Supporting a generic Nitrogen-to-protein Conversion Factor (NCF) of 5.0 for algae species in international standards in absence of scientifically established specific values

Algae products have the potential to partially fulfill the growing demand for non-animal protein sources, and the volume of algae products used in food and feed applications is rising. Accurate determination of the protein content in algae is important to assess their nutritional value, ensure compliance, and facilitate harmonized trade. The most implemented method is based on the determination of nitrogen followed by its conversion into protein through a Nitrogen-to-protein Conversion Factor (NCF). In this paper, we extend the meta-analysis published by Angell in 2016 with data from six other studies to reach a dataset of 174 entries. This extended dataset confirms the high variability observed for NCFs in algae and supports the use of a generic NCF of 5.0 for algae species in international standards in absence of scientifically established values for a given species and growth conditions. • Meta-analysis of 174 data entries on nitrogen-to-protein conversion factors in algae. • Confirms wide variability between species and growth conditions. • Demonstrates that generic NCF of 6.25 significantly overestimates protein content in algae. • Recommends a generic NCG of 5.0 for algae in absence of species-specific data. • Supports harmonization of international standards for algae-based products.

Authors

Institutions

Publication Details

Journal
Journal of Food Composition and Analysis
Published
2026-03-12
DOI
https://doi.org/10.1016/j.jfca.2026.109066
Primary Topic
Marine Bivalve and Aquaculture Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Supporting a generic Nitrogen-to-protein Conversion Factor (NCF) of 5.0 for algae species in international standards in absence of scientifically established specific values

Ronan Pierre, CARLOS AUGUSTO R. CARDOSO, Jeremy Brebion, Ilco Boogers et al.
Journal of Food Composition and Analysis
Marine Bivalve and Aquaculture Studies
article

Supporting a generic Nitrogen-to-protein Conversion Factor (NCF) of 5.0 for algae species in international standards in absence of scientifically established specific values

Ronan Pierre, CARLOS AUGUSTO R. CARDOSO, Jeremy Brebion, Ilco Boogers, Claude Yéprémian, Aurélie Préchoux, Christophe Fuerer, A. Moreira, Silvio Mangini, Graziella Chini Zittelli, Franck Hennequart
article en

Abstract

Algae products have the potential to partially fulfill the growing demand for non-animal protein sources, and the volume of algae products used in food and feed applications is rising. Accurate determination of the protein content in algae is important to assess their nutritional value, ensure compliance, and facilitate harmonized trade. The most implemented method is based on the determination of nitrogen followed by its conversion into protein through a Nitrogen-to-protein Conversion Factor (NCF). In this paper, we extend the meta-analysis published by Angell in 2016 with data from six other studies to reach a dataset of 174 entries. This extended dataset confirms the high variability observed for NCFs in algae and supports the use of a generic NCF of 5.0 for algae species in international standards in absence of scientifically established values for a given species and growth conditions. • Meta-analysis of 174 data entries on nitrogen-to-protein conversion factors in algae. • Confirms wide variability between species and growth conditions. • Demonstrates that generic NCF of 6.25 significantly overestimates protein content in algae. • Recommends a generic NCG of 5.0 for algae in absence of species-specific data. • Supports harmonization of international standards for algae-based products.

Journal of Food Composition and AnalysisVol. 153
Centre National de la Recherche Scientifique (FR), Portuguese Sea and Atmosphere Institute (PT), Nestlé (Switzerland) (CH), University of Ghardaia (DZ), The Ark (IE), Muséum national d'Histoire naturelle (FR), Consorzio Milano Ricerche (IT), Centre d’Étude et de Valorisation des Algues (FR), Structure et Instabilité des Génomes (FR), University of Aveiro (PT)
Openalex Percentile: Top 37%
Marine Bivalve and Aquaculture Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.