Growth and Haematological Effects of Gluten-Free Cake Flour Blends in Wistar Rats

Addressing the growing demand for safe and nutritious gluten-free diets using flour blend formulations, thisstudy evaluated growth and haematological responses in Wistar albino rats. Over a 13-day experimentalperiod, six groups of rats (n = 5 per group) received different dietary treatments. Growth metrics—includingweight gain, feed intake, and food efficiency ratio (FER)—as well as haematological indices were analyzed.Group II exhibited the highest weight gain (150 g to 220 g), attributed to optimized nutrient utilization,while Groups I and V showed minimal growth, likely due to suboptimal formulations. Formulations suchas EEE and BBB resulted in significantly higher mean weight gains of 42.67 ± 2.31 g and 41.33 ± 1.16 g,respectively, compared to other groups (p < 0.05, ANOVA), and had favorable FERs of 0.34 ± 0.04 and 0.38 ±0.00. Haematological parameters—including packed cell volume (PCV), haemoglobin concentration (Hb), redblood cell count (RBC), and white blood cell count (WBC)—remained within normal physiological ranges.Notably, formulation EEE demonstrated a mild immune-stimulatory effect, as indicated by an elevated WBCcount of 16.10 ± 2.55 × 10³/mm³, which was statistically higher than in other groups (p < 0.05). The studyunderscores the potential of tailored gluten-free formulations to support growth and metabolic health withoutcompromising immune functionality. To optimize outcomes, future research should prioritize nutrient-denseflour combinations, such as sorghum–soy–tiger nut or millet–amaranth–pumpkin seed blends, and adoptlonger experimental durations to assess sustained physiological effects and safety.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-04
DOI
https://doi.org/10.5281/zenodo.15808933
Primary Topic
Food composition and properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Growth and Haematological Effects of Gluten-Free Cake Flour Blends in Wistar Rats

Zenodo (CERN European Organization for Nuclear Research)
Food composition and properties
article

Growth and Haematological Effects of Gluten-Free Cake Flour Blends in Wistar Rats

article en

Abstract

Addressing the growing demand for safe and nutritious gluten-free diets using flour blend formulations, thisstudy evaluated growth and haematological responses in Wistar albino rats. Over a 13-day experimentalperiod, six groups of rats (n = 5 per group) received different dietary treatments. Growth metrics—includingweight gain, feed intake, and food efficiency ratio (FER)—as well as haematological indices were analyzed.Group II exhibited the highest weight gain (150 g to 220 g), attributed to optimized nutrient utilization,while Groups I and V showed minimal growth, likely due to suboptimal formulations. Formulations suchas EEE and BBB resulted in significantly higher mean weight gains of 42.67 ± 2.31 g and 41.33 ± 1.16 g,respectively, compared to other groups (p < 0.05, ANOVA), and had favorable FERs of 0.34 ± 0.04 and 0.38 ±0.00. Haematological parameters—including packed cell volume (PCV), haemoglobin concentration (Hb), redblood cell count (RBC), and white blood cell count (WBC)—remained within normal physiological ranges.Notably, formulation EEE demonstrated a mild immune-stimulatory effect, as indicated by an elevated WBCcount of 16.10 ± 2.55 × 10³/mm³, which was statistically higher than in other groups (p < 0.05). The studyunderscores the potential of tailored gluten-free formulations to support growth and metabolic health withoutcompromising immune functionality. To optimize outcomes, future research should prioritize nutrient-denseflour combinations, such as sorghum–soy–tiger nut or millet–amaranth–pumpkin seed blends, and adoptlonger experimental durations to assess sustained physiological effects and safety.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 49%
Food composition and properties
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.