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Measurement of Glucose by
Surface Enhanced Raman Spectroscopy
Nuzhet Nihaar Nasir Ahamed
TOPICS TO BE COVERED
2
Why is measuring glucose important?
• To understand effect of food in blood
• To manage diabetes
• To help diabetic patients know their glycemic levels
• To ensure safe delivery for pregnant diabetic women
Glucose measurement  helps to control diabetes
3
Surface Enhanced Raman Spectroscopy
• Principle  Raman Scattering
• Raman Spectrum  obtained by directing single wavelength of light and collecting the resulting
scattered light.
Modern Raman Spectroscopy – A Practical Approach W.E. Smith and G. Dent 2005 John Wiley & Sons, Ltd ISBNs: 0-471-49668-5 (HB); 0-471-49794-0 (PB)
Vibrational and Rotational
frequencies of a molecule are
characteristic of the molecule
 Helps to identify the molecules
4
Surface Enhanced Raman Spectroscopy
SERS increases intensity of Raman signal when target analyte
molecules are adsorbed on the nanostructured metal substrate. 5
Surface Enhanced Raman Spectroscopy
Why SERS?
• To overcome disadvantages of Raman Spectroscopy
o Underdeveloped technique
o Sample degradation
• Enormous increase in intensities of Raman signals
• Measures adsorption of molecules on nanostructures
Mechanisms of intensity enhancement
• Electromagnetic enhancement
- Incident light  creates localized surface plasmons  plasmon oscillates  scattering increases
with perpendicular oscillations
• Chemical enhancement
- Incident light  Chemisorption of the surface  Charge transfer  Increases scattering
6
Surface Enhanced Raman Spectroscopy
Instrumentation
Components
• monochromatic laser light source
• band-pass filter
• series of steering, focusing optics
• collection optics
• spectrometer
• CCD detector
Stuart, A Douglas; Walsh, T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2006, 78, 7211-7215.
7
Review of article 1
Glucose Sensing Using Near-Infrared Surface-Enhanced Raman Spectroscopy:
Gold Surfaces, 10-Day Stability, and Improved Accuracy
8
Review of article 1
Sample Preparation
Schematic of sensing surface.
Preparation of Ag/Au SAM Partitioning and de-partitioning of the SAM by glucose
9
Stuart, A Douglas; Zhang, Xiaoyu, Lyandres, Olga; T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2005, 77, 4013-4019.
Review of article 1
Reflectance spectroscopy
λex = 750nm
λmin for the AgFON = 738nm
λmin for the AuFON = 778nm
AuFON is therefore better tuned to higher λex
10
Stuart, A Douglas; Zhang, Xiaoyu, Lyandres, Olga; T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2005, 77, 4013-4019.
Review of article 1
Electrochemical measurements
CV for days 1 (black), 5
(red), and 10 (blue) on
the Ag electrode
CV for days 1 (black), 6
(red), and 10 (blue) on
the Au electrode
Percentages of
current maximum vary
with time
SAMs are more stable and better ordered on gold than silver surfaces
11
Stuart, A Douglas; Zhang, Xiaoyu, Lyandres, Olga; T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2005, 77, 4013-4019.
Review of article 1
SERS spectroscopy
SERS Spectra
Time course of the intensity to the
∼699-cm-1 peak
AgFON AuFON
AgFONs rapidly lost signal
AuFONs remained stable for 10 days
12
Stuart, A Douglas; Zhang, Xiaoyu, Lyandres, Olga; T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2005, 77, 4013-4019.
Review of article 1
Clarke error grid
• Compare the accuracy and performance of glucose sensors in the clinically relevant range
• Divided into 5 regions
(A)clinically correct measurement and treatment
(B) benign errors or no treatment
(C) incorrect measurements leading to overcorrection of acceptable glucose levels
(D)dangerous failure to detect and treat
(E) treatments that further aggravate abnormal glucose levels
Calibration plot Validation plot
94% of the data points in the
calibration plot and 91% of data
points in the prediction plot fall
within the acceptable region.
Stuart, A Douglas; Zhang, Xiaoyu, Lyandres, Olga; T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2005, 77, 4013-4019.
