A5056978735- Spectroscopy and Chemometric Analyses
- Meat and Animal Product Quality
- Advanced Chemical Sensor Technologies
- Horticultural and Viticultural Research
- Fermentation and Sensory Analysis
- Plant Surface Properties and Treatments
- Water Quality Monitoring and Analysis
- Metabolomics and Mass Spectrometry Studies
- Analytical Chemistry and Chromatography
- Postharvest Quality and Shelf Life Management
- Essential Oils and Antimicrobial Activity
- Protein Hydrolysis and Bioactive Peptides
- Bee Products Chemical Analysis
- Natural Products and Biological Research
- Spectroscopy Techniques in Biomedical and Chemical Research
- Potato Plant Research
- Pesticide Residue Analysis and Safety
- Agricultural and Food Production Studies
- Odor and Emission Control Technologies
- Phytochemicals and Antioxidant Activities
- Probiotics and Fermented Foods
- Concrete and Cement Materials Research
- Biodiesel Production and Applications
- Soil Geostatistics and Mapping
- Food composition and properties
University of Córdoba
2009-2024
Calcium aluminate cement (CAC) is less commonly used as ordinary Portland cements (OPCs) for structural concrete, relatively expensive, but may have certain advantages when solidification of wastes; it introduces rapid strength gain and has a higher resistance to chemical attack than OPC. However, the most widely identified degradation process suffered by CAC so‐called conversion hexagonal calcium hydrate cubic form. Mixes with silica fume (SF) or fly ash (FA) represent an interesting...
Abstract The objective of this study was to assess the potential visible and near infrared spectroscopy (VIS+NIRS) combined with multivariate analysis for identifying geographical origin cork. carried out on cork planks natural stoppers from most representative cork-producing areas in world. Two training sets international national were studied. first set comprised a total 479 samples Morocco, Portugal, Spain, while second 179 Spanish regions Andalusia, Catalonia, Extremadura. A 90 Andalusia...
Scope The aim of this work was to assess the ability Near Infrared Spectroscopy (NIRS) distinguish wheat lines with low gliadin content, obtained by RNA interference (RNAi), from non-transgenic lines. discriminant analysis performed using both whole grain and flour. transgenic sample set included 409 samples for sorting 414 flour experiments, while consisted 126 156 flour, respectively. Methods Results Samples were scanned a Foss-NIR Systems 6500 System II instrument. Discrimination models...
In identifying spectral outliers in near infrared calibration it is common to use a distance measure that related Mahalanobis distance. However, different software packages tend variants, which lead translation problem if more than one package used. Here the relationships between squared D 2 , GH of WinISI, and T leverage (L) statistics The Unscrambler are established as = ≈ L × n k, where k numbers samples variables, respectively, set data used establish measure. implications for setting...
The procedures used today to characterize cork plank for the manufacture of bottle stoppers continue be based on a traditional, manual method that is highly subjective. Furthermore, there no specific legislation regarding classification. objective this viability study assess potential near-infrared spectroscopy (NIRS) technology characterizing according following variables: aspect or visual quality, porosity, moisture and geographical origin. In order calculate porosity coefficient, an image...
Low-pH cements are designed to be used in underground repositories for high level waste. When they based on Ordinary Portland Cements (OPC), mineral admixture contents must which significantly modify their microstructure properties and performance. This paper evaluates the evolution of low-pH cement pastes OPC plus silica fume and/or fly ashes, using Mid-Infrared Near-Infrared spectroscopy detect mainly composed polymerized C-A-S-H gels with low C/S ratios. In addition, lower pore solution...
A database of 352 near infrared (NIR) spectral data from Iberian pig liquid fat was used for the prediction palmitic, stearic, oleic and linoleic fatty acids content. The results showed excellent accuracy NIR equations with coefficients determination ( r 2 ) reaching values close to 1 standard error cross-validation SECV) similar in reference method SEL). possibility transferring calibrations developed one instrument another instrument, following Shenk Westerhaus standardisation algorithm,...
Multivariate Classification models to classify real farm conditions Iberian pigs, according the feeding regime were developed by using fatty acids composition or NIR spectral data of liquid fat samples. A total 121 subcutaneous samples taken from pigs carcasses belonging 5 batches reared under different systems. Once sample was extracted each sample, it determined percentage 11 (C14:0, C16:0, C16:1, C17:0, C17:1, C18:0, C18:1, C18:2, C18:3, C20:0 and C20:1). At same time, Near Infrared (NIR)...