Quantitative chemical profile and multivariate statistical analysis of alembic distilled sugarcane spirit fractions
Felipe Augusto Thobias Serafim,Silmara F. Buchviser,Fernando Valadares Novaes,Douglas Wagner Franco +3 more
TL;DR: In this paper, the results were evaluated using analysis of variance (ANOVA), Tukey's test, principal component analysis (PCA), hierarchical cluster analysis (HCA), and linear discriminant analysis (LDA).
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Abstract: As concentracoes de 39 compostos orgânicos foram determinadas em tres fracoes (cabeca, coracao e cauda) obtidas da destilacao em alambique do caldo de cana fermentado. Os resultados foram avaliados utilizando-se analise de variância (ANOVA), teste de Tukey, analise de componentes principais (PCA), agrupamento hierarquico (HCA) e analise discriminante linear (LDA). De acordo com PCA e HCA, os dados experimentais conduzem a formacao de tres agrupamentos. As fracoes de cabeca deram origem a um grupo mais definido. As fracoes coracao e cauda apresentaram alguma sobreposicao coerente com sua composicao em acidos. As habilidades preditivas de calibracao e validacao dos modelos gerados pela LDA para a classificacao das tres fracoes foram de 90,5 e 100%, respectivamente. Este modelo reconheceu como coracao doze de treze cachacas comerciais (92,3%) com boas caracteristicas sensoriais, apresentando potencial para a orientacao do processo de cortes. Concentrations of 39 organic compounds were determined in three fractions (head, heart and tail) obtained from the pot still distillation of fermented sugarcane juice. The results were evaluated using analysis of variance (ANOVA), Tukey's test, principal component analysis (PCA), hierarchical cluster analysis (HCA) and linear discriminant analysis (LDA). According to PCA and HCA, the experimental data lead to the formation of three clusters. The head fractions give rise to a more defined group. The heart and tail fractions showed some overlap consistent with its acid composition. The predictive ability of calibration and validation of the model generated by LDA for the three fractions classification were 90.5 and 100%, respectively. This model recognized as the heart twelve of the thirteen commercial cachacas (92.3%) with good sensory characteristics, thus showing potential for guiding the process of cuts.
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Citations
Chemical data as markers of the geographical origins of sugarcane spirits.
TL;DR: The proposed approach based on chemical data satisfactorily predicted the cachaças' geographic origins and identified five groups, including MG and SP samples and between RJ and PB samples.
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Characterization of Volatile Compounds and Flavor in Spirits of Old Apple and Pear Cultivars from the Balkan Region
Nermina Spaho,Fuad Gaši,Erich Leitner,M. Blesic,Asima Akagić,Sanja Oručević Žuljević,Mirsad Kurtović,Davorka Đukić Ratković,Mirela Smajic Murtic,Milica Fotirić Akšić,Mekjell Meland +10 more
TL;DR: In this article, a study was conducted with the aim of developing fruit spirits by utilizing old (autochthonous) apple and pear cultivars that can be attractive to both consumers and producers.
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Overview of Analytical Techniques Associated with Pattern Recognition Methods in Sugarcane Spirits Samples
TL;DR: Assessments discussed include promising results for the discrimination among samples, verification of adulteration, tendencies in sensorial characteristics as well as relationships between chemical information and the geographical origins.
16
GC‐MS analysis of ethyl carbamate in distilled sugar cane spirits from the northern and southern regions of Minas Gerais
José Masson,Maria das Graças Cardoso,Lidiany Mendonça Zacaroni,Jeancarlo Pereira dos Anjos,Wilder Douglas Santiago,Ana Maria de Resende Machado,Adelir Aparecida Saczk,David Lee Nelson +7 more
TL;DR: In this article, gas chromatography coupled to mass spectrometry (GC-MS) was applied for the determination of ethyl carbamate in sugar cane spirits in the northern and southern regions of the state of Minas Gerais in Brazil.
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FT-RAMAN methodology for the monitoring of honeys' spirit distillation process
TL;DR: The results suggest that the honey spirit had good quality concerning the volatile composition and methanol was not detected in any sample and FT-RAMAN is promising for the online monitoring of the distillation process in order to improve the final quality of this beverage.
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TL;DR: The Six Habits of an Effective Chemometrician and its Applications: Pattern Recognition, Multivariate Calibration and Prediction.