Mixtures of nanotracers based on manganese and iron oxides for quality control of liquid feeds

Modern strategies in animal nutrition require increasingly sophisticated feed compositions, which, in turn, heighten the importance of achieving consistent blending, especially for juvenile livestock. Nutritionally optimized rations play a critical role in supporting accelerated development and maximizing nutrient utilization. To control the uniformity of mixing of dry feeds, ferromagnetic microtracers based on iron are actively used, which are effective due to their magnetic properties, which allows you to easily detect and control the uniformity of mixing. The limited effectiveness of such tracers in liquid feed applications led to the creation of innovative iron oxide-based magnetic nanomarkers specifically engineered for use in liquid formulations. Ensuring homogeneous mixing of liquid feeds is especially crucial, as it can be influenced by the choice of surfactant. Various emulsifying agents, including dimethylamine oleate and ammonium oleate, influence the dimensions and clustering tendencies of nanoparticles in different manners. Compared to ammonium oleate, DMAOA was shown to promote improved particle dispersion and greater suspension stability – factors essential for preserving feed quality. To measure the manganese content in the magnetic nanoparticles FexMnyOz, researchers employed a modified spectrophotometric method. This allows obtaining accurate data on the composition of nanoparticles, which is important for ensuring the effectiveness of quality control in feed production.

Authors

Institutions

Publication Details

Journal
Ukrainian Metrological Journal
Published
2025-06-30
DOI
https://doi.org/10.24027/2306-7039.2.2025.333861
Primary Topic
Minerals Flotation and Separation Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mixtures of nanotracers based on manganese and iron oxides for quality control of liquid feeds

Т. В. Сахно, А. О. Семенов, Yuriy Sakhno, N. N. Barashkov et al.
Ukrainian Metrological Journal
Minerals Flotation and Separation Techniques
article

Mixtures of nanotracers based on manganese and iron oxides for quality control of liquid feeds

Т. В. Сахно, А. О. Семенов, Yuriy Sakhno, N. N. Barashkov, Valentyna Panchenko
article en

Abstract

Modern strategies in animal nutrition require increasingly sophisticated feed compositions, which, in turn, heighten the importance of achieving consistent blending, especially for juvenile livestock. Nutritionally optimized rations play a critical role in supporting accelerated development and maximizing nutrient utilization. To control the uniformity of mixing of dry feeds, ferromagnetic microtracers based on iron are actively used, which are effective due to their magnetic properties, which allows you to easily detect and control the uniformity of mixing. The limited effectiveness of such tracers in liquid feed applications led to the creation of innovative iron oxide-based magnetic nanomarkers specifically engineered for use in liquid formulations. Ensuring homogeneous mixing of liquid feeds is especially crucial, as it can be influenced by the choice of surfactant. Various emulsifying agents, including dimethylamine oleate and ammonium oleate, influence the dimensions and clustering tendencies of nanoparticles in different manners. Compared to ammonium oleate, DMAOA was shown to promote improved particle dispersion and greater suspension stability – factors essential for preserving feed quality. To measure the manganese content in the magnetic nanoparticles FexMnyOz, researchers employed a modified spectrophotometric method. This allows obtaining accurate data on the composition of nanoparticles, which is important for ensuring the effectiveness of quality control in feed production.

Ukrainian Metrological Journal(2)
Tracer Technologies (United States) (US), Poltava State Agrarian University (UA), University of Delaware (US), V. N. Karazin Kharkiv National University (UA)
Openalex Percentile: Top 85%
Minerals Flotation and Separation Techniques
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.