Bruno Silva

Prof. Bruno Silva

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

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16 March 2017 in Fermentation
Verified
Journal Article
Open access
PDF file
DNDão Pedro de Carvalho Neto
Dão Pedro de Carvalho Neto
Gilberto Vinícius de Melo PereiraGilberto Vinícius de Melo Pereira
Gilberto Vinícius de Melo Pereira
VTValcineide O. A. Tanobe
Valcineide O. A. Tanobe
VSVANETE THOMAZ SOCCOL
VANETE THOMAZ SOCCOL
BSBruno Silva
Bruno Silva
CSCarlos Ricardo Soccol
Carlos Ricardo Soccol
The aim of this study was to evaluate the yeast diversity and physicochemical characteristics of spontaneous coffee bean fermentation conducted in the coffee-producing region in Cerrado Mineiro, Brazil. During 48 h of fermentation, yeast population increased from 6.60 to 7.89 log CFU·g−1, with concomitant pulp sugar consumption and organic acids production (mainly lactic (3.35 g·L−1) and acetic (1.27 g·L−1) acids). According to ITS-rRNA gene sequencing, yeast population was mainly represented by Saccharomyces sp., followed by Torulaspora delbrueckii, Pichia kluyveri, Hanseniaspora uvarum, H. vineae and Meyerozyma caribbica. SPME-GC-MS analysis revealed a total of 25 volatile organic compounds with predominance of hydrocarbons (9 compounds) and higher alcohols (6 compounds). The resulting fermented, roasted coffee beans were analyzed by diverse chemical analysis methods, including Fourier Transform Infrared (FTIR) spectroscopy and mineral and thermogravimetric analysis. The thermal decomposition of the coffee beans occurred in four stages between 90 and 390 °C, with significant mass loss (68%) after the second stage at 190 °C. FTIR spectroscopy confirmed the presence of the main organic functions associated with coffee aroma, such as aromatic acids, ketones, aldehydes and aliphatic esters. The results presented in this study enrich our knowledge concerning yeast diversity and physicochemical characteristics associated with coffee bean fermentation, and can be used to promote a controlled on-farm processing.

1 February 2008 in Journal of Chromatography B
Verified
Journal Article
Closed access
BSBruno Silva
Bruno Silva
FLFernando Mauro Lanças
Fernando Mauro Lanças
MQMaria Eugênia Costa Queiroz
Maria Eugênia Costa Queiroz

1 December 2018 in Food Bioscience
Verified
Journal Article
Closed access
DNDão Pedro de Carvalho Neto
Dão Pedro de Carvalho Neto
Gilberto Vinícius de Melo PereiraGilberto Vinícius de Melo Pereira
Gilberto Vinícius de Melo Pereira
AFAna M.O. Finco
Ana M.O. Finco
LLLuiz A.J. Letti
Luiz A.J. Letti
BSBruno Silva
Bruno Silva
CSCarlos Ricardo Soccol
Carlos Ricardo Soccol


1 May 2011 in Journal of Chromatography A
Verified
Journal Article
Closed access
ACAndréa R. Chaves
Andréa R. Chaves
BSBruno Silva
Bruno Silva
FLFernando M. Lanças
Fernando M. Lanças
MQMaria Eugênia Costa Queiroz
Maria Eugênia Costa Queiroz

1 July 2007 in Journal of Analytical Toxicology
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Journal Article
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PDF file
BSBruno Silva
Bruno Silva
RQRegina Helena Costa Queiroz
Regina Helena Costa Queiroz
MQMaria Eugênia Costa Queiroz
Maria Eugênia Costa Queiroz
A sensitive, selective, and reproducible solid-phase microextraction and liquid chromatographic (SPME-LC) method for simultaneous determination of mirtazapine, citalopram, paroxetine, fluoxetine, and sertraline in human plasma was developed, validated, and further applied to analyze plasma samples obtained from patients with depression. Important factors in the optimization of SPME efficiency are discussed, including the fiber coating, extraction time, pH, ionic strength, influence of plasma proteins, and desorption conditions. The limit of quantitation of the nontricyclic antidepressants in plasma varied from 25 to 50 ng/mL with a coefficient of variation lower than 5%. The response of the SPME-LC method for most of the drugs was linear over a dynamic range of 50 to 500 ng/mL, with all of them having correlation coefficients greater than 0.9970. The performance of the SPME-LC method allowed the nontricyclic antidepressants analyses in therapeutic levels.