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Multivariate filters combined with interval partial least square method: A strategy for optimizing PLS models developed with near infrared data of multicomponent solutions
(2019-05-01)
Near infrared spectroscopy (NIR)is a technique capable of rapidly generating rich chemical information. However, many chemical problems are limited to the low sensitivity and selectivity due to the spectral similarity of ...
Detection and quantification of adulterants in honey by LIBS
(2020-05-01)
The present work proposes methods for detection and quantification of honey adulterants using laser-induced breakdown spectroscopy (LIBS). The sample set consisted of 6 pure honey from different botanical sources, 2 sweetener ...
Optimal scintillation time estimation through analog filters
(2023)
Scintillator crystals are a widespread solution for detecting high-energy radiation. These crystals spread the energy of the particle over time, which fundamentally limits the time resolution that can be obtained. This is ...
Multivariate Behavior of Irrigated Sugarcane with Phosphate Fertilizer and Filter Cake Management: Nutritional State, Biometry, and Agroindustrial Performance
(2020-01-01)
Increases in production and final quality of the sugarcane crop require the search for new management and evaluation techniques within the production system, which can range from water and nutritional management, such as ...
Infrared spectroscopy and multivariate methods as a tool for identification and quantification of fuels and lubricant oils in soil
(2018-02-01)
Environmental contamination caused by leakage of fuels and lubricant oils at gas stations is of great concern due to the presence of carcinogenic compounds in the composition of gasoline, diesel, and mineral lubricant oils. ...
Detection of flow injection analysis with pH gradient by acousto-optic tunable filter based spectrophotometry
(Elsevier Science BvAmsterdamHolanda, 1996)
Measuring inflation persistence in Brazil using a multivariate model
(EGV EPGE, 2014)
Measuring inflation persistence in Brazil using a multivariate model
(EGV EPGE, 2014)