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Advances in Food Analysis
| Advances in Food Analysis |
| Autore | Gentili Alessandra |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (488 p.) |
| Soggetto non controllato |
high resolution mass spectrometry
multiple reaction monitoring (MRM) PAT detection ?13C-IRMS thiamphenicol phospholipids HRMS chemometrics Box–Behnken design ultra-fast liquid chromatography (UFLC)–TripleTOF MS review chiral stationary phases blends validation microwave-assisted hydrodistillation carbohydrates antioxidant chiral quality control fruit juice modified electrode extraction techniques food composition nitrite detection HPLC fingerprint milk hops extracts real-time quantitative PCR apple juice Q-Orbitrap myrtle phylogeny fermentation aptamers antibiotics flavor profile carotenoids polyelectrolyte composite film hydrodistillation food quality amino acids bottle aging flavokavains qualitative and quantitative PCR high-throughput sequencing technology mass fragmentation fruit jams ASE walnut varieties anti-inflammatory Pol gene systematic evolution of ligands by exponential enrichment enantiomers agro-biodiversity florfenicol cuprous oxide nanoparticles geographical origin HPLC sunset yellow poultry eggs adulteration dimerization Lactarius deliciosus Scenedesmus HPLC–QTOF–MS/MS ultrasound-assisted extraction food UPLC-FLD hard clams NMR confirmatory method cyclic voltammetry 1H-NMR molecular identification bioactive compounds immature honey chemical composition differential pulse voltammetry kavalactones Polygonatum cyrtonema oligosaccharides Chia seed oil kiwifruit (Actinidia chinensis) biogenic amines supercritical fluid extraction rosé wines spectrum-effect relationship DNA barcode saccharides bifunctional polymer arms single-laboratory validation lipid-lowering effect microalgae essential oil polarity food process control food authentication Meretrix lyrata anthocyanins molecular species of phospholipid microwave-assisted extraction principal component analysis (PCA) fat-soluble vitamins Croatian wines mass spectra 1H NMR carbamates Marynka strain IMS Myrtus communis L. clenbuterol mycotoxin closures Piper methysticum (kava) liquid chromatography mass spectrometry florfenicol amine polyunsaturated fatty acid white wines second-derivative linear sweep voltammetry gold nanoparticles biosensor chemometric analysis multi-physicochemical parameters antihyperglycemic antioxidants phenolic compounds enhanced product ion (EPI) steaming fatty acids composition reduced graphene oxide Tricholoma matsutake PLS phenolic acids Sojae semen praeparatum (SSP) muscle Myrtus communis pesticide residues quercetin collagen peptide conversion DNA extraction fatty acids isomerization lipid classes natural mature honey milk powder fructose molecular weight UHPLC-UV food adulteration metabolites food safety acidity food security impedimetric aptasensor ?-blockers screen-printed interface |
| ISBN | 3-03921-743-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367746703321 |
Gentili Alessandra
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Metabolomics Data Processing and Data Analysis—Current Best Practices
| Metabolomics Data Processing and Data Analysis—Current Best Practices |
| Autore | Hanhineva Kati |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (276 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
metabolic networks
mass spectral libraries metabolite annotation metabolomics data mapping nontarget analysis liquid chromatography mass spectrometry compound identification tandem mass spectral library forensics wastewater gut microbiome meta-omics metagenomics metabolomics metabolic reconstructions genome-scale metabolic modeling constraint-based modeling flux balance host–microbiome metabolism global metabolomics LC-MS spectra processing pathway analysis enrichment analysis mass spectrometry liquid chromatography MS spectral prediction metabolite identification structure-based chemical classification rule-based fragmentation combinatorial fragmentation time series PLS NPLS variable selection bootstrapped-VIP data repository computational metabolomics reanalysis lipidomics data processing triplot multivariate risk modeling environmental factors disease risk chemical classification in silico workflows metabolome mining molecular families networking substructures mass spectrometry imaging metabolomics imaging biostatistics ion selection algorithms liquid chromatography high-resolution mass spectrometry data-independent acquisition all ion fragmentation targeted analysis untargeted analysis R programming full-scan MS/MS processing R-MetaboList 2 liquid chromatography–mass spectrometry (LC/MS) fragmentation (MS/MS) data-dependent acquisition (DDA) simulator in silico untargeted metabolomics liquid chromatography–mass spectrometry (LC-MS) experimental design sample preparation univariate and multivariate statistics metabolic pathway and network analysis LC–MS metabolic profiling computational statistical unsupervised learning supervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557354403321 |
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Hanhineva Kati
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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