Characteristics volatiles of cassava flours and their relationship to parameters other, process and geographical origin: a preliminary study

Abstract

The aim of this study was the physicochemical characterization of traditional cassava flours from Copioba Valley in Reconcavo Baiano (Northeast Brazil). Samples were collected in flour houses and analyzed by official methods of proximate composition and chromatography and spectroscopy for fatty acids and volatile compounds. Regardless of geographical origin (inside and outside the Valley) and processing type (Copioba and Common flour), there were no significant differences in water activity, ash, crude protein, starch, carbohydrates or acidity. By contrast, significant differences were observed in moisture, particle size, total lipids, palmitic acid and volatile compounds, mainly nonanal. Discriminant classification by principal component analysis according to origin and processing was obtained using this differentiation. These parameters are important for associations of reputation, authenticity and differentiation with the Protected Geographical Indication of Copioba cassava flours.

Establishment of fingerprints and determination of various ingredients of yanlishuang pills by GC-MS

“…The analysis of shared peaks can reflect the type and quantity of chemical components contained in the drug more comprehensively and thus the quality of the drug, and it is widely used in the quality evaluation of Chinese pharmaceutical preparations (Telloli et al, 2023;Wei et al, 2021). In recent years, GC-MS has been widely used to analyze volatile components (Pascoal et al, 2022;Garruti et al, 2021). Therefore, in this study, GC-MS was used to establish fingerprint of the Yanlishuang Pills and to determine the content of the main active ingredients camphor, menthone, borneol, and menthol, with the aim of more comprehensively ensuring the stable quality, batch-tobatch consistency, and safe and effective clinical use of this preparation by combining multi-indicator component content determination with fingerprint analysis.…”