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Pregled bibliografske jedinice broj: 1277064

Study of the effects of suspension preparation conditions in TXRF analysis of vegetation samples by using design statistical methods


Margui, Eva; Queralt, Ignasi; Jablan, Jasna; Besalu, Emili
Study of the effects of suspension preparation conditions in TXRF analysis of vegetation samples by using design statistical methods // EXRS-2022_Book of Abstracts
Brugge, Belgija, 2022. str. 324-324 (poster, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 1277064 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Study of the effects of suspension preparation conditions in TXRF analysis of vegetation samples by using design statistical methods

Autori
Margui, Eva ; Queralt, Ignasi ; Jablan, Jasna ; Besalu, Emili

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
EXRS-2022_Book of Abstracts / - , 2022, 324-324

Skup
2022 European Conference on X-Ray Spectrometry

Mjesto i datum
Brugge, Belgija, 26.06.2022. - 01.07.2022

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Suspension, TXRF, Taguchi method, Surface Response Method

Sažetak
In many agronomic, environmental and nutritional studies it is of paramount importance to have the information about elemental composition of vegetation samples. In a previous publication we demonstrated the potential of suspension preparation and total reflection X-ray fluorescence (TXRF) as a simple and sustainable approach for multielemental analysis of vegetal foodstuff [1]. Vegetation samples were prepared by suspending 20 mg of the powdered sample in de- ionized water and the subsequent deposition of 10 L of the homogenized suspension on a reflective carrier. Based on the results obtained, the main aim of the present contribution was to get insight to the experimental parameters that mostly affect the precision and accuracy of the results obtained by suspension preparation and TXRF analysis. For that, two different experimental design statistical methods (Taguchi method [2] and Surface Response Method [3]) were tested. The studied variables and ranges were: suspension concentration (10- 50 mg/mL), disperser agent (de-ionized water and 1% Triton X- 100), sonication time (0-10 minutes) and sample deposition volume (5-20 L). In all cases, triplicate experiments were carried out for each variable combination. Obtained results showed that the most relevant parameters in the preparation of the vegetation suspensions were the concentration and the sample deposition volume on the reflective support. For most elements the best preparation conditions were to use medium suspension concentrations and deposition volumes (35 mg/mL and 15 μL), while for light elements such as K better results were obtained using low concentrations and deposition volumes (10 mg/mL and 5 μL). The quality of the results obtained was evaluated by analyzing certified reference materials with a vegetation matrix. Finally, the TXRF method was applied in the determination of some essential elements (Mn, Fe, Cu, Zn) in different medicinal plants and the results were compared with those obtained with other analytical approaches such as digestion and subsequent analysis using ICP-OES and FAAS.

Izvorni jezik
Engleski

Znanstvena područja
Kemija, Farmacija



POVEZANOST RADA


Ustanove:
Farmaceutsko-biokemijski fakultet, Zagreb

Profili:

Avatar Url Jasna Jablan (autor)


Citiraj ovu publikaciju:

Margui, Eva; Queralt, Ignasi; Jablan, Jasna; Besalu, Emili
Study of the effects of suspension preparation conditions in TXRF analysis of vegetation samples by using design statistical methods // EXRS-2022_Book of Abstracts
Brugge, Belgija, 2022. str. 324-324 (poster, međunarodna recenzija, sažetak, znanstveni)
Margui, E., Queralt, I., Jablan, J. & Besalu, E. (2022) Study of the effects of suspension preparation conditions in TXRF analysis of vegetation samples by using design statistical methods. U: EXRS-2022_Book of Abstracts.
@article{article, author = {Margui, Eva and Queralt, Ignasi and Jablan, Jasna and Besalu, Emili}, year = {2022}, pages = {324-324}, keywords = {Suspension, TXRF, Taguchi method, Surface Response Method}, title = {Study of the effects of suspension preparation conditions in TXRF analysis of vegetation samples by using design statistical methods}, keyword = {Suspension, TXRF, Taguchi method, Surface Response Method}, publisherplace = {Brugge, Belgija} }
@article{article, author = {Margui, Eva and Queralt, Ignasi and Jablan, Jasna and Besalu, Emili}, year = {2022}, pages = {324-324}, keywords = {Suspension, TXRF, Taguchi method, Surface Response Method}, title = {Study of the effects of suspension preparation conditions in TXRF analysis of vegetation samples by using design statistical methods}, keyword = {Suspension, TXRF, Taguchi method, Surface Response Method}, publisherplace = {Brugge, Belgija} }




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