NIR predikce mlynářských a pekařských vlastností odrůd potravinářské pšenice

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F06%3A00016495" target="_blank" >RIV/60461373:22330/06:00016495 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Near-infrared prediction of milling and baking parameters of wheat varieties

Popis výsledku v původním jazyce

The objective of this study was to examine the application of near infrared reflectance spectroscopy (NIRS) to analyze grain and milling parameters: flour extraction, grain protein content, Zeleny sedimentation, deformation energy. Samples including Czech and international varieties were collected from field experiments (crop years 2002-2005) and laboratory milled on Chopin CD1 mill. Spectra were acquired on a scanning monochromator NIRSystem 6500 in the range from 400 to 2500 nm. Calibration equationswere obtained by modified partial least square (PLS) regression analysis of conventional laboratory analytical values of 168 selected NIR spectra using WinISI and MATLAB software. Prediction of Zeleny sedimentation and protein content in particular gavea very good accuracy. The results indicate that the NIR technique can also determine other traits, such as flour extraction and deformation energy, at least with a screening performance.

Název v anglickém jazyce

Near-infrared prediction of milling and baking parameters of wheat varieties

Popis výsledku anglicky

The objective of this study was to examine the application of near infrared reflectance spectroscopy (NIRS) to analyze grain and milling parameters: flour extraction, grain protein content, Zeleny sedimentation, deformation energy. Samples including Czech and international varieties were collected from field experiments (crop years 2002-2005) and laboratory milled on Chopin CD1 mill. Spectra were acquired on a scanning monochromator NIRSystem 6500 in the range from 400 to 2500 nm. Calibration equationswere obtained by modified partial least square (PLS) regression analysis of conventional laboratory analytical values of 168 selected NIR spectra using WinISI and MATLAB software. Prediction of Zeleny sedimentation and protein content in particular gavea very good accuracy. The results indicate that the NIR technique can also determine other traits, such as flour extraction and deformation energy, at least with a screening performance.

Druh

D - Stať ve sborníku

CEP obor

GM - Potravinářství

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2006

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Sborník 17th International Congress of Chemical and Process Engineering

ISBN

80-86059-45-6

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

Czech Society of Chemical Engineering

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

27. 8. 2006

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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