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Journal articles on the topic 'Raman spectroscopy'

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Published: 4 June 2021
Last updated: 30 July 2024

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1

SAKAMOTO, Kenji, and Sukekatsu USHIODA. "Raman Spectroscopy." Hyomen Kagaku 13, no. 2 (1992): 79–87. http://dx.doi.org/10.1380/jsssj.13.79.

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2

Gerrard, D. L., and J. Birnie. "Raman spectroscopy." Analytical Chemistry 62, no. 12 (June 15, 1990): 140–50. http://dx.doi.org/10.1021/ac00211a012.

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3

Gerrard, D. L., and H. J. Bowley. "Raman spectroscopy." Analytical Chemistry 60, no. 12 (June 15, 1988): 368–77. http://dx.doi.org/10.1021/ac00163a023.

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4

Mulvaney, Shawn P., and Christine D. Keating. "Raman Spectroscopy." Analytical Chemistry 72, no. 12 (June 2000): 145–58. http://dx.doi.org/10.1021/a10000155.

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5

Lyon, L. Andrew, Christine D. Keating, Audrey P. Fox, Bonnie E. Baker, Lin He, Sheila R. Nicewarner, Shawn P. Mulvaney, and Michael J. Natan. "Raman Spectroscopy." Analytical Chemistry 70, no. 12 (June 1998): 341–62. http://dx.doi.org/10.1021/a1980021p.

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6

Gerrard, D. L., and J. Birnie. "Raman spectroscopy." Analytical Chemistry 64, no. 12 (June 15, 1992): 502–13. http://dx.doi.org/10.1021/ac00036a026.

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7

Gerrard, D. L. "Raman Spectroscopy." Analytical Chemistry 66, no. 12 (June 1994): 547–57. http://dx.doi.org/10.1021/ac00084a020.

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8

Gerrard, Donald L., and Heather J. Bowley. "Raman spectroscopy." Analytical Chemistry 58, no. 5 (April 1986): 6–13. http://dx.doi.org/10.1021/ac00296a002.

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9

Vandenabeele, Peter. "Raman spectroscopy." Analytical and Bioanalytical Chemistry 397, no. 7 (June 12, 2010): 2629–30. http://dx.doi.org/10.1007/s00216-010-3872-8.

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10

Williams, Adrian C., and Brian W. Barry. "Raman spectroscopy." Journal of Toxicology: Cutaneous and Ocular Toxicology 20, no. 4 (January 2001): 497–511. http://dx.doi.org/10.1081/cus-120001872.

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11

Fenn, Michael B., Petros Xanthopoulos, Georgios Pyrgiotakis, Stephen R. Grobmyer, Panos M. Pardalos, and Larry L. Hench. "Raman Spectroscopy for Clinical Oncology." Advances in Optical Technologies 2011 (October 19, 2011): 1–20. http://dx.doi.org/10.1155/2011/213783.

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Cancer is one of the leading causes of death throughout the world. Advancements in early and improved diagnosis could help prevent a significant number of these deaths. Raman spectroscopy is a vibrational spectroscopic technique which has received considerable attention recently with regards to applications in clinical oncology. Raman spectroscopy has the potential not only to improve diagnosis of cancer but also to advance the treatment of cancer. A number of studies have investigated Raman spectroscopy for its potential to improve diagnosis and treatment of a wide variety of cancers. In this paper the most recent advances in dispersive Raman spectroscopy, which have demonstrated promising leads to real world application for clinical oncology are reviewed. The application of Raman spectroscopy to breast, brain, skin, cervical, gastrointestinal, oral, and lung cancers is reviewed as well as a special focus on the data analysis techniques, which have been employed in the studies.
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12

Petersen, Marlen, Zhilong Yu, and Xiaonan Lu. "Application of Raman Spectroscopic Methods in Food Safety: A Review." Biosensors 11, no. 6 (June 8, 2021): 187. http://dx.doi.org/10.3390/bios11060187.

