Blood Analysis Using Raman Spectroscopy
What’s in my food? Good question Dracula – something we all probably question at some point or another when trying out a new dish. We may even ask ourselves sometimes, what’s in Dracula’s food – our blood.
As well as proving a tasty and essential snack for the likes of Dracula, blood can also tell us a lot about our own body’s health. Blood is the fluid that circulates around our body providing nutrients, oxygen, and waste removal. On average, a human contains about 5 litres of blood with the heart pumping around 240 million litres in a person’s average lifetime.
In a sample of blood, plasma makes up just over half of it, plasma is an aqueous solution made up mostly of water and proteins which serve many important functions in the body. The main components of the remaining blood are made up of three types of blood cells; red blood cells (responsible for carrying oxygen), white blood cells (responsible for fighting infections), and platelets (small cells to help blood clotting in wounds).
Blood can be a good indication of someone’s health, and Raman spectroscopy is a great technique for investigating it. There are a few ways Raman can be used in blood analysis, firstly it can be used to monitor any changes in blood bags for quality control before transfusion, and secondly Raman spectra are useful in aiding disease diagnosis. Numerous articles have been published on Raman spectroscopy’s ability to detect numerous health issues via blood e.g., cancers, viruses such as COVID-19, bacterial and fungal infections, and neurodegenerative disorders such as Huntington’s disease.1–5 Raman spectroscopy is particularly suited to analysing blood due to its high sensitivity for biomolecules, rapid analysis and results, lack of sample prep, and non-destructive nature.
Figure 1: Plasma vs serum
The best way to analyse blood via Raman spectroscopy is by analysing the plasma or the serum. Plasma, as mentioned, is an aqueous solution which is separated from the rest of the blood components by centrifugation in anti-coagulant tubes. Serum is the liquid that remains after the blood has clotted, to isolate serum a blood sample is allowed to clot and then centrifuged with the remaining liquid supernatant the serum. Serum is most widely used in research due to the more efficient removal of red blood cells resulting in more volume per unit of blood. Both are usually studied with a 785 nm laser line, or further into the NIR, due to the fluorescence seen with visible lasers in the region of 600-700 nm e.g., 638 nm and the resonance Raman from β-carotene at 532 nm and 475 nm excitation.
Within plasma and serum, there are globulin and albumin proteins. The most abundant protein is human albumin (HA), making up approx. half of the protein content. It acts as a transport protein, supports the osmotic pressure, and contributes to metabolic processes. Since albumin is a large food group for Dracula, we decided to have a look at its spectra and tell you more about it.
Figure 2: Raman spectrum of human serum albumin with band assignments.6
The spectral region of interest, shown in Figure 2, is commonly termed the fingerprint region. This is because the spectra are highly specific and therefore provide great insight into the sample. We can see a series of bands which can be attributed to stretching and deformation vibrations within the molecule. The strong peak at 1004 cm-1 is phenylalanine, an amino acid which is a building block of proteins. This peak is frequently used in Raman spectroscopy as a calibration/reference point as unlike other Raman bands its position does not suffer from interference from other molecules such as lipids, water, and nucleic acids. This is extremely useful when looking at subtle peak changes as it proves these are real shifts if the phenylalanine peak remains constant. We see the presence of other amino acids as well as bands from amides and other functional groups.
Did that answer your question Dracula – still hungry? If you’re feeling starved of Raman spectroscopy, please visit our learning centre or take a bite into our application notes.
- J. González-Solís, Discrimination of different cancer types clustering Raman spectra by a super pragmatic stochastic network approach, PLoS One, 2019, 14, e0213621.
- A. Huefner et al., Serum Raman spectroscopy as a diagnositc tool in patients with Huntington’s diesease, Chem. Sci., 2020, 11, 525–533.
- G. W. Auner et al., Applications of Raman spectroscopy in cancer diagnosis, Cancer Metastasis Rev., 2018, 37, 691.
- G. Yin et al., An efficient primary screening of COVID-19 by serum Raman spectroscopy, J. Raman Spectrosc., 2021, 52, 949–958.
- N. Arend et al., High-throughput screening Raman spectroscopy platform for label-free cellomics Anal. Chem., 2020, 92, 10560–10568.
- N. C. Dingari et al., Raman spectroscopy provides a powerful diagnostic tool for accurate determination of albumin glycation, PLoS One, 2012, 7, e32406.
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