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Content Provider | SpringerLink |
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Author | Zhan, Honglei Qin, Fangli Jin, Wujun Ge, Li’na Liu, Honglan Zhao, Kun |
Copyright Year | 2013 |
Abstract | This paper introduces the terahertz time-domain spectroscopy (THz-TDS) used for the quantitative detection of n-heptane volume ratios in 41 n-heptane and n-octane mixtures with the concentration range of 0–100% at the intervals of 2.5%. Among 41 samples, 33 were used for calibration and the remaining 8 for validation. Models of chemometrics methods, including partial least squares (PLS) and back propagation-artificial neural network (BP-ANN), were built between the THz-TDS and the n-heptane percentage. To evaluate the quality of the built models, we calculated the correlation coefficient (R) and root-mean-square errors (RMSE) of calibration and validation models. R and RMSE of two methods were close to 1 and 0 within acceptable levels, respectively, demonstrating that the combination of THz-TDS and chemometrics methods is a potential and promising tool for further quantitative detection of nalkanes. |
Starting Page | 57 |
Ending Page | 61 |
Page Count | 5 |
File Format | |
ISSN | 20952759 |
Journal | Frontiers of Optoelectronics |
Volume Number | 8 |
Issue Number | 1 |
e-ISSN | 20952767 |
Language | English |
Publisher | Higher Education Press |
Publisher Date | 2013-12-19 |
Publisher Institution | Chinese Universities |
Publisher Place | Heidelberg |
Access Restriction | Subscribed |
Subject Keyword | terahertz time-domain spectroscopy (THz-TDS) n-heptane n-octane partial least squares (PLS) back propagation-artificial neural network (BP-ANN) Electrical Engineering Physics Biomedical Engineering |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering Electronic, Optical and Magnetic Materials |
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