Comparative Computational and Experimental Detection of Adenosine Using Ultrasensitive Surface-Enhanced Raman Spectroscopy

To better understand detection and monitoring of the important neurotransmitter adenosine at physiological levels, this study combines quantum chemical density functional modeling and ultrasensitive surface-enhanced Raman spectroscopic (SERS) measurements. Combined simulation results and experimenta...

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Main Authors: Emma M. Sundin, John D. Ciubuc, Kevin E. Bennet, Katia Ochoa, Felicia S. Manciu
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/8/2696
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author Emma M. Sundin
John D. Ciubuc
Kevin E. Bennet
Katia Ochoa
Felicia S. Manciu
author_facet Emma M. Sundin
John D. Ciubuc
Kevin E. Bennet
Katia Ochoa
Felicia S. Manciu
author_sort Emma M. Sundin
collection DOAJ
description To better understand detection and monitoring of the important neurotransmitter adenosine at physiological levels, this study combines quantum chemical density functional modeling and ultrasensitive surface-enhanced Raman spectroscopic (SERS) measurements. Combined simulation results and experimental data for an analyte concentration of about 10−11 molar indicate the presence of all known molecular forms resulting from adenosine’s complex redox-reaction. Detailed analysis presented here, besides assessing potential Raman signatures of these adenosinic forms, also sheds light on the analytic redox process and voltammetric detection. Examples of adenosine Raman fingerprints for different molecular orientations with respect to the SERS substrate are the vibrational line around 920 ± 10 cm−1 for analyte physisorption through the carbinol moiety and around 1600 ± 20 cm−1 for its fully oxidized form. However, both hydroxyl/oxygen sites and NH2/nitrogen sites contribute to molecule’s interaction with the SERS environment. Our results also reveal that contributions of partially oxidized adenosine forms and of the standard form are more likely to be detected with the first recorded voltammetric oxidation peak. The fully oxidized adenosine form contributes mostly to the second peak. Thus, this comparative theoretical–experimental investigation of adenosine’s vibrational signatures provides significant insights for advancing its detection, and for future development of opto-voltammetric biosensors.
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spelling doaj.art-aade915977284e17a3c4c6b781661dae2022-12-22T03:09:58ZengMDPI AGSensors1424-82202018-08-01188269610.3390/s18082696s18082696Comparative Computational and Experimental Detection of Adenosine Using Ultrasensitive Surface-Enhanced Raman SpectroscopyEmma M. Sundin0John D. Ciubuc1Kevin E. Bennet2Katia Ochoa3Felicia S. Manciu4Department of Physics, University of Texas at El Paso, El Paso, TX 79968, USADepartment of Physics, University of Texas at El Paso, El Paso, TX 79968, USADivision of Engineering, Department of Neurologic Surgery, Mayo Clinic, Rochester, MN 55905, USADepartment of Physics, University of Texas at El Paso, El Paso, TX 79968, USADepartment of Physics, University of Texas at El Paso, El Paso, TX 79968, USATo better understand detection and monitoring of the important neurotransmitter adenosine at physiological levels, this study combines quantum chemical density functional modeling and ultrasensitive surface-enhanced Raman spectroscopic (SERS) measurements. Combined simulation results and experimental data for an analyte concentration of about 10−11 molar indicate the presence of all known molecular forms resulting from adenosine’s complex redox-reaction. Detailed analysis presented here, besides assessing potential Raman signatures of these adenosinic forms, also sheds light on the analytic redox process and voltammetric detection. Examples of adenosine Raman fingerprints for different molecular orientations with respect to the SERS substrate are the vibrational line around 920 ± 10 cm−1 for analyte physisorption through the carbinol moiety and around 1600 ± 20 cm−1 for its fully oxidized form. However, both hydroxyl/oxygen sites and NH2/nitrogen sites contribute to molecule’s interaction with the SERS environment. Our results also reveal that contributions of partially oxidized adenosine forms and of the standard form are more likely to be detected with the first recorded voltammetric oxidation peak. The fully oxidized adenosine form contributes mostly to the second peak. Thus, this comparative theoretical–experimental investigation of adenosine’s vibrational signatures provides significant insights for advancing its detection, and for future development of opto-voltammetric biosensors.http://www.mdpi.com/1424-8220/18/8/2696surface-enhanced Raman spectroscopytheoretical calculationsadenosine detectionsilver nanocolloidslabel-free optical biosensors
spellingShingle Emma M. Sundin
John D. Ciubuc
Kevin E. Bennet
Katia Ochoa
Felicia S. Manciu
Comparative Computational and Experimental Detection of Adenosine Using Ultrasensitive Surface-Enhanced Raman Spectroscopy
Sensors
surface-enhanced Raman spectroscopy
theoretical calculations
adenosine detection
silver nanocolloids
label-free optical biosensors
title Comparative Computational and Experimental Detection of Adenosine Using Ultrasensitive Surface-Enhanced Raman Spectroscopy
title_full Comparative Computational and Experimental Detection of Adenosine Using Ultrasensitive Surface-Enhanced Raman Spectroscopy
title_fullStr Comparative Computational and Experimental Detection of Adenosine Using Ultrasensitive Surface-Enhanced Raman Spectroscopy
title_full_unstemmed Comparative Computational and Experimental Detection of Adenosine Using Ultrasensitive Surface-Enhanced Raman Spectroscopy
title_short Comparative Computational and Experimental Detection of Adenosine Using Ultrasensitive Surface-Enhanced Raman Spectroscopy
title_sort comparative computational and experimental detection of adenosine using ultrasensitive surface enhanced raman spectroscopy
topic surface-enhanced Raman spectroscopy
theoretical calculations
adenosine detection
silver nanocolloids
label-free optical biosensors
url http://www.mdpi.com/1424-8220/18/8/2696
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