Application of Characteristic Wavelength Variable Application of NIR Spectroscopy Based on Swarm Intelligence Optimization Algorithms and SPA in Fast Detecting of Blending Pear Juice
WANG Wu1, 2,WANG Jian-ming1, 2,LI Ying3,LI Yu-rong1, 2
1. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China
2. Fujian Key Lab of Medical Instrument and Pharmaceutical Technology, Fuzhou 350002, China
3. College of Biological Science and Engineering, Fuzhou University, Fuzhou 350116, China
Abstract:In order to rapidly determine the content of raw juice in blending pear juice by near-infrared spectroscopy (NIR), experiments using the same soluble solids content of fresh pear juice and juice powder were conducted. Four common swarm intelligence optimization algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Glowworm Swarm Optimization (GSO) and Firefly Algorithm (FA), were combined with PLS to select wavelength variables. The results showed that the four kinds of models could remove most of the wavelength variables, and the FA-PLS model achieved the optimal performance, which simplified the model and improved the accuracy of prediction. Then, the successive projections algorithm (SPA) was used to select wavelength variables after Firefly Algorithm (FA). The results indicated the generalization ability were as follow: FA-PLS>PLS> FA-SPA-PLS>SPA-PLS. The root mean square errors of prediction (RMSEP) was 0.029 1, 0.033 3, 0.033 9, 0.137 0, respectively, and the corresponding wavelength variables number were 367, 765, 20, 18. The wavelength variables of SPA-PLS model were the least, but RMSEP was much higher than the other three models. Considering the prediction precision and the number of wavelength variables, the FA-SPA-PLS model was validly improved with less wavelength variables and higher prediction accuracy. This study provides a convenient way for rapid identification of blending fruit juice using NIR.
王 武,王建明,李 颖,李玉榕. 近红外特征波长筛选在勾兑梨汁中原汁含量的快速检测中的应用[J]. 光谱学与光谱分析, 2017, 37(10): 3058-3062.
WANG Wu,WANG Jian-ming,LI Ying,LI Yu-rong. Application of Characteristic Wavelength Variable Application of NIR Spectroscopy Based on Swarm Intelligence Optimization Algorithms and SPA in Fast Detecting of Blending Pear Juice. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(10): 3058-3062.
[1] JI Shu-juan,LI Dong-hua(纪淑娟, 李东华). Food Science(食品科学),2008,29(10): 512.
[2] GU Ru-xiang,ZHAO Wu-qi,SHI Ke-xin,et al(谷如祥, 赵武奇, 石珂心,等). Science and Technology of Food Industry(食品工业科技),2013,34(20): 75.
[3] SUN Ping-ping,WANG Wen-hui(孙平平,王文辉). China Fruits(中国果树),2016,(3): 94.
[4] Min M, Lee W S. Transactions of the ASAE, 2005, 48(2): 455.
[5] Wu D, He Y, Feng S. Analytica Chimica Acta, 2008, 610(2): 232.
[6] SHI Ji-yong,ZOU Xiao-bo,WANG Kai-liang,et al(石吉勇,邹小波,王开亮). Food Science(食品科学),2011, 32(10): 120.
[7] YANG Ai-xia,DING Jian-li,LI Yan-hong,et al(杨爱霞,丁建丽,李艳红,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2016,36(3):691.
[8] ZHOU Yong-quan,HUANG Zheng-xin(周永权,黄正新). Control and Decision(控制与决策),2012,27(12):1816.
[9] Goodarzi M, dos Santos Coelho L. Analytica Chimica Acta,2014,852: 20.
[10] CHEN Bin,MENG Xiang-long,WANG Hao(陈 斌,孟祥龙,王 豪). Journal of Instrumental Analysis(分析测试学报),2007,26(1):1004.