EXPRESS: Correlation and Difference Between Raman Spectral Characteristic and Feature Evaluation for Leukocytes and Tumor Cells

Tumor detection supported by Raman spectroscopy is becoming increasingly popular, yet the relevance of spectral variation and feature selection retains unclear. Here we determined the correlation and difference between spectral characteristic and feature evaluation for leukocytes and tumor cells. Some peaks were found to show noticeable spectral differences, and their intensity distributions were investigated, finding using Log-Normal distribution to describe Raman intensity pattern may be more appropriate. Further the importance of all Raman features was calculated, where some other peak features occupied the top status. By surveying the intensity variation and feature evaluation for those peaks, we concluded the peak with the highest importance does not correspond to the peak location with the most noticeable intensity difference in spectra. Moreover, the peak-intensity-ratio of I<sub>1517</sub>/I<sub>719</sub> associated with protein to nucleic acid level presented the maximum separation, thus it can be recognized as a special indicator to develop an alternative cancer detection. It is inspiring to introduce advanced statistical models into bio-spectroscopic fields but those intrinsic spectral variations rather than classification performance should be valued. Our explorations can provide possibilities to reveal the essences within tumor carcinogenesis based on Raman spectroscopy, further overwhelming the obstacles during the translation into clinical applications.

Download Full-text

Detection of circulating tumor cells in blood by shell-isolated nanoparticle – enhanced Raman spectroscopy (SHINERS) in microfluidic device

Scientific Reports ◽

10.1038/s41598-019-45629-7 ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 4

Author(s):

K. Niciński ◽

J. Krajczewski ◽

A. Kudelski ◽

E. Witkowska ◽

J. Trzcińska-Danielewicz ◽

...

Keyword(s):

Raman Spectroscopy ◽

Tumor Cells ◽

Circulating Tumor Cells ◽

Microfluidic Device

Download Full-text

Diagnostics of tumor cells by combination of Raman spectroscopy and microfluidics

Clinical and Biomedical Spectroscopy and Imaging II ◽

10.1364/ecbo.2011.80870j ◽

2011 ◽

Cited By ~ 1

Author(s):

U. Neugebauer ◽

S. Dochow ◽

C. Krafft ◽

T. Bocklitz ◽

J. H. Clement ◽

...

Keyword(s):

Raman Spectroscopy ◽

Tumor Cells

Download Full-text

Surface-enhanced Raman spectroscopy for the characterization of Vaccinium myrtillus L. bilberries of the Baltic–Nordic regions

European Food Research and Technology ◽

10.1007/s00217-021-03887-8 ◽

2021 ◽

Author(s):

Lina Traksele ◽

Valentinas Snitka

Keyword(s):

Raman Spectroscopy ◽

Silver Nanoparticles ◽

Principal Component ◽

Surface Enhanced Raman Spectroscopy ◽

Vaccinium Myrtillus ◽

Spectral Variation ◽

Data Set ◽

Sers Substrates ◽

Surface Enhanced ◽

Surface Enhanced Raman

AbstractIn this study, an investigation of the wild bilberries (Vaccinium myrtillus L.) of the different Baltic–Nordic regions using surface-enhanced Raman spectroscopy (SERS) combined with principal component analysis (PCA) is presented. The bilberries were collected in Lithuania, Latvia, Finland and Norway. The set of the SERS spectra of the berry extracts (pH ~ 4) were recorded on the silver nanoparticles based SERS substrates. The SERS spectra of the extracts were acquired using 532 nm laser as an excitation source. The morphology of the SERS substrates was evaluated by scanning electron microscopy (SEM) and the presence of the silver nanoparticles was confirmed by the energy-dispersive X-ray spectroscopy (EDX). The enhancement factor (EF) of the silver SERS substrates was found to be 105. It has been shown that a strong fluorescence background, associated with the phenolic compounds found in bilberries, can be subtracted due to the fluorescence-quenching properties of the silver nanoparticles. Therefore, an application of the SERS technique allowed to observe the characteristic peaks of the bilberries and the PCA tool enabled to evaluate the spectral variation across the entire SERS data set. The results presented in this paper show that the SERS technique coupled with PCA chemometric analysis might serve as a complementary method that allows to identify the country of origin of the bilberries based on the spectral differences.

Download Full-text

Detection and Classification of Multi-Type Cells by Using Confocal Raman Spectroscopy

Frontiers in Chemistry ◽

10.3389/fchem.2021.641670 ◽

2021 ◽

Vol 9 ◽

Author(s):

Jing Wen ◽

Tianchen Tang ◽

Saima Kanwal ◽

Yongzheng Lu ◽

Chunxian Tao ◽

...

