Non-destructive Detection for Foreign Bodies of Tea Stalks in Finished Tea Products Using Terahertz Spectroscopy and Imaging

2022 ◽  
pp. 104018
Author(s):  
Xudong Sun ◽  
Dongdong Cui ◽  
Yun Shen ◽  
Wenping Li ◽  
Jiahua Wang
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Prashanth Gopalan ◽  
Yunshan Wang ◽  
Berardi Sensale-Rodriguez

AbstractWhile terahertz spectroscopy can provide valuable information regarding the charge transport properties in semiconductors, its application for the characterization of low-conductive two-dimensional layers, i.e., σs <  < 1 mS, remains elusive. This is primarily due to the low sensitivity of direct transmission measurements to such small sheet conductivity levels. In this work, we discuss harnessing the extraordinary optical transmission through gratings consisting of metallic stripes to characterize such low-conductive two-dimensional layers. We analyze the geometric tradeoffs in these structures and provide physical insights, ultimately leading to general design guidelines for experiments enabling non-contact, non-destructive, highly sensitive characterization of such layers.


2021 ◽  
pp. 141-157
Author(s):  
Amreena Jan ◽  
R. Pandiselvam ◽  
Anjineyulu Kothakota ◽  
N. U. Sruthi ◽  
S. V. Ramesh

2021 ◽  
Vol 8 ◽  
Author(s):  
Xudong Sun ◽  
Jiajun Li ◽  
Yun Shen ◽  
Wenping Li

Non-destructive testing of low-density and organic foreign bodies is the main challenge for food safety control. Terahertz time-domain spectroscopy (THz-TDS) and imaging technologies were applied to explore the feasibility of detection for insect foreign bodies in the finishing tea products. THz-TDS of tea leaves and foreign bodies of insects demonstrated significant differences in terms of time domain and frequency signals in the range of 0.3–1.0 THz. These signals were corrected by the use of adaptive iteratively reweighted penalized least squares (AirPLS), asymmetric least squares (AsLS), and baseline estimation and de-noising using sparsity (BEADS) for reducing baseline drift and enhancing effective spectral information. The K-nearest neighbor (KNN) and partial least squares discrimination analysis (PLS-DA) models showed the best performance after AirPLS correction with the prediction accuracy of 98 and 100%, respectively. In addition, the locations and outlines of insect bodies could be clearly presented via the THz-TDS image. These results suggested that THz-TDS spectroscopy and imaging provide an alternative tool for the detection of insect foreign bodies in finishing tea products.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Mindaugas Karaliūnas ◽  
Kinan E. Nasser ◽  
Andrzej Urbanowicz ◽  
Irmantas Kašalynas ◽  
Dalia Bražinskienė ◽  
...  

Impact ◽  
2020 ◽  
Vol 2020 (1) ◽  
pp. 24-26
Author(s):  
Yasuyuki Hirakawa

Vulcanisation is a chemical process that is used to reinforce rubber, and the process makes it suitable for use in a number of products and industries. Both good mixing conditions and filler dispersion are essential to keep high-quality of rubber products; however, they are quite difficult to be evaluated by conventional techniques. Prof Yasuyuki Hirakawa is based at the Department of Electrical and Electronic Engineering, National Institute of Technology (KOSEN), Kurume College. He is working to further evaluate ways to enhance rubber's productivity and performance. This is being done using terahertz (THz) radiation and electrical current, which can evaluate and inspect materials in a non-destructive way.


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