光谱学与光谱分析 |
|
|
|
|
|
Determination of Cu in Shell of Preserved Egg by LIBS Coupled with PLS |
HU Hui-qin, XU Xue-hong, LIU Mu-hua, TU Jian-ping, HUANG Le, HUANG Lin, YAO Ming-yin*, CHEN Tian-bing, YANG Ping |
Optics-Electrics Application of Biomaterials Laboratory, Jiangxi Agricultural University, Nanchang 330045, China |
|
|
Abstract In this work, the content of copper in the shell of preserved eggs were determined directly by Laser induced breakdown spectroscopy (LIBS), and the characteristics lines of Cu was obtained. The samples of eggshell were pretreated by acid wet digestion, and the real content of Cu was obtained by atomic absorption spectrophotometer (AAS).Due to the test precision and accuracy of LIBS was influenced by a serious of factors, for example, the complex matrix effect of sample, the enviro nment noise, the system noise of the instrument, the stability of laser energy and so on. And the conventional uni-variate linear calibration curve between LIBS intensity and content of element of sample, such as by use of Schiebe G-Lomakin equation, can not meet the requirement of quantitative analysis. In account of that, a kind of multivariate calibration method is needed. In this work, the data of LIBS spectra were processed by partial least squares (PLS), the precision and accuracy of PLS model were compared by different smoothing treatment and five pretreatment methods.The result showed that the correlation coefficient and the accuracy of the PLS model were improved, and the root mean square error and the average relative error were reduced effectively by 11 point smoothing with Multiplicative scatter correction (MSC) pretreatment. The results of the study show that, heavy metal Cu in preserved egg shells can be direct detected accurately by laser induced breakdown spectroscopy, and the next step batch tests will been conducted to find out the relationship of heavy metal Cu content in the preserved egg between the eggshell, egg white and egg yolk. And the goal of the contents of heavy metals in the egg white, egg yolk can be knew through determinate the eggshell by the LIBS can be achieved, to provide new method for rapid non-destructive testing technology for quality and safety of agricultural products.
|
Received: 2014-09-28
Accepted: 2014-12-15
|
|
Corresponding Authors:
YAO Ming-yin
E-mail: mingyin800@126.com
|
|
[1] LI Dong-ling, JIN Cheng, MA Fei-chao,et al(李冬玲, 金 呈, 马飞超,等). Metallurgical Analysis(冶金分析),2014, 34(1):1. [2] YANG You-liang, LI Jun-xiang, MA Cui-hong, et al(杨友良, 李俊香, 马翠红, 等). Laser Journal(激光杂志), 2014, 35(1): 35. [3] CHEN Jin-zhong, CHEN Zhen-yu, MA Rui-ling,et al(陈金忠, 陈振玉, 马瑞玲, 等). Chinese Journal of Lasers(中国激光), 2013, 40(1): 0115002-1. [4] DU Chuang, GAO Xun, SHAO Yan, et al(杜 闯, 高 勋, 邵 妍,等). Acta Phys. Sin.(物理学报),2013, 62(4): 045202-1. [5] WANG Chun-long, LIU Jian-guo, ZHAO Nan-jing, et al(王春龙, 刘建国, 赵南京, 等). Acta Phys. Sin.(物理学报), 2013, 62(12): 125201-1. [6] XU Li, WANG Li, YAO Guan-xin, et al(徐 丽, 王 莉, 姚关心,等). Journal of Anhui Normal University(安徽师范大学学报),2012, 35(5): 438. [7] Gilon N, El-Haddad J, Stankova A, et al. Anal. Bioanal. Chem., 2011, 401: 2681. [8] ZHANG Xu, YAO Ming-yin, LIU Mu-hua(张 旭, 姚明印, 刘木华). Acta Phys. Sin.(物理学报),2013, 62(4): 044211-1. [9] CHEN Qiu-ling, WU Gan-jun(陈秋玲, 吴干俊). China Safety Science Journal(中国安全科学学报),2012, 22(10): 8. [10] YU Ling-yan, LOU Hong-gang, RUAN Zou-rong,et al(俞凌燕, 楼洪刚, 阮邹荣,等). Chinese Journal of Clinical Pharmacology and Therapeutics(中国临床药理学与治疗学),2012, 17(9): 1022. [11] DU Min, WU Zhi-sheng, LIN Zhao-zhou,et al(杜 敏, 吴志生, 林兆洲,等). Chin. J. Pharm. Anal.(药物分析杂志),2012,32(10): 1796. [12] Yao Shunchun, Lu Jidong, Dong Meirong,et al. Applied Spectroscopy, 2011, 65(10): 1197. [13] Yuan Tingbi, Wang Zhe, Li Zheng,et al. Analytica Chimica Acta, 2014,(807): 29. [14] Cong Zhibo, Sun Lanxiang, Xin Yong,et al. Scientific Research,2013, 1: 14. [15] Yao Mingyin, Huang Lin, Zheng Jianhong,et al. Optics & Laser Technology, 2013, 52: 70. |
