Current Advanced on Raman Spectroscopy: History
View Latest Version
Please note this is an old version of this entry, which may differ significantly from the current revision.
Contributor:
Elvin Allakhverdiev
,
Bekzhan Kossalbayev
,
,
Oleg Rodnenkov
,
Tamila Martynyuk
,
Georgy Maksimov
,
Saleh Alwasel
,
Tatsuya Tomo
,
Suleyman Allakhverdiev

In recent decades, Raman spectroscopy (RS) has been used in several studies on animal cells. The method is popular among biophysicists and life science researchers. RS allows for the study of living cells in their natural conditions without any damage. RS is a well-known approach used in many of biomedical studies. Since biomolecules are involved, the main obstacle to the use of such methods in life science research is the low signal of Raman scattering. There are a number of modifications of RS that allow Raman scattering to be improved. There are existing approaches to detect Raman signals not only on the surface of human skin, but also inside the vasculature and various organs of patients.

  • Raman spectroscopy (RS)
  • carotenoids
  • Microalgae
  • Lipids
  • Cancer cells

1. The Principles of the Method of Raman Spectroscopy

Figure 1 shows the energy transition of Rayleigh and Raman scattering. The former (Rayleigh) is based on the principle that the frequency of the absorbed and scattered photon does not change-elastic scattering. In the latter (Raman), on the other hand, there is a shift in frequency of the scattered photon (change in energy or change in wavelength) -inelastic scattering. It is also essential to note that Raman scattering is divided into Stokes and anti-Stokes shifts. The Stokes shift is more likely because it is associated with the shift of the binding maxima to the longer wavelengths (the energy and frequency of the scattered photon are correspondingly lower than those of the absorbed photon - see Figure 1). The anti-Stokes shift, on the other hand, is less likely. It results from the shift of the binding maxima to the shorter wavelengths (energy and frequency of the scattered photon are correspondingly higher than those of the absorbed photon - see Figure 1).
Cells 11 00386 g002 550
Figure 1. Energy transition of Rayleigh and Raman scattering.
In order to increase the sensitivity and resolution capability of the method, scientists use the approach based on the surface plasmon resonance effect. The electrons on the surface of the metal (silver and/or gold nanoparticles) oscillate. At a certain point, the frequency of the photon resonates with the frequency of the surface electrons. The surface plasmons substantially enhance the local electric field of the incident light (on the molecules near the surface’s vicinity of the metal nanoparticles) [1]. In recent decades, this effect has been used to modify the method of RS to apply it in biological and medical research.

2. Raman Spectroscopy and Its Modifications: Advantages and Use

There are many variants of Raman spectroscopy, all of which use the phenomenon of Raman scattering in different ways. The choice of which variant to use for a particular measurement depends on inherent factors, such as the complexity of the sample and/or the concentrations of the target analyses.
The popularity of the RS method among biophysicists around the world is explained by a list of advantages of the method. RS is a non-invasive, rapid, and sensitive method for in vitro investigations [2],[3],[4]. Usually researchers face an obstacle—the biomolecules are present in the cell in very low concentrations, so the Raman scattering/signal is very low. To enhance the Raman scattering signal, the modifications of the method can be used (see Table 1), such as surface-enhanced Raman spectroscopy (SERS), coherent anti-Stokes Raman scattering (CARS), surface-enhanced Raman Spectroscopy (SERCS), and micro-Raman spectroscopy.
Table 1. The list of modifications of RS with details of the objects.
Modification of Method Object Biomolecules Reference/Link Number

Coherent anti-Stokes Raman scattering (CARS) and microscopy

microalgae

lipids, carotenoids

[5],[6],[7],[8]

Confocal Raman microscopy

microalgae, algae

lipids

[9],[10]

Raman micro spectroscopy

algae, animals

lipids, carotenoids

[11],[12]

Resonance Raman spectroscopy (RRS)

bacteria, microalgae

carotenoids

[10],[13],[14]

Single-cell Raman spectroscopy (SCRS)

microalgae

lipids

[15],[16]

Surface-enhanced Raman spectroscopy (SERS)

animals, bacteria, microalgae

lipids, carotenoids, proteins

[17],[18],[19],[2],[7],[20]
As mentioned earlier, there is a special mechanism of Raman scattering (plasmon resonance) enhancement for modifications such as SERS. Moreover, each modification of the method can solve a specific task/objective.
The following sections describe the most commonly used types of RS.

