scholarly journals Tunable cavity-enhanced terahertz frequency-domain optical Hall effect

2020 ◽  
Vol 91 (8) ◽  
pp. 083903
Author(s):  
Sean Knight ◽  
Stefan Schöche ◽  
Philipp Kühne ◽  
Tino Hofmann ◽  
Vanya Darakchieva ◽  
...  
Keyword(s):  
Hall Effect ◽  
Frequency Domain ◽  
Terahertz Frequency ◽  
Optical Hall Effect

Terahertz ellipsometry and terahertz optical-Hall effect

2011 ◽  
Vol 519 (9) ◽  
pp. 2593-2600 ◽  
Author(s):  
T. Hofmann ◽  
C.M. Herzinger ◽  
J.L. Tedesco ◽  
D.K. Gaskill ◽  
J.A. Woollam ◽  
...  
Keyword(s):  
Hall Effect ◽  
Optical Hall Effect

Terahertz frequency domain spectroscopy for polar alcohol

2011 ◽  
Author(s):  
Shimul C Saha ◽  
James P. Grant ◽  
Yong Ma ◽  
A. Khalid ◽  
Feng Hong ◽  
...  
Keyword(s):  
Frequency Domain ◽  
Terahertz Frequency

scholarly journals Cavity-enhanced optical Hall effect in two-dimensional free charge carrier gases detected at terahertz frequencies

2015 ◽  
Vol 40 (12) ◽  
pp. 2688 ◽  
Author(s):  
S. Knight ◽  
S. Schöche ◽  
V. Darakchieva ◽  
P. Kühne ◽  
J.-F. Carlin ◽  
...  
Keyword(s):  
Charge Carrier ◽  
Hall Effect ◽  
Free Charge Carrier ◽  
Two Dimensional ◽  
Free Charge ◽  
Terahertz Frequencies ◽  
Carrier Gases ◽  
Optical Hall Effect

Terahertz optical Hall effect in monolayer MoS2 in the presence of proximity-induced interactions

2020 ◽  
Vol 101 (24) ◽  
Author(s):  
X. N. Zhao ◽  
W. Xu ◽  
Y. M. Xiao ◽  
J. Liu ◽  
B. Van Duppen ◽  
...  
Keyword(s):  
Hall Effect ◽  
Monolayer Mos2 ◽  
Optical Hall Effect

Optical Hall effect studies on modulation-doped AlxGa1–xAs:Si/GaAs quantum wells

2008 ◽  
Vol 5 (5) ◽  
pp. 1386-1390 ◽  
Author(s):  
T. Hofmann ◽  
C. von Middendorff ◽  
V. Gottschalch ◽  
M. Schubert
Keyword(s):  
Quantum Wells ◽  
Hall Effect ◽  
Optical Hall Effect

Identification tag in the terahertz frequency domain using low-cost and tunable refractive index materials

2013 ◽  
Vol 68 (7-8) ◽  
pp. 415-424 ◽  
Author(s):  
Maher Hamdi ◽  
Frédéric Garet ◽  
Lionel Duvillaret ◽  
Philippe Martinez ◽  
Guy Eymin Petot Tourtollet
Keyword(s):  
Refractive Index ◽  
Frequency Domain ◽  
Low Cost ◽  
Terahertz Frequency ◽  
Tunable Refractive Index

scholarly journals A Feasible Approach to Detect Pesticides in Food Samples Using THz-FDS and Chemometrics

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Qian Chen ◽  
Shengyao Jia ◽  
Jianyuan Qin ◽  
Yong Du ◽  
Zongshan Zhao
Keyword(s):  
Root Mean Square Error ◽  
Frequency Domain ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Density Functional ◽  
Food Samples ◽  
High Spectral Resolution ◽  
Quantitative Detection ◽  
Mean Square ◽  
Terahertz Frequency

The use of pesticides will have an impact on food, organisms, and environment. Specifically, pesticide residues in food will damage human health. Because of its high permeability, low energy, high spectral resolution, and fingerprint characteristics, terahertz frequency-domain spectroscopy has been introduced into the determination of pesticides (imidacloprid, acetamiprid, and triadimefon) residues in food samples (glutinous rice flour, wheat flour, and corn flour) in our present study. These three pesticides exhibit their own absorption peaks in the region of 0.4–1.7 THz. For understanding the origins of these peaks, the experimental data are interpreted by using density functional theory calculations at the level of B3LYP/6-31G (d). It is found that these absorption peaks come from the intramolecular and intermolecular interactions. The absorption peaks of pesticides are still detectable in a mixture of pesticides and food samples when they reach a certain concentration. The results from chemometrics analysis show that quantitative detection of pesticides in food samples is feasible. The partial least squares regression models have high correlation coefficient (>0.99), low root-mean-square error of calibration (<1.5%), low root-mean-square error of cross-validation (<2.4%), and low root-mean-square error of prediction (<2.3%), indicating good quality of prediction for pesticides concentration. Our results prove that the terahertz frequency-domain spectrum combined with chemometrics can be used for the detection of pesticides in food samples.

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