Abstract:In order to enhance the efficiency and safety of manure resource utilization, a rapid quantitative analysis of calcuim (Ca) content in manure is of great significance. In the presented study, the application of laser-induced breakdown spectroscopy (LIBS) technique was used to quantitatively analyze Ca content in manure. Genetic algorithm (GA) was also applied to the LIBS to optimize the model. The dominant factors of LIBS were set: 80 collection dots with 15% laser energy, 400 μm spot size, delay time of 1.0 μs, and preforming pressure at 20 tons (T).The modeling results showed that the initial linear model constructed from the characteristic wavebands of Ca presented low precision and accuracy, partial least squares (PLS) models with wavebands at 190~950 nm exhibited the effects with coefficient of determination for the validation set (R2v) and relative prediction deviation (RPD) of 0.85 and 2.13, respectively. The PLS model considered 12 variables, which were selected with GA in the waveband at 190~950 nm, and presented the R2v and RPD of 0.90 and 3.04, respectively. They had presented relatively better results by avoiding complicated sample processing. It is pertinent to note that the efficiency of this method increased by a large margin when the variables were selected based on GA analysis. The results showed that LIBS combined with GA can be used for quantitative analysis of Ca in manure.
马双双,马秋林,韩鲁佳,黄光群. 基于LIBS和遗传算法的畜禽粪便中钙含量研究[J]. 光谱学与光谱分析, 2017, 37(05): 1530-1534.
MA Shuang-shuang, MA Qiu-lin, HAN Lu-jia, HUANG Guang-qun. Modelling of Calcuim Content in Manure Using Laser-Induced Breakdown Spectroscopy and Genetic Algorithm Combined with Partial Least Squares. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(05): 1530-1534.
[1] LIN Yuan,MA Ji,QIN Fu (林 源,马 骥,秦 富). Chinese Agricultural Science Bulletin (中国农学通报),2012,28(32): 1.
[2] LI Wen-zhe,XU Ming-han,LI Jing-yu(李文哲,徐名汉,李晶宇). Transactions of the Chinese Society of Agricultural Machinery (农业机械学报),2013,44 (5): 135.
[3] Kaiser J, Novotny K, Martin M Z, et al. Surface Science Reports, 2012, 67(11-12): 233.
[4] Santos D, Nunes L C, de Carvalho G G A, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2012, 71-72: 3.
[5] Harmon R S, Russo R E, Hark R R. Spectrochimica Acta Part B: Atomic Spectroscopy, 2013, 87: 11.
[6] Andersen M S, Frydenvang J, Henckel P, et al. Food Control, 2016, 64: 226.
[7] Gondal M A, Habibullah Y B, Baig U, et al. Talanta, 2016, 152: 341.
[8] Leardi R, Gonzalez A L. Chemometrics and Intelligent Laboratory Systems, 1998, 41(2): 195.
[9] Fink H, Panne U, Niessner R. Analytical Chemistry, 2002, 74(17): 4334.
[10] ZOU Xiao-heng,HAO Zhong-qi,YI Rong-xing,et al(邹孝恒,郝中骐,易荣兴,等). Analytical Chemistry (分析化学),2015,43(2): 181.
[11] Li J, Lu J, Lin Z, et al. Optics & Laser Technology, 2009, 41(8): 907.
[12] SHAO Yan,GAO Xun,DU Chuang,et al(邵 妍,高 勋,杜 闯,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2013,33(2): 531.
[13] Braga J W B, Trevizan L C, Nunes L C, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2010, 65(1): 66.
[14] Tripathi M M, Srinivasan K K, Krishnan S R, et al. Fuel, 2013, 106: 318.
[15] Andrade J M, Cristoforetti G, Legnaioli S, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2010, 65(8): 658.
[16] Malley D F, Yesmin L, Eilers R G. Soil Science Society of America Journal, 2002, 66(5): 1677.
[17] ZHU Guang-zheng,GUO Lian-bo,HAO Zhong-qi,et al(朱光正,郭连波,郝中骐,等). Acta Physica Sinica(物理学报),2015,(2): 024212.
[18] Hu Z, Richter H, Sparovek G, et al. Journal of Plant Nutrition, 2004, 27(1): 183.
[19] Geladi P, MacDougall D, Martens H. Applied Spectroscopy, 1985, 39(3): 491.