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Advances in Near Infrared Spectroscopy and Related Computational Methods
Advances in Near Infrared Spectroscopy and Related Computational Methods
Autore Bec Krzysztof B
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (496 p.)
Soggetto non controllato pocket-sized spectrometer
standard germination tests
total hydroxycinnamic derivatives
hyperspectral image
quantitative analysis modeling
tissue
chemotherapy
FTIR spectroscopy
cheese
biomeasurements
chemometrics
affine invariance
rapid identification
biodiagnosis
bioanalytical applications
fat
NIRS
pixel-wise
paraffin-embedded
late preterm
maize kernel
photonics
hyperspectral image processing
image processing
colorectal cancer
test set validation
deep convolutional neural network
near-infrared fluorescence
classification
variety discrimination
near-infrared hyperspectral imaging
ensemble learning
light
origin traceability
Paris polyphylla var. yunnanensis
Fourier transform mid-infrared spectroscopy
dry matter
Fourier transform infrared spectroscopy
hyperspectral imaging
FT-NIR spectroscopy
proximal sensing
perfusion measurements
near-infrared spectroscopy
stained
carotenoids
cellular imaging
perturbation
direct model transferability
clinical classifications
counterfeit and substandard pharmaceuticals
hyperspectral imaging technology
spectral imaging
SVM
nutritional parameters
extra virgin olive oil
ethanol
osteopathy
living cells
object-wise
water-mirror approach
Chrysanthemum
bootstrapping soft shrinkage
FTIR
PLS-R
multivariate data analysis
combination bands
binary dragonfly algorithm
geographical origin
Vitis vinifera L.
glucose
detection
di-(2-picolyl)amine
non-destructive sensor
splanchnic
adulteration
animal origin
melamine
artemether
MicroNIR™
brain
fluorescent probes
Folin-Ciocalteu
SCiO
support vector machine
anharmonic quantum mechanical calculations
PLSR
Zn(II)
RMSEP
overtones
blackberries
pasta/sauce blends
FT-IR
partial least squares calibration
partial least squares (PLS)
auxiliary diagnosis
handheld near-infrared spectroscopy
precision viticulture
partial least squares
seeds vitality
freeze-damaged
near infrared
discriminant analysis
corn seed
quantum chemical calculation
anharmonic calculation
Trichosanthis Fructus
moisture
analytical spectroscopy
Raman spectroscopy
NIR spectroscopy
calibration transfer
imaging
water
lumefantrine
BRAF V600E mutation
wavelength selection
bone cancer
imaging visualization
near infrared spectroscopy
raisins
chemometric techniques
data fusion
prepared slices
Ewing sarcoma
biomonitoring
Rubus fructicosus
VIS/NIR hyperspectral imaging
combinations bands
quantitative analysis model
partial least square regression
DFT calculations
TreeBagger
antimalarial tablets
accelerated aging
agriculture
crude drugs
spectroscopy
rice seeds
PLS
isotopic substitution
multivariate calibration
phytoextraction
Fourier-transform near-infrared spectroscopy
phenolics
deparaffinized
near-infrared (NIR) spectroscopy
SIMCA
counter propagation artificial neural network
fructose
PLS-DA
ultra-high performance liquid chromatography
aquaphotomics
support vector machine-discriminant analysis
hier-SVM
DNA
NIR
support vector machine model
API
principal component analysis
ISBN 3-03928-053-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910372786503321
Bec Krzysztof B  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence in Oral Health
Artificial Intelligence in Oral Health
Autore Lee Jae-Hong
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (190 p.)
Soggetto topico Medicine
Soggetto non controllato machine learning
artificial intelligence
malocclusion
diagnostic imaging
active learning
maxillary sinusitis
convolutional neural network
deep learning
segmentation
oral microbiota
LEfSe
PCoA
alloprevotella
prevotella
core microbiota
artificial neural networks
oral cancer diagnosis
oral cancer prediction
pit and fissure sealants
caries assessment
visual examination
clinical evaluation
convolutional neural networks
transfer learning
deep learning network
YOLOv4
mandibular third molar
inferior alveolar nerve
contact relationship
panoramic radiograph
deep learning methods
caries diagnosis
dental panoramic images
radiography
Fourier transform infrared spectroscopy
FTIR imaging
spectral biomarker
multivariate analysis
discriminant model
oral squamous cell carcinoma
oral epithelial dysplasia
oral potentially malignant disorder
risk stratification
early oral cancer detection
dentigerous cysts
histopathology images
image classification
odontogenic keratocysts
radicular cysts
AI
screening
diagnosis
dentistry
ultrasonography
tongue
algorithm
dysphagia
impacted
tooth
detection
neural networks
proximal caries
training strategy
small dataset
periapical radiograph
X-ray
tooth extraction
oroantral fistula
operative planning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595066803321
Lee Jae-Hong  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Biomass Processing for Biofuels, Bioenergy and Chemicals
Biomass Processing for Biofuels, Bioenergy and Chemicals
Autore Bhaskar Thallada
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (428 p.)
