CV Lattes
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Universidade Estadual Paulista (UNESP). Campus de Araraquara. Instituto de Química (IQ) (Institutional affiliation from the last research proposal) Birthplace: Brazil
B.S. Chemistry (1999) from Universidade Federal de São Carlos (UFSCar, São Carlos, São Paulo).M.Sc. Chemistry (2003) from Universidade Estadual de Campinas (UNICAMP, Campinas, São Paulo).Ph.D. Sciences (2007) from Universidade Estadual de Campinas (UNICAMP, Campinas, São Paulo).Postdoc at Embrapa Instrumentação (São Carlos, São Paulo, 2013), Dalhousie University (Halifax, Canada, 2011) and Idaho State University (Pocatello, United States, 2018). (Source: Lattes Curriculum)
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This research project highlights the study's focus on sustainability, the analytical techniques employed, and its alignment with the United Nations Sustainable Development Goals (SDGs), particularly: *SDG 9 (Industry, Innovation, and Infrastructure) - Advancing analytical methodologies for material recovery and recycling. *SDG 12 (Responsible Consumption and Production) - Promoting effi…
The predicted activities will involve exchanging knowledge in chemometric techniques from the GAAA research group on Brazil's side and new LIBS insights from Spain's side. A large dataset using LIBS will be generated, and innovation in the data evaluation using new Chemometric techniques would be very useful for both institutions. (AU)
Solid impurities for raw sugar manufacturing processes need to be characterized. Impurities are from soil particles and green and dry/brown sugarcane leaves. The presence of solid impurities interferes in the juice quality, increasing the use of chemicals to establish process control, as example the clarification. A manual stalk separation is impractical on an industrial scale. In the fin…
Non-conventional food plants (PANC) are unknown yet, low-recognized and deserve special attention from scientific research. Issues such as locations and cultural and social-economic cause low commercialization and consumption of PANC. In general, this source of nutrition is very limited to small businesses or cultivations since the staples market is selective. On the other hand, there is …
By using four-way array data it is possible to associate outputs from X ray fluorescence spectra (X is energy in keV, Y the fluorescence intensity), samples and varieties of sugarcane, as example. (AU)
Solid impurities for raw sugar manufacturing processes need to be characterized. Impurities are from soil particles and green and dry/brown sugarcane leaves. The presence of solid impurities interferes in the juice quality, increasing the use of chemicals to establish process control, as example the clarification. A manual stalk separation is impractical on an industrial scale. In the fin…
(Only some records are available in English at this moment)
Unconventional food plants (PANC) are still uncommon in many people's lives, even offering high accessibility due to easy cultivation. They are still absent in several meals. In this way, if people were more willing to value these types of crops, they would realize their importance and develop autonomy in the production of their food. To the surprise of many, these plants have high nutrit…
The Brazilian meat has a favorable position in relation of world market, considering that the investments in research of animal breeding and the certification of origin of the product increased and the diseases control is effective. From nutritional viewpoint, the meat is an excellent source of essential amino acids, lipids, vitamins and minerals for human been feed. Despite of the import…
Brazil is the biggest producer of orange (Citrus sinensis) and the majority of this fruit is intended to industries of concentrated orange juice that was responsible for revenue more than US$ 2 billion in export trade (2007). São Paulo State contributes with 70% of national production of orange and generates 98% of manufactured orange juice. Notwithstanding, the performance of this sector…
This proposal involves the development of new strategies for multivariate calibration in chemical data, in which two innovative strands are included: (1) Development of new processes to evaluate and improve accuracy, i.e. how well a model will work and (2) Maintenance of a prediction model already built, considering the influence of environmental, instrumental, physical and chemical condi…
| 3 / 3 | Ongoing grants |
| 5 / 4 | Completed research grants |
| 4 / 3 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 13 / 11 | All research grants and scholarships |
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