2.1. Surface-Enhanced Raman Spectroscopy (SERS)

There are several clinical trials in progress with SERS. Sample types include blood [21],[22], saliva [23], and tears. As reported in articles from two studies, SERS had a susceptibility of 80.7% and 84.1% in detecting squamous cell carcinoma of the oral cavity by analysing blood [10]. Therefore, the tests show that SERS biofluid is suitable as a sample and relies on metal nanoparticles for signal amplification. The status of clinical trials is important for the understanding and future prospect of SERS and Raman spectroscopy [24]

2.2. Coherent Anti-Stokes Raman Scattering (CARS)

Conventional Raman spectroscopy uses only a CW laser to generate spectra, while CARS and SRS use two pulsed lasers with different wavelengths to enable nonlinear optical motions. CARS microscopy can form an optical contrast of endogenous chemical structures, which is popular in various fields of biomedicine as it can provide a high-resolution image. For example, CARS microscopy has been used to visualise tissue structures, skin [25],[26], lung, kidney, and retina [27]. Consequently, CARS has been able to obtain micron-level images of brain slices, which has worked well in cancer diagnosis [28]. Concrete prostatectomy is considered the most popular method in civilised countries for curing members of the stronger sex with clinically localised prostate cancer. In this surgery, the entire prostate is removed, but the urinary ball is reunited with the urethra [29].

2.3. Resonance Raman Spectroscopy (RRS)

One of the drawbacks of Raman spectroscopy is the low signal intensity. This drawback can be corrected with RRS. By matching the wavelength of laser excitation to the electrical absorption maximum of a particular chemical, the Raman signal of certain bands is enhanced. The study was used for a multifaceted study of haemoglobin, and the release of cytochrome-c from mitochondria during apoptosis was also studied. Okada et al. [30] as well as other scientists have used RRS to perform unlabelled studies of molecular dynamics in apoptotic cells. Observation of mitochondrial membrane stained with the dye JC-1 using RRS confirmed that the observed release of cytochrome was due to apoptosis.

2.4. Spatially Offset Raman Spectroscopy (SORS)

Although SORS technology may not be approved in any way for uniform diagnosis of patients, there are significant prospects for the eventual use of this technique in the clinic. Recent advances in medicine have shown SORS can be used in blood testing, such as assessing the quality of erythrocytes during blood transfusion in patients. Vardaki et al. [31] have shown that SORS is able to profile changes in oxygenation when stored for 6 weeks. It is well known that in blood transfusions, the chemical composition of blood units changes differently from time to time. For this reason, a few units over the years are by no means determinative of the relationship between erythrocytes properties. Feng et al. [32] used SORS to measure subcortical bone and biochemical changes with increasing depth in intact mouse bone.

3. Raman Spectroscopy for Photosynthetic Studies

Photosynthesis is the most basic and important process on earth. It is the natural way of synthesising carbohydrates using solar energy. Scientists from all over the world are exploring it with a number of applications, one of which is Raman spectroscopy. Findings from a number of recent studies on RS applied to photosynthetic organisms are shared below.
Mishra et al. [33] recently conducted their study on Antarctic lichens using RS. Antarctic lichens are organisms that can change their metabolism and photosynthetic activity in response to changing environmental conditions. Hydration and dehydration are the investigated triggers for the activation/deactivation of photosynthetic processes in the lichens. It has been revealed that photosynthetic activity is activated quite rapidly, which contributes to the hypothesis that the photosynthetic apparatus and carotenoids are not synthesised de novo in the early stages of photosynthesis. Another important discovery made using RS, the bands/features of the pigment scytonemin, are present in the Raman spectra of one of the lichens studied. There is a hypothesis that this pigment plays a photoprotective role in the photobionts of algae and cyanobacteriae.

4. Raman Spectroscopy for Analytical Studies

There is an ongoing need for fast and accurate detection of melamine in dairy products. Melamine is a compound that can be toxic above a certain level when added to food. Therefore, it is important to propose an approach that allows accurate detection of the toxic compound in food products. Liu et al. [34] proposed the SERS method using silver nanoparticles (AgNPs). Not only SERS but also a colourimetric method was used for this idea. The results showed that the colourimetric method can lead to false-positives in detecting the presence of different compounds (AgNPs). The SERS method, on the other hand, can overcome this limitation. Importantly, the scientists suggested using both methods in tandem to achieve accurate and rapid detection of melamine in dairy products.
Fentanyl is one of the most commonly used opioids. However, fentanyl and its analogues caused numerous fatal drug overdose incidents. The problem raised by the group of Mirsafavi et al. [35] is the need for novel analytical methods to effectively distinguish fentanyl from its precursors. The vibrational spectra of this family of analytes are quite similar, so it is difficult to solve the problem using conventional methods. The SERS method enables the distinguishing of fentanyl and its precursors. This approach would be an efficient and effective aid in the field of forensics.

