Advances in Near Infrared Spectroscopy and Related Computational Methods

Bec, Krzysztof B.; Huck, Christian

doi:10.3390/books978-3-03928-053-7

dc.contributor.author	Bec, Krzysztof B.	*
dc.contributor.author	Huck, Christian	*
dc.date.accessioned	2021-02-11T07:49:38Z
dc.date.available	2021-02-11T07:49:38Z
dc.date.issued	2020	*
dc.date.submitted	2020-01-30 16:39:46	*
dc.identifier	43610	*
dc.identifier.uri	https://directory.doabooks.org/handle/20.500.12854/40321
dc.description.abstract	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.	*
dc.language	English	*
dc.subject	QD1-999	*
dc.subject	QD71-142	*
dc.subject	Q1-390	*
dc.subject.classification	thema EDItEUR::P Mathematics and Science::PN Chemistry	en_US
dc.subject.other	n/a	*
dc.subject.other	pocket-sized spectrometer	*
dc.subject.other	standard germination tests	*
dc.subject.other	total hydroxycinnamic derivatives	*
dc.subject.other	hyperspectral image	*
dc.subject.other	quantitative analysis modeling	*
dc.subject.other	tissue	*
dc.subject.other	chemotherapy	*
dc.subject.other	FTIR spectroscopy	*
dc.subject.other	cheese	*
dc.subject.other	biomeasurements	*
dc.subject.other	chemometrics	*
dc.subject.other	affine invariance	*
dc.subject.other	rapid identification	*
dc.subject.other	biodiagnosis	*
dc.subject.other	bioanalytical applications	*
dc.subject.other	fat	*
dc.subject.other	NIRS	*
dc.subject.other	pixel-wise	*
dc.subject.other	paraffin-embedded	*
dc.subject.other	late preterm	*
dc.subject.other	maize kernel	*
dc.subject.other	photonics	*
dc.subject.other	hyperspectral image processing	*
dc.subject.other	image processing	*
dc.subject.other	colorectal cancer	*
dc.subject.other	test set validation	*
dc.subject.other	deep convolutional neural network	*
dc.subject.other	near-infrared fluorescence	*
dc.subject.other	classification	*
dc.subject.other	variety discrimination	*
dc.subject.other	near-infrared hyperspectral imaging	*
dc.subject.other	ensemble learning	*
dc.subject.other	light	*
dc.subject.other	origin traceability	*
dc.subject.other	Paris polyphylla var. yunnanensis	*
dc.subject.other	Fourier transform mid-infrared spectroscopy	*
dc.subject.other	dry matter	*
dc.subject.other	Fourier transform infrared spectroscopy	*
dc.subject.other	hyperspectral imaging	*
dc.subject.other	FT-NIR spectroscopy	*
dc.subject.other	proximal sensing	*
dc.subject.other	perfusion measurements	*
dc.subject.other	near-infrared spectroscopy	*
dc.subject.other	stained	*
dc.subject.other	carotenoids	*
dc.subject.other	cellular imaging	*
dc.subject.other	perturbation	*
dc.subject.other	direct model transferability	*
dc.subject.other	clinical classifications	*
dc.subject.other	counterfeit and substandard pharmaceuticals	*
dc.subject.other	hyperspectral imaging technology	*
dc.subject.other	spectral imaging	*
dc.subject.other	SVM	*
dc.subject.other	nutritional parameters	*
dc.subject.other	extra virgin olive oil	*
dc.subject.other	ethanol	*
dc.subject.other	osteopathy	*
dc.subject.other	living cells	*
dc.subject.other	object-wise	*
dc.subject.other	water-mirror approach	*
dc.subject.other	Chrysanthemum	*
dc.subject.other	bootstrapping soft shrinkage	*
dc.subject.other	FTIR	*
dc.subject.other	PLS-R	*
dc.subject.other	multivariate data analysis	*
dc.subject.other	combination bands	*
dc.subject.other	binary dragonfly algorithm	*
dc.subject.other	geographical origin	*
dc.subject.other	Vitis vinifera L.	*
dc.subject.other	glucose	*
dc.subject.other	detection	*
dc.subject.other	di-(2-picolyl)amine	*
dc.subject.other	non-destructive sensor	*