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Food detection technologies play a vital role in ensuring food safety in the supply chains. Conventional food detection methods for biological, chemical, and physical contaminants are labor-intensive, expensive, time-consuming, and often alter the food samples. These limitations drive the need of the food industry for developing more practical food detection tools that can detect contaminants of all three classes. Raman spectroscopy can offer widespread food safety assessment in a non-destructive, ease-to-operate, sensitive, and rapid manner. Recent advances of Raman spectroscopic methods further improve the detection capabilities of food contaminants, which largely boosts its applications in food safety. In this review, we introduce the basic principles of Raman spectroscopy, surface-enhanced Raman spectroscopy (SERS), and micro-Raman spectroscopy and imaging; summarize the recent progress to detect biological, chemical, and physical hazards in foods; and discuss the limitations and future perspectives of Raman spectroscopic methods for food safety surveillance. This review is aimed to emphasize potential opportunities for applying Raman spectroscopic methods as a promising technique for food safety detection.
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13

Sinha, Rajeev K. "An Inexpensive Raman, Spectroscopy Setup for Raman, Polarized Raman, and Surface Enhanced Raman, Spectroscopy." Instruments and Experimental Techniques 64, no. 6 (November 2021): 840–47. http://dx.doi.org/10.1134/s002044122106018x.

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14

Kim, Hyung Hun. "Endoscopic Raman Spectroscopy for Molecular Fingerprinting of Gastric Cancer: Principle to Implementation." BioMed Research International 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/670121.

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Currently, positive endoscopic biopsy is the standard criterion for gastric cancer diagnosis but is invasive, often inconsistent, and delayed although early detection and early treatment is the most important policy. Raman spectroscopy is a spectroscopic technique based on inelastic scattering of monochromatic light. Raman spectrum represents molecular composition of the interrogated volume providing a direct molecular fingerprint. Several investigations revealed that Raman spectroscopy can differentiate normal, dysplastic, and adenocarcinoma gastric tissue with high sensitivity and specificity. Moreover, this technique can indentify malignant ulcer and showed the capability to analyze the carcinogenesis process. Automated on-line Raman spectral diagnostic system raised possibility to use Raman spectroscopy in clinical field. Raman spectroscopy can be applied in many fields such as guiding a target biopsy, optical biopsy in bleeding prone situation, and delineating the margin of the lesion. With wide field technology, Raman spectroscopy is expected to have specific role in our future clinical field.
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15

Yin, Yin, Wu, Qi, Tian, Zhang, Hu, and Feng. "Characterization of Coals and Coal Ashes with High Si Content Using Combined Second-Derivative Infrared Spectroscopy and Raman Spectroscopy." Crystals 9, no. 10 (October 2, 2019): 513. http://dx.doi.org/10.3390/cryst9100513.

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The organic and mineral components in two coals and resulting high-temperature ashes with high silicon content were characterized by second-derivative infrared spectroscopy, Raman spectroscopy, and X-ray diffraction (XRD). The infrared spectra of raw coals show weak organic functional groups bands but strong kaolinite bands because of the relatively high silicates content. In contrast, the Raman spectra of raw coals show strong disordered carbon bands but no mineral bands since Raman spectroscopy is highly sensitive to carbonaceous phases. The overlapping bands of mineral components (e.g., calcite, feldspar, and muscovite) were successfully resolved by the method of second-derivative infrared spectroscopy. The results of infrared spectra indicate the presence of metakaolinite in coal ashes, suggesting the thermal transformation of kaolinite during ashing. Intense quartz bands were shown in both infrared and Raman spectra of coal ashes. In addition, Raman spectra of coal ashes show a very strong characteristic band of anatase (149 cm–1), although the titanium oxides content is very low. Combined use of second-derivative infrared spectroscopy and Raman spectroscopy provides valuable insight into the analyses of mineralogical composition. The XRD results generally agree with those of FTIR and Raman spectroscopic analyses.
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16

Serebrennikova, Kseniya V., Anna N. Berlina, Dmitriy V. Sotnikov, Anatoly V. Zherdev, and Boris B. Dzantiev. "Raman Scattering-Based Biosensing: New Prospects and Opportunities." Biosensors 11, no. 12 (December 13, 2021): 512. http://dx.doi.org/10.3390/bios11120512.

