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Characteristics of shell-isolated nanoparticle-enhanced Raman spectroscopy of breast fibroadenoma and its clinical significance / 吉林大学学报(医学版)
Article em Zh | WPRIM | ID: wpr-491032
Biblioteca responsável: WPRO
ABSTRACT
Objective To identify the normal breast tissue and breast fibroadenoma tissue by shell-isolated nanoparticle-enhanced Raman spectroscopy (SHINERS),and to explore the biological characteristics of FD and the identification method by discussing its spectroscope characteristics.Methods The frozen section of 26 patients (all female,aged 19-59 years)were obtained by routine surgical resection.9 cases of normal tissue and 17 cases of breast fibroadenoma tissue were detected by Raman spectroscopy and then SHINERS technique was utilized.A total of 243 Raman and 273 SHINERS spectra were obtained.All the spectra were dealt with baseline corrected by fitting and subtracting a third-order polynomial and then smoothed with a 15-point Adjacent-Averaging.Results The characteristic peaks of normal breast tissue appeared in 1 090,1 157,1 262,1 300,1 442,1 658,1 745,and 1 874 cm-1 .After adding SHINs, some peaks shifted in 2 - 3 cm-1 , the relative strengths of 1 090 and 1 157 cm-1 were significantly increased,and the 1 496 cm-1 characteristic peak appeared.The main characteristic peaks of breast fibroadenoma appeared in 751,880,930,880,1 262,1 442,1 579,1 658,and 1 745 cm-1;one of the dominant characteristic peak should belong to lipids,but it can be seen that amideⅠ characteristic peak of protein became more significant.Conclusion Raman spectra can discover the differences of the characteristic peaks of amide Ⅰ between breast fibroadenoma and normal breast tissues. By virtue of different enhancement effects of SHINs to Raman specific peaks of the various tissues, breast fibroadenoma can be distinguished from normal tissue successfully.
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Texto completo: 1 Base de dados: WPRIM Tipo de estudo: Prognostic_studies Idioma: Zh Revista: Journal of Jilin University(Medicine Edition) Ano de publicação: 2014 Tipo de documento: Article
Texto completo: 1 Base de dados: WPRIM Tipo de estudo: Prognostic_studies Idioma: Zh Revista: Journal of Jilin University(Medicine Edition) Ano de publicação: 2014 Tipo de documento: Article
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