Quantitative analysis of chromium in pork by PSO-SVM chemometrics based on laser induced breakdown spectroscopy

2019 ◽  
Vol 34 (5) ◽  
pp. 884-890 ◽  
Author(s):  
Tianbing Chen ◽  
Linying Zhang ◽  
Lin Huang ◽  
Muhua Liu ◽  
Jinyin Chen ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Quantitative Analysis ◽  
Spectral Data ◽  
Prediction Accuracy ◽  
Metal Content ◽  
Quantitative Prediction ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Ann Models

The PSO-SVM method shown here, for the analysis of LIBS spectral data, provides much better fitting results and prediction accuracy than siPLS and MLP-ANN models for the quantitative prediction of heavy metal content in pork.

scholarly journals The effectiveness of laser-induced breakdown spectroscopy (LIBS) as a quantitative tool for environmental characterization

2021 ◽  
Author(s):  
Elizabeth Corriveau ◽  
Ashley Mossell ◽  
Holly VerMeulen ◽  
Samuel Beal ◽  
Jay Clausen
Keyword(s):  
Heavy Metal ◽  
Quantitative Analysis ◽  
Homeland Security ◽  
Inductively Coupled Plasma ◽  
Low Cost ◽  
Emission Spectrometry ◽  
Laser Induced Breakdown Spectroscopy ◽  
Cold Temperatures ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Laser-induced breakdown spectroscopy (LIBS) is a rapid, low-cost analytical method with potential applications for quantitative analysis of soils for heavy metal contaminants found in military ranges. The Department of Defense (DoD), Army, and Department of Homeland Security (DHS) have mission requirements to acquire the ability to detect and identify chemicals of concern in the field. The quantitative potential of a commercial off-the-shelf (COTS) hand-held LIBS device and a classic laboratory bench-top LIBS system was examined by measuring heavy metals (antimony, tungsten, iron, lead, and zinc) in soils from six military ranges. To ensure the accuracy of the quantified results, we also examined the soil samples using other hand-held and bench-top analytical methods, to include Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES) and X-Ray Fluorescence (XRF). The effects of soil heterogeneity on quantitative analysis were reviewed with hand-held and bench-top systems and compared multivariate and univariate calibration algorithms for heavy metal quantification. In addition, the influence of cold temperatures on signal intensity and resulting concentration were examined to further assess the viability of this technology in cold environments. Overall, the results indicate that additional work should be performed to enhance the ability of LIBS as a reliable quantitative analytical tool.

Highly sensitive analysis of trace elements in aqueous solutions using surface-enhanced and discharge-assisted laser-induced breakdown spectroscopy

2022 ◽  
Author(s):  
Qiuyun Wang ◽  
Ting Ge ◽  
Yitong Liu ◽  
Luyun Jiang ◽  
Anmin Chen ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Trace Elements ◽  
Quantitative Analysis ◽  
Aqueous Solutions ◽  
Laser Induced Breakdown Spectroscopy ◽  
Sensitive Analysis ◽  
Breakdown Spectroscopy ◽  
Highly Sensitive ◽  
Surface Enhanced ◽  
Laser Induced Breakdown

By combining surface-enhanced and discharge-assisted laser-induced breakdown spectroscopy (LIBS), the study successfully realized the quantitative analysis of trace heavy metal Cr, Cu, and Pb in aqueous solutions. We used an...

Quantitative analysis of coal quality by laser-induced breakdown spectroscopy assisted with different chemometric methods

2020 ◽  
Vol 12 (27) ◽  
pp. 3530-3536
Author(s):  
Youjian Zhang ◽  
Zhang Xiong ◽  
Yiwen Ma ◽  
Chenwei Zhu ◽  
Ran Zhou ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Prediction Accuracy ◽  
Laser Induced Breakdown Spectroscopy ◽  
Chemometric Methods ◽  
Coal Quality ◽  
Breakdown Spectroscopy ◽  
Calibration Methods ◽  
Laser Induced Breakdown

LIBS technique assisted with four different chemometric methods was applied to rapid and accurate measurement of coal quality, and the modeling efficiency and prediction accuracy of the four calibration methods were compared and discussed.

A laser induced breakdown spectroscopy quantitative analysis method based on the robust least squares support vector machine regression model

2015 ◽  
Vol 30 (7) ◽  
pp. 1541-1551 ◽  
Author(s):  
Jianhong Yang ◽  
Cancan Yi ◽  
Jinwu Xu ◽  
Xianghong Ma
Keyword(s):  
Quantitative Analysis ◽  
Prediction Accuracy ◽  
Laser Induced Breakdown Spectroscopy ◽  
Support Vector ◽  
Analysis Method ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Quantitative Analysis Method ◽  
Robust Least Squares ◽  
Multiple Measurements

Data fluctuation in multiple measurements of Laser Induced Breakdown Spectroscopy (LIBS) greatly affects the accuracy of quantitative analysis. Our proposed method achieved better prediction accuracy and modeling robustness.

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