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 |
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993548796104498 (CKB)4100000010163761 (oapen)https://directory.doabooks.org/handle/20.500.12854/40321 (oapen)doab40321 (EXLCZ)994100000010163761 |
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Bec, Krzysztof B. auth Advances in Near Infrared Spectroscopy and Related Computational Methods MDPI - Multidisciplinary Digital Publishing Institute 2020 1 online 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 accelerated aging adulteration affine invariance agriculture analytical spectroscopy anharmonic calculation anharmonic quantum mechanical calculations animal origin antimalarial tablets API aquaphotomics artemether auxiliary diagnosis binary dragonfly algorithm bioanalytical applications biodiagnosis biomeasurements biomonitoring blackberries bone cancer bootstrapping soft shrinkage BRAF V600E mutation brain calibration transfer carotenoids cellular imaging cheese chemometric techniques chemometrics chemotherapy Chrysanthemum classification clinical classifications colorectal cancer combination bands combinations bands corn seed counter propagation artificial neural network counterfeit and substandard pharmaceuticals crude drugs data fusion deep convolutional neural network deparaffinized detection DFT calculations di-(2-picolyl)amine direct model transferability discriminant analysis DNA dry matter ensemble learning ethanol Ewing sarcoma extra virgin olive oil fat fluorescent probes Folin-Ciocalteu Fourier transform infrared spectroscopy Fourier transform mid-infrared spectroscopy Fourier-transform near-infrared spectroscopy freeze-damaged fructose FT-IR FT-NIR spectroscopy FTIR FTIR spectroscopy geographical origin glucose handheld near-infrared spectroscopy hier-SVM hyperspectral image hyperspectral image processing hyperspectral imaging hyperspectral imaging technology image processing imaging imaging visualization isotopic substitution late preterm light living cells lumefantrine maize kernel melamine MicroNIR™ moisture multivariate calibration multivariate data analysis n/a near infrared near infrared spectroscopy near-infrared (NIR) spectroscopy near-infrared fluorescence near-infrared hyperspectral imaging near-infrared spectroscopy NIR NIR spectroscopy NIRS non-destructive sensor nutritional parameters object-wise origin traceability osteopathy overtones paraffin-embedded Paris polyphylla var. yunnanensis partial least square regression partial least squares partial least squares (PLS) partial least squares calibration pasta/sauce blends perfusion measurements perturbation phenolics photonics phytoextraction pixel-wise PLS PLS-DA PLS-R PLSR pocket-sized spectrometer precision viticulture prepared slices principal component analysis proximal sensing quantitative analysis model quantitative analysis modeling quantum chemical calculation raisins Raman spectroscopy rapid identification rice seeds RMSEP Rubus fructicosus SCiO seeds vitality SIMCA spectral imaging spectroscopy splanchnic stained standard germination tests support vector machine support vector machine model support vector machine-discriminant analysis SVM test set validation tissue total hydroxycinnamic derivatives TreeBagger Trichosanthis Fructus ultra-high performance liquid chromatography variety discrimination VIS/NIR hyperspectral imaging Vitis vinifera L. water water-mirror approach wavelength selection Zn(II) Chemistry bicssc 3-03928-052-X Huck, Christian auth DOAB Library. Bec, Krzysztof B. aut Huck, Christian aut |
| language |
English |
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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 online resource (496 p.) |
| isbn |
3-03928-053-8 3-03928-052-X |
| illustrated |
Not Illustrated |
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