The inevitable noises and oscillation of generated terahertz (THz) signal subject to mechanism of hardware could distort and affect optical properties of the measured materials. Several well-known techniques used to attenuate oscillation and noises could achieve expectation. In this work, a piece of fractal artwork was chosen as the sample. Double Gaussian filtered inverse filtering (DGIF) and Hanning window inverse filtering (HIF) deconvolution techniques were employed to remove the oscillation of raw signal and ripples of THz B-scan image. A technique of composite multiscale entropy (CMSE) on complexity assessment of time series was introduced to compare the entropy profiles of the raw signal and two deconvovled signals.
The authenticity problem of honey with difficult identification and great economic value highlights the certain limitations of the existing examination methods to distinguish the inauthentic honey. Terahertz technique is sensitive to water and has abundant information about saccharides’ intermolecular interactions . This paper is tried to determine high-fructose-syrup content of Acacia honey by terahertz technique combined with chemometric methods. RMSEC and RMSEP of PLS model was 0.0967 and 0.108, respectively, confirming the reliability of the technique. This work shows that it was possible to determine high-fructose-syrup content of Acacia honey by terahertz technique.
Conference Committee Involvement (1)
Sensing Technologies for Biomaterial, Food, and Agriculture 2013