Optimizacija metode određivanja željeza u medu atomskom apsorpcijskom spektrometrijom

master's thesis

• Title (english): Method optimization for determination of iron in honey by atomic absorption spectrophotometry
• Author: Valentina Vičić
• Mentor: Jasna Jablan (mentor)
• Committee member: Jasna Jablan (predsjednik povjerenstva)
• Committee member: Živka Juričić (član povjerenstva)
• Committee member: Maja Bival Štefan (član povjerenstva)
• Granter: University of Zagreb; Faculty of Pharmacy and Biochemistry; (Department of analytical chemistry); Zagreb
• Defense date and country: 2021-06-30, Croatia
• Scientific / art field, discipline and subdiscipline: BIOMEDICINE AND HEALTHCARE; Pharmacy; Pharmacy

Abstract

Željezo je jedan od najvažnijih elemenata za ljudski organizam. Njegove biološke uloge u tijelu
čovjeka su mnogobrojne. Sastavni je dio velikog broja proteina, prostetskih skupina i kofaktor
mnogim enzimima. Deficit željeza je najčešći deficit minerala u globalnoj populaciji, a pogađa
posebno osjetljive skupine poput djece, adolescenata i mladih žena. Med je namirnica prirodnog
porijekla bogatih nutritivnih svojstva i poznata po terapeutskim svojstvima. Kompleksni matriks
oligosaharida čini ga zahtjevnim uzorkom za analizu vitamina i minerala. U ovom radu je pomoću
Box-Behnkenovog dizajna optimizirana metoda pripreme uzorka za analizu sadržaja željeza u medu
atomskom apsorpcijskom spektrometrijom. Višestrukom regresijskom analizom dobivena je
kvadratna polinomna jednadžba koja opisuje utjecaj triju odabranih parametra (temperatura, udio
kiseline i vrijeme) na sadržaj željeza u medu. Utvrđeni su optimalni parametri te je provedena analiza
ukupno 21 različitih uzoraka meda. Ispitivanjem validacijskih parametara utvrđeno je da
primijenjena metoda ima zadovoljavajuću linearnost, preciznost i točnost. Nakon analize uzoraka
meda utvrđeno je da su koncentracije željeza u medu u korelaciji s rezultatima iz prethodnih
istraživanja te da nema statistički značajne razlike između meda različitog geografskog porijekla.

Abstract (english)

Iron is one of the most important elements for the human body. Its biological roles in the human
body are numerous. Iron is an integral part of many proteins, prosthetic groups, and a cofactor for
many enzymes. Iron deficiency is the most common mineral deficiency in the global population,
and particularly affects vulnerable groups such as children, adolescents, and young women. Honey
is a food of natural origin with rich nutritional value and known for its therapeutic properties. The
complex matrix of oligosaccharides makes it a challenging sample for vitamin and mineral analysis.
In this work, the method of sample preparation was optimized for the analysis of iron content in
honey by atomic absorption spectrophotometry using Box-Behnken design. Multiple regression
analysis yielded a quadratic polynomial equation describing the influence of three selected
parameters (temperature, acid content and time) on the iron content in honey. Optimal parameters
were determined and a total of 21 different honey samples were analyzed. Validation of the
analytical method showed that the method has satisfactory linearity, precision, and accuracy. After
the analysis of honey samples, it was found that the iron concentrations in honey correlated with the
results of previous studies and there was no statistically significant difference between honeys of
different geographical origin.

• Keywords: željezo; med; atomska apsorpcijska spektrometrija; validacija analitičke metode; Box-Behnken
• Keywords (english): iron; honey; atomic absorption spectrometry; validation of analytical method; Box-Behnken
• Language: croatian
• URN:NBN: urn:nbn:hr:163:322275
• Study programme: Title: Pharmacy; Study programme type: university; Study level: integrated undergraduate and graduate; Academic / professional title: magistar/magistra farmacije (magistar/magistra farmacije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2022-02-04 09:41:49