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Title:Razvoj platforme na osnovi tankoplastne kromatografije za detekcijo fenolnih spojin v kompleksnih matricah vzorcev hrane in rastlinskih ekstraktov : magistrsko delo
Authors:ID Bensa, Maja (Author)
ID Kristl, Janja (Mentor) More about this mentor... New window
ID Glavnik, Vesna (Comentor)
Files:.pdf MAG_Bensa_Maja_2022.pdf (5,44 MB, This file will be accessible after 22.09.2028)
MD5: B093F414886C911A8DFF33CCDA36E93A
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FKBV - Faculty of Agriculture and Life Sciences
Abstract:Z uporabo denzitometrije in analize slik je bila razvita platforma na osnovi tankoplastne kromatografije za detekcijo 93 fenolnih spojin s sedmimi detekcijskimi reagenti na treh stacionarnih fazah (HPTLC: silikagel, silikagel F254 in celuloza). Platformo sestavljata: baza slik, dokumentiranih pri vidni svetlobi, 254 nm in 366 nm, in baza absorpcijskih spektrov (190–800 nm) spojin. Slike in spektri so bili posneti pred derivatizacijo in po derivatizaciji z vsemi sedmimi detekcijskimi reagenti. Platforma omogoča večdimenzionalno primerjavo in s tem odpira veliko možnosti za načrtovanje študij in podporo pri kemijskih analizah. Primerjamo lahko več faktorjev, ki vključujejo: stacionarne faze, svetlobo za detekcijo (pri dokumentaciji), absorpcijske spektre z maksimumi, derivatizacijske reagente, skupine in podskupine fenolnih spojin, posamezne fenolne spojine itd. Uporabni potencial platforme je predvsem v načrtovanju analiz fenolnih spojin (izbor optimalnih pogojev detekcije) v vzorcih s kompleksnimi matricami, kot so vzorci hrane in rastlinski ekstrakti. Platforma je bila uporabljena za izbor optimalnih pogojev detekcije pri kvantitativnih analizah resveratrola v 20 prehranskih dopolnilih. Analize, izvedene z metodo na osnovi tankoplastne kromatografije visoke ločljivosti v povezavi z denzitometrijo, so pokazale, da se pri kar 95 % izdelkov določene vsebnosti ne ujemajo z deklariranimi vsebnostmi in da so pri 55 % izdelkov določene vsebnosti večje od deklariranih. Pri 25 % izdelkov so določene vsebnosti na enoto presegale predpisano najvišjo dovoljeno raven za prehranska dopolnila s trans-resveratrolom (150 mg/dan). Preverjena je bila skladnost označb 22 prehranskih dopolnil z regulatornimi zahtevami za označevanje hrane in prehranskih dopolnil. Večina označb je vsebovala potrebne informacije, a so bile prisotne tudi številne napake.
Keywords:HPTLC, fenolne spojine, detekcijski reagenti, prehranska dopolnila, označevanje živil
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[M. Bensa]
Year of publishing:2022
Number of pages:XIII, 93 str., [2] f. pril.
PID:20.500.12556/DKUM-82582 New window
UDC:547.56:543:608.34:664(043)
COBISS.SI-ID:124960259 New window
Publication date in DKUM:10.10.2022
Views:763
Downloads:0
Metadata:XML DC-XML DC-RDF
Categories:FKBV
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:25.08.2022

Secondary language

Language:English
Title:Development of a Thin-Layer Chromatographic Platform for the Detection of Phenolic Compounds in Complex Matrices of Food Samples and Plant Extracts
Abstract:A thin-layer chromatographic platform for the detection of 93 phenolic compounds with seven detection reagents on three stationary phases (HPTLC: silica gel, silica gel F254 and cellulose) was developed using densitometry and image analysis. The platform consists of a database of images documented at white light, 254 nm and 366 nm and a database of absorption spectra (190–800 nm). Images and absorption spectra were collected before and after derivatization with all seven detection reagents. The platform enables a multidimensional comparison offering many possibilities for designing experiments, analysis support and support of analytical research. Several factors that can be compared include: stationary phases; detection light for documentation; absorption spectra with maxima; derivatization reagents; groups and subgroups of phenolic compounds; individual phenolic compounds; etc. The platform can be used in planning of analyses of phenolic compounds in complex matrix samples (food and plant extracts). The platform was used to select the optimal detection conditions for quantitative analyses of resveratrol in 20 food supplements. Analyses performed using a method based on high-performance thin-layer chromatography coupled with densitometry showed that 95% of products had contents different from what was declared and 55% of products contained higher contents than declared. In 25% of the products the determined content per unit exceeded the maximum level stated in conditions under which a food supplement with trans-resveratrol may be used (150 mg/day). Compliance of food labelling with regulatory requirements was examined on labels of 22 food supplements. Most labels contained the necessary information, but multiple errors were observed.
Keywords:HPTLC, phenolic compounds, detection reagents, food supplements, food labeling


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