A5066749296- Spectroscopy and Chemometric Analyses
- Natural Products and Biological Research
- Hydrocarbon exploration and reservoir analysis
- Mass Spectrometry Techniques and Applications
- Petroleum Processing and Analysis
- Sugarcane Cultivation and Processing
- Metabolomics and Mass Spectrometry Studies
- Advanced Chemical Sensor Technologies
- Meat and Animal Product Quality
- Water Quality Monitoring and Analysis
- Spectroscopy Techniques in Biomedical and Chemical Research
- Analytical Chemistry and Chromatography
- Agricultural and Food Sciences
- Enhanced Oil Recovery Techniques
- Essential Oils and Antimicrobial Activity
- Fault Detection and Control Systems
- Heat transfer and supercritical fluids
- Date Palm Research Studies
- Phytochemicals and Antioxidant Activities
- Pesticide Residue Analysis and Safety
- Ginseng Biological Effects and Applications
- Plant and animal studies
- Advanced Statistical Process Monitoring
- Mycotoxins in Agriculture and Food
- Psidium guajava Extracts and Applications
Universidade Federal de Goiás
2021-2025
Universidade Federal de Viçosa
2017-2024
Paprika powder is a widely consumed spice, making it an attractive target for adulteration, which not easily detected. In this study, portable near-infrared (NIR) spectrometer was used fast detection of paprika adulteration. Nine samples from five suppliers were adulterated with potato starch, acacia gum and annatto at different concentrations (0–36% by weight starch gum, 0–18% annatto). The NIR spectrum each mixture (n = 315) as predictors to determine adulteration partial least...
Considering the lower acquisition value and practicality of obtaining data using a portable instrument (NIR-Portable), it is crucial to verify whether offers spectra with prediction quality at least equal those on bench (NIR-Bench), which achieve higher spectral resolution. This study aimed compare NIR-Bench NIR-Portable build validate multivariate calibration models predict sucrose in chocolate products. In Experiment 1, we evaluated cocoa mixtures different concentrations sucrose; 2,...
In this study, we introduce a pioneering approach that leverages advanced machine learning and ultrahigh-resolution Fourier transform ion cyclotron mass spectrometry (FT-ICR MS) data to predict the distribution of total acid number (TAN) in true boiling point (TBP) distillation cuts from crude oil. By employing partial least-squares (PLS) regression ordered predictor selection (OPS), achieved robust predictive models with high accuracy, evidenced by low root-mean-square error calibration...
The quantification of non-basic nitrogen-containing compounds (NCCs) in petroleum-derived samples has become a critical issue due to the undesirable effects these on petroleum industry. In addition, there is lack analytical methods that allow direct NCCs matrices. This paper provides strategies for obtaining quantitative information using flow injection electrospray ionization (ESI) (−) Orbitrap mass spectrometry without fractionation steps. Benzocarbazole (BC) was performed standard...
The building of partial least squares (PLS) regression models using near infrared (NIR) and ultraviolet (UV) spectroscopies to estimate the concentrations phorbol esters (PEs) in Jatropha curcas L. is presented.The were built two algorithms for variable selection, ordered predictors selection (OPS) genetic algorithm (GA).Chromatographic analyses performed determine PEs.Spectral data obtained from seeds oil extract.The results PLS by analyzing statistical parameters quality such as root mean...
The liquid chromatography-mass spectrometry (LC-MS)-based metabolomics approach is a powerful technology for discovering novel biologically active molecules. In this study, we investigated the metabolic profiling of Orchidaceae species using LC-HRMS/MS data combined with chemometric methods and dereplication tools to discover antifungal compounds. We analyze twenty ethanolic plant extracts from Vanda Cattleya (Orchidaceae) genera. Molecular networking were used discriminate ions that...
This work aimed at investigating the viability of near infrared spectrometry (NIR), associated with chemometric methods, in order to identify differences levels vigor naturally and artificially aged soybean seeds. Seeds six genotypes were analyzed when freshly harvested, after natural aging storage for eight months, artificial temperature 41 °C 96 hours. The seed moisture content, germination potential evaluated. Also, there measured content protein, oil fatty acids: palmitic, stearic,...
Abstract A study of spatial distribution the four different plasticizers and sorbic acid incorporated in cellulose acetate biodegradable films using near‐infrared hyperspectral imaging (NIR‐HSI) multivariate curve resolution—alternating least squares (MCR‐ALS) is presented. NIR‐HSI was acquired for each film. MCR‐ALS applied to generate pure component maps. repeatability performed. The proposed method able recover spectra film accurately. relative concentration vectors obtained by were...
Oral squamous cell carcinoma (OSCC) is the prevalent type of oral cavity cancer, requiring precise, accurate, and affordable diagnosis to identify disease in early stages, Comprehending differences lipid profiles between healthy cancerous tissues encompasses great relevance identifying biomarker candidates enhancing odds successful cancer treatment. Therefore, present study evaluates analytical performance simultaneous mRNA extraction gingiva tissue from patients diagnosed with OSCC...
Since its introduction, ambient mass spectrometry methods have been demonstrated as potential approaches for a rapid and sensitive analysis of many compounds in complex matrices with minimum or no sample preparation step performed. Some these include low-cost devices situ methodologies that are included the new trend green analytical chemistry. The application environmental has reported last decades qualitative quantitative analysis. This study aims to contribute an overview 2016 2021 period...
Diesel has been the most employed fuel in highway and nonhighway transportation systems. Many studies over past years have attempted to classify diesel as a stable or unstable composition since this can still degrade during storage thermal oxidative processes. Products generated because of such degradation are reason for formation soluble gums insoluble organic particulates, which turn cause negative influence on engine performance. This work reports detailed nonpolar polar compounds many...