Detection of chromium in different valence states in water and soil using laser-induced breakdown spectroscopy combined with an ion enrichment chip
文献类型: 外文期刊
作者: Xu, Fanghao 1 ; Ma, Shixiang 2 ; Tian, Hongwu 2 ; Xing, Zhen 2 ; Zhao, Chunjiang 2 ; Feng, Quan 1 ; Zhao, Xiande 2 ; Dong, Daming 2 ;
作者机构: 1.Gansu Agr Univ, Coll Mech & Elect Engn, Lanzhou 730070, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Res Ctr Intelligent Equipment, Beijing 100097, Peoples R China
3.Minist Agr & Rural Affairs, Key Lab Agr Sensors, Beijing 100097, Peoples R China
期刊名称:JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY ( 影响因子:3.4; 五年影响因子:3.4 )
ISSN: 0267-9477
年卷期: 2023 年 38 卷 7 期
页码:
收录情况: SCI
摘要: In the environment, chromium usually exists in both the trivalent and hexavalent states. Cr(vi) is of particular concern because it is highly toxic. However, it remains challenging to conduct field detection for trace concentrations of different valence states of Cr. Here, we propose a method based on laser-induced breakdown spectroscopy (LIBS) combined with an ion enrichment chip (IEC) to rapidly and sensitively detect the total Cr and Cr(vi) in water and soil. This method was termed IEC-LIBS. A chip with a millimetric channel was used for separating and enriching total Cr and Cr(vi) and LIBS was used for detection. The limits of detection (LoDs) of total Cr and Cr(vi) in water were 10 mu g L-1 and 4 mu g L-1, respectively, and the recoveries from spiked pool water ranged from 90 to 114%. The method also had good quantitative ability for soil detection, with total Cr and Cr(vi) LoDs of 13.6 mg kg(-1) and 3.8 mg kg(-1), respectively. The detection sensitivity of this method met the Cr environmental quality standards in China, and the detection time was within 20 min. IEC-LIBS is a simple and environmentally friendly method for detecting trace Cr in different valence states, and it is expected to be useful for field application.
- 相关文献
作者其他论文 更多>>
-
Recognition of maize seedling under weed disturbance using improved YOLOv5 algorithm
作者:Tang, Boyi;Zhao, Chunjiang;Tang, Boyi;Zhou, Jingping;Pan, Yuchun;Qu, Xuzhou;Cui, Yanglin;Liu, Chang;Li, Xuguang;Zhao, Chunjiang;Gu, Xiaohe;Li, Xuguang
关键词:Object detection; Maize seedlings; UAV RGB images; YOLOv5; Attention mechanism
-
On-Site Detection of Ca and Mg in Surface Water Using Portable Laser-Induced Breakdown Spectroscopy
作者:Wan, Yuanxin;Zheng, Peichao;Wan, Yuanxin;Ma, Shixiang;Zhao, Xiande;Xing, Zhen;Jiao, Leizi;Tian, Hongwu;Dong, Daming;Ma, Shixiang;Zhao, Xiande;Xing, Zhen;Jiao, Leizi;Tian, Hongwu;Dong, Daming
关键词:laser-induced breakdown spectroscopy (LIBS); miniaturized LIBS; on-site detection
-
Boosting Cost-Efficiency in Robotics: A Distributed Computing Approach for Harvesting Robots
作者:Xie, Feng;Xie, Feng;Li, Tao;Feng, Qingchun;Li, Tao;Feng, Qingchun;Chen, Liping;Zhao, Chunjiang;Zhao, Hui
关键词:5G network; computation allocation; edge computing; harvesting robot; visual system
-
Genotyping Identification of Maize Based on Three-Dimensional Structural Phenotyping and Gaussian Fuzzy Clustering
作者:Xu, Bo;Zhao, Chunjiang;Xu, Bo;Zhao, Chunjiang;Yang, Guijun;Zhang, Yuan;Liu, Changbin;Feng, Haikuan;Yang, Xiaodong;Yang, Hao;Xu, Bo;Zhao, Chunjiang;Yang, Guijun;Zhang, Yuan;Liu, Changbin;Feng, Haikuan;Yang, Xiaodong;Yang, Hao
关键词:tassel; 3D phenotyping; TreeQSM; genotyping; clustering
-
Rapid and highly sensitive detection of trace chromium and copper in tea infusion using laser-induced breakdown spectroscopy combined with electrospinning technology
作者:He, Panyu;Fu, Xinglan;Wang, Chenghao;Gou, Yujiang;An, Ting;Li, Guanglin;Cao, Fengjing;Tian, Hongwu;Ma, Shixiang;Liang, Yiyi
关键词:Laser-induced breakdown spectroscopy (LIBS); Electrospinning (ES); Tea infusion; Nanoparticles(NPs); Electrospun nanofiber membranes (ENM); Heavy metals detection
-
High-throughput phenotyping techniques for forage: Status, bottleneck, and challenges
作者:Cheng, Tao;Zhang, Dongyan;Cheng, Tao;Wang, Zhaoming;Zhang, Dongyan;Zhang, Gan;Yuan, Feng;Liu, Yaling;Wang, Tianyi;Ren, Weibo;Zhao, Chunjiang
关键词:Forage; High-throughput phenotyping; Precision identification; Sensors; Artificial intelligence; Efficient breeding
-
Simultaneous prediction of multiple soil components using Mid-Infrared Spectroscopy and the GADF-Swin Transformer model
作者:Guo, Wenqi;Gao, Shichen;Ding, Yaohui;Dong, Daming;Guo, Wenqi;Dong, Daming;Guo, Wenqi;Dong, Daming
关键词:Multiple soil components; Simultaneous prediction; Mid-infrared spectroscopy; Gramian angular difference fields; Swin transformer



