scholarly journals Potential of Surface Enhanced Raman Spectroscopy (SERS) in Therapeutic Drug Monitoring (TDM). A Critical Review

Biosensors ◽  
2016 ◽  
Vol 6 (3) ◽  
pp. 47 ◽  
Author(s):  
Aleksandra Jaworska ◽  
Stefano Fornasaro ◽  
Valter Sergo ◽  
Alois Bonifacio
Keyword(s):  
Raman Spectroscopy ◽  
Therapeutic Drug Monitoring ◽  
Drug Monitoring ◽  
Critical Review ◽  
Surface Enhanced Raman Spectroscopy ◽  
Therapeutic Drug ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Critical review of surface-enhanced Raman spectroscopy applications in the pharmaceutical field

2018 ◽  
Vol 147 ◽  
pp. 458-472 ◽  
Author(s):  
J. Cailletaud ◽  
C. De Bleye ◽  
E. Dumont ◽  
P.-Y. Sacré ◽  
L. Netchacovitch ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Critical Review ◽  
Surface Enhanced Raman Spectroscopy ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

scholarly journals Raman spectroscopy for detection of imatinib in plasma: A proof of concept

2015 ◽  
Vol 08 (05) ◽  
pp. 1550019 ◽  
Author(s):  
Sanhita Rath ◽  
Aditi Sahu ◽  
Vikram Gota ◽  
P. G. Martínez-Torres ◽  
J. L. Pichardo-Molina ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Trough Concentration ◽  
Surface Enhanced Raman Spectroscopy ◽  
Clinical Samples ◽  
Therapeutic Drug ◽  
Treatment Optimization ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Long Read ◽  
Objective Tool

Imatinib is the standard first line treatment for chronic myeloid leukemia (CML). Owing to dose-related toxicities of Imatinib such as neutropenia, there is scope for treatment optimization through therapeutic drug monitoring (TDM). Trough concentration of 1 μg/mL is considered the therapeutic threshhold. Existing methods for the detection of Imatinib in plasma are limited by long read out time and expensive instrumentation. Hence, Raman spectroscopy was explored as a rapid and objective tool for monitoring Imatinib concentration. Three approaches: conventional Raman spectroscopy (CRS), Drop coating deposition Raman (DCDR) spectroscopy and surface-enhanced Raman spectroscopy (SERS) were employed to detect the required trough concentration of 1 μg/mL and above. Detection of therapeutically relevant concentrations (1 μg/mL) using SERS and suitable nanoparticle substrates has been demonstrated. Prospectively, rigorous validation using clinical samples is necessary to confirm the utility of this approach in routine clinical usage.

scholarly journals Comparison of 4-Mercaptobenzoic Acid Surface-Enhanced Raman Spectroscopy-Based Methods for pH Determination in Cells

2020 ◽  
Vol 74 (11) ◽  
pp. 1423-1432
Author(s):  
Brian T. Scarpitti ◽  
Amy M. Morrison ◽  
Marina Buyanova ◽  
Zachary D. Schultz
Keyword(s):  
Raman Spectroscopy ◽  
Frequency Shift ◽  
Intracellular Ph ◽  
Surface Enhanced Raman Spectroscopy ◽  
Therapeutic Drug ◽  
High Signal ◽  
Signal To Noise ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
In Cells

Measurements of cellular pH are used to infer information such as stage of cell cycle, presence of cancer and other diseases, as well as delivery or effect of a therapeutic drug. Surface-enhanced Raman spectroscopy (SERS) of nanoparticle-based pH probes have been used to interrogate intracellular pH, with the significant advantage of avoiding photobleaching compared to fluorescent indicators. 4-Mercaptobenzoic acid (MBA) is a commonly used pH-sensitive reporter molecule. Intracellular pH sensing by SERS requires analysis of the observed MBA spectrum and spectral interference can affect the pH determination. Background from common cell containers, imaging too few particles, signal-to-noise ratios, and degradation of reporter molecules are among the factors that may alter appropriate SERS-based pH determination in cells. Here, we have compared common methods of spectral analysis to see how different factors alter the calculated pH in Raman maps of MBA functionalized Au nanostars in SW620 cancer cells. The methods included in our comparison use the relative intensity of the ν(COO–) stretch, chemometric analysis of the ν8a mode, and analyzing the frequency shift of the ν8a mode. These methods show different sensitivity to some of these sources of error in live cell experiments. pH determination based on Raman frequency shift appears to give a more reliable pH determination, though in high signal-to-noise environments, intensity ratios may provide better sensitivity to small changes in pH for cellular imaging.

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