Among the methods for confirming the natural origin of flavor compounds, δ13C measurements using IRMS technique are becoming increasingly important. EA-IRMS measures can suffer from errors caused by the volatility of the analyzed compounds and the consequent isotope fractionation. This work suggests a method involving the adsorption of volatile molecules in zeolite before the EA-IRMS analysis, minimizing the possible error due to the volatility of the structures analyzed. The stabilizing effect on any fractionation was proven during the analysis of various molecules which cover a wide range of volatility. The work demonstrates that, by operating with the advised method, the repeatability of EA-IRMS data is very high not only for samples prepared before analysis, but also for samples prepared in a time span of up to 6 h. The proposed method facilitates serial preparation and prevents erroneous results due to the natural volatility of the molecules under evaluation.

Zeolite reduces losses and minimizes fractionation of various flavor compounds during EA-IRMS analysis / M. Bononi, F.F. Nocito, F. Tateo. - In: FOOD CHEMISTRY. - ISSN 0308-8146. - 380:(2022 Jun 30), pp. 132172.1-132172.3. [10.1016/j.foodchem.2022.132172]

Zeolite reduces losses and minimizes fractionation of various flavor compounds during EA-IRMS analysis

M. Bononi
Primo
;
F.F. Nocito
Secondo
;
F. Tateo
Ultimo
2022

Abstract

Among the methods for confirming the natural origin of flavor compounds, δ13C measurements using IRMS technique are becoming increasingly important. EA-IRMS measures can suffer from errors caused by the volatility of the analyzed compounds and the consequent isotope fractionation. This work suggests a method involving the adsorption of volatile molecules in zeolite before the EA-IRMS analysis, minimizing the possible error due to the volatility of the structures analyzed. The stabilizing effect on any fractionation was proven during the analysis of various molecules which cover a wide range of volatility. The work demonstrates that, by operating with the advised method, the repeatability of EA-IRMS data is very high not only for samples prepared before analysis, but also for samples prepared in a time span of up to 6 h. The proposed method facilitates serial preparation and prevents erroneous results due to the natural volatility of the molecules under evaluation.
EA-IRMS; δ13C; Zeolite; Flavor compounds
Settore AGR/15 - Scienze e Tecnologie Alimentari
Settore AGR/13 - Chimica Agraria
30-giu-2022
19-gen-2022
Article (author)
File in questo prodotto:
File Dimensione Formato  
Bononi et al_Food Chemistry_2022.pdf

Open Access dal 01/07/2023

Descrizione: Post-print con tabelle e grafici integrati
Tipologia: Post-print, accepted manuscript ecc. (versione accettata dall'editore)
Dimensione 371.8 kB
Formato Adobe PDF
371.8 kB Adobe PDF Visualizza/Apri
1-s2.0-S0308814622001339-main.pdf

accesso riservato

Tipologia: Publisher's version/PDF
Dimensione 541.37 kB
Formato Adobe PDF
541.37 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/910859
Citazioni
  • ???jsp.display-item.citation.pmc??? 2
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 4
social impact