Ensemble calibration for the spectral quantitative analysis of complex samples

2017 ◽  
Vol 32 (11) ◽  
pp. e2940 ◽  
Author(s):  
Xihui Bian ◽  
Pengyao Diwu ◽  
Yirui Liu ◽  
Peng Liu ◽  
Qian Li ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Complex Samples

Multi-energy calibration and sample fusion as alternatives for quantitative analysis of high silicon content samples by laser-induced breakdown spectrometry

2019 ◽  
Vol 34 (8) ◽  
pp. 1701-1707 ◽  
Author(s):  
Alexandrina A. C. Carvalho ◽  
Larissa A. Cozer ◽  
Maciel S. Luz ◽  
Lidiane C. Nunes ◽  
Fábio R. P. Rocha ◽  
...  
Keyword(s):  
Particle Size ◽  
Quantitative Analysis ◽  
Size Effects ◽  
Silicon Content ◽  
Energy Calibration ◽  
Laser Induced Breakdown Spectroscopy ◽  
Complex Samples ◽  
Matrix Interferences ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Calibration aiming at quantitative analysis of complex samples is one of the most difficult issues in laser-induced breakdown spectroscopy (LIBS) due to matrix interferences, heterogeneity, and sample particle size effects.

Spectral quantitative analysis of complex samples based on the extreme learning machine

2016 ◽  
Vol 8 (23) ◽  
pp. 4674-4679 ◽  
Author(s):  
Xi-Hui Bian ◽  
Shu-Juan Li ◽  
Meng-Ran Fan ◽  
Yu-Gao Guo ◽  
Na Chang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Extreme Learning Machine ◽  
Predictive Performance ◽  
Complex Samples ◽  
Learning Machine ◽  
Novel Algorithm

A novel algorithm called the extreme learning machine is introduced for the spectral quantitative analysis of complex samples, which enhances predictive performance.

scholarly journals Selective Affinity Enrichment of Nitrotyrosine-Containing Peptides for Quantitative Analysis in Complex Samples

2017 ◽  
Vol 16 (8) ◽  
pp. 2983-2992 ◽  
Author(s):  
Yingxin Zhao ◽  
Yueqing Zhang ◽  
Hong Sun ◽  
Rosario Maroto ◽  
Allan R. Brasier
Keyword(s):  
Quantitative Analysis ◽  
Complex Samples ◽  
Affinity Enrichment
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