Résumé
Objective To preliminarily explore the application of terahertz spectroscopy in the early detection of lung cancer by comparing the differences among lung cancer tissues,paracancerous tissues,and normal lung tissues with terahertz spectroscopy and screen the suitable terahertz frequency for specific diagnosis of lung cancer.Methods Thirty groups of lung tissue samples from non-small cell lung cancer patients at stage of Ⅰ to Ⅲ A were collected,and each group contained lung cancer tissue,paracancerous tissues,and normal lung tissue from the same patient.These lung cancer specimens included 17 cases of adenocarcinoma,10 cases of squamous cell carcinoma,2 cases of large cell lung cancer,and 1 case of sarcomatoid carcinoma.Terahertz spectroscopy from 0.2 THz to 2.0 THz was used to detect these tissue samples,and the absorption coefficient was compared.Results ① The absorption coefficient was significantly higher in the lung cancer tissues than the normal lung tissues.② Terahertz spectroscopy at a frequency of 0.8 to 1.4 THz may have the specific diagnostic value of lung cancer.Conclusion Since the absorption rate is higher in the lung cancer than the normal lung tissue,which is suggested that terahertz spectroscopy may be regarded as a novel non-invasive diagnostic approach for lung cancer.The specific diagnostic value of the terahertz frequency may be 1.4-2.0 THz for lung cancer.
Résumé
Objective To study the vibration frequencies and resonant peaks of different molecular groups in anti-diabetic drugs and to investigate the absorption spectra of these drugs in the range of terahertz, so as to accurately and efficiently identify similar drugs and provide foundation for understanding the contribution of such vibration in different molecular groups to pharmacology. Methods Using terahertz time domain spectroscopy (THz-TDS), six kinds of similar diabetes pills for treating diabetes mellitus (DM), including gliquidone, glipizide, gliclazide, glimepiride, repaglinide and metformin were tested to obtain their absorption spectra from 0.3~3.0 THz. Support vector machines (SVM) method was employed to separate these anti-diabetic drugs by selecting the experimental data from 1.5~2.0 THz. Results For gliquidone, glipizide, gliclazide, and glimepiride, an obvious resonance peak was found at 1.37 THz. According to the THz spectra, repaglinide and metformin could be easily separated from sulfonylurea drugs. Furthermore, with the help of SVM, the accuracy of discrimination for four kinds of sulfonylurea could reach 100%. Conclusions THz technology, as a new testing method, shall play a positive role in the drugs for their identification, quality control and distinguishing their chemical bonds/functional group.