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Dmitry Kurouski

Kurouski, Dmitry
Dmitry Kurouski
Assistant Professor of Biochemistry and Biophysics
216 BioBio
Undergraduate Education
B.Sc. Belarussian State University
Graduate Education
M.Sc. Belarussian State University (2007)
Ph.D. SUNY at Albany, State University of New York (2012)
Postdoc. Northwestern University (2013-2015)
Joined Texas A&M in 2017

Raman-Based Diagnostics of Plant Diseases

Plant diseases are one of the leading contributors to hunger in the world. controlling disease will play a key role in feeding an estimated 9 billion people by 2050. Disease detection is significant because identifying the cause (be it biotic or abiotic) of plant issues can guide treatment and quarantine. Polymerase chain reaction (PCR) is extremely accurate, but also reagent-hungry, slow, and has limited portability. Our lab uses Raman Spectroscopy to detect structural changes within plant tissues associated with the disease. We analyze our spectra using Multivariate statistical methods to predict the presence of disease. Our objective is to build platforms for Raman disease and stress detection in the field.


Nanoscale Structural Characterization of Biological Systems Using AFM-IR

The waxy cuticle of many plants acts as a barrier to disease and is an intriguing target for bioengineering renewable polymers. By analyzing intact wax, these properties can be better understood; however, most wax analysis methods involve altering the structure in some way, whether by melting, chemical extraction, or fractionation. Using Atomic Force Microscope Infrared Spectroscopy (AFM-IR), our group is probing intact wax to characterize the distribution of chemical moieties as well as host-pathogen interactions at the surface.


Plasmonic Catalysis at the Nanoscale

We developed Tip-Enhanced Raman Spectroscopy (TERS) to probe structure and dynamics of biological, photo- and electrocatalytic systems at nanoscale.  In a recent study, we demonstrated that plasmonically active zones of the tip shaft could contribute to the collected Tip-enhanced Raman (TER) signals, which can be an analogy to tip-broadening effect (TBE) in the atomic force microscope (AFM). Moreover, we applied TBE detecting facet-dependent catalytic activity of Au microplates (AuMPs). Our TERS images show the signals of the edge of AuMPs, which was composed of {110} and {100} facets with lower catalytic activity, were dominated by raw species (-NO2), while the reduction mostly took place at the basal part of AuMPs, corresponding to the {111} facet with higher catalytic activity.


Forensic Analysis of Artificial Hair Dyes

Hair is one of the most common types of physical evidence found at a crime scene. Forensic examination may suggest a connection between a suspect and a crime scene or a victim, or demonstrate an absence of such associations. Therefore, forensic analysis of hair evidence is invaluable to criminal investigations. We develop surface-enhanced Raman spectroscopy (SERS) for confirmatory identification of dyes on hair. Using SERS, we can (1) identify whether hair was artificially dyed or not, (2) determine if permanent or semi-permanent colorants were used, and (3) distinguish the commercial brands that are utilized to dye hair. Expanding upon these results, we continue developing SERS-based dye diagnostics that can be used to solve many important problems in criminalistics and cosmetics.


Recent Publications

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  1. Lee, KM, Yarbrough, D, Kozman, MM, Herrman, TJ, Park, J, Wang, R et al.. A rapid and convenient screening method for detection of restricted monensin, decoquinate, and lasalocid in animal feed by applying SERS and chemometrics. Food Chem. Toxicol. 2020; :111633.
    doi: 10.1016/j.fct.2020.111633. PubMed PMID:32738374. .

  2. Contreras, F, Ermolenkov, A, Kurouski, D. Infrared analysis of hair dyeing and bleaching history. Anal Methods. 2020;12 (29):3741-3747.
    doi: 10.1039/d0ay01068e. PubMed PMID:32729856. .

  3. Dou, T, Li, Z, Zhang, J, Evilevitch, A, Kurouski, D. Nanoscale Structural Characterization of Individual Viral Particles Using Atomic Force Microscope Infrared (AFM-IR) and Tip-Enhanced Raman Spectroscopy (TERS). Anal. Chem. 2020; :.
    doi: 10.1021/acs.analchem.0c01971. PubMed PMID:32683857. .

  4. Wang, CF, O'Callahan, BT, Kurouski, D, Krayev, A, Schultz, ZD, El-Khoury, PZ et al.. Suppressing Molecular Charging, Nanochemistry, and Optical Rectification in the Tip-Enhanced Raman Geometry. J Phys Chem Lett. 2020; :5890-5895.
    doi: 10.1021/acs.jpclett.0c01413. PubMed PMID:32619091. .

  5. Wang, R, Mangion, I, Makarov, AA, Kurouski, D. Use of Raman spectroscopy and size-exclusion chromatography coupled with HDX-MS spectroscopy for studying conformational changes of small proteins in solution. J Pharm Biomed Anal. 2020;189 :113399.
    doi: 10.1016/j.jpba.2020.113399. PubMed PMID:32574996. .

  6. Sanchez, L, Pant, S, Mandadi, K, Kurouski, D. Raman Spectroscopy vs Quantitative Polymerase Chain Reaction In Early Stage Huanglongbing Diagnostics. Sci Rep. 2020;10 (1):10101.
    doi: 10.1038/s41598-020-67148-6. PubMed PMID:32572139. PubMed Central PMC7308309.

  7. Li, Z, Wang, R, Kurouski, D. Nanoscale Photocatalytic Activity of Gold and Gold-Palladium Nanostructures Revealed by Tip-Enhanced Raman Spectroscopy. J Phys Chem Lett. 2020;11 (14):5531-5537.
    doi: 10.1021/acs.jpclett.0c01631. PubMed PMID:32568534. .

  8. Morey, R, Ermolenkov, A, Payne, WZ, Scheuring, DC, Koym, JW, Vales, MI et al.. Non-invasive identification of potato varieties and prediction of the origin of tuber cultivation using spatially offset Raman spectroscopy. Anal Bioanal Chem. 2020;412 (19):4585-4594.
    doi: 10.1007/s00216-020-02706-5. PubMed PMID:32451641. .

  9. Kurouski, D, Dazzi, A, Zenobi, R, Centrone, A. Infrared and Raman chemical imaging and spectroscopy at the nanoscale. Chem Soc Rev. 2020;49 (11):3315-3347.
    doi: 10.1039/c8cs00916c. PubMed PMID:32424384. .

  10. Sanchez, L, Baltensperger, D, Kurouski, D. Raman-Based Differentiation of Hemp, Cannabidiol-Rich Hemp, and Cannabis. Anal. Chem. 2020;92 (11):7733-7737.
    doi: 10.1021/acs.analchem.0c00828. PubMed PMID:32401504. .

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