PHYSICOCHEMICAL CHARACTERISTICS OF SUGARCANE JUICES SOLD AT THREE DIFFERENT POINTS IN CUIABÁ - MT
Background: Sugarcane juice is an excellent substrate for the growth of a large and diverse microbiota, and poor quality of it can affect the health of consumers. This study aimed to evaluate the acidity parameters of the juice extracted from minimally processed sugarcane at three different points in Cuiabá - MT. Methods: In the juice samples, the following parameters were analyzed: Brix (soluble solids), pH, acetic (volatile) acidity, and sulfuric (total) acidity. Results: All the Brix values were above 18. The pH values were between 5 and 6. The total and volatile acidity was below 0.8. Discussion: The Brix values found in this study are similar to other studies (standard deviation of 1.7). The variety of sugarcane significantly influences the Brix and its sampling period. Inappropriate handling of sugarcane promotes the microbiological decrease of the final product. The pH values were satisfactory, but the changes in temperature in one of the juices (sudden change from 24 to 22.7ºC) caused its pH to differ from the value found for the others. The total and volatile acidity content is related to the storage time of the juice, which can be contaminated by bacteria and microorganisms, affecting the characteristics of the product. When the acidity value is more significant than 0.8, there was a change in these characteristics, which did not happen in this work. Conclusions: The Brix values indicate an adequate maturation of the analyzed juices. The pH values are in the ideal range for sugarcane juice. The volatile and total acidity is in the ideal range, indicating quality standards for sugarcane juice.
Read ArticleD-DIMER A RISK FACTOR ASSOCIATED WITH C-REACTIVE PROTEIN FOR PREDICTING THE SEVERITY OF INFECTION BY COVID-19
Background: COVID-19, caused by SARS-CoV-2, has unresolved mortality risk factors and clinical course, highlighting the need for further research. Aims: The study aimed to asses D-dimer and C-Reactive Protein (CRP) as the risk factors for severity covid-19 and who are less capable of surviving. Methods: A retrospective study conduct of COVID-19 in adult inpatients aged >20 at Al-sadder and Alamal Hospital in Iraq. Demographics, clinical trials, treatments, and viral RNA samples were analyzed. The study involved 100 patients, with 67 discharged and 33 hospitalized died. The majority of the participants 45% were aged < 40, but 55% were aged >40 years. Results: A significant and 57% were male 37(55.2%) Survivor vs. 20 (60.6%) non-survivor, p=0.024), more than 43% were female (30(44.8%) Survivor vs. 13(39.4%) non-survivor, p=0.010. Patients had underlying comorbidities (66%), survivor 37(55%), and non-survivor 29(87%). The most prominent comorbidity in non-survivors more than survivors was diabetic mellitus 85%, asthma 58%, stroke 48%, renal failure 42%, heart strake 33%, and hypertension 18%. The study found significant differences in WBC, lymphocyte count, D-dimer, Ferritin, CRP, and LDH levels in non-survivors compared to survivor patients, with a positive correlation between D- dimer and these parameters. The ROC analysis curve showed CRP with a high AUC of 80.2%, 87.9% sensitivity, and 37.3% specificity, while D-dimer and LDH had AUCs of 0.74.9 and 70%, respectively. Discussion: The study found that older age, higher d-dimer, ferritin, CRP, and LDH are associated with disease severity and higher mortality risk in adult COVID-19 patients. Conclusions: These biomarkers could aid in early detection of disease progression signs and better patient management
Read ArticleMODELING OF THE NITROGEN PARAMETER OF THE PARAÍBA DO SUL RIVER USING THE QUAL-UFMG METHOD
Background: Due to population growth and increased use of water resources, there has been a need to implement management measures to control and monitor river parameters. Aims: This study aims to demonstrate the application of mathematical modeling using the QUAL-UFMG model for studying nitrogen concentration in the Paraíba do Sul River located in Volta Redonda. Methods: Through mathematical modeling, it is possible to identify areas of greater impact, evaluate the effectiveness of control measures, and propose a strategy to improve water quality and preserve the balance of local aquatic ecosystems. Results: The results obtained during the study showed that the nitrogen parameters and their derivatives are within the pre-established limits set by CONAMA. Discussion: During the modeling, it was observed that there is a tendency for nitrate levels to increase along the points, indicating good self-purification of the river. Organic nitrogen values increase along the points, which is due to the contribution of sewage discharge along the course of the river, as organic nitrogen and ammonia have a physiological origin in domestic sewage. Conclusions: Through the QUAL-UFMG model, it was possible to validate the conducted analyses and create future projections of the water quality in the Paraíba do Sul River along the studied points.
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