This entry is adapted from the peer-reviewed paper 10.3390/cells11030386

References

  1. Kevin Buckley; Alan G. Ryder; Applications of Raman Spectroscopy in Biopharmaceutical Manufacturing: A Short Review. Applied Spectroscopy 2017, 71, 1085-1116, 10.1177/0003702817703270.
  2. Ramón A. Alvarez-Puebla; Luis M. Liz-Marzán; SERS-Based Diagnosis and Biodetection. Small 2010, 6, 604-610, 10.1002/smll.200901820.
  3. Stephen D. Hudson; George Chumanov; Bioanalytical applications of SERS (surface-enhanced Raman spectroscopy). Analytical and Bioanalytical Chemistry 2009, 394, 679-686, 10.1007/s00216-009-2756-2.
  4. Dana Cialla; Anne März; René Böhme; Frank Theil; Karina Weber; Michael Schmitt; Jürgen Popp; Surface-enhanced Raman spectroscopy (SERS): progress and trends. Analytical and Bioanalytical Chemistry 2011, 403, 27-54, 10.1007/s00216-011-5631-x.
  5. Daniel Jaeger; Christian Pilger; Henning Hachmeister; Elina Oberländer; Robin Wördenweber; Julian Wichmann; Jan H. Mussgnug; Thomas Huser; Olaf Kruse; Label-free in vivo analysis of intracellular lipid droplets in the oleaginous microalga Monoraphidium neglectum by coherent Raman scattering microscopy. Scientific Reports 2016, 6, 35340, 10.1038/srep35340.
  6. Lillie Cavonius; Helen Fink; Juris Kiskis; Eva Albers; Ingrid Undeland; Annika Enejder; Imaging of Lipids in Microalgae with Coherent Anti-Stokes Raman Scattering Microscopy. Plant Physiology 2015, 167, 603-616, 10.1104/pp.114.252197.
  7. X. N. He; J. Allen; P. N. Black; Tommaso Baldacchini; X. Huang; H. Huang; L. Jiang; Y. F. Lu; Coherent anti-Stokes Raman scattering and spontaneous Raman spectroscopy and microscopy of microalgae with nitrogen depletion. Biomedical Optics Express 2012, 3, 2896-2906, 10.1364/BOE.3.002896.
  8. Fisseha Bekele Legesse; Jan Rüger; Tobias Meyer; Christoph Krafft; Michael Schmitt; Jürgen Popp; Investigation of Microalgal Carotenoid Content Using Coherent Anti-Stokes Raman Scattering (CARS) Microscopy and Spontaneous Raman Spectroscopy. ChemPhysChem 2018, 19, 1048-1055, 10.1002/cphc.201701298.
  9. Sudhir Kumar Sharma; David R. Nelson; Rasha Abdrabu; Basel Khraiwesh; Kenan Jijakli; Marc Arnoux; Matthew J. O’Connor; Tayebeh Bahmani; Hong Cai; Sachin Khapli; et al. An integrative Raman microscopy-based workflow for rapid in situ analysis of microalgal lipid bodies. Biotechnology for Biofuels 2015, 8, 1-14, 10.1186/s13068-015-0349-1.
  10. Shixuan He; Wanyi Xie; Ping Zhang; ShaoXi Fang; Zhe Li; Peng Tang; Xia Gao; Jinsong Guo; Chaker Tlili; Deqiang Wang; et al. Preliminary identification of unicellular algal genus by using combined confocal resonance Raman spectroscopy with PCA and DPLS analysis. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2018, 190, 417-422, 10.1016/j.saa.2017.09.036.
  11. Nadezda A. Brazhe; Andrey B. Evlyukhin; Eugene Goodilin; Anna A. Semenova; Sergey Novikov; Sergey I. Bozhevolnyi; Boris N. Chichkov; Asya S. Sarycheva; Adil A. Baizhumanov; Evelina I. Nikelshparg; et al. Probing cytochrome c in living mitochondria with surface-enhanced Raman spectroscopy. Scientific Reports 2015, 5, 13793, 10.1038/srep13793.
  12. Kateřina Osterrothová; Adam Culka; Kateřina Němečková; David Kaftan; Linda Nedbalová; Lenka Prochazkova; Jan Jehlicka; Analyzing carotenoids of snow algae by Raman microspectroscopy and high-performance liquid chromatography. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2019, 212, 262-271, 10.1016/j.saa.2019.01.013.
