Optimizacija metode za određivanje cinka u uzorcima meda pomoću atomske apsorpcijske spektrofotometrije

master's thesis

• Title (english): Optimization of the method for determination of zinc in honey samples using atomic absorption spectrophotometry
• Author: Bernarda Šimunić
• 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: 2021-05-25, Croatia
• Scientific / art field, discipline and subdiscipline: BIOMEDICINE AND HEALTHCARE; Pharmacy; Pharmacy

Abstract

Med se zbog svoje vrlo visoke energetske vrijednosti oduvijek koristio kao hrana, a zbog svojih antioksidativnih i protuupalnih svojstava koristio se za liječenje bolesti. Dobar je izvor raznih minerala, uključujući i cink. Cink je mikroelement koji ima ključnu ulogu u mnogim biokemijskim i fiziološkim funkcijama organizma na molekularnoj i staničnoj razini te je odgovoran za pravilno funkcioniranje čitavog organizma.
Metoda atomske apsorpcijske spektrofotometrije koristi se za kvalitativno i kvantitativno određivanje više od 70 elemenata među kojima je i cink. Ova metoda može detektirati vrlo niske koncentracije metala, a također je vrlo brza i cjenovno prihvatljiva metoda.
Korištenjem Box – Behnkenovog dizajna utvrđeni su optimalni uvjeti pripreme uzoraka meda za određivanje koncentracije metala metodom AAS – smjesa otapala 2400 μL 70% HClO4 i 3600 μL koncentrirane HNO3, soniciranje 15 minuta na sobnoj temperaturi (20 °C). Prihvatljivost optimirane metode za određivanje cinka u ispitivanim uzorcima meda potvrđena je ispitivanjem parametara validacije kao što su linearnost, preciznost, točnost, LOD i LOQ.
Koncentracije cinka izmjerene u uzorcima kreću se u intervalu između 2,433 i 12,841 mg/L, a prosječna izmjerena koncentracija cinka iznosi 5,391 mg/L. Provedena mjerenja pokazuju veću koncentraciju cinka u uzorcima meda iz industrijske proizvodnje.

Abstract (english)

Honey has always been used as a food due to its very high energy values, and it is used to treat diseases because of its antioxidant and anti-inflammatory properties. It is a good source of several minerals, including zinc. Zinc is a microelement that plays a key role in many biochemical and physiological functions of the organism at the molecular and cellular levels, and is responsible for the proper functioning of the entire organism.
The method of atomic absorption spectrophotometry is used for qualitative and quantitative determination of more than 70 elements, including zinc. This method can detect very low concentrations of metals and is also a very fast and inexpensive method.
Using the Box - Behnken design, the optimum conditions for the preparation of honey samples for the determination of metal concentration were determined by the AAS method - solvent mixture containing 2400 μL of 70% HClO4 and 3600 μL of concentrated HNO3, sonication for 15 minutes at room temperature (20 ° C). The acceptability of the optimized method for the determination of zinc in the studied honey samples was confirmed by studying the validation parameters such as linearity, precision, accuracy, LOD and LOQ.
The zinc concentrations measured in the samples range from 2.433 to 12.841 mg / L, and the average zinc concentration measured is 5.391 mg / L.
The measurements show a higher concentration of zinc in samples of honey from industrial production.

• Keywords: cink; med; atomska apsorpcijaska spektrofotometrija; Box-Behnken; validacija analitičke metode
• Keywords (english): zinc; honey; atomic absorption spectrophotometry; Box-Behnken; analytical method validation
• Language: croatian
• URN:NBN: urn:nbn:hr:163:284466
• 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: 2022-02-03 13:40:24