Primjena NIR spektroskopije u određivanju aktivnih tvari u tabletiranim dodacima prehrani

master's thesis

• Title (english): Application of NIR spectroscopy for determination of active substances in tableted food supplements
• Author: Anamarija Pavić
• Mentor: Maja Benković (mentor)
• Granter: University of Zagreb; Faculty of Food Technology and Biotechnology; (Department of Process Engineering); (Section for Fundamental Engineering); Zagreb
• Defense date and country: 2019-10-30, Croatia
• Scientific / art field, discipline and subdiscipline: BIOTECHNICAL SCIENCES; Biotechnology

Abstract

Vitamin C (askorbinska kiselina) je u vodi topljivi vitamin važan za održavanje bioloških funkcija u tijelu. Ljudi ga ne mogu sami sintetizirati pa ga je potrebno unositi kao dodatak prehrani. Najrašireniji oblik oralnih dodataka prehrani jest tableta zbog svoje lake primjene i brze apsorpcije. Cilj ovog rada bio je procijeniti sposobnost primjene blisko infracrvene spektroskopije (NIR), kemometrije i umjetnih neuronskih mreža (ANN) za predviđanje ukupnih aktivnih tvari u tabletiranim dodacima prehrani (vitamin C). Uzorci su pripremljeni s različitim koncentracijama laktoze i vitamina C. U radu su se izravnim metodama pratile promjene električne vodljivosti, ukupno otopljenih čvrstih tvari i pH u ovisnosti o koncentraciji laktoze i vitamina C u uzorcima otopina i tabletama. Koncentracija vitamina C određena je spektrofotometrijski pomoću dikromata i permanganata. Osim izravnog mjerenja, korištena je i blisko infracrvena spektroskopija kako bi se utvrdile sličnosti i razlike u uzorcima. Za obradu podataka dobivenih NIR spektroskopijom korištena je analiza glavnih komponenata (PCA analiza) koja je pokazala dobro razdvajanje na temelju koncentracije laktoze i vitamina C. Kako bi se ustanovila povezanost između podataka i koncentracije kreirani su PLS regresijski modeli koji su ustanovili linearnu ovisnost između apsorbancije i koncentracije vitamina C. Primjena ANN također je pokazala visoku pouzdanost i mogućnost primjene za predviđanje točne koncentracije vitamina C u tabletama.

Abstract (english)

Vitamin C (ascorbic acid) is a water-soluble vitamin important for maintaining biological functions in the body. People cannot synthesize vitamin C, so it needs to be intake as a dietary supplement. The most widespread form of oral nutritional supplements is the tablet because of its easy use and rapid absorption. The aim of this paper was to evaluate the applicability of near infrared spectroscopy (NIR), chemometrics and artificial neural networks (ANN) to predict the content of active substances in dietary supplements (vitamin C). Samples were prepared with different concentrations of lactose and vitamin C. In the paper, changes in electrical conductivity, total dissolved solids and pH were monitored by direct methods, depending on the concentration of lactose and vitamin C in the solutions and tablets. Vitamin C concentration was also directly determined spectrophotometrically using dichromate and permanganate. In addition to direct measurement, near-infrared spectroscopy was also used to determine the similarities and differences in the samples. For the processing of the data obtained by NIR spectroscopy, principal component analysis (PCA analysis) was used, which showed good separation based on lactose and vitamin C concentration. To establish a relationship between data and concentration, PLS regression models were developed which established linear dependence between absorbance and concentration of vitamin C. The ANN also proved to be highly precise and reliable for prediction of vitamin C concentrations in tablets.

• Keywords: vitamin C; kemometrija; blisko-infracrvena spektroskopija; umjetne neuronske mreže; tabletiranje
• Keywords (english): vitamin C; chemometrics; near infrared spectroscopy; artificial neural networks; tableting
• Language: croatian
• URN:NBN: urn:nbn:hr:159:780888
• Study programme: Title: Bioprocess Engineering; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka bioprocesnog inženjerstva (magistar/magistra inženjer/inženjerka bioprocesnog inženjerstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2019-12-10 14:51:59