  13. Jan Jehlicka; Howell G. M. Edwards; Kateřina Osterrothová; Julie Novotná; Linda Nedbalová; Jiří Kopecký; Ivan Němec; Aharon Oren; Potential and limits of Raman spectroscopy for carotenoid detection in microorganisms: implications for astrobiology. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2014, 372, 20140199, 10.1098/rsta.2014.0199.
  14. Elizabeth Kish; Ke Wang; Manuel J. Llansola-Portoles; Cristian Ilioaia; Andrew A. Pascal; Bruno Robert; Chunhong Yang; Probing the pigment binding sites in LHCII with resonance Raman spectroscopy: The effect of mutations at S123. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms 2016, 1857, 1490-1496, 10.1016/j.bbabio.2016.06.001.
  15. Tingting Wang; Yuetong Ji; Yun Wang; Jing Jia; Jing Li; Shi Huang; Danxiang Han; Qiang Hu; Wei E Huang; Jian Xu; et al. Quantitative dynamics of triacylglycerol accumulation in microalgae populations at single-cell resolution revealed by Raman microspectroscopy. Biotechnology for Biofuels 2014, 7, 58-58, 10.1186/1754-6834-7-58.
  16. Huawen Wu; Joanne V. Volponi; Ann E. Oliver; Atul N. Parikh; Blake A. Simmons; Seema Singh; In vivo lipidomics using single-cell Raman spectroscopy. Proceedings of the National Academy of Sciences 2011, 108, 3809-3814, 10.1073/pnas.1009043108.
  17. Evelina I. Nikelshparg; Vera G. Grivennikova; Adil A. Baizhumanov; Anna A. Semenova; Victoria Sosnovtseva; Eugene A. Goodilin; Georgy V. Maksimov; Nadezhda A. Brazhe; Probing lipids in biological membranes using SERS. Mendeleev Communications 2019, 29, 635-637, 10.1016/j.mencom.2019.11.009.
  18. Ota Samek; Alexandr Jonáš; Zdeněk Pilát; Pavel Zemanek; Ladislav Nedbal; Jan Tříska; Petr Kotas; Martin Trtílek; Raman Microspectroscopy of Individual Algal Cells: Sensing Unsaturation of Storage Lipids in vivo. Sensors 2010, 10, 8635-8651, 10.3390/s100908635.
  19. Shijie Fu; Xiwen Wang; Ting Wang; Zhiping Li; Deming Han; Chunsheng Yu; Cui Yang; Han Qu; Hang Chi; Yutian Wang; et al. A sensitive and rapid bacterial antibiotic susceptibility test method by surface enhanced Raman spectroscopy. Brazilian Journal of Microbiology 2020, 51, 875-881, 10.1007/s42770-020-00282-5.
  20. Yu-Luen Deng; Yi-Je Juang; Black silicon SERS substrate: Effect of surface morphology on SERS detection and application of single algal cell analysis. Biosensors and Bioelectronics 2014, 53, 37-42, 10.1016/j.bios.2013.09.032.
  21. Wang, Y. Construction of Artificial Intelligence-Assisted Prostate Tumor Early Diagnosis System Based on Surface Enhanced Raman Spectroscopy. 2020. Available online: http://www.chictr.org.cn/showproj.aspx?proj=60141 (accessed on 12 December 2021).
  22. U.S. National Library of Medicine Non-Invasive Assessment of Mechano-Chemical Properties of Urine Proteins by Hybrid Brillouin-Raman Spectroscopy. Available online: https://clinicaltrials.gov/ct2/show/NCT04311684 (accessed on 12 December 2021)
  23. U.S. National Library of Medicine. Raman Analysis of Saliva as Biomarker of COPD (BIO-RAnCh). Available online: https: //clinicaltrials.gov/ct2/show/NCT04628962 (accessed on 12 December 2021)
  24. Cristina L. Zavaleta; Ellis Garai; Jonathan T. C. Liu; Steven Sensarn; Michael J. Mandella; Dominique Van de Sompel; Shai Friedland; Jacques Van Dam; Christopher H. Contag; Sanjiv S. Gambhir; et al. A Raman-based endoscopic strategy for multiplexed molecular imaging. Proceedings of the National Academy of Sciences 2013, 110, E2288-E2297, 10.1073/pnas.1211309110.
  25. Chunhuan Jiang; Ying Wang; Wei Song; Lehui Lu; Delineating the tumor margin with intraoperative surface-enhanced Raman spectroscopy. Analytical and Bioanalytical Chemistry 2019, 411, 3993-4006, 10.1007/s00216-019-01577-9.