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The growing interest in the development of new platforms for the application of Raman spectroscopy techniques in biosensor technologies is driven by the potential of these techniques in identifying chemical compounds, as well as structural and functional features of biomolecules. The effect of Raman scattering is a result of inelastic light scattering processes, which lead to the emission of scattered light with a different frequency associated with molecular vibrations of the identified molecule. Spontaneous Raman scattering is usually weak, resulting in complexities with the separation of weak inelastically scattered light and intense Rayleigh scattering. These limitations have led to the development of various techniques for enhancing Raman scattering, including resonance Raman spectroscopy (RRS) and nonlinear Raman spectroscopy (coherent anti-Stokes Raman spectroscopy and stimulated Raman spectroscopy). Furthermore, the discovery of the phenomenon of enhanced Raman scattering near metallic nanostructures gave impetus to the development of the surface-enhanced Raman spectroscopy (SERS) as well as its combination with resonance Raman spectroscopy and nonlinear Raman spectroscopic techniques. The combination of nonlinear and resonant optical effects with metal substrates or nanoparticles can be used to increase speed, spatial resolution, and signal amplification in Raman spectroscopy, making these techniques promising for the analysis and characterization of biological samples. This review provides the main provisions of the listed Raman techniques and the advantages and limitations present when applied to life sciences research. The recent advances in SERS and SERS-combined techniques are summarized, such as SERRS, SE-CARS, and SE-SRS for bioimaging and the biosensing of molecules, which form the basis for potential future applications of these techniques in biosensor technology. In addition, an overview is given of the main tools for success in the development of biosensors based on Raman spectroscopy techniques, which can be achieved by choosing one or a combination of the following approaches: (i) fabrication of a reproducible SERS substrate, (ii) synthesis of the SERS nanotag, and (iii) implementation of new platforms for on-site testing.
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17

Agsalda-Garcia, Melissa, Tiffany Shieh, Ryan Souza, Natalie Kamada, Nicholas Loi, Robert Oda, Tayro Acosta-Maeda, et al. "Raman-Enhanced Spectroscopy (RESpect) Probe for Childhood Non-Hodgkin Lymphoma." SciMedicine Journal 2, no. 1 (March 1, 2020): 1–7. http://dx.doi.org/10.28991/scimedj-2020-0201-1.

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Raman-enhanced spectroscopy (RESpect) probe, which enhances Raman spectroscopy technology through a portable fiber-optic device, characterizes tissues and cells by identifying molecular chemical composition showing distinct differences/similarities for potential tumor markers or diagnosis. In a feasibility study with the ultimate objective to translate the technology to the clinic, a panel of pediatric non-Hodgkin lymphoma tissues and non-malignant specimens had RS analyses compared between standard Raman spectroscopy microscope instrument and RESpect probe. Cryopreserved tissues were mounted on front-coated aluminum mirror slides and analyzed by standard Raman spectroscopy and RESpect probe. Principal Component Analysis revealed similarities between non-Hodgkin lymphoma subtypes but not follicular hyperplasia. Standard Raman spectroscopy and RESpect probe fingerprint comparisons demonstrated comparable primary peaks. Raman spectroscopic fingerprints and peaks of pediatric non-Hodgkin lymphoma subtypes and follicular hyperplasia provided novel avenues to pursue diagnostic approaches and identify potential new therapeutic targets. The information could inform new insights into molecular cellular pathogenesis. Translating Raman spectroscopy technology by using the RESpect probe as a potential point-of-care screening instrument has the potential to change the paradigm of screening for cancer as an initial step to determine when a definitive tissue biopsy would be necessary.
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18

Kitagawa, Teizo. "Resonance Raman spectroscopy." Journal of Porphyrins and Phthalocyanines 06, no. 04 (April 2002): 301–2. http://dx.doi.org/10.1142/s1088424602000361.

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The main topics in resonance Raman spectroscopy presented at ICPP-2 in Kyoto are briefly discussed. These include: (i) coherent spectroscopy and low frequency vibrations of ligand-photodissociated heme proteins, (ii) vibrational relaxation revealed by time-resolved anti-Stokes Raman spectroscopy, (iii) electron transfer in porphyrin arrays, (iv) vibrational assignments of tetraazaporphyrins and (v) resonance Raman spectra of an NO storing protein, nitrophorin.
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19

Luo, Ruihao, Juergen Popp, and Thomas Bocklitz. "Deep Learning for Raman Spectroscopy: A Review." Analytica 3, no. 3 (July 19, 2022): 287–301. http://dx.doi.org/10.3390/analytica3030020.