Keyword(s):

Raman Spectroscopy ◽

Raman Spectrum ◽

Tumor Cells ◽

Cancer Metastasis ◽

Cell Types ◽

Label Free ◽

Analysis Model ◽

Multivariate Statistical ◽

Label Free Detection ◽

Confocal Raman

Tumor cells circulating in the peripheral blood are the prime cause of cancer metastasis and death, thus the identification and discrimination of these rare cells are crucial in the diagnostic of cancer. As a label-free detection method without invasion, Raman spectroscopy has already been indicated as a promising method for cell identification. This study uses a confocal Raman spectrometer with 532 nm laser excitation to obtain the Raman spectrum of living cells from the kidney, liver, lung, skin, and breast. Multivariate statistical methods are applied to classify the Raman spectra of these cells. The results validate that these cells can be distinguished from each other. Among the models built to predict unknown cell types, the quadratic discriminant analysis model had the highest accuracy. The demonstrated analysis model, based on the Raman spectrum of cells, is propitious and has great potential in the field of biomedical for classifying circulating tumor cells in the future.

Download Full-text

MICRO RAMAN SPECTROSCOPIC ANALYSIS OF LOBULAR CARCINOMA TISSUES

Asian Journal of Pharmaceutical and Clinical Research ◽

10.22159/ajpcr.2018.v11i9.26805 ◽

2018 ◽

Vol 11 (9) ◽

pp. 172

Author(s):

Ambili Reveendran ◽

Sanoj Varghese ◽

Senthil Kumar V ◽

Venkatesan Ranganathan ◽

Karthikeyan Tm

Keyword(s):

Raman Spectroscopy ◽

Raman Spectra ◽

Intensity Ratio ◽

Prophylactic Mastectomy ◽

Lobular Carcinoma ◽

Research Work ◽

Intensity Variation ◽

Tumor Formation ◽

Biochemical Changes ◽

Spectroscopic Techniques

Objective: For the past 20 decades, vibrational spectroscopy based studies are undergoing around the world to detect cancer at the earliest stage. Since vibrational spectroscopic techniques have the ability to measure the biochemical changes occur during the time of mutation, which may be the reason for cell proliferation. Biochemical changes may appear in the tissues and blood before the tumor formation. The objective of this work is to study the potential of Raman spectroscopy to detect biochemical changes in the normal and malignant tissues.Methods: In this research work, 10 Raman spectra were acquired from ex vivo samples of human breast tissue (normal and lobular carcinoma) of 10 patients after the removal during prophylactic mastectomy surgery and biopsy. Data analysis was performed using k-means clustering using SPSS and intensity ratio analysis.Result: Intensity variation in the Raman spectra of normal and malignant tissues clearly indicate that Raman spectra are capable to distinguish between normal and malignant tissues. A number of peaks are more in the case of malignant tissues and the presence of amide I and amide III indicate the predominance of protein in malignant tissues. Intensity ratio analysis and K-means clustering analysis also show the significance of protein in lobular carcinoma tissues.Conclusion: This research work proves the potential of Raman spectroscopy to differentiate between the normal breast tissues and lobular carcinoma tissues.

Download Full-text

Fiber Reshaping-Based Refractive Index Sensor Interrogated through Both Intensity and Wavelength Detection

Sensors ◽

10.3390/s19112477 ◽

2019 ◽

Vol 19 (11) ◽

pp. 2477

Author(s):

Peng Ji ◽

Shiru Jiang ◽

Sang-Shin Lee

Keyword(s):

Refractive Index ◽

Intensity Variation ◽

Intensity Difference ◽

Wavelength Shift ◽

Refractive Index Sensor ◽

Interaction Length ◽

Surrounding Environment ◽

Wide Range ◽

Mmi Coupler ◽

Wavelength Detection

A fiber reshaping-based refractive index (RI) sensor is proposed relying on both optical intensity variation and wavelength shift. The objective of this study is to completely reshape the core and to ultimately mimic a coreless fiber, thereby creating a highly efficient multimode interference (MMI) coupler. Thus, propagation modes are permitted to leak out into the cladding and eventually escape out of the fiber, depending on the surrounding environment. Two interrogation mechanisms based on both the intensity variation and wavelength shift are employed to investigate the performance of the RI sensor, with the assistance of leaky-mode and MMI theories. By monitoring the output intensity difference and the wavelength shift, the proposed RI sensor exhibits high average sensitivities of 185 dB/RIU and 3912 nm/RIU in a broad range from 1.339 to 1.443, respectively. The operating range and sensitivity can be adjusted by controlling the interaction length, which is appealing for a wide range of applications in industry and bioscience research.

Download Full-text