Využití infračervené spektroskopie a analýzy vnějšího množství pro kvantifikace tuku, dusíku a vlhkosti kakaového prášku

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F07%3A00019034" target="_blank" >RIV/60461373:22330/07:00019034 - 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

Infrared spectroscopy and outer product analysis for quantification of fat, nitrogen, and moisture of cocoa powder

Popis výsledku v původním jazyce

The combination of the near IR (NIR) and Fourier-transform IR (FTIR) absorbance spectra (1100-2500 nm and 4000-600 cm-1) of 100 cocoa powder samples was used to build calibration models for the determination of the content of fat, nitrogen, and moisture.The samples that comprised the dataset had an average component of 13.51% of fat, 3.77% nitrogen, and 3.98% moisture. The fat content ranged from 2.42 to 22.00%, the nitrogen from 0.88 to 4.48%, and moisture from 1.60 to 7.80%. For NIR, the relative root mean square error of cross-validation (RMSECV) was 7.0% (R 2 = 0.96) for fat, 1.7% (R 2 = 0.98) for nitrogen, and 5.2% (R 2 = 0.94) for moisture. For FTIR, the relative RMSECV was 10.4% (R 2 = 0.94) for fat and 3.9% (R 2 = 0.95) for nitrogen. However,for moisture, it was not possible to build a calibration model with suitable predictability. The combination of the NIR and FTIR domains (data fusion) by outer product analysis PLS1 allowed to predict these parameters and to characterize

Název v anglickém jazyce

Infrared spectroscopy and outer product analysis for quantification of fat, nitrogen, and moisture of cocoa powder

Popis výsledku anglicky

The combination of the near IR (NIR) and Fourier-transform IR (FTIR) absorbance spectra (1100-2500 nm and 4000-600 cm-1) of 100 cocoa powder samples was used to build calibration models for the determination of the content of fat, nitrogen, and moisture.The samples that comprised the dataset had an average component of 13.51% of fat, 3.77% nitrogen, and 3.98% moisture. The fat content ranged from 2.42 to 22.00%, the nitrogen from 0.88 to 4.48%, and moisture from 1.60 to 7.80%. For NIR, the relative root mean square error of cross-validation (RMSECV) was 7.0% (R 2 = 0.96) for fat, 1.7% (R 2 = 0.98) for nitrogen, and 5.2% (R 2 = 0.94) for moisture. For FTIR, the relative RMSECV was 10.4% (R 2 = 0.94) for fat and 3.9% (R 2 = 0.95) for nitrogen. However,for moisture, it was not possible to build a calibration model with suitable predictability. The combination of the NIR and FTIR domains (data fusion) by outer product analysis PLS1 allowed to predict these parameters and to characterize

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

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

2007

Kód důvěrnosti údajů

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

Název periodika

Anal.Chim.Acta

ISSN

0003-2670

e-ISSN

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Svazek periodika

601

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

9

Strana od-do

77-86

Kód UT WoS článku

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EID výsledku v databázi Scopus

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