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Raman spectroscopy (RS) is a spectroscopic method which indirectly measures the vibrational states within samples. This information on vibrational states can be utilized as spectroscopic fingerprints of the sample, which, subsequently, can be used in a wide range of application scenarios to determine the chemical composition of the sample without altering it, or to predict a sample property, such as the disease state of patients. These two examples are only a small portion of the application scenarios, which range from biomedical diagnostics to material science questions. However, the Raman signal is weak and due to the label-free character of RS, the Raman data is untargeted. Therefore, the analysis of Raman spectra is challenging and machine learning based chemometric models are needed. As a subset of representation learning algorithms, deep learning (DL) has had great success in data science for the analysis of Raman spectra and photonic data in general. In this review, recent developments of DL algorithms for Raman spectroscopy and the current challenges in the application of these algorithms will be discussed.
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20

Frosch, Timea, Andreas Knebl, and Torsten Frosch. "Recent advances in nano-photonic techniques for pharmaceutical drug monitoring with emphasis on Raman spectroscopy." Nanophotonics 9, no. 1 (December 9, 2019): 19–37. http://dx.doi.org/10.1515/nanoph-2019-0401.

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AbstractInnovations in Raman spectroscopic techniques provide a potential solution to current problems in pharmaceutical drug monitoring. This review aims to summarize the recent advances in the field. The developments of novel plasmonic nanoparticles continuously push the limits of Raman spectroscopic detection. In surface-enhanced Raman spectroscopy (SERS), these particles are used for the strong local enhancement of Raman signals from pharmaceutical drugs. SERS is increasingly applied for forensic trace detection and for therapeutic drug monitoring. In combination with spatially offset Raman spectroscopy, further application fields could be addressed, e.g. in situ pharmaceutical quality testing through the packaging. Raman optical activity, which enables the thorough analysis of specific chiral properties of drugs, can also be combined with SERS for signal enhancement. Besides SERS, micro- and nano-structured optical hollow fibers enable a versatile approach for Raman signal enhancement of pharmaceuticals. Within the fiber, the volume of interaction between drug molecules and laser light is increased compared with conventional methods. Advances in fiber-enhanced Raman spectroscopy point at the high potential for continuous online drug monitoring in clinical therapeutic diagnosis. Furthermore, fiber-array based non-invasive Raman spectroscopic chemical imaging of tablets might find application in the detection of substandard and counterfeit drugs. The discussed techniques are promising and might soon find widespread application for the detection and monitoring of drugs in various fields.
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21

Jehlička, Jan, Howell G. M. Edwards, and Aharon Oren. "Raman Spectroscopy of Microbial Pigments." Applied and Environmental Microbiology 80, no. 11 (March 28, 2014): 3286–95. http://dx.doi.org/10.1128/aem.00699-14.

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ABSTRACTRaman spectroscopy is a rapid nondestructive technique providing spectroscopic and structural information on both organic and inorganic molecular compounds. Extensive applications for the method in the characterization of pigments have been found. Due to the high sensitivity of Raman spectroscopy for the detection of chlorophylls, carotenoids, scytonemin, and a range of other pigments found in the microbial world, it is an excellent technique to monitor the presence of such pigments, both in pure cultures and in environmental samples. Miniaturized portable handheld instruments are available; these instruments can be used to detect pigments in microbiological samples of different types and origins under field conditions.
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22

TAKAYANAGI, Masao, and Hiromi OKAMOTO. "Nonlinear Raman Spectroscopy." Journal of the Spectroscopical Society of Japan 46, no. 3 (1997): 131–45. http://dx.doi.org/10.5111/bunkou.46.131.

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23

TASUMI, MITSUO. "Laser Raman spectroscopy." Review of Laser Engineering 21, no. 1 (1993): 208–11. http://dx.doi.org/10.2184/lsj.21.208.

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24

Grausem, J., B. Humbert, A. Burneau, and J. Oswalt. "Subwavelength Raman spectroscopy." Applied Physics Letters 70, no. 13 (March 31, 1997): 1671–73. http://dx.doi.org/10.1063/1.118665.

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25

Kobayashi, Masamichi. "Laser raman spectroscopy." Kobunshi 40, no. 5 (1991): 338–41. http://dx.doi.org/10.1295/kobunshi.40.338.

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26

Campion, Alan, and W. H. Woodruff. "Multichannel Raman spectroscopy." Analytical Chemistry 59, no. 22 (November 15, 1987): 1299A—1308A. http://dx.doi.org/10.1021/ac00149a001.

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27

Widmann, John F., Christopher L. Aardahl, and E. James Davis. "Microparticle Raman spectroscopy." TrAC Trends in Analytical Chemistry 17, no. 6 (June 1998): 339–45. http://dx.doi.org/10.1016/s0165-9936(98)00038-7.

