Gisele Mendes

ORCID: 0000-0002-1643-0342
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About
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Research Areas
  • Spectroscopy and Chemometric Analyses
  • Plant and animal studies
  • Fault Detection and Control Systems
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Pesticide Residue Analysis and Safety
  • Analytical Chemistry and Chromatography
  • Morphological variations and asymmetry
  • Forest Insect Ecology and Management
  • Advanced Chemical Sensor Technologies
  • Seed and Plant Biochemistry
  • Environmental and biological studies
  • Ecology and Vegetation Dynamics Studies
  • Wildlife-Road Interactions and Conservation
  • Insect and Arachnid Ecology and Behavior
  • Insect and Pesticide Research

Universidade Federal de Minas Gerais
2012-2021

In this work, distillation curves (ASTM D86) associated with multivariate calibration (PLS-Partial Least Squares) were used to predict MON (motor octane number) and RON (research parameters of automotive fuel RMSEC getting values (Root Mean Square Error Calibration) RMSEP Prediction) smaller than the literature. obtained 0.051 0.078, 0.063 0.085 for RON, respectively. These low along high accuracy, when compared standard test methods D2700 ASTM D2999), indicated that PLS models efficient can...

10.1016/j.fuel.2012.01.058 article EN publisher-specific-oa Fuel 2012-02-20

This study has shown that the use of distillation curves combined with PCA (Principal Component Analysis) and PLS-DA (Partial Least Squares Discriminant provides a model enough sensitivity to discriminate adulterated unadulterated gasoline samples, as well as, determination solvent used in adulteration minimum percentage 97% accuracy. provided prediction adulterants low RMSEC (Root Mean Square Error Calibration) RMSEP Prediction) when compared other methods. The great advantage is...

10.1016/j.fuel.2013.04.077 article EN publisher-specific-oa Fuel 2013-05-24

Abstract Herbivory is ubiquitous. Despite being a potential driver of plant distribution and performance, herbivory remains largely undocumented. Some early attempts have been made to review, globally, how much leaf area removed through insect feeding. Kozlov et al., in one the most comprehensive reviews regarding global patterns herbivory, compiled published studies foliar removal sampled data on levels using standardized protocol. However, review by only 15 sampling sites, comprising 33...

10.1002/ecy.3301 article EN Ecology 2021-02-11

This work presents a low cost system based on Flame Emission Spectroscopy (FES) that enables the prediction of fuel adulteration. The spectral data acquired using FES were associated with chemometric tools – Partial Least Squares Discriminant Analysis (PLS-DA) and (PLS), aiming to predict gasoline adulterations different solvents. classification Brazilian adulterated samples turpentine, thinner, kerosene, rubber solvent ethanol was carried out through PLS-DA model built five latent variables...

10.1039/c2an35441a article EN The Analyst 2012-01-01

Fluctuating asymmetry (FA) is a widely used tool to detect developmental instability and plants under stressful conditions are expected exhibit increased values of asymmetry, as well higher levels herbivory. This study evaluated whether dust from roads can cause major deviations in the axis symmetry leaves pioneer plant species Cecropia pachystachya Trécul (Urticaceae). It was also investigated exposed have greater nitrogen content herbivory levels. Ten 20 individuals C. were collected on...

10.1093/ee/nvy147 article EN Environmental Entomology 2018-09-17

1. Understanding the degree to which populations and communities are limited by both bottom‐up top‐down effects is still a major challenge for ecologists, manipulation of plant quality, example, can alter herbivory rates in plants. In addition, biotic defence ants directly influence herbivores, as demonstrated increased or herbivore density after ant exclusion. The aim this study was evaluate on mutualistic ant‐plant. 2. study, role A zteca alfari individuals C ecropia pachystachya...

10.1111/een.12432 article EN Ecological Entomology 2017-06-22
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