The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.
Raman Spectroscopy of Blood and Blood Components
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease
Cappello, V., Marchetti, L., Parlanti, P., Landi, S., Tonazzini, I., Cecchini, M., Piazza, V., & Gemmi, M. (2016) · Scientific Reports · doi:10.1038/s41598-016-0001-8 · Cited by 13,097
Raman spectra of pyridine adsorbed at a silver electrode
Fleischmann, M., Hendra, P. J., & McQuillan, A. J. (1974) · Chemical Physics Letters · doi:10.1016/0009-2614(74)85388-1 · Cited by 7,172
Surface raman spectroelectrochemistry
Jeanmaire, D. L., & Van Duyne, R. P. (1977) · Journal of Electroanalytical Chemistry and Interfacial Electrochemistry · doi:10.1016/s0022-0728(77)80224-6 · Cited by 4,738
Surface‐Enhanced Raman Spectroscopy: Concepts and Chemical Applications
Schlücker, S. (2014) · Angewandte Chemie International Edition · doi:10.1002/anie.201205748 · Cited by 2,417
Spectroscopy of Single Hemoglobin Molecules by Surface Enhanced Raman Scattering
Xu, H., Bjerneld, E. J., Käll, M., & Börjesson, L. (1999) · Physical Review Letters · doi:10.1103/physrevlett.83.4357 · Cited by 2,362
Guo, J., Huang, F., Liu, J., Chen, Y., Wang, W., Cao, B., Zou, Z., Liu, S., Pan, J., Bao, C., et al. (2016) · Scientific Reports · doi:10.1038/srep21230 · Cited by 2,148
Studying single living cells and chromosomes by confocal Raman microspectroscopy
Puppels, G. J., de Mul, F. F. M., Otto, C., Greve, J., Robert-Nicoud, M., Arndt-Jovin, D. J., & Jovin, T. M. (1990) · Nature · doi:10.1038/347301a0 · Cited by 920
Micro-Raman Spectroscopy Detects Individual Neoplastic and Normal Hematopoietic Cells
Chan, J. W., Taylor, D. S., Zwerdling, T., Lane, S. M., Ihara, K., & Huser, T. (2006) · Biophysical Journal · doi:10.1529/biophysj.105.066761 · Cited by 679
Amini, A., & Cheng, C. (2013) · Scientific Reports · doi:10.1038/srep03316 · Cited by 594
Resonance Raman spectra of heme proteins. Effects of oxidation and spin state
Spiro, T. G., & Strekas, T. C. (1974) · Journal of the American Chemical Society · doi:10.1021/ja00809a004 · Cited by 580
Cited by
Progress and challenges in the diagnosis of dementia: a critical review
Paraskevaidi, M., Martin-Hirsch, P. L., & Martin, F. L. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.8b00007 · Cited by 31
Metadata
- Authors
- Atkins, C. G., Buckley, K., Blades, M. W., & Turner, R. F. B.
- Venue
- Applied Spectroscopy
- Publisher
- SAGE Publications
- Published
- 2017-04-11
- Volume
- 71
- Issue
- 5
- Pages
- 767-793
- ISSN
- 0003-7028 (ISSN-L)
- 1943-3530
- OpenAlex
- W2606314294
- Cited by
- 292
- References
- 121
- FWCI
- 11.24
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Raman Spectroscopy of Blood and Blood Components. https://app.cochat.ai/papers/10.1177/0003702816686593
- The paper
- Atkins, C. G., Buckley, K., Blades, M. W., & Turner, R. F. B. (2017). Raman Spectroscopy of Blood and Blood Components. Applied Spectroscopy. https://doi.org/10.1177/0003702816686593
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.