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28

Brusatori, Michelle, Gregory Auner, Thomas Noh, Lisa Scarpace, Brandy Broadbent, and Steven N. Kalkanis. "Intraoperative Raman Spectroscopy." Neurosurgery Clinics of North America 28, no. 4 (October 2017): 633–52. http://dx.doi.org/10.1016/j.nec.2017.05.014.

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29

Basilio, Fernando C., Patricia T. Campana, Eralci M. Therézio, Newton M. Barbosa Neto, Françoise Serein-Spirau, Raigna A. Silva, Osvaldo N. Oliveira, and Alexandre Marletta. "Ellipsometric Raman Spectroscopy." Journal of Physical Chemistry C 120, no. 43 (October 21, 2016): 25101–9. http://dx.doi.org/10.1021/acs.jpcc.6b08809.

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30

Hazle, M. A., M. Mehicic, D. J. Gardiner, and P. R. Graves. "Practical Raman Spectroscopy." Vibrational Spectroscopy 1, no. 1 (December 1990): 104. http://dx.doi.org/10.1016/0924-2031(90)80015-v.

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31

Durig, J. R. "Practical Raman Spectroscopy." TrAC Trends in Analytical Chemistry 9, no. 10 (November 1990): IX. http://dx.doi.org/10.1016/0165-9936(90)85071-e.

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32

Waters, D. N. "Laboratory Raman spectroscopy." Endeavour 9, no. 4 (January 1985): 207. http://dx.doi.org/10.1016/0160-9327(85)90093-6.

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33

Ohtsuka, Toshiaki. "Laser Raman Spectroscopy." Zairyo-to-Kankyo 42, no. 9 (1993): 592–600. http://dx.doi.org/10.3323/jcorr1991.42.592.

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34

DePaola, B. D., S. S. Wagal, and C. B. Collins. "Nuclear Raman spectroscopy." Journal of the Optical Society of America B 2, no. 4 (April 1, 1985): 541. http://dx.doi.org/10.1364/josab.2.000541.

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35

Robert, Bruno. "Resonance Raman spectroscopy." Photosynthesis Research 101, no. 2-3 (July 1, 2009): 147–55. http://dx.doi.org/10.1007/s11120-009-9440-4.

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36

Ziegler, L. D. "Hyper-Raman spectroscopy." Journal of Raman Spectroscopy 21, no. 12 (December 1990): 769–79. http://dx.doi.org/10.1002/jrs.1250211203.

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37

Beattie, ProfessorI. "Laser Raman spectroscopy." Spectrochimica Acta Part A: Molecular Spectroscopy 44, no. 10 (January 1988): 1063. http://dx.doi.org/10.1016/0584-8539(88)80229-0.

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38

Xu, Sai, Xiongmei Huang, and Huazhong Lu. "Advancements and Applications of Raman Spectroscopy in Rapid Quality and Safety Detection of Fruits and Vegetables." Horticulturae 9, no. 7 (July 24, 2023): 843. http://dx.doi.org/10.3390/horticulturae9070843.

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With the improvement in living standards, consumers have become more aware of healthy diets and pay more attention to the quality and safety of fruits and vegetables. Therefore, it is essential to strengthen the research on rapid detection of the quality and safety of fruits and vegetables. This study mainly outlines five Raman spectroscopy techniques. It introduces their principles and advantages and the current research progress of their application in fruit and vegetable quality and safety detection. Based on the characteristic Raman spectroscopy analysis of different fruits and vegetables, researchers found that Raman spectroscopy techniques can quickly and accurately detect classification identification, ripeness, freshness, disease infestation, and surface pesticide residues of fruits and vegetables. In addition, Raman spectroscopy techniques can also detect the content and distribution of material components of fruits and vegetables. This paper also discusses Raman spectroscopy’s current technology and application difficulties in fruit and vegetable quality and safety testing. It looks forward to its future development trend, expecting to promote the broad application of Raman spectroscopy in fruit and vegetable quality and safety testing.
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39

Frost, Ray L., and Matt Weier. "Raman and infrared spectroscopy of tsumcorite mineral group." Neues Jahrbuch für Mineralogie - Monatshefte 2004, no. 7 (July 2, 2004): 317–36. http://dx.doi.org/10.1127/0028-3649/2004/2004-0317.

