time domain spectroscopy
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Optik ◽  
2022 ◽  
pp. 168594
Author(s):  
Huan Liu ◽  
Gui-Min Chen ◽  
Jing Ma ◽  
Ya-Xian Fan ◽  
Zhi-Yong Tao

2022 ◽  
Vol 52 (6) ◽  
Author(s):  
Xiaodong Zhang ◽  
Zhaohui Duan ◽  
Hanping Mao ◽  
Hongyan Gao ◽  
Zhiyu Zuo

ABSTRACT: For non-destructive detection of water stress in lettuce, terahertz time-domain spectroscopy (THz-TDS) was used to quantitatively analyze water content in lettuce. Four gradient lettuce water contents were used . Spectral data of lettuce were collected by a THz-TDS system, and denoised using the S-G derivative, Savitzky-Golay (S-G) smoothing and normalization filtering. The fitting effect of the pretreatment method was better than that of regression fitting, and the S-G derivative fitting effect was obtained. Then a calibration set and a verification set were divided by the Kennan-Stone algorithm, sample set partitioning based on joint X-Y distance (SPXY) algorithm, and the random sampling (RS) algorithm, and the parameters of RS were optimized by regression fitting. The stability competitive adaptive reweighted sampling, iteratively retained information variables and interval combination optimization were used to select characteristic wavelengths, and then continuous projection was used on basis of the three algorithms above. After the successive projection algorithm was re-screened, partial least squares regression was used into modeling. The regression coefficients Rc 2 and RMSEC reach 0.8962 and 412.5% respectively, and Rp 2 and RMSEP of the verification set are 0.8757 and 528.9% respectively.


2021 ◽  
pp. 15-22
Author(s):  
Peter Uhd Jepsen ◽  
Tobias Olaf Buchmann ◽  
Binbin Zhou ◽  
Edmund John Railton Kelleher ◽  
Martin Koch

2021 ◽  
Vol 41 (6) ◽  
pp. 599-608
Author(s):  
Xiaodong Zhang ◽  
Pei Wang ◽  
Hanping Mao ◽  
Hongyan Gao ◽  
Qinglin Li

2021 ◽  
Vol 11 (22) ◽  
pp. 10594
Author(s):  
Hwan Sik Kim ◽  
Seung Yeob Baik ◽  
Joong Wook Lee ◽  
Jangsun Kim ◽  
Yeong Hwan Ahn

In this study, we developed a rapid nondestructive tool for testing rust spread in a metal covered by a paint layer by using a THz time-domain spectroscopy system at a speed of 100 Hz/pixel. Time-of-flight imaging helps identify rust formation by exclusively obtaining the reflection from the steel below the paint surface. The use of frequency-selective imaging allows us to manipulate the contrast in rust imaging. Higher contrast is generally obtained when monitoring using the higher frequency component. In addition, we monitored the spread of rust in a steel plate under the influence of two different chemical solutions: NaCl and acid. We found that in the early stages, the decrease in THz reflection was governed by the high-frequency components due to the formation of lepidocrocite, whereas the low-frequency component develops as the proportion of hematite increases with time.


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