Simultaneous quantitative analysis of 3H and 14C radionuclides in aqueous samples via artificial neural network with a liquid scintillation counter

2021 ◽  
Vol 170 ◽  
pp. 109593
Author(s):  
Sungyeop Joung ◽  
Yewon Kim ◽  
Jinhwan Kim ◽  
Jiyoung Park ◽  
Mee Jang ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Quantitative Analysis ◽  
Liquid Scintillation ◽  
Scintillation Counter ◽  
Liquid Scintillation Counter ◽  
Aqueous Samples ◽  
Artificial Neural

ARTIFICIAL NEURAL NETWORK FOR THE QUANTITATIVE ANALYSIS OF AIR TOXIC VOCs

2001 ◽  
Vol 34 (12) ◽  
pp. 2203-2219 ◽  
Author(s):  
Yan Li ◽  
Junde Wang ◽  
Zuoru Chen ◽  
Xuetie Zhou
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Quantitative Analysis ◽  
Artificial Neural

Simultaneous measurements of 22Na and 36Cl in aqueous samples: a comparison of three different methods

1987 ◽  
Vol 252 (3) ◽  
pp. G436-G438 ◽  
Author(s):  
P. K. Rangachari ◽  
D. McWade
Keyword(s):  
Liquid Scintillation ◽  
Scintillation Counter ◽  
Liquid Scintillation Counter ◽  
Precipitation Method ◽  
Aqueous Samples ◽  
Sequential Method ◽  
Spectral Analysis Method ◽  
Dual Label ◽  
Gamma Counter ◽  
Beta Counter

We have critically analyzed three methods that measure the combined presence of 36Cl and 22Na in aqueous samples. These were a sequential method, a dual-label spectral analysis method (Beckman 1983), and a AgNO3 precipitation method (Thompson 1983). The former requires the use of both a gamma counter and a beta liquid scintillation counter, whereas the latter two require access to a beta counter only. Our analysis suggests that investigators who have access to both a liquid scintillation counter and a gamma spectrometer would find the sequential method relatively simple to use and reasonably reliable. Those with access to only a liquid scintillation counter would be best advised to use the AgNO3 method described by Thompson.

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