Interlaboratory exercise for the analysis of carotenoids and related compounds in dried mango fruit (Mangifera indica L.)


Abstract:

An interlaboratory comparison was done for the analysis of carotenoids in freeze-dried mango. The study was performed from July to September 2018. Mango fruit was freeze-dried, homogenized, and packaged under vacuum conditions in portions of 6 g (test sample). Two test samples were sent to the participating laboratories for analysis. Laboratory results were rated using Z-scores in accordance with ISO 13528 and ISO 17043. The standard deviation for proficiency assessment (also called target standard deviation) was determined using a modified Horwitz function and varied between 10% and 25%, depending on the analyte. Out of 14 laboratories from 10 different countries, 9 laboratories (64%) obtained a satisfactory performance (Z ≤ 2) for the analysis of β-carotene. While for 7 laboratories that analyzed α-carotene, (9Z)-β-carotene, β-cryptoxanthin, and zeaxanthin, 4 laboratories (57%) obtained a satisfactory performance. However, only 2 laboratories out of 7 (29%) obtained a satisfactory performance for lutein. Based on the comparability of the analytical results, this study concludes that freeze-dried mango pulp can be used as a reference material for the analysis of α and β-carotene, (9Z)-β-carotene, β-cryptoxanthin, and zeaxanthin by applying different analytical procedures for their extraction and quantification.

Año de publicación:

2022

Keywords:

  • Lipophilic compounds
  • quality assurance
  • Liquid chromatography
  • Isomers
  • reference material
  • Interlaboratory analysis

Fuente:

googlegoogle
scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Botánica
  • Ciencia de los alimentos

Áreas temáticas de Dewey:

  • Tecnología alimentaria
  • Microorganismos, hongos y algas
  • Bioquímica
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 2: Hambre cero
  • ODS 12: Producción y consumo responsables
  • ODS 17: Alianzas para lograr los objetivos
Procesado con IAProcesado con IA