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Cocoa, Chocolate and Human Health
| Cocoa, Chocolate and Human Health |
| Autore | Ellinger Sabine |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (288 p.) |
| Soggetto non controllato |
lipids
theobromine colonic bacteria ?-glucosidase inhibition cacao tinnitus antioxidant capacity metabolomics methylxanthines lipid status physical exercise skeletal muscle functional volatile compounds soluble cocoa products blood pressure flavanols functional food classification monitoring cocoa yeast quality flavanols bioavailability fermentation cocoa processing hearing loss Italian chocolate chocolate (?)-catechin extraction and characterization methods health potentials CREB inflammation flavanol-rich cocoa behavior (?)-epicatechin BDNF plasma appearance flavan-3-ol stereoisomers fermentation-related enzymes angiotensin-converting enzyme (ACE) inhibitory activity type 2 diabetes CaMKII exercise performance anti-inflammatory properties (+)-catechin bioactive compounds chiral separation plasma oxidative stress antidiabetic capacity polyphenols oligopeptides urine protein-phenol interactions postprandial working memory procyanidins simulated gastrointestinal digestion cocoa-based ingredients one-compartment model cocoa beans athlete biomarkers polyphenol metabolic syndrome nutrition bioavailability roasting glucose metabolism cohort study plasma nutrikinetics pharmacokinetics human cocoa proteins metabolites cocoa by-product meal bioactive peptides performance liquid chromatography coupled to electrospray ionisation and quadrupole time-of-flight mass spectrometry (LC-ESI-QToF-MS) starter culture |
| ISBN | 3-03928-589-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404079303321 |
Ellinger Sabine
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Emerging Sensor Technology in Agriculture
| Emerging Sensor Technology in Agriculture |
| Autore | Fuentes Sigfredo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
apple orchards
modeling and simulation unmanned aerial vehicles fruit ripeness ethylene gas detection 3D crop modeling remote sensing on-ground sensing depth images parameter acquisition capacitor sensor deposit mass pesticide droplets formulations ionization CFD airflow field test monitoring method spectral sensor crop growth computer vision deep learning image processing pose estimation animal detection precision livestock Citrus sinensis L. Osbeck mechanical harvesting acceleration sensor vibration time logistic regression adaptive thresholding fruit detection parameter tuning phenotype phenotyping phenomics Triticum aestivum water deficit stress infrared leaf area index cocoa beans volatile compounds artificial neural networks VitiCanopy app bushfires infrared thermography near-infrared spectroscopy smoke taint artificial intelligence Kinect sensor RGB RGB-D image segmentation colour thresholding bunch area bunch volume point cloud mesh surface reconstruction image analysis cluster morphology machine learning non-invasive sensing technologies proximal sensing precision viticulture partial least square support vector machine Gaussian processes soybean pigeon pea guar tepary bean |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557295003321 |
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Fuentes Sigfredo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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