A5071651674- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Water Quality Monitoring and Analysis
- Spectroscopy Techniques in Biomedical and Chemical Research
- Essential Oils and Antimicrobial Activity
- Analytical Methods in Pharmaceuticals
- Geochemistry and Geologic Mapping
- Phytochemistry Medicinal Plant Applications
- Meat and Animal Product Quality
- Sensory Analysis and Statistical Methods
- Soil Geostatistics and Mapping
- Identification and Quantification in Food
- Chemistry and Chemical Engineering
- Analytical Chemistry and Chromatography
- Analytical Chemistry and Sensors
- Metabolomics and Mass Spectrometry Studies
- Natural product bioactivities and synthesis
- Biodiesel Production and Applications
- Microencapsulation and Drying Processes
- Analytical chemistry methods development
- Electrochemical sensors and biosensors
- Pesticide Residue Analysis and Safety
- Chemistry Education and Research
- Various Chemistry Research Topics
- Computational Drug Discovery Methods
Universidade Estadual da Paraíba
2016-2025
Discovery Air (Canada)
2022
Universidade Federal de Campina Grande
2016
Universidade Federal da Paraíba
1997-2011
This work is concerned of evaluate the use visible and near-infrared (NIR) range, separately combined, to determine biodiesel content in biodiesel/diesel blends using Multiple Linear Regression (MLR) variable selection by Successive Projections Algorithm (SPA). Full spectrum models employing Partial Least Squares (PLS) variables Stepwise (SW) regression coupled with PLS also Jack-Knife (Jk) were compared proposed methodology. Several preprocessing evaluated, being chosen derivative...
This work proposes a simple, rapid, inexpensive, and non-destructive methodology based on digital images pattern recognition techniques for classification of biodiesel according to oil type (cottonseed, sunflower, corn, or soybean). For this, differing color histograms in RGB (extracted from images), HSI, Grayscale channels, their combinations were used as analytical information, which was then statistically evaluated using Soft Independent Modeling by Class Analogy (SIMCA), Partial Least...
TEACH PRINCIPAL COMPONENT ANALYSIS.A dataset of chemical properties the elements is used herein to introduce principal components analysis (PCA).The focus in this article verify classification within periodic table.The reclassification semimetals as metals or nonmetals emerges naturally from PCA and agrees with current SBQ/IUPAC table.Dataset construction, basic preprocessing, loading score plots, interpretation have been emphasized.This activity can be carried out even when students...
This article describes the classification of biodiesel samples using NIR spectroscopy and chemometric techniques. A total 108 spectra were taken (being three each four types oil, cottonseed, sunflower, soybean canola), from nine manufacturers. The measurements for in spectral region between 12,500 4000 cm(-1). data preprocessed by selecting a range 5000-4500 cm(-1), then Savitzky-Golay second-order polynomial was used with 21 points to obtain second derivative spectra. Characterization done...
Guapira graciliflora and Pseudobombax marginatum are two species used in the treatment of various diseases traditional medicine Brazilian semiarid region, but no studies assessing their phytochemical pharmacological properties have been reported. This study aimed to evaluate seasonal variation production secondary metabolites antimicrobial activity these plants. The broth microdilution test was against pathogenic microorganisms activity. content total polyphenols flavonoids determined by...
A rapid and non-destructive methodology is proposed for the screening of edible vegetable oils according to conservation state expiration date employing near infrared (NIR) spectroscopy chemometric tools. total fifty samples soybean oil, different brands andlots, were used in this study; these included thirty expired twenty non-expired samples. The oil oxidation was measured by peroxide index. NIR spectra employed raw form preprocessed offset baseline correction Savitzky–Golay derivative...
Abstract In this work, rapid and non‐destructive methodology is proposed for screening of biodiesel/diesel blends with respect to the base oil, using near infrared spectroscopy multivariate data analysis, since both pure biodiesel blends, are targets tampering. Blends diesel cotton, sunflower soybean oils were employed in study. Two approaches evaluated building classification model, full‐spectrum Soft Independent Modelling Class Analogy (SIMCA), Principal Component Analysis–Linear...
This paper proposes a new interval selection approach for PLS-DA modelling, which is developed as an extension of the recently introduced iSPA-PLS method multivariate calibration.
The use of biocompatible polymers such as Hydroxypropylmethylcellulose (HPMC), Hydroxyethylcellulose (HEC), Carboxymethylcellulose (CMC), and Carbopol in solid formulations results mucoadhesive systems capable promoting the prolonged localized release Active Pharmaceutical Ingredients (APIs). This strategy represents a technological innovation that can be applied to improving treatment oral infections, candidiasis. Therefore, aim this study was develop tablet Ximenia americana L. from for An...
Background In Brazil, over the last few years there has been an increase in production and consumption of goat cheeses. addition, was also a demand to create options use whey extracted during Whey can be used as ingredient development many products. Therefore, knowing its composition is matter utmost importance, considering that reference methods food analysis require time, trained labor expensive reagents for execution. Methods Goat samples produced winter summer were submitted proximate...
Abstract The Croton argyrophyllus leaf essential oil has anti‐inflammatory, antioxidant, cytotoxic among other activities. However, there are chemical composition variations in the literature. This work reports first study of intraspecific variation C. population from Pernambuco state, Brazil. oils nine specimens (OCA1 to OCA9) were analyzed by GC/MS and NIR identify compositions verify similarities between samples. These analyses resulted identification bicyclogermacrene (mean 38.42 %), ( Z...