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40

Carpentier, Philippe, Antoine Royant, Jérémy Ohana, and Dominique Bourgeois. "Advances in spectroscopic methods for biological crystals. 2. Raman spectroscopy." Journal of Applied Crystallography 40, no. 6 (November 10, 2007): 1113–22. http://dx.doi.org/10.1107/s0021889807044202.

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A Raman microspectrophotometer is described that allows the spectroscopic investigation of protein crystals under exactly the same conditions as those used for X-ray data collection. The concept is based on the integration of the Raman excitation/collection optics into a microspectrophotometer built around a single-axis diffractometer and a cooling device. It is shown that Raman spectra of outstanding quality can be recorded from crystallized macromolecules under non-resonant conditions. It is proposed that equipment developed in the context of macromolecular cryocrystallography, such as commonly used cryoloops, can be advantageously used to improve the quality of Raman spectra. In a few examples, it is shown that Raman microspectrophotometry provides crucial complementary information to X-ray crystallography,e.g.identifying the chemical nature of unknown features discovered in electron-density maps, or following ligand-binding kinetics in biological crystals. The feasibility of `online' Raman measurements performed directly on the ESRF macromolecular crystallography beamlines has been investigated and constitutes a promising perspective for the routine implementation of combined spectroscopic and crystallographic methods.In crystalloRaman spectroscopy efficiently complements absorption/fluorescence microspectrophotometry for the study of biological crystals and opens up new avenues for difficult structural projects with mechanistic perspectives in the field of protein crystallography.
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41

Shaikh, Rubina, Valeria Tafintseva, Ervin Nippolainen, Vesa Virtanen, Johanne Solheim, Boris Zimmermann, Simo Saarakkala, Juha Töyräs, Achim Kohler, and Isaac O. Afara. "Characterisation of Cartilage Damage via Fusing Mid-Infrared, Near-Infrared, and Raman Spectroscopic Data." Journal of Personalized Medicine 13, no. 7 (June 24, 2023): 1036. http://dx.doi.org/10.3390/jpm13071036.

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Mid-infrared spectroscopy (MIR), near-infrared spectroscopy (NIR), and Raman spectroscopy are all well-established analytical techniques in biomedical applications. Since they provide complementary chemical information, we aimed to determine whether combining them amplifies their strengths and mitigates their weaknesses. This study investigates the feasibility of the fusion of MIR, NIR, and Raman spectroscopic data for characterising articular cartilage integrity. Osteochondral specimens from bovine patellae were subjected to mechanical and enzymatic damage, and then MIR, NIR, and Raman data were acquired from the damaged and control specimens. We assessed the capacity of individual spectroscopic methods to classify the samples into damage or control groups using Partial Least Squares Discriminant Analysis (PLS-DA). Multi-block PLS-DA was carried out to assess the potential of data fusion by combining the dataset by applying two-block (MIR and NIR, MIR and Raman, NIR and Raman) and three-block approaches (MIR, NIR, and Raman). The results of the one-block models show a higher classification accuracy for NIR (93%) and MIR (92%) than for Raman (76%) spectroscopy. In contrast, we observed the highest classification efficiency of 94% and 93% for the two-block (MIR and NIR) and three-block models, respectively. The detailed correlative analysis of the spectral features contributing to the discrimination in the three-block models adds considerably more insight into the molecular origin of cartilage damage.
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42

Pchelkina, V. A., I. M. Chernukha, L. V. Fedulova, and N. A. Ilyin. "Raman spectroscopic techniques for meat analysis: A review." Theory and practice of meat processing 7, no. 2 (July 24, 2022): 97–111. http://dx.doi.org/10.21323/2414-438x-2022-7-2-97-111.

