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...
Saved in:
: | |
---|---|
Year of Publication: | 2020 |
Language: | English |
Physical Description: | 1 electronic resource (496 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993548796104498 |
---|---|
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 |
work_keys_str_mv |
AT beckrzysztofb advancesinnearinfraredspectroscopyandrelatedcomputationalmethods AT huckchristian advancesinnearinfraredspectroscopyandrelatedcomputationalmethods |
status_str |
n |
ids_txt_mv |
(CKB)4100000010163761 (oapen)https://directory.doabooks.org/handle/20.500.12854/40321 (EXLCZ)994100000010163761 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Advances in Near Infrared Spectroscopy and Related Computational Methods |
author2_original_writing_str_mv |
noLinkedField |
_version_ |
1787551667398377472 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>07731nam-a2202197z--4500</leader><controlfield tag="001">993548796104498</controlfield><controlfield tag="005">20231214133551.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202102s2020 xx |||||o ||| 0|eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3-03928-053-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)4100000010163761</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/40321</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)994100000010163761</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bec, Krzysztof B.</subfield><subfield code="4">auth</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Advances in Near Infrared Spectroscopy and Related Computational Methods</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (496 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Open access</subfield><subfield code="f">Unrestricted online access</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">pocket-sized spectrometer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">standard germination tests</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">total hydroxycinnamic derivatives</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hyperspectral image</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">quantitative analysis modeling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">tissue</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">chemotherapy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">FTIR spectroscopy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cheese</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">biomeasurements</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">chemometrics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">affine invariance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rapid identification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">biodiagnosis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">bioanalytical applications</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fat</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">NIRS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">pixel-wise</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">paraffin-embedded</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">late preterm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">maize kernel</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">photonics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hyperspectral image processing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">image processing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">colorectal cancer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">test set validation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">deep convolutional neural network</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">near-infrared fluorescence</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">classification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">variety discrimination</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">near-infrared hyperspectral imaging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ensemble learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">light</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">origin traceability</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Paris polyphylla var. yunnanensis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Fourier transform mid-infrared spectroscopy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">dry matter</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Fourier transform infrared spectroscopy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hyperspectral imaging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">FT-NIR spectroscopy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">proximal sensing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">perfusion measurements</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">near-infrared spectroscopy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">stained</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">carotenoids</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cellular imaging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">perturbation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">direct model transferability</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">clinical classifications</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">counterfeit and substandard pharmaceuticals</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hyperspectral imaging technology</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">spectral imaging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SVM</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">nutritional parameters</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">extra virgin olive oil</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ethanol</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">osteopathy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">living cells</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">object-wise</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">water-mirror approach</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Chrysanthemum</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">bootstrapping soft shrinkage</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">FTIR</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">PLS-R</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">multivariate data analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">combination bands</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">binary dragonfly algorithm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">geographical origin</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Vitis vinifera L.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">glucose</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">di-(2-picolyl)amine</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">non-destructive sensor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">splanchnic</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">adulteration</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">animal origin</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">melamine</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">artemether</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">MicroNIR™</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">brain</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fluorescent probes</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Folin-Ciocalteu</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SCiO</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">support vector machine</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">anharmonic quantum mechanical calculations</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">PLSR</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Zn(II)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">RMSEP</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">overtones</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">blackberries</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">pasta/sauce blends</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">FT-IR</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">partial least squares calibration</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">partial least squares (PLS)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">auxiliary diagnosis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">handheld near-infrared spectroscopy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">precision viticulture</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">partial least squares</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">seeds vitality</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">freeze-damaged</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">near infrared</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">discriminant analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">corn seed</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">quantum chemical calculation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">anharmonic calculation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Trichosanthis Fructus</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">moisture</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">analytical spectroscopy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Raman spectroscopy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">NIR spectroscopy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">calibration transfer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">imaging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">water</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">lumefantrine</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">BRAF V600E mutation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wavelength selection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">bone cancer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">imaging visualization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">near infrared spectroscopy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">raisins</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">chemometric techniques</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data fusion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">prepared slices</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Ewing sarcoma</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">biomonitoring</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Rubus fructicosus</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">VIS/NIR hyperspectral imaging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">combinations bands</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">quantitative analysis model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">partial least square regression</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">DFT calculations</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">TreeBagger</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">antimalarial tablets</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">accelerated aging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">agriculture</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">crude drugs</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">spectroscopy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rice seeds</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">PLS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">isotopic substitution</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">multivariate calibration</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">phytoextraction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Fourier-transform near-infrared spectroscopy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">phenolics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">deparaffinized</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">near-infrared (NIR) spectroscopy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SIMCA</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">counter propagation artificial neural network</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fructose</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">PLS-DA</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ultra-high performance liquid chromatography</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">aquaphotomics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">support vector machine-discriminant analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hier-SVM</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">DNA</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">NIR</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">support vector machine model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">API</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">principal component analysis</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-03928-052-X</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Huck, Christian</subfield><subfield code="4">auth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:57:56 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2020-02-22 21:58:18 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338891390004498&Force_direct=true</subfield><subfield code="Z">5338891390004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338891390004498</subfield></datafield></record></collection> |