[1] |
LI Yu1, ZHANG Ke-can1, PENG Li-juan2*, ZHU Zheng-liang1, HE Liang1*. Simultaneous Detection of Glucose and Xylose in Tobacco by Using Partial Least Squares Assisted UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 103-110. |
[2] |
LIU Jia1, 2, GUO Fei-fei2, YU Lei2, CUI Fei-peng2, ZHAO Ying2, HAN Bing2, SHEN Xue-jing1, 2, WANG Hai-zhou1, 2*. Quantitative Characterization of Components in Neodymium Iron Boron Permanent Magnets by Laser Induced Breakdown Spectroscopy (LIBS)[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 141-147. |
[3] |
BAO Hao1, 2,ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
[4] |
YANG Wen-feng1, LIN De-hui1, CAO Yu2, QIAN Zi-ran1, LI Shao-long1, ZHU De-hua2, LI Guo1, ZHANG Sai1. Study on LIBS Online Monitoring of Aircraft Skin Laser Layered Paint Removal Based on PCA-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3891-3898. |
[5] |
CHEN Jia-wei1, 2, ZHOU De-qiang1, 2*, CUI Chen-hao3, REN Zhi-jun1, ZUO Wen-juan1. Prediction Model of Farinograph Characteristics of Wheat Flour Based on Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3089-3097. |
[6] |
SUN Cheng-yu1, JIAO Long1*, YAN Na-ying1, YAN Chun-hua1, QU Le2, ZHANG Sheng-rui3, MA Ling1. Identification of Salvia Miltiorrhiza From Different Origins by Laser
Induced Breakdown Spectroscopy Combined with Artificial Neural
Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3098-3104. |
[7] |
LIU Shu1, JIN Yue1, 2, SU Piao1, 2, MIN Hong1, AN Ya-rui2, WU Xiao-hong1*. Determination of Calcium, Magnesium, Aluminium and Silicon Content in Iron Ore Using Laser-Induced Breakdown Spectroscopy Assisted by Variable Importance-Back Propagation Artificial Neural Networks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3132-3142. |
[8] |
JIA Hao1, 3, 4, ZHANG Wei-fang1, 3, LEI Jing-wei1, 3*, LI Ying-ying1, 3, YANG Chun-jing2, 3*, XIE Cai-xia1, 3, GONG Hai-yan1, 3, DING Xin-yu1, YAO Tian-yi1. Study on Infrared Fingerprint of the Classical Famous
Prescription Yiguanjian[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3202-3210. |
[9] |
WU Yong-qing1, 2, TANG Na1, HUANG Lu-yao1, CUI Yu-tong1, ZHANG Bo1, GUO Bo-li1, ZHANG Ying-quan1*. Model Construction for Detecting Water Absorption in Wheat Flour Using Vis-NIR Spectroscopy and Combined With Multivariate Statistical #br#
Analyses[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2825-2831. |
[10] |
LIU Rui-min, YIN Yong*, YU Hui-chun, YUAN Yun-xia. Extraction of 3D Fluorescence Feature Information Based on Multivariate Statistical Analysis Coupled With Wavelet Packet Energy for Monitoring Quality Change of Cucumber During Storage[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2967-2973. |
[11] |
YANG Dong-feng1, HU Jun2*. Accurate Identification of Maize Varieties Based on Feature Fusion of Near Infrared Spectrum and Image[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2588-2595. |
[12] |
LI Chang-ming1, CHEN An-min2*, GAO Xun3*, JIN Ming-xing2. Spatially Resolved Laser-Induced Plasma Spectroscopy Under Different Sample Temperatures[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2032-2036. |
[13] |
ZHAO Yang1, ZHANG Lei2, 3*, CHENG Nian-kai4, YIN Wang-bao2, 3*, HOU Jia-jia5, BAI Cheng-hua1. Research on Space-Time Evolutionary Mechanisms of Species Distribution in Laser Induced Binary Plasma[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2067-2073. |
[14] |
LUO Dong-jie, WANG Meng, ZHANG Xiao-shuan, XIAO Xin-qing*. Vis/NIR Based Spectral Sensing for SSC of Table Grapes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2146-2152. |
[15] |
CHEN Wan-jun1, XU Yuan-jie2, LU Zhi-yun3, QI Jin-hua3, WANG Yi-zhi1*. Discriminating Leaf Litters of Six Dominant Tree Species in the Mts. Ailaoshan Based on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2119-2123. |
|
|
|
|