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Denoising and Principal Component Analysis of Amplified Raman Spectra from Red Blood Cells with Added Silver Nanoparticles
المؤلفون المشاركون
Riera, R.
Ferrer-Galindo, L.
Sañu-Ginarte, A. D.
Fleitas-Salazar, N.
Ferrer-Moreno, L. A.
Rosas, R. A.
Pedroza-Montero, M.
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-06-03
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Incubated erythrocytes with and without silver nanoparticles (AgNP) were analyzed by Raman spectroscopy, resulting in two Raman spectra datasets.
AgNP were added to red blood cells (RBC) in order to enhance the Raman signals.
This technique is known as surface-enhanced Raman scattering (SERS).
A comparison was made between the Raman spectra with and without AgNP, to test if the SERS had taken place.
Since Raman and SERS spectra are considered to be cumbersome due to the noises presented, we applied denoising criteria for detection and removal of noises like cosmic rays, shot, and fluorescence contribution.
After this, the principal component analysis (PCA) was performed, in order to reduce the dimensions of the spectra being studied.
Only the main key components necessary for a better interpretation of these spectra were considered.
All of those noises had to be removed prior to the statistical analysis, to make sure the analysis was really based on the Raman measurements and not on other effects.
As a result, RBC Raman spectra with and without AgNP got denoised, obtaining an improvement in its resolution for a better signal reading and data interpretation.
Also, the first principal components (PC) were selected from each dataset under scrutiny, based on the weight of their information and their spectrum readability.
In conclusion, we were able to represent the given reference system with a more affordable and smaller dimension in which information loss was minimal.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ferrer-Galindo, L.& Sañu-Ginarte, A. D.& Fleitas-Salazar, N.& Ferrer-Moreno, L. A.& Rosas, R. A.& Pedroza-Montero, M.…[et al.]. 2018. Denoising and Principal Component Analysis of Amplified Raman Spectra from Red Blood Cells with Added Silver Nanoparticles. Journal of Nanomaterials،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1195087
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ferrer-Galindo, L.…[et al.]. Denoising and Principal Component Analysis of Amplified Raman Spectra from Red Blood Cells with Added Silver Nanoparticles. Journal of Nanomaterials No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1195087
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ferrer-Galindo, L.& Sañu-Ginarte, A. D.& Fleitas-Salazar, N.& Ferrer-Moreno, L. A.& Rosas, R. A.& Pedroza-Montero, M.…[et al.]. Denoising and Principal Component Analysis of Amplified Raman Spectra from Red Blood Cells with Added Silver Nanoparticles. Journal of Nanomaterials. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1195087
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1195087
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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