13
Review of article 1
Conclusion
• AuFONs exhibit surface plasmon resonances at longer
wavelengths than similar AgFONs
• SAM is more stable on the gold surface by both cyclic voltammetry
and SERS spectroscopy
• AuFON sensor is capable of making acceptably accurate
concentration measurements even when challenged with a diverse
sample population
14
Review of article 2
Transcutaneous Glucose Sensing by Surface-Enhanced Spatially Offset Raman
Spectroscopy (SESORS) in a Rat Model
15
Review of article 2
Sample Preparation
Preparation of Ag Self Assembled Monolayer
16
Yuen, M Jonathan; Shah, C Nilam; Glucksberg, R Mathew; Walsh, T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2010, 82, 8382–8385
Review of article 2
Spectroscopic Measurement
SERS spectra
SESORS spectra
• SERS signal is attenuated by approximately 95% due to presence of skin
• But, all spectral features were easily observed with high signal to noise ratio
17
Yuen, M Jonathan; Shah, C Nilam; Glucksberg, R Mathew; Walsh, T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2010, 82, 8382–8385
Review of article 2
Clarke error grid
• 7 of the 9 validation points fell within the A and B ranges
• Few deviations were observed but it was improved by increasing the number of data
points in the calibration
18
Yuen, M Jonathan; Shah, C Nilam; Glucksberg, R Mathew; Walsh, T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2010, 82, 8382–8385
Review of article 2
Conclusion
Despite the numerical disparity, SERS sensor is viable in vivo and can detect glucose
concentration fluctuations over time.
19
Yuen, M Jonathan; Shah, C Nilam; Glucksberg, R Mathew; Walsh, T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2010, 82, 8382–8385
Limitations of SERS
• Large refractive index change between skin and air immediately produces intensity losses due to back
reflections
• Light is further attenuated due to multiple scattering and absorption within skin layers.
• Placement of the SERS-active surface in vivo
• The natural inflammation and foreign body response (FBR) from the human body
Future Developmental Steps
• Developing next generation substrates to obtain SERS signal amplification by 100 times
• New surface modification strategies to improve reproducibility of SERS sensor chip
• Explore modified field surfaces to expand the number of biological targets accessible to SERS
20
Questions?
21
Thank you
for
your kind attention
22

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Surface Enhanced Raman Spectroscopy

  • 1. 1 Measurement of Glucose by Surface Enhanced Raman Spectroscopy Nuzhet Nihaar Nasir Ahamed
  • 2. TOPICS TO BE COVERED 2
  • 3. Why is measuring glucose important? • To understand effect of food in blood • To manage diabetes • To help diabetic patients know their glycemic levels • To ensure safe delivery for pregnant diabetic women Glucose measurement  helps to control diabetes 3
  • 4. Surface Enhanced Raman Spectroscopy • Principle  Raman Scattering • Raman Spectrum  obtained by directing single wavelength of light and collecting the resulting scattered light. Modern Raman Spectroscopy – A Practical Approach W.E. Smith and G. Dent 2005 John Wiley & Sons, Ltd ISBNs: 0-471-49668-5 (HB); 0-471-49794-0 (PB) Vibrational and Rotational frequencies of a molecule are characteristic of the molecule  Helps to identify the molecules 4
  • 5. Surface Enhanced Raman Spectroscopy SERS increases intensity of Raman signal when target analyte molecules are adsorbed on the nanostructured metal substrate. 5
  • 6. Surface Enhanced Raman Spectroscopy Why SERS? • To overcome disadvantages of Raman Spectroscopy o Underdeveloped technique o Sample degradation • Enormous increase in intensities of Raman signals • Measures adsorption of molecules on nanostructures Mechanisms of intensity enhancement • Electromagnetic enhancement - Incident light  creates localized surface plasmons  plasmon oscillates  scattering increases with perpendicular oscillations • Chemical enhancement - Incident light  Chemisorption of the surface  Charge transfer  Increases scattering 6
  • 7. Surface Enhanced Raman Spectroscopy Instrumentation Components • monochromatic laser light source • band-pass filter • series of steering, focusing optics • collection optics • spectrometer • CCD detector Stuart, A Douglas; Walsh, T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2006, 78, 7211-7215. 7
  • 8. Review of article 1 Glucose Sensing Using Near-Infrared Surface-Enhanced Raman Spectroscopy: Gold Surfaces, 10-Day Stability, and Improved Accuracy 8
  • 9. Review of article 1 Sample Preparation Schematic of sensing surface. Preparation of Ag/Au SAM Partitioning and de-partitioning of the SAM by glucose 9 Stuart, A Douglas; Zhang, Xiaoyu, Lyandres, Olga; T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2005, 77, 4013-4019.
