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Breast cancer is one of the leading causes of cancer-related deaths in a global scenario. In the present study, biochemical changes exerted upon Pentoxifylline (PTX) treatment had been appraised in human breast cancer cells using Raman spectroscopy. There are no clinically approved methods to monitor such therapeutic responses available. The spectral profiling is suggestive of changes in DNA, protein and lipid contents showing a linear relationship with drug dosage. Further, multivariate analysis using principal-component based linear-discriminant-analysis (PC-LDA) was employed for classifying the control and the PTX treated groups. These findings support the feasibility of Raman spectroscopy as an alternate/adjunct label-free, objective method for monitoring drug-induced modifications against breast cancer cells.

Early diagnosis and fast detection with a high accuracy rate of lung cancer are important to improve the treatment effect. In this research, an early fast diagnosis and in vivo imaging method for lung adenocarcinoma are proposed by collecting the spectral data from normal and patients’ cells/tissues, such as Fourier infrared spectroscopy (FTIR), UV-vis absorbance, and fluorescence spectra using anthocyanin. The FTIR spectra of human normal lung epithelial cells (BEAS-2B cells) and human lung adenocarcinoma cells (A549 cells) were collected. After the data is cleaned, a feature selection algorithm is used to select important wavelengths, and then, the classification models of support vector machine (SVM) and the grid search method are used to select the optimal model parameters (accuracy: 96.89% on the training set and 88.57% on the test set). The optimal model is used to classify all samples, and the accuracy is 94.37%. Moreover, the anthocyanin was prepared and used for the intracellular absorbance and fluorescence, and the optimized algorithm was used for classification (accuracy: 91.38% on the training set and 80.77% on the test set). Most importantly, the in vivo cancer imaging can be performed using anthocyanin. The results show that there are differences between lung adenocarcinoma and normal lung tissues at the molecular level, reflecting the accuracy, intuitiveness, and feasibility of this algorithm-assistant anthocyanin imaging in lung cancer diagnosis, thus showing the potential to become an accurate and effective technical means for basic research and clinical diagnosis.

This paper reviews the interpretation of impedance and capacitance spectra for different capacitor technologies and discusses how basic electrical characteristics can be inferred from them. The basis of the interpretation is the equivalent circuit for capacitors. It is demonstrated how the model parameters, such as capacitance and equivalent series resistance, can be extracted from the measured spectra. The aspects of measurement accuracy are exemplarily discussed on the measured spectra.