光谱学与光谱分析 |
|
|
|
|
|
Study on the Enhancement Intensity of Cd in Rice with Microwave-Assisted Laser-Induced Breakdown Spectroscopy |
HU Hui-qin1, XU Xue-hong1,HUANG Lin2, YAO Ming-yin1*, CHEN Tian-bing1, LIU Mu-hua1, WANG Cai-hong1 |
1. Optics-Electrics Application of Biomaterials Laboratory, College of Engineering, Jiangxi Agricultural University, Nanchang 330045, China 2. College of Biological Sciences and Engineering, Jiangxi Agricultural University, Nanchang 330045, China |
|
|
Abstract As food safety problem has become the focus of attention all over the world, green detection methods of the contaminants in food is in accordance with the sustainable development of environment. Heavy metal pollutant Cd element in rice was used as the object of study in this work, laser induced breakdown spectroscopy (LIBS) and microwave assisted laser induced breakdown spectroscopy (MA-LIBS) were utilized to detect the blank and laboratory polluted rice samples respectively. The characteristic line of Cd Ⅰ 228.802 nm was employed as analytical line to discuss the enhancement effect of plasmas emission intensity for the analytical line of target element. Meanwhile, the actual concentration of Cd in rice was measured by anodic stripping voltammetry. The result displayed that LIBS can just detect the plasmas signals of the sample which contained 13.69 μg·g-1 cadmium for the laboratory polluted rice samples which concentration range from 2.16 to 13.69 μg·g-1, however, in the same experimental conditions, MA-LIBS can detect the plasmas signals of Cd in all of the contaminated rice samples successfully, and compared with LIBS, the plasmas emission intensity of Cd element was enhanced from 9 to 27 times. The results showed that the plasmas emission intensity of Cd element in rice can be enhanced effectively by MA-LIBS, and the detection sensitivity can be effectively improved.
|
Received: 2015-06-29
Accepted: 2015-10-15
|
|
Corresponding Authors:
YAO Ming-yin
E-mail: mingyin800@126.com
|
|
[1] ZHOU Ming-hui, WANG Song-xue, WU Yan-xiang(周明慧, 王松雪, 伍燕湘). Journal of the Chinese Cereals and Oils Association(中国粮油学报),2015, 30(2): 97. [2] Yu Jin, Zheng Ronger. Frontiers of Physics,2012, 7(6): 647. [3] Barbara Feist, Barbara Mikula. Food Chemistry,2014, 147: 302. [4] Co瘙塂kun zdemir, 瘙塁erife Samac, enol Kartal. Analytical Methods,2013, 5(16): 3977. [5] Rosalie A Multari, David A Cremers, Jo Anne M Dupre, et al. Journal of Agricultural and Food Chemistry,2013, 61(36): 8687. [6] Hou Huaming, Tian Ye, Li Ying, et al. Journal of Analytical Atomic Spectrometry, 2014, 29(1): 169. [7] Chu P C, Yip W L, Cai Y, et al. Journal of Analytical Atomic Spectrometry,2011, 26: 1210. [8] Jorge Serrano, Javier Moros, Carlos Sánchez, et al. Analytica Chimica Acta,2014, 806: 107. [9] LIU Lu-wen, ZENG Wei-li, ZHU Xiang-fei, et al. Spectroscopy and Spectral Analysis,2014, 34(3): 805. [10] Marcos da Silva Gomes, Gabriel Gustinelli Arantes de Carvalho, Dário Santos Junior, et al. Spectrochimica Acta Part B: Atomic Spectroscopy,2013, 86: 137. [11] Yu Y, Guo L B, Hao Z Q, et al. Optics Express,2014, 22(4): 3895. [12] YUAN Ting-bi, WANG Zhe, LI Zheng, et al. Analytica Chimica Acta,2014, (807): 29. [13] ZHANG Lei, MA Wei-guang, DONG Lei, et al. Applied Spectroscopy,2011, 65(7): 790. [14] YAO Shun-chun, LU Ji-dong, ZHENG Jian-ping, et al. Journal of Analytical Atomic Spectrometry,2012, 27(3): 473. [15] Motonobu Tampo, Masabumi Miyabe, Katsuaki Akaoka, et al. The Royal Society of Chemistry. 2014, 29:886. [16] Yuji I, Ryoji T. Apply Optics. 2012, 51: B183. [17] Yuji I, Ahsa M, Masashi K. Apply Optics,2010, 49: C95. [18] Liu Yuan, Matthieu Baudelet, Martin Richardson. Journal of Analytical Atomic Spectrometry,2010, 25:1316. [19] Liu Yuan, Bruno Bousquet, Matthieu Baudelet, et al. Spectrochimica Acta Part B: Atomic Spectroscopy. 2012, 41(6): 89. |
[1] |
LIANG Ye-heng1, DENG Ru-ru1, 2*, LIANG Yu-jie1, LIU Yong-ming3, WU Yi4, YUAN Yu-heng5, AI Xian-jun6. Spectral Characteristics of Sediment Reflectance Under the Background of Heavy Metal Polluted Water and Analysis of Its Contribution to
Water-Leaving Reflectance[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 111-117. |
[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] |
CHENG Hui-zhu1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, MA Qian1, 2, ZHAO Yan-chun1, 2. Genetic Algorithm Optimized BP Neural Network for Quantitative
Analysis of Soil Heavy Metals in XRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3742-3746. |
[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] |
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. |
[6] |
LIU Hong-wei1, FU Liang2*, CHEN Lin3. Analysis of Heavy Metal Elements in Palm Oil Using MP-AES Based on Extraction Induced by Emulsion Breaking[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3111-3116. |
[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] |
MA Qian1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, CHENG Hui-zhu1, 2, ZHAO Yan-chun1, 2. Research on Classification of Heavy Metal Pb in Honeysuckle Based on XRF and Transfer Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2729-2733. |
[9] |
LUAN Xin-xin1, ZHAI Chen2, AN Huan-jiong3, QIAN Cheng-jing2, SHI Xiao-mei2, WANG Wen-xiu3, HU Li-ming1*. Applications of Molecular Spectral Information Fusion to Distinguish the Rice From Different Growing Regions[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2818-2824. |
[10] |
CHENG Fang-beibei1, 2, GAN Ting-ting1, 3*, ZHAO Nan-jing1, 4*, YIN Gao-fang1, WANG Ying1, 3, FAN Meng-xi4. Rapid Detection of Heavy Metal Lead in Water Based on Enrichment by Chlorella Pyrenoidosa Combined With X-Ray Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2500-2506. |
[11] |
ZHANG Xia1, WANG Wei-hao1, 2*, SUN Wei-chao1, DING Song-tao1, 2, WANG Yi-bo1, 2. Soil Zn Content Inversion by Hyperspectral Remote Sensing Data and Considering Soil Types[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2019-2026. |
[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] |
WANG Bin1, 2, ZHENG Shao-feng2, GAN Jiu-lin1, LIU Shu3, LI Wei-cai2, YANG Zhong-min1, SONG Wu-yuan4*. Plastic Reference Material (PRM) Combined With Partial Least Square (PLS) in Laser-Induced Breakdown Spectroscopy (LIBS) in the Field of Quantitative Elemental Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2124-2131. |
[15] |
HU Meng-ying1, 2, ZHANG Peng-peng1, 2, LIU Bin1, 2, DU Xue-miao1, 2, ZHANG Ling-huo1, 2, XU Jin-li1, 2*, BAI Jin-feng1, 2. Determination of Si, Al, Fe, K in Soil by High Pressure Pelletised Sample and Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2174-2180. |
|
|
|
|