Natural starches obtained by fruit seeds have been a subject of studies because of their applications, as a consequence of their chemical properties. As it is known, the fruits depend on the geographic region. Because of this, several factors affect the seed starches nature, such as granules size, morphology, components, and composition. Thus, to better understand starch properties, it is necessary to investigate the chemical behavior of these factors. This work focused on the chemical components and molecular dynamic behavior of the Dipterxy Alata Vogel (cumbaru) starch, because this fruit is very popular and is used in abundance for people because they think that it is good for some kinds of diseases. The main chemical components and the molecular dynamics of starch from the Dipterxy Alata Vogel were studied by applying solid-state 13 C nuclear magnetic resonance spectroscopy (NMR).
Developing a methodology of analysis for the identification of the components presented in natural resins without a previous isolation or treatment, we first chose to use liquid nuclear magnetic resonance(NMR) to assign the main components. However, solid-state NMR techniques give much more information about the chemical components presents in the resins than solution NMR, so we changed the methodology. The first approach must be the application of solid-state NMR techniques and continuation of the identification process by analysis of the data obtained.
The structural assignment of amescla resin was carried out using a methodology already established in a previous work published by Tavares and Silva. From the methodology, three structural fragments were determined, allowing us to conclude that this natural resin was polymerized from the double bond localized in the middle of the aliphatic chain.
Objective: The objective of this study is to evaluate the profile of medicine usage in a Psychosocial Support Center type II (PSC), in the city of Jaboatão dos Guararapes-PE, Brazil. Methods: This is a retrospective cross-sectional descriptive study with a quantitative approach. The information obtained for the study came from the analysis of medical records of patients admitted to the institution from January to August 2015. A total of 157 medical records were analyzed, observing to sociodemographic, clinical and medication use variables. Results: There was a predominance of female patients, 57.25% (male 42.75%). Most of the participants were single, with incomplete elementary education, aged between 30-39 years. Most of them had previously been admitted to psychiatric hospitals. From the total number of users who reached the PSC, 60.5% were referred by the Psychosocial Care Network. The most frequent diagnoses, according to the International Statistical Classification of Diseases and Related Health Problems (ICD), were: schizophrenia, schizotypic disorders and delusional disorders (F20 to F29), and affective mood disorders (F30-F39). It was found that 99.4% of patients used at least 1 medication, which was used twice daily (59.6%). The most prescribed class of drugs was the antipsychotics, mainly chlorpromazine, haloperidol and risperidone. From the total prescribed drugs, 83.3% were in accordance with the Brazilian Common Denomination 85% of them were present in the municipal list of essential drugs and 97% were administered orally. Conclusion: The results found in this study were satisfactory. Thus, it was possible to verify that the medicines are great allies in the psychosocial treatment, presenting as a widely-used resource.
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