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Pregled bibliografske jedinice broj: 992319

Application of NIR spectroscopy in gluten detection as a cross-contaminant in food


Radman, Marija; Jurina, Tamara; Benković, Maja; Jurinjak Tušek, Ana; Valinger, Davor; Gajdoš Kljusurić, Jasenka
Application of NIR spectroscopy in gluten detection as a cross-contaminant in food // Croatian Journal of Food Technology, Biotechnology and Nutrition, 13 (2018), 3-4; 120-127 doi:10.31895/hcptbn.13.3-4.4 (recenziran, članak, znanstveni)


CROSBI ID: 992319 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Application of NIR spectroscopy in gluten detection as a cross-contaminant in food

Autori
Radman, Marija ; Jurina, Tamara ; Benković, Maja ; Jurinjak Tušek, Ana ; Valinger, Davor ; Gajdoš Kljusurić, Jasenka

Izvornik
Croatian Journal of Food Technology, Biotechnology and Nutrition (1847-3423) 13 (2018), 3-4; 120-127

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

Ključne riječi
NIR spectroscopy, cross-contamination, gluten, modelling, prediction

Sažetak
The determination of gluten is of critical importance when food screening is intended for special groups such as food ingredient intolerant and allergic persons. Cross-contamination of food that does not contain gluten is also possible in the sales chain. The aim of this study was to determine the applicability of Near-Infrared Spectroscopy (NIRs) for the detection of gluten traces in rice, rice flour, corn flour and corn grits. In the cross-contamination simulation, two types of wheat flour were used. They were added to rice, rice flour, corn flour and corn grits in a range from 5 % to 30 %. Apart from the spectra of pure and contaminated samples, conductivity and total dissolved solids were monitored to determine changes in the samples. NIR spectroscopy was combined with chemometric techniques to determine at which wavelengths a glutenfree fingerprint can be detected. Although experiments were carried out with a NIR instrument that monitors molecular vibrations in the range of λ= 904-1699 nm, the gluten fingerprint was successfully determined, regardless of the type of flour that was added to the rice, rice flour, corn flour and corn grits. All concentrations of the added flours were successfully determined and models were developed to detect the concentrations of the added flours. Even the conductivity showed good prediction potential in gluten determination. Regardless if the investigated samples were contaminated or not, the determination coefficient R2 was over 0.9. Developed models could be used to predict possible wheat flour contamination of any rice or corn product samples or samples prepared for cooking in water.

Izvorni jezik
Engleski

Znanstvena područja
Prehrambena tehnologija, Nutricionizam



POVEZANOST RADA


Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb

Poveznice na cjeloviti tekst rada:

doi hrcak.srce.hr

Citiraj ovu publikaciju:

Radman, Marija; Jurina, Tamara; Benković, Maja; Jurinjak Tušek, Ana; Valinger, Davor; Gajdoš Kljusurić, Jasenka
Application of NIR spectroscopy in gluten detection as a cross-contaminant in food // Croatian Journal of Food Technology, Biotechnology and Nutrition, 13 (2018), 3-4; 120-127 doi:10.31895/hcptbn.13.3-4.4 (recenziran, članak, znanstveni)
Radman, M., Jurina, T., Benković, M., Jurinjak Tušek, A., Valinger, D. & Gajdoš Kljusurić, J. (2018) Application of NIR spectroscopy in gluten detection as a cross-contaminant in food. Croatian Journal of Food Technology, Biotechnology and Nutrition, 13 (3-4), 120-127 doi:10.31895/hcptbn.13.3-4.4.
@article{article, author = {Radman, Marija and Jurina, Tamara and Benkovi\'{c}, Maja and Jurinjak Tu\v{s}ek, Ana and Valinger, Davor and Gajdo\v{s} Kljusuri\'{c}, Jasenka}, year = {2018}, pages = {120-127}, DOI = {10.31895/hcptbn.13.3-4.4}, keywords = {NIR spectroscopy, cross-contamination, gluten, modelling, prediction}, journal = {Croatian Journal of Food Technology, Biotechnology and Nutrition}, doi = {10.31895/hcptbn.13.3-4.4}, volume = {13}, number = {3-4}, issn = {1847-3423}, title = {Application of NIR spectroscopy in gluten detection as a cross-contaminant in food}, keyword = {NIR spectroscopy, cross-contamination, gluten, modelling, prediction} }
@article{article, author = {Radman, Marija and Jurina, Tamara and Benkovi\'{c}, Maja and Jurinjak Tu\v{s}ek, Ana and Valinger, Davor and Gajdo\v{s} Kljusuri\'{c}, Jasenka}, year = {2018}, pages = {120-127}, DOI = {10.31895/hcptbn.13.3-4.4}, keywords = {NIR spectroscopy, cross-contamination, gluten, modelling, prediction}, journal = {Croatian Journal of Food Technology, Biotechnology and Nutrition}, doi = {10.31895/hcptbn.13.3-4.4}, volume = {13}, number = {3-4}, issn = {1847-3423}, title = {Application of NIR spectroscopy in gluten detection as a cross-contaminant in food}, keyword = {NIR spectroscopy, cross-contamination, gluten, modelling, prediction} }

Uključenost u ostale bibliografske baze podataka::


  • CAB Abstracts
  • FSTA: Food Science and Technology Abstracts


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