Advances in Near Infrared Spectroscopy and Related Computational Methods

In the last few decades, near-infrared (NIR) spectroscopy has distinguished itself as one of the most rapidly advancing spectroscopic techniques. Mainly known as an analytical tool useful for sample characterization and content quantification, NIR spectroscopy is essential in various other fields, e...

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Year of Publication:2020
Language:English
Physical Description:1 electronic resource (496 p.)
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ctrlnum (CKB)4100000010163761
(oapen)https://directory.doabooks.org/handle/20.500.12854/40321
(EXLCZ)994100000010163761
collection bib_alma
record_format marc
spelling Bec, Krzysztof B. auth
Advances in Near Infrared Spectroscopy and Related Computational Methods
MDPI - Multidisciplinary Digital Publishing Institute 2020
1 electronic resource (496 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Open access Unrestricted online access star
In the last few decades, near-infrared (NIR) spectroscopy has distinguished itself as one of the most rapidly advancing spectroscopic techniques. Mainly known as an analytical tool useful for sample characterization and content quantification, NIR spectroscopy is essential in various other fields, e.g. NIR imaging techniques in biophotonics, medical applications or used for characterization of food products. Its contribution in basic science and physical chemistry should be noted as well, e.g. in exploration of the nature of molecular vibrations or intermolecular interactions. One of the current development trends involves the miniaturization and simplification of instrumentation, creating prospects for the spread of NIR spectrometers at a consumer level in the form of smartphone attachments—a breakthrough not yet accomplished by any other analytical technique. A growing diversity in the related methods and applications has led to a dispersion of these contributions among disparate scientific communities. The aim of this Special Issue was to bring together the communities that may perceive NIR spectroscopy from different perspectives. It resulted in 30 contributions presenting the latest advances in the methodologies essential in near-infrared spectroscopy in a variety of applications.
English
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
3-03928-052-X
Huck, Christian auth
language English
format eBook
author Bec, Krzysztof B.
spellingShingle Bec, Krzysztof B.
Advances in Near Infrared Spectroscopy and Related Computational Methods
author_facet Bec, Krzysztof B.
Huck, Christian
author_variant k b b kb kbb
author2 Huck, Christian
author2_variant c h ch
author_sort Bec, Krzysztof B.
title Advances in Near Infrared Spectroscopy and Related Computational Methods
title_full Advances in Near Infrared Spectroscopy and Related Computational Methods
title_fullStr Advances in Near Infrared Spectroscopy and Related Computational Methods
title_full_unstemmed Advances in Near Infrared Spectroscopy and Related Computational Methods
title_auth Advances in Near Infrared Spectroscopy and Related Computational Methods
title_new Advances in Near Infrared Spectroscopy and Related Computational Methods
title_sort advances in near infrared spectroscopy and related computational methods
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2020
physical 1 electronic resource (496 p.)
isbn 3-03928-053-8
3-03928-052-X
illustrated Not Illustrated
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