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Raman spectroscopy (vibrational spectroscopy) proved to be an effective analytical approach in the field of geology, semiconductors, materials and polymers. Over the past decade, Raman spectroscopy has attracted the attention of researchers as a non-destructive, highly sensitive, fast and eco-friendly method and has demonstrated the unique capabilities of food analysis. The use of Raman spectroscopic methods (RSMs) to assess the quality of meat and finished products is rapidly expanding. From the analysis of one sample, you can get a large amount of information about the structure of proteins, the composition of fatty acids, organoleptic parameters, autolysis and spoilage indicators, authentication of raw materials, technological properties. An important advantage of the method is the comparability of the results obtained with the data of traditional analytical methods. Traditional methods of determining the quality of meat are often time-consuming, expensive and lead to irreversible damage to a sample. It is difficult to use them in production conditions directly on the meat processing lines. Technological advances have made it possible to develop portable Raman spectroscopes to use directly in production. The article presents the basic principles of Raman spectroscopy, system atizes the results of the use of RSMs for the analysis of meat quality from different types of slaughter animals and provides tools for analyzing the data of the obtained spectra. Raman spectra have many dependent variables, so chemometric assays are used to work with them. Literature analysis has shown that currently there is no unified database of meat spectra in the world, standardized protocols for conducting research and processing the obtained results. In Russia, the use of RSMs is a new,
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43

Laskowska, Paulina, Piotr Mrowka, and Eliza Glodkowska-Mrowka. "Raman Spectroscopy as a Research and Diagnostic Tool in Clinical Hematology and Hematooncology." International Journal of Molecular Sciences 25, no. 6 (March 16, 2024): 3376. http://dx.doi.org/10.3390/ijms25063376.

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Raman spectroscopy is a molecular spectroscopic technique able to provide detailed information about the chemical structure, phase, crystallinity, and molecular interactions of virtually any analyzed sample. Although its medical applications have been studied for several decades, only recent advances in microscopy, lasers, detectors, and better understanding of the principles of the Raman effect have successfully expanded its applicability to clinical settings. The promise of a rapid, label-free diagnostic method able to evaluate the metabolic status of a cell in vivo makes Raman spectroscopy particularly attractive for hematology and oncology. Here, we review widely studied hematological applications of Raman spectroscopy such as leukocyte activation status, evaluation of treatment response, and differentiation between cancer and non-malignant cells, as well as its use in still unexplored areas in hematology. We also discuss limitations and challenges faced by Raman spectroscopy-based diagnostics as well as recent advances and modifications of the method aimed to increase its applicability to clinical hematooncology.
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44

Williams, K. P. J., and I. C. Wilcock. "Raman Spectroscopy of Polymers*." Engineering Plastics 5, no. 6 (January 1997): 147823919700500. http://dx.doi.org/10.1177/147823919700500605.

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Raman spectroscopy as a routine analytical method is now coming of age. Advances in Raman technology have meant that robust, user-friendly equipment can be manufactured at a reasonable cost. This article describes these advances as well as providing applications of Raman imaging microscope systems to polymer analysis.
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45

Williams, K. P. J., and I. C. Wilcock. "Raman Spectroscopy of Polymers*." Polymers and Polymer Composites 5, no. 6 (September 1997): 443–49. http://dx.doi.org/10.1177/096739119700500605.

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Abstract:
Raman spectroscopy as a routine analytical method is now coming of age. Advances in Raman technology have meant that robust, user-friendly equipment can be manufactured at a reasonable cost. This article describes these advances as well as providing applications of Raman imaging microscope systems to polymer analysis.
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46

Varghese, Sanoj, Ambili Reveendran, V. senthil Kumar, Karthikeyan Tm, and Venkiteshan Ranganathan. "MICRO RAMAN SPECTROSCOPIC ANALYSIS ON BLOOD SERUM SAMPLES OF DUCTAL CARCINOMA PATIENTS." Asian Journal of Pharmaceutical and Clinical Research 11, no. 9 (September 7, 2018): 176. http://dx.doi.org/10.22159/ajpcr.2018.v11i9.26806.

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Objective: Identification of biochemical changes in ductal cancer patient’s serum samples using micro Raman spectroscopy.Methods: Micro Raman spectroscopy was used for the identification of Raman shift bands. Data analysis was done using K-means clustering.Results: Micro Raman spectroscopic analysis of human breast cancer patient’s serum samples was done. Biochemicals present in the samples were identified from the peak evaluations. K-means clustering analysis was used to differentiate the biochemicals present in the samples.Conclusion: From the study, we conclude that Raman spectroscopy has the potential to differentiate the biochemical changes occurring in the human body, and the differentiation can be done using K-means clustering.
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47

Joshi, Rahul, Ritu Joshi, Changyeun Mo, Mohammad Akbar Faqeerzada, Hanim Z. Amanah, Rudiati Evi Masithoh, Moon S. Kim, and Byoung-Kwan Cho. "Raman Spectral Analysis for Quality Determination of Grignard Reagent." Applied Sciences 10, no. 10 (May 20, 2020): 3545. http://dx.doi.org/10.3390/app10103545.

