Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Chromatography-the Ultimate Analytical Tool
| Chromatography-the Ultimate Analytical Tool |
| Autore | Samanidou Victoria |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (200 p.) |
| Soggetto topico |
Research & information: general
Chemistry Analytical chemistry |
| Soggetto non controllato |
polyamine
steroid breast cancer liquid chromatography–tandem mass spectrometry serum photoaging proteomics genomics Swietenia macrophylla UV irradiation keratinocytes epidermal layer cosmetics natural product LC-MS/MS metabolomics targeted analysis nontargeted analysis sample preparation derivatization validation biomarkers mycophenolate mofetil mycophenolic acid pediatric patients limited sampling strategy multiple linear regression therapeutic drug monitoring almonds HPLC authenticity PCA tocopherols phenolics method validation Miang catechins caffeine gallic acid walnut septum UAE SPE flavonoids functional HPLC-DAD biotin acceptor peptide (BAP) biotin ligase BirA liquid chromatography tandem mass spectrometry (LC-MS/MS) multiple reaction monitoring (MRM) protein–protein interactions (PPIs) proximity utilizing biotinylation (PUB) greener HPTLC paracetamol simultaneous determination microflow LC-MS mLC-MS/MS liver fibrosis hemopexin biomarker |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576887103321 |
Samanidou Victoria
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Emerging Marine Biotoxins
| Emerging Marine Biotoxins |
| Autore | Gerssen Arjen |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (206 pages) |
| Soggetto non controllato |
C-CTX-1
non-targeted analysis ciguatera fish poisoning suspects screening neurodegeneration adaptation LC-HRMS paralytic shellfish toxins LC-MS/MS animal toxins identification method characterization caribbean ciguatoxins oral toxicity water flea quorum sensing eutrophication beta-methyl-amino-l-alanine dynamics simulation thermal water spent medium Microcystis Gambierdiscus gambierdiscus whole genome sequencing palytoxin conotoxin ovatoxins cyanobacterial toxin BMAA Ciguatera fish poisoning Rastrineobola argentea calcium-activated K+ ion channel toxicity equivalence factor NMR spectroscopy N2a PPIA marine biotoxins Daphnia magna ELISA disulfide-rich peptide food chain ShK-like peptide voltage-gated K+ ion channel targeted analysis Chinese yellow catfish marine macaronesia neuroblastoma bioassay marine toxins acute toxicity algal-bacterial relationship mass spectrometry tetrodotoxins saxitoxin toxicology cationization seafood safety evolution cyanotoxins toxin genes zoantharian spatial variability dopaminergic neurons tetrodotoxin bivalve mollusks |
| ISBN | 3-03921-349-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367565003321 |
|
Gerssen Arjen
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Hanhineva Kati
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||