Rapid identification of CCA-treated wood using laser-induced breakdown spectroscopy

2012 ◽  
Vol 58 (4) ◽  
pp. 363-368 ◽  
Author(s):  
Yurie Aono ◽  
Keisuke Ando ◽  
Nobuaki Hattori
Keyword(s):  
Treated Wood ◽  
Rapid Identification ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

scholarly journals Rapid Identification of Kudzu Powder of Different Origins Using Laser-Induced Breakdown Spectroscopy

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1453 ◽  
Author(s):  
Fei Liu ◽  
Wei Wang ◽  
Tingting Shen ◽  
Jiyu Peng ◽  
Wenwen Kong
Keyword(s):  
Discriminant Analysis ◽  
Chinese Medicine ◽  
Rapid Identification ◽  
Laser Induced Breakdown Spectroscopy ◽  
Analysis Model ◽  
Full Spectrum ◽  
Breakdown Spectroscopy ◽  
Characteristic Wavelength ◽  
Laser Induced Breakdown ◽  
Different Origins

The rapid identification of kudzu powder of different origins is of great significance for studying the authenticity identification of Chinese medicine. The feasibility of rapidly identifying kudzu powder origin was investigated based on laser-induced breakdown spectroscopy (LIBS) technology combined with chemometrics methods. The discriminant models based on the full spectrum include extreme learning machine (ELM), soft independent modeling of class analogy (SIMCA), K-nearest neighbor (KNN) and random forest (RF), and the accuracy of models was more than 99.00%. The prediction results of KNN and RF models were best: the accuracy of calibration and prediction sets of kudzu powder from different producing areas both reached 100%. The characteristic wavelengths were selected using principal component analysis (PCA) loadings. The accuracy of calibration set and the prediction set of discrimination models, based on characteristic wavelengths, is all higher than 98.00%. Random forest and KNN have the same excellent identification results, and the accuracy of calibration and prediction sets of kudzu powder from different producing areas reached 100%. Compared with the full spectrum discriminant analysis model, the discriminant analysis model based on the characteristic wavelength had almost the same discriminant effects, and the input variables were reduced by 99.92%. The results of this research show that the characteristic wavelength can be used instead of the LIBS full spectrum to quickly identify kudzu powder from different producing areas, which had the advantages of reducing input, simplifying the model, increasing the speed and improving the model effect. Therefore, LIBS technology is an effective method for rapid identification of kudzu powder from different habitats. This study provides a basis for LIBS to be applied in the genuineness and authenticity identification of Chinese medicine.

Rapid identification and discrimination of bacterial strains by laser induced breakdown spectroscopy and neural networks

Talanta ◽  
2014 ◽  
Vol 121 ◽  
pp. 65-70 ◽  
Author(s):  
S. Manzoor ◽  
S. Moncayo ◽  
F. Navarro-Villoslada ◽  
J.A. Ayala ◽  
R. Izquierdo-Hornillos ◽  
...  
Keyword(s):  
Neural Networks ◽  
Rapid Identification ◽  
Laser Induced Breakdown Spectroscopy ◽  
Bacterial Strains ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Rapid identification of Huanlongbing-infected citrus plants using laser-induced breakdown spectroscopy of phloem samples

2018 ◽  
Vol 57 (30) ◽  
pp. 8841 ◽  
Author(s):  
Luis Ponce ◽  
Ed Etxeberria ◽  
Pedro Gonzalez ◽  
Alejandro Ponce ◽  
Teresa Flores
Keyword(s):  
Rapid Identification ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Rapid identification of rice species by laser-induced breakdown spectroscopy combined with pattern recognition

2019 ◽  
Vol 58 (7) ◽  
pp. 1631 ◽  
Author(s):  
Ziyi Luo ◽  
Linying Zhang ◽  
Tianbing Chen ◽  
Muhua Liu ◽  
Jinyin Chen ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Rapid Identification ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

scholarly journals Rapid identification of phosphorus containing proteins in electrophoresis gel spots by Laser-Induced Breakdown Spectroscopy, LIBS

2014 ◽  
Vol 29 (3) ◽  
pp. 545-552 ◽  
Author(s):  
Nadir Aras ◽  
Şerife Yalçın
Keyword(s):  
Rapid Identification ◽  
Polyacrylamide Gel ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Phosphorus Containing ◽  
Laser Induced Breakdown

We describe a methodology for the rapid identification of phosphorus containing proteins in the polyacrylamide gel matrix by Laser-Induced Breakdown Spectroscopy, LIBS.

On-Line Sorting of Wood Treated with Chromated Copper Arsenate Using Laser-Induced Breakdown Spectroscopy

2002 ◽  
Vol 56 (10) ◽  
pp. 1337-1344 ◽  
Author(s):  
T. M. Moskal ◽  
D. W. Hahn
Keyword(s):  
Treated Wood ◽  
Untreated Wood ◽  
Field Evaluation ◽  
Sample Surface ◽  
Wood Products ◽  
Detector System ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
On Line

This paper details the design, implementation, and field evaluation of an online detector system using laser-induced breakdown spectroscopy (LIBS) for the analysis of copper chromated arsenate (CCA) treated wood products. The LIBS-based instrument functioned by creating the laser-induced plasma directly on the sample surface while wood was translated under the detector system, and was successful in discriminating between CCA treated wood and untreated wood products based on the atomic emission signal of chromium. The system was optimized for plasma emission collection both in and out of the laser focal plane and temporally optimized for chromium analysis using a compact, non-intensified charge-coupled device (CCD)/spectrometer unit. Using either single laser pulse spectra or 5-shot and 10-shot spectral averages, the accuracy of LIBS-based analysis ranged from 92 to 100% for identifying both CCA treated and untreated wood samples from the waste stream at a construction and demolition debris recycling center. Additional implementation issues are discussed in the context of LIBS-based on-line sorting of construction and demolition wood debris.

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