Soggetto non controllato oxidation stability
power density
lipids
pre-treatment
dark fermentation
hydrodeoxygenation
combustion characteristics
hydrogen
feed solution
emission
cow manure
anaerobic digestion
synergistic effect
biodiesel
thermophilic
mesophilic
antioxidant
crude oil
biofuel
rice husk
base-catalyzed transesterification
enzymatic digestibility
fatty acid methyl ester
coffee mucilage
osmotic membrane
fermentation
forward osmosis
Fourier transform infrared spectroscopy
lignocellulose
dimethyl carbonate
diesel
triacylglycerides
drop-in fuel
draw solution
subcritical methanol
free fatty acids
Rhus typhina biodiesel
sewage sludge
alternative fuel
vacuum
intake temperature
Physico-chemical properties
bioethanol
energy yield
tert-butylhydroquinone
non-edible oil
biomass
nano-catalysts
Fatty Acid Methyl Ester
bioenergy
direct carbon fuel cell
viscosity
FAME yield
reaction kinetics
gasification
operating conditions
injection strategies
instar
butylated hydroxyanisole
torrefaction
nanomagnetic catalyst
fatty acid methyl esters
crude glycerol
renewable energy
pyrolysis
glycerol carbonate
single-pellet combustion
biodiesel production
nanotechnology
microwave irradiation
pressure-retarded osmosis
black soldier fly larvae (BSFL)
technology development
concentration polarization
waste
nano-additives
bio-jet fuel
kinetic study
thermogravimetric analysis
rubber seed oil
combustion
potato peels
power generation
response surface
biochar
lipid
organic wastes
extrusion
co-combustion
biomass pretreatment
microwave
hardwood
Rancimat method
anaerobic treatment
post-treatment
fatty acid methyl ester (FAME)
biogas
GCI
compression ratio
membrane fouling
environment
rice straw
pretreatment
free fatty acid
palm oil mill effluent
acclimatization
Box-Behnken design
ISBN 3-03928-910-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404079103321
Bhaskar Thallada  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Carbapenemase-Producing Enterobacterales
Carbapenemase-Producing Enterobacterales
Autore Andreoni Francesca
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (304 p.)
Soggetto topico Research & information: general
Biology, life sciences
Microbiology (non-medical)
Soggetto non controllato carbapenem resistance
carbapenemase
whole genome sequencing
long reads, plasmid
Klebsiella pneumoniae
extensively drug-resistant
molecular typing
carbapenemases
Enterobacteriales
human
animal
food
environment
carbapenemase-producing Enterobacterales
KPC
carbapenem
multidrug resistance
nosocomial
Enterobacteriaceae
ESBL
resistance genes
cattle
blaOXA-48
ERIC-PCR
plasmid profile analysis
biofilm formation
PCR-based replicon typing
antibiotic-resistance
sequence types
multilocus sequence typing
plasmids
antimicrobial resistance
carbapenem inactivation method
carbapenem-resistant Enterobacterales
real-time multiplex PCR
whole-genome sequencing
carbapenem-resistance
Qatar
CRE
OXA-48
carbapenems resistance
Gram-negative bacteria
infection
colonization
COVID-19
K. pneumoniae
porins
ceftazidime/avibactam
ESKAPE
healthcare-associated infections
antimicrobial peptides
Temporin L
Klebsiella michiganensis
Citrobacter farmeri
KPC-2
plasmid
transposon
carbapenem-resistant Enterobacteriaceae (CRE)
outbreak
infection control
pulsed-field gel electrophoresis (PFGE)
multilocus sequence typing (MLST)
IMP-6
porin
efflux pump
nosocomial infections
NDM-1
Fourier transform infrared spectroscopy
Eazyplex® SuperBug CRE assay
extended-spectrum beta-lactamases
gram-negative rods
LAMP method
NDM
VIM
molecular epidemiology
PFGE
Carbapenemase producing Enterobacterales
IncX-3
one health
water
colistin susceptibility testing
broth microdilution
colistin broth disc elution
Vitek 2 compact
rapid polymyxin NP test
Etest
ChromID colistin R agar
micronaut MIC-strip colistin
population analysis profiling
Enterobacterales
neonates
plasmid-typing
sequence type
wastewater
virulence
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566466503321
Andreoni Francesca  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Microplastics Degradation and Characterization
Microplastics Degradation and Characterization
Autore La Nasa Jacopo
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (400 p.)