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Grignard reagent is one of the most popular materials in chemical and pharmaceutical reaction processes, and requires high quality with minimal adulteration. In this study, Raman spectroscopic technique was investigated for the rapid determination of toluene content, which is one of the common adulterants in Grignard reagent. Raman spectroscopy is the most suitable spectroscopic method to mitigate moisture and CO2 interference in the molecules of Grignard reagent. Raman spectra for the mixtures of toluene and Grignard reagent with different concentrations were analyzed with a partial least square regression (PLSR) method. The combination of spectral wavebands in the prediction model was optimized with a variables selection method of variable importance in projection (VIP). The results obtained from the VIP-based PLSR model showed the reliable performance of Raman spectroscopy for predicting the toluene concentration present in Grignard reagent with a correlation coefficient value of 0.97 and a standard error of prediction (SEP) of 0.71%. The results showed that Raman spectroscopy combined with multivariate analysis could be an effective analytical tool for rapid determination of the quality of Grignard reagent.
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48

Goldrick, Stephen, David Lovett, Gary Montague, and Barry Lennox. "Influence of Incident Wavelength and Detector Material Selection on Fluorescence in the Application of Raman Spectroscopy to a Fungal Fermentation Process." Bioengineering 5, no. 4 (September 25, 2018): 79. http://dx.doi.org/10.3390/bioengineering5040079.

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Raman spectroscopy is a novel tool used in the on-line monitoring and control of bioprocesses, offering both quantitative and qualitative determination of key process variables through spectroscopic analysis. However, the wide-spread application of Raman spectroscopy analysers to industrial fermentation processes has been hindered by problems related to the high background fluorescence signal associated with the analysis of biological samples. To address this issue, we investigated the influence of fluorescence on the spectra collected from two Raman spectroscopic devices with different wavelengths and detectors in the analysis of the critical process parameters (CPPs) and critical quality attributes (CQAs) of a fungal fermentation process. The spectra collected using a Raman analyser with the shorter wavelength (903 nm) and a charged coupled device detector (CCD) was corrupted by high fluorescence and was therefore unusable in the prediction of these CPPs and CQAs. In contrast, the spectra collected using a Raman analyser with the longer wavelength (993 nm) and an indium gallium arsenide (InGaAs) detector was only moderately affected by fluorescence and enabled the generation of accurate estimates of the fermentation’s critical variables. This novel work is the first direct comparison of two different Raman spectroscopy probes on the same process highlighting the significant detrimental effect caused by high fluorescence on spectra recorded throughout fermentation runs. Furthermore, this paper demonstrates the importance of correctly selecting both the incident wavelength and detector material type of the Raman spectroscopy devices to ensure corrupting fluorescence is minimised during bioprocess monitoring applications.
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49

Wehrmeister, U., A. L. Soldati, D. E. Jacob, T. Häger, and W. Hofmeister. "Raman spectroscopy of synthetic, geological and biological vaterite: a Raman spectroscopic study." Journal of Raman Spectroscopy 41, no. 2 (September 1, 2009): 193–201. http://dx.doi.org/10.1002/jrs.2438.

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50

Ebihara, Ken, Hiroaki Takahashi, and Isao Noda. "Nanosecond Two-Dimensional Resonance Raman Correlation Spectroscopy of Benzil Radical Anion." Applied Spectroscopy 47, no. 9 (September 1993): 1343–44. http://dx.doi.org/10.1366/0003702934067405.

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Nanosecond two-dimensional resonance Raman spectroscopy was used to investigate the photochemistry of the production and decay of the radical anion of benzil in various solvents. A newly developed correlation formalism was applied to a set of time-resolved resonance Raman spectra of the benzil radical anion to generate two-dimensional Raman spectra. Unlike the 2D correlation method previously developed for IR spectroscopy, which was based on signals induced by a sinusoidally varying external perturbation, the new correlation formalism is generally applicable to the studies of any transient spectroscopic signals having an arbitrary waveform. This makes it ideally suited for the analysis of time-resolved spectroscopic signals following photoexcitation. 2D Raman spectra effectively accentuate certain useful information which is sometimes obscured in the original time-resolved spectra. Spectral intensity changes and peak shifts arising from the photochemical reaction processes were clearly observed by the synchronous and asynchronous correlation.
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