scholarly journals SERS study on myeloperoxidase and its immunocomplex: Identification of binding interactions

2010 ◽  
Vol 24 (3-4) ◽  
pp. 183-190
Author(s):  
Elisabeth S. Papazoglou ◽  
Sundar Babu ◽  
David R. Hansberry ◽  
Sakya Mohapatra ◽  
Chirag Patel
Keyword(s):  
Amino Acids ◽  
Raman Spectroscopy ◽  
Conformational Changes ◽  
Surface Enhanced Raman Spectroscopy ◽  
Biological Molecules ◽  
Sers Spectrum ◽  
Amino Acid Residues ◽  
Igg Antibodies ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Surface Enhanced Raman Spectroscopy (SERS) has demonstrated significant benefit in the identification of biological molecules. In this paper we have examined how to identify and differentiate the 150 kDa protein myeloperoxidase (MPO) from its corresponding antibody (Ab) and their immunocomplex through the use of SERS. The SERS signal of these biological molecules was enabled by 40 nm gold nanoparticles. The SERS spectra for both MPO and the Ab (an IgG molecule) demonstrated results consistent with previous published work on the Raman spectra of MPO and IgG antibodies. The immunocomplex SERS spectra showed peak shifts and intensity variations that could be attributed to conformational changes that occur during immunocomplex formation. Several key spectral areas have been identified which correspond to specific amino acids being shielded from undergoing resonance while new amino acid residues are made visible in the SERS spectrum of the immunocomplex and could be a result of conformational binding. These results indicate that SERS can be used to identify binding events and distinguish an immunocomplex from its individual components.

scholarly journals Identifying and detecting Entomopathogenic fungi using Surface-enhanced Raman spectroscopy / Identificação e detecção de fungos entomopatogênicos utilizando Superficie-enhanced Raman espalhamento

2021 ◽  
Vol 4 (4) ◽  
pp. 4833-4851
Author(s):  
Javier Christian Ramirez Perez ◽  
Tatiana Alves Dos Reis ◽  
Marcia de Almeida Rizzutto
Keyword(s):  
Raman Spectroscopy ◽  
Entomopathogenic Fungi ◽  
Insect Pests ◽  
Surface Enhanced Raman Spectroscopy ◽  
Sers Spectrum ◽  
Natural Ecosystem ◽  
Fungal Entomopathogens ◽  
Short Period ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

In the natural ecosystem, fungal entomopathogens are the most efficient biocontrol agents against insect pests. In this study we offer an alternative for conventional fungal diagnostic, Surface-enhanced Raman spectroscopy (SERS) technique combine with principal component analysis (PCA) for detection and identification three entomopathogenic fungi, namely, IBCB 66 Beauveria bassiana, IBCB 130 Isaria fumosorosea, and IBCB 425 Metarhizium anisopliae. Using a simple preparation approach, highly active silver nanoparticles suitable for detecting complex biomolecules were produced for application in the SERS technique. Entomopathogens fungi produced highly enhanced and reproducible Raman signals based on their biochemical composition due to the high density of hot spots at the confluence of silver nano-aggregates, allowing the three entomopathogens species to be differentiated in the SERS spectrum fingerprint region, 550-1700 cm-1. The SERS method, along with PCA analysis, accounted for over 99 % of total variance and allowed for very high probability discrimination between the three entomopathogens, allowing taxonomic affiliation to be determined in a short period of time.  These findings suggest that the SERS methodology can be used to develop a new, fast, accurate, and cost-effective diagnostic method for fungal entomopathogens.

NIR surface enhanced Raman spectroscopy and bands assignment by DFT calculations of non-natural β-amino acids

2005 ◽  
Vol 310 (1-3) ◽  
pp. 189-199 ◽  
Author(s):  
T. Iliescu ◽  
D. Maniu ◽  
V. Chis ◽  
F.D. Irimie ◽  
Cs. Paizs ◽  
...  
Keyword(s):  
Amino Acids ◽  
Raman Spectroscopy ◽  
Dft Calculations ◽  
Surface Enhanced Raman Spectroscopy ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Potential-Averaged Surface-Enhanced Raman Spectroscopy

1996 ◽  
Vol 50 (12) ◽  
pp. 1569-1577 ◽  
Author(s):  
Z. Q. Tian ◽  
W. H. Li ◽  
B. W. Mao ◽  
S. Z. Zou ◽  
J. S. Gao
Keyword(s):  
Raman Spectroscopy ◽  
Active Sites ◽  
Single Channel ◽  
Pulse Height ◽  
Surface Enhanced Raman Spectroscopy ◽  
Sers Spectrum ◽  
Surface Species ◽  
Electrode Potentials ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

This paper describes a novel technique called potential-averaged surface-enhanced Raman spectroscopy (PASERS) which has several advantages over SERS. A PASERS spectrum is acquired when the electrode is rapidly modulated between two potentials by applying a square-wave voltage. The potential-averaged SERS spectrum contains all the information on the surface species at the two modulated potentials, and each individual SERS spectrum can then be extracted by deconvolution. By properly choosing the two modulating potentials, one can obtain SERS spectra of surface species at electrode potentials where SERS-active sites are normally unstable. PASERS also leads to a unique way of studying complex interfacial kinetic processes by controlling the voltage pulse height, frequency, and shape. Moreover, the measurement of time-resolved spectra in the very low vibrational frequency region can be achieved by PASERS with the use of a conventional scanning spectrometer with a single-channel detector. In this paper, the main advantages of PASERS are illustrated by studying two typical SERS systems, i.e., thiocyanate ion and thiourea adsorbed at silver electrodes, respectively. It is shown that the potential-averaging method can be applied as a common method to many other existing spectroelectrochemical techniques.

Stable Ag@Oxides Nanoplates for Surface-Enhanced Raman Spectroscopy of Amino Acids

2014 ◽  
Vol 6 (11) ◽  
pp. 8853-8858 ◽  
Author(s):  
Peng Du ◽  
Lan Ma ◽  
Yinghui Cao ◽  
Di Li ◽  
Zhenyu Liu ◽  
...  
Keyword(s):  
Amino Acids ◽  
Raman Spectroscopy ◽  
Surface Enhanced Raman Spectroscopy ◽  
Surface Enhanced ◽  
Surface Enhanced Raman
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