Soggetto topico Mathematics & science
Chemistry
Quantum & theoretical chemistry
Soggetto non controllato PEEK
SIRM
damage mechanisms
GISAXS
irradiation
micro and nanoplastics
freshwater
sludge
optical detection
portable devices
in situ detection
microplastics
marine sediment
pet
nylon 6
nylon 6,6
reversed-phase HPLC
polyolefin
polystyrene
Pyr-GC/MS
polymer degradation
microparticles
PLA
PBS
enzymes
specificity
thermal profile
activation energy
wastewater
Raman spectroscopy
laser speckle pattern
transmittance
sedimentation
HDPE
microbeads
photocatalysis
scavengers
C,N-TiO2
remediation
nanotechnology
plastic pollution
visible light photodegradation
microplastic
ratiometric detection
no-wash fluorescent probe
imaging
one-pot reaction
water remediation
nanoplastic
artificial ageing
polyolefins
polyethylene terephthalate
microplastic fiber
washing textile
drying textile
polyester yarn types
microplastic extraction
oil extraction
density separation
GC–MS
mass spectrometry identification
plastic polymers
polyethylene
terrestrial
soil
polymers
geotechnics
landfills
geosynthetics
GCL
clay liner
hydraulic conductivity
plastics
anthropogenic activities
quantification
marine
multi-parametric platform
bioplastics
marine environment
spectroscopy
resin pellets
nanoplastics
microplastic detection and identification
microplastic quantification
food packaging
particle release
plastic consumption
ecotoxicity assessment
size influence
concentration influence
microplastic pellets
weathering
degradation
Yellowness Index
Fourier transform infrared spectroscopy
persistent organic pollutants
oxidative digestion
Fenton’s reagent
virgin
aged
SEM
FTIR
PAHs
surface water
chemical composition
Ho Chi Minh City
cement mortars
municipal incinerated bottom ash
PET pellets
hydrogel
potassium and sodium polyacrylate
swelling
physicochemical changes in the water
polymeric nanoparticles
Portugal
resin
pharmaceutical
PVC
paint
wastewater treatment plant
South China Sea
pollution
Py-GC/MS
fragmentation and degradation
mechanism
ISBN 3-0365-5265-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619464003321
La Nasa Jacopo  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Phenolic Compounds: Extraction, Optimization, Identification and Applications in Food Industry
Phenolic Compounds: Extraction, Optimization, Identification and Applications in Food Industry
Autore Abu-Reidah Ibrahim M
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (250 p.)
Soggetto topico Research & information: general
Biology, life sciences
Food & society
Soggetto non controllato flavonoids
extraction methods
biotransformation
human health
verjuice
phytochemicals
unripe grape juice
pulmonary adenocarcinoma
anti-proliferative
antioxidant
Dalbergia species
DPPH free radical scavenging assay
fatty acid
phytosterol
tocopherol
total phenolic compound composition
U/A-AE
Nephelium lappaceum L.
separation
ellagitannins
geraniin
olive oil
olive paste
by-product
industrial process
phenolic compounds
Moringa oleifera
microencapsulation
cell viability
storage
in vitro digestion
polyphenols
antioxidant activity
Echinacea purpurea extracts
glassy carbon electrode (GCE)
carbon nanotubes (CNTs)
SARS-CoV
coronavirus
traditional Chinese medicine
COVID-19
natural products
polyphenolic
Phenol-Explorer
I-Class
Synapt G2-Si
phenolomics
pumpkin seed oil
oleogels
HPLC-MS
Fourier transform infrared spectroscopy
chemometrics
storage follow-up
potato peel
ultrasound
phenolic compound
Cabernet Sauvignon concentrate
reverse osmosis
nanofiltration
cellulose/raspberry encapsulates
phenolics
anthocyanins
inhibition of α-amylase
TWIMS
phenol-explorer database
UPLC-MS-MS
bee pollen
cinnamic acid derivatives
food processing
kaempferol glycosides
luteolin
quercetin glycosides
tricetin
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Phenolic Compounds
Record Nr. UNINA-9910576873003321
Abu-Reidah Ibrahim M  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Progress in Analytical Methods for the Characterization, Quality and Safety of the Beehive Products
Progress in Analytical Methods for the Characterization, Quality and Safety of the Beehive Products
Autore Sanna Gavino
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (240 p.)
Soggetto topico Research & information: general
Chemistry
Analytical chemistry
Soggetto non controllato propolis
poplar
HPLC–Q-Exactive-Orbitrap®–MS analysis
phenolic glycerides
essential and non-essential nutrients
nucleosides
honey composition
uridine
neuropharmacological activities
filtered honey
botanical origin
fluorescence spectrometry
antioxidant activity
spectrum–effect relationships
cluster analysis
principal component analysis
multiple linear regression analysis
sample preparation
trace element
toxic element
spectroanalytical technique
biomonitoring
bee pollen
ascorbic acid
total ascorbic acids
dehydroascorbic acid
HILIC
honey discrimination
strawberry-tree
thistle
eucalyptus
asphodel
attenuated total reflectance
Fourier transform infrared spectroscopy
bee products
multielemental analysis
ICP-MS
ICP-OES
inorganic contaminants
heavy metals
honey
quality standards
protein
amylase
acid phosphatase
native PAGE
royal jelly
proteins
ProteoMinerTM
MALDI-TOF-MS
proteomics
beehive product
unedone
bitter taste
strawberry tree honey
LC-ESI/LTQ-Orbitrap-MS
PCA
PLS
aroma composition
sugar content
QDA profile
HMF
furanic aldehydes
furanic acids
homogentisic acid
cyclic voltammetry
square wave voltammetry
RP-HPLC
bees
beehive products
cold vapor atomic fluorescence spectrometry
toxic metal
trace elements
toxic elements
geographical origin
strawberry tree
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576885803321
Sanna Gavino  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui