.  A reliable method for extraction of material parameters in terahertz time-domain spectroscopy , 1996 .

[25]  Yuhong Xiang,et al.  Application of terahertz time-domain spectroscopy combined with chemometrics to quantitative analysis of imidacloprid in rice samples , 2015 .

[26]  Chang Wook Ahn,et al.  A genetic algorithm for shortest path routing problem and the sizing of populations , 2002, IEEE Trans. Evol. Comput..

[27]  Soohyun Kim,et al.  Compound Explosives Detection and Component Analysis via Terahertz Time-Domain Spectroscopy , 2013 .

[28]  Weiwei Li,et al.  Identification of chemical materials using reference-free terahertz transmission spectroscopy and artificial neural networks , 2009, International Conference on Optical Instruments and Technology.

[29]  F. Kiuchi,et al.  Synergistic effect of baicalein, wogonin and oroxylin A mixture: multistep inhibition of the NF-κB signalling pathway contributes to an anti-inflammatory effect of Scutellaria root flavonoids , 2017, Journal of Natural Medicines.