Modern Sample Preparation Approaches for Separation Science |
Autore | Neng Nuno |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (282 p.) |
Soggetto non controllato |
caffeine and acetaminophen tracers
solvent delivery with a moving pipette determination China herbal tea enrichment review on-line pectin nanocomposite Cassiae Semen environmental analysis pathogenic preconcentration nail liver extraction sample preparation hydrogel solid-phase extraction geological samples ionic liquids rice grains subzero-temperature assisted liquid–liquid extraction sugaring-out assisted liquid–liquid extraction poly (OMA-co-TRIM) monolithic column hormones vortex-synchronized matrix solid-phase dispersion trace analysis gas chromatography LC–MS/MS membrane-based microextraction gold antipsychotics in-line filter HPLC space instrumentation liquid chromatography biological samples vitamins polyvinyl alcohol in-tube SPME high-frequency heating UPLC-MS/MS oxylipins nucleic acid isolation non-anthocyanin polyphenol large volume barbiturates solvent front position extraction oligopeptides urine SPE whole blood anthraquinones flow rate chlorophenoxy acid herbicides amlodipine schizophrenic’ patients salting-out assisted liquid–liquid extraction automation sorbent whole water blueberry hydrophobic-solvent assisted liquid–liquid extraction crab shells miniaturization curie temperature sand UHPLC-MS/MS multi-spheres adsorptive micro-extraction (MSA?E) floating sampling technology protein precipitation pesticides residue sample preparation with TLC/HPTLC phenolic compounds response surface methodology vortex-assisted dispersive liquid-liquid microextraction trapping system caffeine aflatoxins liquid chromatography–tandem mass spectrometry pesticides organic-based monoliths matrix solid phase dispersion simultaneous determination pharmaceuticals sorbent-based techniques desirability function approach plasma samples environmental water matrices hydrophobic in-tube solid-phase microextraction liquid–liquid extraction |
ISBN | 3-03921-412-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367756003321 |
Neng Nuno | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Recent Advances in Volatile Organic Compound Analysis as Diagnostic Biomarkers |
Autore | Drabińska Natalia |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (224 p.) |
Soggetto topico |
Research & information: general
Chemistry |
Soggetto non controllato |
liquid–liquid extraction
volatile compounds urine method optimization GC-MS 1H-NMR iron deficiency anaemia iron supplementation volatile organic compounds (VOCs) intestinal metabolome gut microbiome CDH microbiome VOCs spiroergometry outcome exhaled breath eNose smoking asthma COPD NTD-GC-MS breath lung cancer biomarkers volatile organic compounds urine analysis comprehensive two-dimensional gas chromatography kidney diseases urinary biomarkers hepatocellular carcinoma diagnosis headspace analysis untargeted analysis breath analysis cancer biomarkers volatolomics whole grain rye comprehensive two-dimensional gas chromatography–mass spectrometry dietary fiber e-nose electronic nose breathing rhythm mechanical ventilation anesthesia supplemental oxygen oxygen toxicity lipid peroxidation volatile aldehydes pentanal hexanal classification models dairy cows fecal headspace Mycobacterium avium ssp. paratuberculosis (MAP) paratuberculosis random forest stable air volatile organic compound (VOC) biomarker MCC–IMS ventilator-induced lung injury metabolome feces neonates fermentation protein carbohydrate short chain fatty acid metabolites volatile organic compound acute gastritis antibiotic treatment treatment dynamics: microbiota mid-infrared spectroscopy short-chain fatty acid alpha-keto acid Helicobacter pylori MOX sensors low sensing chamber volume calibration transfer standard samples piecewise direct standardization correlation alignment breath sampling pattern recognition |
ISBN | 3-0365-5349-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910619463903321 |
Drabińska Natalia | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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