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목적 : To demonstrate the potential of the practical application for detecting or predicting asymptomatic breast cancer from human tears using a portable Raman spectrometer with an identification algorithm based on multivariate statistics.
방법 : Human tears were collected from 5 healthy control patients (41.2 ± 8.1 yr) and 5 patients with breast cancer (47.6 ± 7.6 yr). SERS spectra of tear fluids taken from patients with breast cancer in a clinical setting were measured by a handheld Raman spectrometer Mira DS (Metrohm Ag, Switzerland) with the Au/HCP-PS monolayer SERS chip. All the data analyses were performed with R statistical software
결과 : Both groups showed the following distinctive Raman peaks28–31: O–P–O stretching and cytosine, uracil, and thymine in DNA at 786 cm–1, pyrimidine at 791 cm–1, tyrosine at 906 cm–1, collagen at 920 cm–1, phenylalanine at 1002 cm–1, carotenoids at 1006 cm–1, tryptophan at 1080 cm–1, tryptophan ring breathing at 1199 cm–1, and C=O stretching at 1600 cm–1. Because the two groups showed different SERS profiles for these Raman peaks, they were likely to be used as a biomarker for identifying the presence of breast cancer.
결론 : We demonstrated the great potential in practical applications through the detection or prediction of the asymptomatic breast cancer from human tear fluids using a portable Raman spectrometer device with a multivariate statistics-based identification method
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