  26. Conor L. Evans; X. Sunney Xie; Coherent Anti-Stokes Raman Scattering Microscopy: Chemical Imaging for Biology and Medicine. Annual Review of Analytical Chemistry 2008, 1, 883-909, 10.1146/annurev.anchem.1.031207.112754.
  27. Conor L. Evans; Eric O. Potma; Mehron Puoris'Haag; Daniel Côté; Charles P. Lin; X. Sunney Xie; Chemical imaging of tissue in vivo with video-rate coherent anti-Stokes Raman scattering microscopy. Proceedings of the National Academy of Sciences 2005, 102, 16807-16812, 10.1073/pnas.0508282102.
  28. Ji-Xin Cheng; X. Sunney Xie; Coherent Anti-Stokes Raman Scattering Microscopy: Instrumentation, Theory, and Applications. The Journal of Physical Chemistry B 2003, 108, 827-840, 10.1021/jp035693v.
  29. Akshay Sood; Wooju Jeong; James O. Peabody; Ashok K. Hemal; Mani Menon; Robot-Assisted Radical Prostatectomy. Urologic Clinics of North America 2014, 41, 473-484, 10.1016/j.ucl.2014.07.002.
  30. Masaya Okada; Nicholas Isaac Smith; Almar Flotildes Palonpon; Hiromi Endo; Satoshi Kawata; Mikiko Sodeoka; Katsumasa Fujita; Label-free Raman observation of cytochrome c dynamics during apoptosis. Proceedings of the National Academy of Sciences 2011, 109, 28-32, 10.1073/pnas.1107524108.
  31. M. Z. Vardaki; C. G. Atkins; H. G. Schulze; D. V. Devine; K. Serrano; M. W. Blades; R. F. B. Turner; Raman spectroscopy of stored red blood cell concentrate within sealed transfusion blood bags. The Analyst 2018, 143, 6006-6013, 10.1039/c8an01509k.
  32. Guanping Feng; Marien Ochoa; Jason R. Maher; Hani Awad; Andrew J. Berger; Sensitivity of spatially offset Raman spectroscopy (SORS) to subcortical bone tissue. Journal of Biophotonics 2017, 10, 990-996, 10.1002/jbio.201600317.
  33. Kumud Bandhu Mishra; Petr Vítek; Anamika Mishra; Josef Hájek; Miloš Barták; Chlorophyll a fluorescence and Raman spectroscopy can monitor activation/deactivation of photosynthesis and carotenoids in Antarctic lichens. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2020, 239, 118458, 10.1016/j.saa.2020.118458.
  34. Sijia Liu; Akash Kannegulla; Xianming Kong; Ran Sun; Ye Liu; Rui Wang; Qian Yu; Alan X. Wang; Simultaneous colorimetric and surface-enhanced Raman scattering detection of melamine from milk. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2020, 231, 118130, 10.1016/j.saa.2020.118130.
  35. Rustin Mirsafavi; Martin Moskovits; Carl Meinhart; Detection and classification of fentanyl and its precursors by surface-enhanced Raman spectroscopy. The Analyst 2020, 145, 3440-3446, 10.1039/c9an02568e.
  36. Kumud Bandhu Mishra; Petr Vítek; Anamika Mishra; Josef Hájek; Miloš Barták; Chlorophyll a fluorescence and Raman spectroscopy can monitor activation/deactivation of photosynthesis and carotenoids in Antarctic lichens. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2020, 239, 118458, 10.1016/j.saa.2020.118458.
  37. Sijia Liu; Akash Kannegulla; Xianming Kong; Ran Sun; Ye Liu; Rui Wang; Qian Yu; Alan X. Wang; Simultaneous colorimetric and surface-enhanced Raman scattering detection of melamine from milk. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2020, 231, 118130, 10.1016/j.saa.2020.118130.
  38. Rustin Mirsafavi; Martin Moskovits; Carl Meinhart; Detection and classification of fentanyl and its precursors by surface-enhanced Raman spectroscopy. The Analyst 2020, 145, 3440-3446, 10.1039/c9an02568e.
More
© Text is available under the terms and conditions of the Creative Commons Attribution (CC BY) license; additional terms may apply. By using this site, you agree to the Terms and Conditions and Privacy Policy.
This entry is offline, you can click here to edit this entry!
Video Production Service
Feedback