Research Areas
Campiglia’s research group develops analytical methods to separate, identify and quantify chemicals in natural and artificial materials. The new methodology has applications in environmental and forensic science, toxicology, and food science. Environmental methods make possible to track down the fate of highly toxic polycyclic aromatic compounds and their metabolic degradation products. The outcome of this research has improved our ability to understand and respond to the impacts of petroleum pollution in environmental ecosystems, such as the Gulf of Mexico. Additional achievements include the development of non-destructive methodology for the analysis of forensic fiber evidence; phosphorous sensing approaches for on-site analysis of urine and water samples; and chemical profiling with data mining techniques for organic food authentication and better understanding of drug trafficking networks. By following green chemistry principles, the end goal of Campiglia’s research program at UCF is to provide sustainable methods that bring direct benefits to society.
Publications
- Rocha, B. R. Brandao da Costa, N. C. Perez de Albuquerque, A. R. Moraes de Oliverira, J. M. O. souza, M. Al-Tameemi, A. D. Campiglia, F. Barbosa Jr.*, 2016. A fast method for bisphenol A and six analogues (S, F, Z, P, AF, AP) determination in urine samples based on dispersive liquid-liquid microextraction and liquid chromatography-tandem mass spectrometry. Talanta, 154, 511 – 519. DOI: http://dx.doi.org/10.1016/j.talanta.2016.03.098.
- C. Maione, E. S. de Paula, M. Gallimberti, B. L. Batista, A. D. Campiglia, F. Barbosa Jr., R. M. Barbosa*, 2016. Comparative study of data mining techniques for the authentication of organic grape juice based on ICP-MS analysis. Expert Systems with Applications, 49, 60–73. DOI: 10.1016/j.eswa.2015.11.024.
- A. M. de la Pena, N. Mujumdar, E. C. Heider, H. C. Goicoechea, D. M. de la Pena, A. D. Campiglia*, 2016. Nondestructive Total Excitation-Emission Fluorescence Microscopy Combined with Multi-Way Chemometric Analysis for Visually Indistinguishable Single Fiber Discrimination. Analytical Chemistry, 88, 2967-2975. DOI: 10.1021/acs.analchem.6b00264.
- R. M. Barbosa, E. S. de Paula, A. C. Paulelli, A. F. T. Moore, J. O. de Souza, B. L. Batista, A. D. Campiglia, F. Barbosa Jr.*, 2016. Recognition of organic rice samples based on trace elements and support vector machines. Journal of Food Composition and Analysis, 45, 95-100. DOI: 10.1016/j.jfca.2015.09.010.
- W. B. Wilson, B. Alfarhani, A. F. T. Moore, C. Bisson, S. A. Wise, A. D. Campiglia*, 2016. Determination of high-molecular weight polycyclic aromatic hydrocarbons in high performance liquid chromatography fractions of coal tar standard reference material 1597a via solid-phase nanoextraction and laser-excited time-resolved Shpol’skii spectroscopy. Talanta, 148, 444 – 453. DOI: 10.1016/j.talanta.2015.11.018.
- N. Mujumdar, E. C. Heider, A. D. Campiglia*, 2015. Enhancing Textile Fiber Identification with Detergent Fluorescence. Applied Spectroscopy, 69[12], 1390 – 1396. DOI: 10.1366/15-07992.
- B. A. Rocha, L. F. Azevedo, M. Gallimberti, A. D. Campiglia, F. Barbosa Jr*, 2015. High levels of Bisphenol A and Bisphenol S in Brazilian thermal paper receipts and estimation of daily exposure. Accepted for publication in Journal of Toxicology and Environmental Health-Part A-Current Issues, 78, 1181-1188. DOI: 10.1080/15287394.2015.1083519.
- A. F. T. Moore, H. C. Goicoechea, F. Barbosa Jr., A. D. Campiglia*, 2015. Parallel Factor Analysis of 4.2K Excitation-Emission Matrices for the Direct Determination of Dibenzopyrene Isomers in Coal-Tar Samples with a Cryogenic Fiber Optic Probe Coupled to a Commercial Spectrofluorimeter. Analytical Chemistry, 87, 5232 – 5239. DOI: 10.1021/acs.analchem.5b00147.
- R. M. Barbosa, B. L. Batista, C. V. Bariao, R. M. Varrique, V. A. Coelho, A. D. Campiglia, F. Barbosa Jr.*, 2015. A simple and practical control of the authenticity of organic sugarcane samples based on the use of machine-learning algorithms and trace elements determination by inductively coupled plasma mass spectrometry. Food Chemistry, 184, 154-159. DOI:10.1016/j.foodchem.2015.02.146.
- A. V. Schenone, A. de Araujo Gomes, M. J. Culzoni, A. D. Campiglia, M. C. Ugulino de Araujo and H. C. Goicoechea*, 2015. Modeling nonbilinear total synchronous fluorescence data matrices with a novel adapted partial least squares method. Analytica Chimica Acta, 859, 20-28. DOI:10.1016/j.aca.2014.12.014.
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Expanding Horizons: Episode 4 – In Search of Elusive PAH’s