  • 10. Review of article 1 Reflectance spectroscopy λex = 750nm λmin for the AgFON = 738nm λmin for the AuFON = 778nm AuFON is therefore better tuned to higher λex 10 Stuart, A Douglas; Zhang, Xiaoyu, Lyandres, Olga; T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2005, 77, 4013-4019.
  • 11. Review of article 1 Electrochemical measurements CV for days 1 (black), 5 (red), and 10 (blue) on the Ag electrode CV for days 1 (black), 6 (red), and 10 (blue) on the Au electrode Percentages of current maximum vary with time SAMs are more stable and better ordered on gold than silver surfaces 11 Stuart, A Douglas; Zhang, Xiaoyu, Lyandres, Olga; T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2005, 77, 4013-4019.
  • 12. Review of article 1 SERS spectroscopy SERS Spectra Time course of the intensity to the ∼699-cm-1 peak AgFON AuFON AgFONs rapidly lost signal AuFONs remained stable for 10 days 12 Stuart, A Douglas; Zhang, Xiaoyu, Lyandres, Olga; T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2005, 77, 4013-4019.
  • 13. Review of article 1 Clarke error grid • Compare the accuracy and performance of glucose sensors in the clinically relevant range • Divided into 5 regions (A)clinically correct measurement and treatment (B) benign errors or no treatment (C) incorrect measurements leading to overcorrection of acceptable glucose levels (D)dangerous failure to detect and treat (E) treatments that further aggravate abnormal glucose levels Calibration plot Validation plot 94% of the data points in the calibration plot and 91% of data points in the prediction plot fall within the acceptable region. Stuart, A Douglas; Zhang, Xiaoyu, Lyandres, Olga; T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2005, 77, 4013-4019. 13
  • 14. Review of article 1 Conclusion • AuFONs exhibit surface plasmon resonances at longer wavelengths than similar AgFONs • SAM is more stable on the gold surface by both cyclic voltammetry and SERS spectroscopy • AuFON sensor is capable of making acceptably accurate concentration measurements even when challenged with a diverse sample population 14
  • 15. Review of article 2 Transcutaneous Glucose Sensing by Surface-Enhanced Spatially Offset Raman Spectroscopy (SESORS) in a Rat Model 15
  • 16. Review of article 2 Sample Preparation Preparation of Ag Self Assembled Monolayer 16 Yuen, M Jonathan; Shah, C Nilam; Glucksberg, R Mathew; Walsh, T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2010, 82, 8382–8385
  • 17. Review of article 2 Spectroscopic Measurement SERS spectra SESORS spectra • SERS signal is attenuated by approximately 95% due to presence of skin • But, all spectral features were easily observed with high signal to noise ratio 17 Yuen, M Jonathan; Shah, C Nilam; Glucksberg, R Mathew; Walsh, T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2010, 82, 8382–8385
  • 18. Review of article 2 Clarke error grid • 7 of the 9 validation points fell within the A and B ranges • Few deviations were observed but it was improved by increasing the number of data points in the calibration 18 Yuen, M Jonathan; Shah, C Nilam; Glucksberg, R Mathew; Walsh, T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2010, 82, 8382–8385
  • 19. Review of article 2 Conclusion Despite the numerical disparity, SERS sensor is viable in vivo and can detect glucose concentration fluctuations over time. 19 Yuen, M Jonathan; Shah, C Nilam; Glucksberg, R Mathew; Walsh, T Joseph; Duyne, Van,P Richard; Dept of Chemistry and Biomed Engg, Anal. Chem. 2010, 82, 8382–8385
  • 20. Limitations of SERS • Large refractive index change between skin and air immediately produces intensity losses due to back reflections • Light is further attenuated due to multiple scattering and absorption within skin layers. • Placement of the SERS-active surface in vivo • The natural inflammation and foreign body response (FBR) from the human body Future Developmental Steps • Developing next generation substrates to obtain SERS signal amplification by 100 times • New surface modification strategies to improve reproducibility of SERS sensor chip • Explore modified field surfaces to expand the number of biological targets accessible to SERS 20
  • 22. Thank you for your kind attention 22