Novel Analytical Methods in Food Analysis |
Autore | Delahaut Philippe |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (234 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences |
Soggetto non controllato |
truffle
T. melanosporum T. indicum real-time PCR RFLP quantitative evaluation Alzheimer's disease Amyloid β amyloid β aggregation inhibitor quantum dot soy sauce doping sport contamination SARMs diuretics honey vibrational spectroscopy geographical origin chemometrics data fusion frequency mixing technology immunofiltration magnetic beads pesticide residues optical detection screening methods point-of-care diagnostics smartphones biosensors bioassays food routine testing high-resolution mass spectrometry feed water veterinary drug residues natural toxins pesticides food authenticity food microbiology immunoaffinity assays immunoagglutination immunosensors immunochromatographic testing immunomagnetic separation one health pathogenic micro-organisms responsive monitoring review serum lipidomics Lipidyzer™ LC-HRMS ractopamine β-agonist food safety portable food analyzer point-of-need ASSURED criteria portable mass spectrometer optical biosensor electrochemical biosensor microfluidic device lab-on-a-chip smartphone-based biosensor |
ISBN | 3-0365-5815-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910639997003321 |
Delahaut Philippe
![]() |
||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Sustainability of Olive Oil System |
Autore | Alamprese Cristina |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (328 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
extra virgin olive oil
authentication chemometrics proton NMR carbon NMR machine learning artificial neural networks PLS-DA olive leaf polyphenols encapsulation functional food mayonnaise alginate/pectin beads phenolic extract food enrichment olive leaves organic local consumer attitude up-cycled ingredients by-products generational differences virgin olive oil organic production harvesting method harvesting time volatile compounds olive by-product reactive oxygen species (ROS) olive leaf pomace olive wastewater clones minor accessions olive oil quality olive landrace ripening harvest season antioxidants minor compounds oil quality circular economy environmental impact global warming valorization of waste phenolic compounds acidic hydrolysis derivative UV spectroscopy green chemistry screening methods health claim antioxidant activity olive mill wastewaters reactive oxygen species vascular cells breadsticks gluten-free olive oil by-products oxidation stability electronic nose accelerated shelf-life tests transparent plastic material metallized material brown-amber glass oxidation stability packaging olive oil quality life cycle assessment biocompounds shelf life environmental sustainability biscuits gluten-free breadsticks salad dressing vegan mayonnaise waste recovery choice experiment (CE) extra virgin olive oil (EVOO) willingness to pay (WTP) country of origin organic food consumer preferences sustainable food system authenticity biodiversity differential scanning calorimetry color chlorophyll geographical origin botanical origin principal component analysis anaerobic codigestion biomethane life cycle assessment (LCA) life cycle costing (LCC) olive mill by-products olive composition olive cultivars olive ripening PLS regression model portable device quality parameters sustainability Olea europaea kaolin zeolitite foliar treatments sustainable agriculture crop defense autochthonous cultivars molecular fingerprinting polyphenol content gene expression fruit developmental stages olive storage duration oil chemical composition sensory properties |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566468303321 |
Alamprese Cristina
![]() |
||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|