Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Rapid prediction of chemical composition and degree of starch cook of multi-species aquafeeds by near infrared spectroscopy

Nicholas Bourne; David Blyth; Cedric Simon

Journal of Near Infrared Spectroscopy · 2021

Read source ↗ All evidence

Summary

Ensuring aquafeeds meet the expected nutritional and physical specifications for a species is paramount in research and for the industry. This study aimed to examine the feasibility of predicting the proximate composition and starch gelatinisation (or cook) of aquaculture feeds (aquafeeds) regardless of their intended target species by near infrared (NIR) spectroscopy. Aquafeed samples used for nutrition experiments on various aquatic species with different nutritional requirements, as well as aquafeeds manufactured under varying extrusion conditions and steaming time to generate variable starch cook were used in this study. The various size pellets were ground before scanning by NIR spectroscopy, then models were developed to estimate dry matter, ash, total lipid, crude protein, and gros

Source type
Peer-reviewed study
DOI
10.1177/0967033521999116
Catalogue ID
NRmo9rin9c-0u0
Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.