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Pregled bibliografske jedinice broj: 917832

Use of NIR spectroscopy and 3D principal component analysis for particle size control of dried medicinal plants


Valinger, Davor; Benković, Maja; Jurina, Tamara; Jurinjak Tušek, Ana; Belščak-Cvitanović, Ana; Gajdoš Kljusurić, Jasenka; Bauman, Ingrid
Use of NIR spectroscopy and 3D principal component analysis for particle size control of dried medicinal plants // Journal on processing and energy in agriculture, 21 (2017), 1; 17-22 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 917832 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Use of NIR spectroscopy and 3D principal component analysis for particle size control of dried medicinal plants

Autori
Valinger, Davor ; Benković, Maja ; Jurina, Tamara ; Jurinjak Tušek, Ana ; Belščak-Cvitanović, Ana ; Gajdoš Kljusurić, Jasenka ; Bauman, Ingrid

Izvornik
Journal on processing and energy in agriculture (1821-4487) 21 (2017), 1; 17-22

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
near infrared spectroscopy, principle component analysis, particle size, medicinal plants

Sažetak
The regular or in-line measurement of particle size is an essential requirement for quality control throughout food industry to ensure a consistent product output. Non-invasive spectroscopy in the near infrared range from 904 - 1699 nm (NIR) was applied to investigate the possibility of differentiation of five different medicinal plants (chamomile, dandelion, nettle, broadleaf plantain and yarrow). Dry plants were milled and after sieving four fractions were obtained with following particle sizes: <100 μm, 100-280 μm, 280-450 μm and >450 μm. Raw spectra and first derivative of raw spectra were recorded and principle component analysis (PCA) of first three factors was applied (3D PCA). 3D PCA showed better differentiation for first derivative compared to the raw spectra for all five medicinal plants and all analyzed particle sizes. Particle size fractions were photographed using microscope in order to explain analysis results for fractions 280-450 μm and >450 μm, where the presence of smaller particles was visible for all five medicinal plants.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Kemijsko inženjerstvo, Prehrambena tehnologija



POVEZANOST RADA


Projekti:
HR.3.2.01-0069

Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb

Poveznice na cjeloviti tekst rada:

scindeks-clanci.ceon.rs scindeks.ceon.rs

Citiraj ovu publikaciju:

Valinger, Davor; Benković, Maja; Jurina, Tamara; Jurinjak Tušek, Ana; Belščak-Cvitanović, Ana; Gajdoš Kljusurić, Jasenka; Bauman, Ingrid
Use of NIR spectroscopy and 3D principal component analysis for particle size control of dried medicinal plants // Journal on processing and energy in agriculture, 21 (2017), 1; 17-22 (međunarodna recenzija, članak, znanstveni)
Valinger, D., Benković, M., Jurina, T., Jurinjak Tušek, A., Belščak-Cvitanović, A., Gajdoš Kljusurić, J. & Bauman, I. (2017) Use of NIR spectroscopy and 3D principal component analysis for particle size control of dried medicinal plants. Journal on processing and energy in agriculture, 21 (1), 17-22.
@article{article, author = {Valinger, Davor and Benkovi\'{c}, Maja and Jurina, Tamara and Jurinjak Tu\v{s}ek, Ana and Bel\v{s}\v{c}ak-Cvitanovi\'{c}, Ana and Gajdo\v{s} Kljusuri\'{c}, Jasenka and Bauman, Ingrid}, year = {2017}, pages = {17-22}, keywords = {near infrared spectroscopy, principle component analysis, particle size, medicinal plants}, journal = {Journal on processing and energy in agriculture}, volume = {21}, number = {1}, issn = {1821-4487}, title = {Use of NIR spectroscopy and 3D principal component analysis for particle size control of dried medicinal plants}, keyword = {near infrared spectroscopy, principle component analysis, particle size, medicinal plants} }
@article{article, author = {Valinger, Davor and Benkovi\'{c}, Maja and Jurina, Tamara and Jurinjak Tu\v{s}ek, Ana and Bel\v{s}\v{c}ak-Cvitanovi\'{c}, Ana and Gajdo\v{s} Kljusuri\'{c}, Jasenka and Bauman, Ingrid}, year = {2017}, pages = {17-22}, keywords = {near infrared spectroscopy, principle component analysis, particle size, medicinal plants}, journal = {Journal on processing and energy in agriculture}, volume = {21}, number = {1}, issn = {1821-4487}, title = {Use of NIR spectroscopy and 3D principal component analysis for particle size control of dried medicinal plants}, keyword = {near infrared spectroscopy, principle component analysis, particle size, medicinal plants} }

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  • AGRIS International





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