Literature DB >> 28398071

Raman Spectroscopy of Blood and Blood Components.

Chad G Atkins1,2, Kevin Buckley1,3, Michael W Blades2, Robin F B Turner1,2,4.   

Abstract

Blood is a bodily fluid that is vital for a number of life functions in animals. To a first approximation, blood is a mildly alkaline aqueous fluid (plasma) in which a large number of free-floating red cells (erythrocytes), white cells (leucocytes), and platelets are suspended. The primary function of blood is to transport oxygen from the lungs to all the cells of the body and move carbon dioxide in the return direction after it is produced by the cells' metabolism. Blood also carries nutrients to the cells and brings waste products to the liver and kidneys. Measured levels of oxygen, nutrients, waste, and electrolytes in blood are often used for clinical assessment of human health. Raman spectroscopy is a non-destructive analytical technique that uses the inelastic scattering of light to provide information on chemical composition, and hence has a potential role in this clinical assessment process. Raman spectroscopic probing of blood components and of whole blood has been on-going for more than four decades and has proven useful in applications ranging from the understanding of hemoglobin oxygenation, to the discrimination of cancerous cells from healthy lymphocytes, and the forensic investigation of crime scenes. In this paper, we review the literature in the field, collate the published Raman spectroscopy studies of erythrocytes, leucocytes, platelets, plasma, and whole blood, and attempt to draw general conclusions on the state of the field.

Entities:  

Keywords:  Blood; Raman spectroscopy; blood components; hemoglobin

Mesh:

Substances:

Year:  2017        PMID: 28398071     DOI: 10.1177/0003702816686593

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  25 in total

1.  Integration of diffraction phase microscopy and Raman imaging for label-free morpho-molecular assessment of live cells.

Authors:  Rishikesh Pandey; Renjie Zhou; Rosalie Bordett; Ciera Hunter; Kristine Glunde; Ishan Barman; Tulio Valdez; Christine Finck
Journal:  J Biophotonics       Date:  2018-12-13       Impact factor: 3.207

2.  Biodegradable nanofiber-based piezoelectric transducer.

Authors:  Eli J Curry; Thinh T Le; Ritopa Das; Kai Ke; Elise M Santorella; Debayon Paul; Meysam T Chorsi; Khanh T M Tran; Jeffrey Baroody; Emily R Borges; Brian Ko; Asiyeh Golabchi; Xiaonan Xin; David Rowe; Lixia Yue; Jianlin Feng; M Daniela Morales-Acosta; Qian Wu; I-Ping Chen; X Tracy Cui; Joel Pachter; Thanh D Nguyen
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-23       Impact factor: 11.205

3.  Blood species identification based on deep learning analysis of Raman spectra.

Authors:  Shan Huang; Peng Wang; Yubing Tian; Pengli Bai; DaQing Chen; Ce Wang; JianSheng Chen; ZhaoBang Liu; Jian Zheng; WenMing Yao; JianXin Li; Jing Gao
Journal:  Biomed Opt Express       Date:  2019-11-06       Impact factor: 3.732

4.  Blood identification at the single-cell level based on a combination of laser tweezers Raman spectroscopy and machine learning.

Authors:  Ziqi Wang; Yiming Liu; Weilai Lu; Yu Vincent Fu; Zhehai Zhou
Journal:  Biomed Opt Express       Date:  2021-11-12       Impact factor: 3.732

5.  Label-free hematology analysis method based on defocusing phase-contrast imaging under illumination of 415 nm light.

Authors:  Duan Chen; Ning Li; Xiuli Liu; Shaoqun Zeng; Xiaohua Lv; Li Chen; Yuwei Xiao; Qinglei Hu
Journal:  Biomed Opt Express       Date:  2022-08-15       Impact factor: 3.562

6.  Analyzing the serum of hemodialysis patients with end-stage chronic kidney disease by means of the combination of SERS and machine learning.

Authors:  Lyudmila A Bratchenko; Sahar Z Al-Sammarraie; Elena N Tupikova; Daria Y Konovalova; Peter A Lebedev; Valery P Zakharov; Ivan A Bratchenko
Journal:  Biomed Opt Express       Date:  2022-08-24       Impact factor: 3.562

7.  Discriminant Analysis PCA-LDA Assisted Surface-Enhanced Raman Spectroscopy for Direct Identification of Malaria-Infected Red Blood Cells.

Authors:  Gunganist Kongklad; Ratchapak Chitaree; Tana Taechalertpaisarn; Nathinee Panvisavas; Noppadon Nuntawong
Journal:  Methods Protoc       Date:  2022-06-10

8.  New Insights into the Multivariate Analysis of SER Spectra Collected on Blood Samples for Prostate Cancer Detection: Towards a Better Understanding of the Role Played by Different Biomolecules on Cancer Screening: A Preliminary Study.

Authors:  Vlad Cristian Munteanu; Raluca Andrada Munteanu; Diana Gulei; Radu Mărginean; Vlad Horia Schițcu; Anca Onaciu; Valentin Toma; Gabriela Fabiola Știufiuc; Ioan Coman; Rareș Ionuț Știufiuc
Journal:  Cancers (Basel)       Date:  2022-06-30       Impact factor: 6.575

9.  Atomic force microscopy and Raman spectra profile of blood components associated with exposure to cigarette smoking.

Authors:  Alexel J Burgara-Estrella; Mónica A Acosta-Elías; Osiris Álvarez-Bajo; Erika Silva-Campa; Aracely Angulo-Molina; Iracema Del C Rodríguez-Hernández; Héctor M Sarabia-Sainz; Víctor M Escalante-Lugo; Martín R Pedroza-Montero
Journal:  RSC Adv       Date:  2020-03-24       Impact factor: 4.036

Review 10.  Nanoscale Changes on RBC Membrane Induced by Storage and Ionizing Radiation: A Mini-Review.

Authors:  Andrea M López-Canizales; Aracely Angulo-Molina; Adriana Garibay-Escobar; Erika Silva-Campa; Miguel A Mendez-Rojas; Karla Santacruz-Gómez; Mónica Acosta-Elías; Beatriz Castañeda-Medina; Diego Soto-Puebla; Osiris Álvarez-Bajo; Alexel Burgara-Estrella; Martín Pedroza-Montero
Journal:  Front Physiol       Date:  2021-06-04       Impact factor: 4.566

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