Carlos José Leopoldo Constantino

Prof. Carlos José Leopoldo Constantino


Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 August 2021 in Journal of Raman Spectroscopy
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Journal Article
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MOMarcelo José dos Santos Oliveira
Marcelo José dos Santos Oliveira
CMCibely Martin
Cibely Martin
RRRafael Jesus Gonçalves Rubira
Rafael Jesus Gonçalves Rubira
Augusto Batagin-NetoAugusto Batagin-Neto
Augusto Batagin-Neto
CCCarlos José Leopoldo Constantino
Carlos José Leopoldo Constantino
RARicardo F. Aroca
Ricardo F. Aroca

17 March 2022 in Talanta
Verified
Journal Article
Closed access
MBMaria J. Bistaffa
Maria J. Bistaffa
SCSabrina Camacho
Sabrina Camacho
WPWallance Moreira Pazin
Wallance Moreira Pazin
CCCarlos José Leopoldo Constantino
Carlos José Leopoldo Constantino
OOOsvaldo N. Oliveira
Osvaldo N. Oliveira
PAPedro H.B. Aoki
Pedro H.B. Aoki

8 November 2018 in Sensors
Verified
Journal Article
Open access
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FGFaustino Reyes Gómez
Faustino Reyes Gómez
RRRafael Jesus Gonçalves Rubira
Rafael Jesus Gonçalves Rubira
SCSabrina Camacho
Sabrina Camacho
CMCibely Martin
Cibely Martin
RSRobson Silva
Robson Silva
Jorge Ricardo Mejía SalazarJorge Ricardo Mejía Salazar
Jorge Ricardo Mejía Salazar
The recent development of silver nanostars (Ag-NSs) is promising for improved surface-enhanced sensing and spectroscopy, which may be further exploited if the mechanisms behind the excitation of localized surface plasmon resonances (LSPRs) are identified. Here, we show that LSPRs in Ag-NSs can be obtained with finite-difference time-domain (FDTD) calculations by considering the nanostars as combination of crossed nanorods (Ag-NRs). In particular, we demonstrate that an apparent tail at large wavelengths ( λ ≳ 700 nm) observed in the extinction spectra of Ag-NSs is due to a strong dipolar plasmon resonance, with no need to invoke heterogeneity (different number of arms) effects as is normally done in the literature. Our description also indicates a way to tune the strongest LSPR at desired wavelengths, which is useful for sensing applications.

18 December 2019 in Sensors
Verified
Journal Article
Open access
PDF file
RRRafael Jesus Gonçalves Rubira
Rafael Jesus Gonçalves Rubira
SCSabrina Camacho
Sabrina Camacho
CMCibely Martin
Cibely Martin
Jorge Ricardo Mejía SalazarJorge Ricardo Mejía Salazar
Jorge Ricardo Mejía Salazar
FGFaustino Reyes Gómez
Faustino Reyes Gómez
CCCarlos José Leopoldo Constantino
Carlos José Leopoldo Constantino
Detection of the drug Levodopa (3,4-dihydroxyphenylalanine, L-Dopa) is essential for the medical treatment of several neural disorders, including Parkinson’s disease. In this paper, we employed surface-enhanced Raman scattering (SERS) with three shapes of silver nanoparticles (nanostars, AgNS; nanospheres, AgNP; and nanoplates, AgNPL) to detect L-Dopa in the nanoparticle dispersions. The sensitivity of the L-Dopa SERS signal depended on both nanoparticle shape and L-Dopa concentration. The adsorption mechanisms of L-Dopa on the nanoparticles inferred from a detailed analysis of the Raman spectra allowed us to determine the chemical groups involved. For instance, at concentrations below/equivalent to the limit found in human plasma (between 10−7–10−8 mol/L), L-Dopa adsorbs on AgNP through its ring, while at 10−5–10−6 mol/L adsorption is driven by the amino group. At even higher concentrations, above 10−4 mol/L, L-Dopa polymerization predominates. Therefore, our results show that adsorption depends on both the type of Ag nanoparticles (shape and chemical groups surrounding the Ag surface) and the L-Dopa concentration. The overall strategy based on SERS is a step forward to the design of nanostructures to detect analytes of clinical interest with high specificity and at varied concentration ranges.

28 January 2000 in Holzforschung
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Journal Article
Closed access
CCCarlos José Leopoldo Constantino
Carlos José Leopoldo Constantino
ADA. Dhanabalan
A. Dhanabalan
MCM. A. Cotta
M. A. Cotta
MPMarcelo Pereira-Da-Silva
Marcelo Pereira-Da-Silva
ACA. A. S. Curvelo
A. A. S. Curvelo
OOO. N. Oliveira
O. N. Oliveira
The morphological features of Langmuir-Blodgett (LB) films of pure lignin extracted from sugar cane bagasse and composites of lignin and cadmium stearate have been investigated using atomic force microscopy (AFM). Results indicated that despite the non-amphiphilic nature of lignin and associated relatively poor stability and transferability of the lignin monolayer, the surface of the film is smooth at the micron level and comparable to that of LB films from typical amphiphilic compounds. Distinct domain structures from lignin and cadmium stearate could be visualized in the composite LB film even in one monolayer thick LB films. The mean surface roughness increases with increasing numbers of layers

7 November 2014 in The Analyst
Verified
Journal Article
Closed access
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DVD. Volpati
D. Volpati
ESE. R. Spada
E. R. Spada
CCC. C. Plá Cid
C. C. Plá Cid
MSM. L. Sartorelli
M. L. Sartorelli
RAR. F. Aroca
R. F. Aroca
CCCarlos José Leopoldo Constantino
Carlos José Leopoldo Constantino
The unique properties of metallic nanostructures of coinage metals that can sustain localized surface plasmon resonances (LSPR) put them at the centre of plasmon-enhanced phenomena. The theory of plasmonic phenomena based on LSPR is well-established. However, the fabrication of plasmonic substrates, reproducibly, is still challenging for applications in surface-enhanced Raman scattering (SERS) and surface-enhanced fluorescence (SEF). In this work we describe well-ordered copper nanostructures (CuNSs), produced by electrodeposition and nanosphere lithography, as active substrates for SEF. After a detailed spectroscopic and microscopic characterization, CuNSs are successfully applied as SEF-active substrates using a well-known perylene derivative as a target molecule. The signal reproducibility from CuNS substrates was established by comparing the results against those obtained from a simply roughened Cu substrate. Under optimal conditions, signal variability is around 4%.