光谱学与光谱分析 |
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Effect of Characteristic Variable Extraction on Accuracy of Cu in Navel Orange Peel by LIBS |
LI Wen-bing, YAO Ming-yin*, HUANG Lin, CHEN Tian-bing, ZHENG Jian-hong, FAN Shi-quan, LIU Mu-hua, HE Xiu-wen, LIN Jin-long, OUYANG Jing-yi |
Optics-Electrics Application of Biomaterials Lab,College of Engineering, Jiangxi Agricultural University, Nanchang 330045,China |
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Abstract Heavy metals pollution in foodstuffs is more and more serious. It is impossible to satisfy the modern agricultural development by conventional chemical analysis. Laser induced breakdown spectroscopy (LIBS) is an emerging technology with the characteristic of rapid and nondestructive detection. But LIBS’s repeatability, sensitivity and accuracy has much room to improve. In this work, heavy metal Cu in Gannan Navel Orange which is the Jiangxi specialty fruit will be predicted by LIBS. Firstly, the navel orange samples were contaminated in our lab. The spectra of samples were collected by irradiating the peel by optimized LIBS parameters. The laser energy was set as 20 mJ, delay time of Spectral Data Gathering was set as 1.2 μs, the integration time of Spectral data gathering was set as 2 ms. The real concentration in samples was obtained by AAS (atom absorption spectroscopy). The characteristic variables Cu Ⅰ 324.7 and Cu Ⅰ 327.4 were extracted. And the calibration model was constructed between LIBS spectra and real concentration about Cu. The results show that relative error of the predicted concentrations of three relational model were 7.01% or less, reached a minimum of 0.02%, 0.01% and 0.02% respectively. The average relative errors were 2.33%, 3.10% and 26.3%. Tests showed that different characteristic variables decided different accuracy. It is very important to choose suitable characteristic variable. At the same time, this work is helpful to explore the distribution of heavy metals between pulp and peel.
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Received: 2014-04-07
Accepted: 2014-08-05
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Corresponding Authors:
YAO Ming-yin
E-mail: mingyin800@126.com
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[1] WANG Jing, FAN Ying, ZHANG Lei, et al(王 璟, 樊 颖, 张 蕾,等). China Invention & Patent(中国发明与专利), 2013, (9): 25. [2] FENG Liang, ZHANG Yue, WEN Li-ying(冯 亮, 张 玥, 温丽英). China Food Safety Magazine(食品安全导刊), 2011, (3): 46. [3] PENG Yan-kun, ZHANG Lei-lei(彭彦昆, 张雷蕾). Journal of Food Safety & Quality(食品安全质量检测学报), 2012, 3(6): 561. [4] Gulab S. Maurya, Aradhana Jyotsana, Rohit Kumar, et al. Journal of Nuclear Materials, 2014, 444(3): 23. [5] YANG Xue-jiao, PENG Fei-fei, LI Run-hua(杨雪娇, 彭飞飞, 李润华). High Power Laser and Particle Beams(强激光与粒子束) , 2013, 25(3): 557. [6] DU Chuang, GAO Xun, SHAO Yan, et al(杜 闯, 高 勋, 邵 妍, 等). Acta Physica Sinica(物理学报),2013, 62(4): 045202. [7] ZHANG Da-cheng, MA Xin-wen, ZHU Xiao-long, et al(张大成, 马新文, 朱小龙, 等). Acta Physica Sinica(物理学报), 2008, 57(10): 6348. [8] LIU Xiao-na, WU Zhi-sheng, QIAO Yan-jiang(刘晓娜, 吴志生, 乔延江). World Chinese Medicine(世界中医药), 2013, (11): 1269. [9] Lei W Q, El Haddad J, Motto-Ros V, et al. Analytical and Bioanalytical Chemistry, 2011, 400(10): 3303. [10] Yvon G. Mbesse Kongbonga, Hassen Ghalila, Marthe Boyomo Onana, et al. Food Chemistry, 2014, 147(15): 327. [11] Marcos da Silva Gomes, Gabriel Gustinelli Arantes de Carvalho, Dário Santos Junior, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2013, 86: 137. [12] Rosalie A Multari, David A Cremers, Jo Anne M Dupre, et al. Journal of Agricultural and Food Chemistry, 2013, 61(36): 8687. [13] Gibaek Kim, Jihyun Kwak, Jeunghwan Choi, et al. Journal of Agricultural and Food Chemistry, 2012, 60(3): 718. [14] Ferreira Edilene C, Menezes Eveline A, Matos Wladiana O, et al. Food Control, 2010, 21(10): 1327. [15] ZHANG Hong-xing, RUI Yu-kui(张红星, 芮玉奎). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007,27(8):1632. [16] ZHANG Xu, YAO Ming-yin, LIU Mu-hua(张 旭, 姚明印, 刘木华). Acta Physica Sinica(物理学报),2013,62(4): 044211. |
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