猪饲料中Cu元素的双脉冲激光诱导击穿光谱检测技术研究
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摘要
对猪饲料中Cu元素的双脉冲激光诱导击穿光谱(LIBS)检测技术进行了研究。结合正交实验设计对饲料样品中Cu元素进行了LIBS实验参数优化。根据正交实验的直观分析法中的指标之和得出最佳实验参数条件为:激光A能量157.77 m J,激光B能量196.87 m J,激光延迟时间450 ns,采集延时1.28μs。基于偏最小二乘(PLS),比较了不同点数平滑处理和各种预处理方法对PLS模型预测效果的影响。最后得出,结合9点平滑预处理能有效降低噪声信号,能够提高PLS模型分析LIBS光谱数据的准确性,模型预测结果:相关系数r,预测均方差RMSEP,平均相对误差ARE分别为0.9879、15.10、8.24%。
Double pulse laser-induced breakdown spectroscopy( LIBS) technique for the determination of Cu in pig feed was studied in this paper.Combined with orthogonal design,parameters optimization of Cu in pig feed samples,LIBS test was carried out.According to the sum of the indexes in the visual analysis of the orthogonal experiment,the best experimental parameters were obtained.The laser energy of A was 157.77 m J and B was 196.87 m J.And the delay time of laser was 450 ns and gathering was 1.28 μs.Based on partial least squares( PLS),the influence of different points smoothing and various pretreatment methods to the PLS model prediction effect were compared.Finally,the combination of 9 point smoothing pretreatment could effectively reduce the noise signal.It could improve the accuracy of PLS model for analyzing LIBS spectral data.Model predictions were as follows: correlation coefficient( r),root mean square error of prediction( RMSEP) and average relative error( ARE) were0.9879,15.10,8.24%,respectively.
Double pulse laser-induced breakdown spectroscopy( LIBS) technique for the determination of Cu in pig feed was studied in this paper.Combined with orthogonal design,parameters optimization of Cu in pig feed samples,LIBS test was carried out.According to the sum of the indexes in the visual analysis of the orthogonal experiment,the best experimental parameters were obtained.The laser energy of A was 157.77 m J and B was 196.87 m J.And the delay time of laser was 450 ns and gathering was 1.28 μs.Based on partial least squares( PLS),the influence of different points smoothing and various pretreatment methods to the PLS model prediction effect were compared.Finally,the combination of 9 point smoothing pretreatment could effectively reduce the noise signal.It could improve the accuracy of PLS model for analyzing LIBS spectral data.Model predictions were as follows: correlation coefficient( r),root mean square error of prediction( RMSEP) and average relative error( ARE) were0.9879,15.10,8.24%,respectively.
引文
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[20]刘珊珊,林思寒,张俊,等.单脉冲激光诱导击穿光谱定量分析猪饲料中铜元素含量[J].激光与光电子学进展,2017,54(5):330-338.
[21]张道中,刘元英.猪的饲养常识——猪饲料及饲料配方浅说[J].今日养猪业,2014(11):44-48.
[22]胡慧琴,徐雪红,刘木华,等.激光诱导击穿光谱结合偏最小二乘法直接检测皮蛋壳中的Cu含量[J].光谱学与光谱分析,2015,35(12):3500-3504.
[23]黎文兵,药林桃,刘木华,等.光谱预处理对LIBS检测脐橙中Cu的偏最小二乘定量模型影响[J].光谱学与光谱分析,2015,35(5):1392-1397.
[2]赛庆燕.论高铜饲料对畜禽生长的利和弊[J].山东畜牧兽医,2010(12):21.
[3]王玉,方守千,薛强,等.在猪饲料中如何合理使用铜[J].黑龙江畜牧兽医,2007(6):112.
[4]陈娟,朱荣生,王怀中,等.高铜猪粪对生态环境影响的研究进展[J].当代畜牧,2016(4):65-66.
[5]蔺翠翠,周艳明.铜在畜产品中的安全性评价[J].食品工业科技,2011(1):258-261.
[6]梁兆斌,韦衢.微波消解一原子吸收法测定饲料中Pb Cd Cu Zn含量[J].畜牧兽医科技信息,2015(9):32-34.
[7]张小琴,陆小凤.微波消解样品-火焰原子吸收光谱法测定饲料中的微量元素铁,铜,锰,锌[J].当代畜禽养殖业,2014(4):3-5.
[8]廖峰,李云.分光光度法测定饲料添加剂中的铜含量[J].四川畜牧兽医,2001,28(3):19-20.
[9]叶少媚,李浩洋,陈海莹,等.电感耦合等离子体发射光谱法测定配合饲料中钙,铜,铁,镁,锰,钾,钠和锌含量的方法研究[J].粮食与饲料工业,2015,10(17):62-64.
[10]许萍,陈铭学,牟仁祥,等.ICP-MS混合模式测定植物性农产品中的9种痕量元素[J].分析测试学报,2011,30(10):1138-1142.
[11]王卿,谭娟,吴健,等.激光诱导击穿光谱技术在环境领域中的应用动态[J].中国环境监测,2015(3):2
[12]Gondal MA,Shemis MA,Gondal B,et al.Gallbladder stones analysis using pulsed UV laser induced breakdown spectroscopy[J].J Med Bioeng,2016,5(2):85-88.
[13]Aguirre M A,Selva E J,Hidalgo M,et al.Dispersive liquidliquid microextraction for metals enrichment:A useful strategy for improving sensitivity of laser-induced breakdown spectroscopy in liquid samples analysis[J].Talanta,2015,131:348-353.
[14]Senesi G S,Senesi N.Laser-induced breakdown spectroscopy(LIBS)to measure quantitatively soil carbon with emphasis on soil organic carbon.A review[J].Analytica Chimica Acta,2016,938:7-17.
[15]Arab M,Bidin N,Chaudhary K,et al.Characterization of pollution indices in soil surrounding a power plant by laser induced breakdown spectroscopy[J].Analytical Letters,2015,48(2):360-370.
[16]王彩虹,黄林,胡淑芬,等.脐橙果皮LIBS光谱预测Cu元素在果肉中分布规律的可行性分析[J].分析实验室,2016,35(3):253-257.
[17]陈钰琦,磨俊宇,周奇,等.银饰品中铜杂质含量的激光剥离-激光诱导击穿光谱定量分析[J].光谱学与光谱分析,2015,35(3):782-785.
[18]王惠文,刘强.偏最小二乘回归模型内涵分析方法研究[J].北京航空航天大学学报,2000,26(4):473-476.
[19]邹孝恒,郝中骐,易荣兴,等.基于遗传算法和偏最小二乘法的土壤激光诱导击穿光谱定量分析研究[J].分析化学,2015,43(2):181-186.
[20]刘珊珊,林思寒,张俊,等.单脉冲激光诱导击穿光谱定量分析猪饲料中铜元素含量[J].激光与光电子学进展,2017,54(5):330-338.
[21]张道中,刘元英.猪的饲养常识——猪饲料及饲料配方浅说[J].今日养猪业,2014(11):44-48.
[22]胡慧琴,徐雪红,刘木华,等.激光诱导击穿光谱结合偏最小二乘法直接检测皮蛋壳中的Cu含量[J].光谱学与光谱分析,2015,35(12):3500-3504.
[23]黎文兵,药林桃,刘木华,等.光谱预处理对LIBS检测脐橙中Cu的偏最小二乘定量模型影响[J].光谱学与光谱分析,2015,35(5):1392-1397.