dc.subject.other	splanchnic	*
dc.subject.other	adulteration	*
dc.subject.other	animal origin	*
dc.subject.other	melamine	*
dc.subject.other	artemether	*
dc.subject.other	MicroNIR™	*
dc.subject.other	brain	*
dc.subject.other	fluorescent probes	*
dc.subject.other	Folin–Ciocalteu	*
dc.subject.other	SCiO	*
dc.subject.other	support vector machine	*
dc.subject.other	anharmonic quantum mechanical calculations	*
dc.subject.other	PLSR	*
dc.subject.other	Zn(II)	*
dc.subject.other	RMSEP	*
dc.subject.other	overtones	*
dc.subject.other	blackberries	*
dc.subject.other	pasta/sauce blends	*
dc.subject.other	FT-IR	*
dc.subject.other	partial least squares calibration	*
dc.subject.other	partial least squares (PLS)	*
dc.subject.other	auxiliary diagnosis	*
dc.subject.other	handheld near-infrared spectroscopy	*
dc.subject.other	precision viticulture	*
dc.subject.other	partial least squares	*
dc.subject.other	seeds vitality	*
dc.subject.other	freeze-damaged	*
dc.subject.other	near infrared	*
dc.subject.other	discriminant analysis	*
dc.subject.other	corn seed	*
dc.subject.other	quantum chemical calculation	*
dc.subject.other	anharmonic calculation	*
dc.subject.other	Trichosanthis Fructus	*
dc.subject.other	moisture	*
dc.subject.other	analytical spectroscopy	*
dc.subject.other	Raman spectroscopy	*
dc.subject.other	NIR spectroscopy	*
dc.subject.other	calibration transfer	*
dc.subject.other	imaging	*
dc.subject.other	water	*
dc.subject.other	lumefantrine	*
dc.subject.other	BRAF V600E mutation	*
dc.subject.other	wavelength selection	*
dc.subject.other	bone cancer	*
dc.subject.other	imaging visualization	*
dc.subject.other	near infrared spectroscopy	*
dc.subject.other	raisins	*
dc.subject.other	chemometric techniques	*
dc.subject.other	data fusion	*
dc.subject.other	prepared slices	*
dc.subject.other	Ewing sarcoma	*
dc.subject.other	biomonitoring	*
dc.subject.other	Rubus fructicosus	*
dc.subject.other	VIS/NIR hyperspectral imaging	*
dc.subject.other	combinations bands	*
dc.subject.other	quantitative analysis model	*
dc.subject.other	partial least square regression	*
dc.subject.other	DFT calculations	*
dc.subject.other	TreeBagger	*
dc.subject.other	antimalarial tablets	*
dc.subject.other	accelerated aging	*
dc.subject.other	agriculture	*
dc.subject.other	crude drugs	*
dc.subject.other	spectroscopy	*
dc.subject.other	rice seeds	*
dc.subject.other	PLS	*
dc.subject.other	isotopic substitution	*
dc.subject.other	multivariate calibration	*
dc.subject.other	phytoextraction	*
dc.subject.other	Fourier-transform near-infrared spectroscopy	*
dc.subject.other	phenolics	*
dc.subject.other	deparaffinized	*
dc.subject.other	near-infrared (NIR) spectroscopy	*
dc.subject.other	SIMCA	*
dc.subject.other	counter propagation artificial neural network	*
dc.subject.other	fructose	*
dc.subject.other	PLS-DA	*
dc.subject.other	ultra-high performance liquid chromatography	*
dc.subject.other	aquaphotomics	*
dc.subject.other	support vector machine-discriminant analysis	*
dc.subject.other	hier-SVM	*
dc.subject.other	DNA	*
dc.subject.other	NIR	*
dc.subject.other	support vector machine model	*
dc.subject.other	API	*
dc.subject.other	principal component analysis	*
dc.title	Advances in Near Infrared Spectroscopy and Related Computational Methods	*
dc.type	book
oapen.identifier.doi	10.3390/books978-3-03928-053-7	*
oapen.relation.isPublishedBy	46cabcaa-dd94-4bfe-87b4-55023c1b36d0	*
oapen.relation.isbn	9783039280520	*
oapen.relation.isbn	9783039280537	*
oapen.pages	496	*
oapen.edition	1st	*

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