Near-infrared diffuse reflectance spectroscopy for discriminating fruit and vegetable products preserved in glass containers

Near-infrared (NIR) diffuse reflectance spectroscopy was used in combination with multivariate analytical methods to discriminate between different fruit and vegetable products preserved in glass containers, which are commonly used as receptacles for the pasteurization of fruit and vegetable product...

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Permalink: http://skupnikatalog.nsk.hr/Record/nsk.NSK01001064877/Details
Matična publikacija: Croatian journal of food science and technology (Online)
11 (2019), 1 ; str. 104-112
Glavni autori: Zimmer, Manuel (Author), Schneider, Jan
Vrsta građe: e-članak
Jezik: eng
Predmet:
Online pristup: https://doi.org/10.17508/CJFST.2019.11.1.15
Croatian journal of food science and technology (Online)
Hrčak
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024 7 |2 doi  |a 10.17508/CJFST.2019.11.1.15 
035 |a (HR-ZaNSK)001064877 
040 |a HR-ZaNSK  |b hrv  |c HR-ZaNSK  |e ppiak 
041 0 |a eng  |b eng 
042 |a croatica 
044 |a ci  |c hr 
080 1 |a 664  |2 2011 
100 1 |a Zimmer, Manuel  |4 aut  |9 HR-ZaNSK 
245 1 0 |a Near-infrared diffuse reflectance spectroscopy for discriminating fruit and vegetable products preserved in glass containers  |h [Elektronička građa] /  |c Manuel Zimmer, Jan Schneider. 
300 |b Ilustr. ; graf. prikazi. 
504 |a Bibliografija: str. 111-112. 
504 |a Abstract. 
520 |a Near-infrared (NIR) diffuse reflectance spectroscopy was used in combination with multivariate analytical methods to discriminate between different fruit and vegetable products preserved in glass containers, which are commonly used as receptacles for the pasteurization of fruit and vegetable products. To investigate the samples in this way, i.e. inside the sealed glass containers, is important for this specific application in a food processing facility. In order to adapt digitalization technologies to the pasteurization process, it is necessary to investigate usually consumed products with suitable sensors and data analytics. NIR spectroscopy in combination with multivariate data analysis is a mighty tool to unravel various issues in food research and industry. Thus, this combination is in the focus of this investigation. It is shown for the first time that the discrimination between five types of preserved food in glass containers is possible by using NIR diffuse reflectance spectroscopy and multivariate data analysis (including discrimination methods). The performance parameters sensitivity, specificity, and efficiency, are determined for every product group and analyzed in a misclassification table. On average, the results show that 95 % of ca. 2100 observations are correctly classified with partial least squares discriminant analysis (PLS-DA). 
653 0 |a Konzerviranje hrane  |a Voće i povrće  |a Staklena ambalaža  |a Pasterizacija  |a Digitalna slika  |a Spektroskopija  |a NIR spektroskopija  |a Multivarijantna analiza  |a Sigurnost hrane 
700 1 |a Schneider, Jan  |4 aut  |9 HR-ZaNSK 
773 0 |t Croatian journal of food science and technology (Online)  |x 1848-9923  |g 11 (2019), 1 ; str. 104-112  |w nsk.(HR-ZaNSK)000845088 
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856 4 0 |u https://hrcak.srce.hr/220690  |y Hrčak