Blast-induced TBI (bTBI) is a type of traumatic brain injury generated by a shock wave that causes the head to quickly accelerate or decelerate. It has huge challenges in the diagnosis and prognosis due to its absence of significant edema and traumatic areas. The major diagnosis methods for bTBI has some defects such as time-consuming, poor specificity, low sensitivity. Thus, it is highly desirable to establish a rapid and high-sensitivity method for the detection of bTBI. Raman spectroscopy technique has been used in biochemistry due to its label-free and non-destructive. It is expected to detect and monitor the progression and regression of bTBI from molecular perspective. In this paper, the Raman spectra of the hippocampus and hypothalamus tissue were measured at 3h, 6h, 24h, 48h and 72h after mild and moderate bTBI in 2800-3000cm-1 range. The results showed both the two brain areas had a significant difference in intensity of Raman characteristic peaks at 2855, 2885 and 2934cm-1 at different time points compared with the sham group. It demonstrates that the content of the lipids and proteins have been changed in the rat hippocampus and hypothalamus after bTBI, due to the Raman peaks at 2855, 2885 and 2934cm-1 assigning to C-H stretching of lipids and protein. It infers that Raman spectroscopy technique has the potential to be a rapid and effective diagnosis and monitoring method in bTBI clinic.
Brain glioma is the most frequent primary tumor of the nervous system, and has serious adverse effects on public health and social economy. A technique that can be used to precisely detect glioma is highly demanded. Here, we report on that the terahertz time-domain spectroscopy, a rapid, label-free and non-destructive technique, was utilized to probe mouse tissue slices containing glioma. The results show that the glioma can be discriminated in the frequency range of 0.7-1.6 THz on the basis that the refractive index as well as the absorption coefficient of glioma are higher than the normal tissue, which can be attributed to the higher cell density and water content of the glioma. The present work validates that it is feasible to detect glioma with a terahertz time-domain spectroscopy technique.
In this paper, a novel strategy for diagnosis of bTBI is proposed by measuring terahertz (THz) spectroscopy of serum in a rat model. A compressed air-driven shock wave generator was used to establish bTBI model of rats. It was validated by a neurological deficit assessment method. The spectral differences of serum for different degrees of bTBI rats have been demonstrated by THz time-domain spectroscopy (THz-TDS). Moreover, based on the THz spectra of serum, the principal component analysis (PCA) and support vector machine (SVM) were performed to automatically identify the degrees of bTBI. The results indicate that THz spectroscopy could provide a sensitive, rapid and label-free diagnosis method for bTBI.
We demonstrated that the total reflection spectroscopy with the Si container attached on the prism was proved to be a powerful investigative technique. In addition, a new theory was induced to calculate the dielectric responses of several living glial-like cells based on the combination of the single-interface and double-interface ATR model. For the double interface ATR model, the sample was composed of the cell monolayer and the culture medium. For the single-interface ATR model, the sample was composed of the cell monolayer and the air medium after removing all the culture medium. The results showed the cell structure could impact on the dielectric responses in THz region significantly. Furthermore, these promising results suggest that the new method has great potential for the cancer detection in biomedical field.
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