International Journal of Applied Science and Engineering
Published by Chaoyang University of Technology

Sucuy Bonilla Israel Patricio 1, Meneses Quelal Orlando 1, 2*

1 Dirección de Posgrados. Universidad Politécnica Estatal del Carchi. Tulcán, Ecuador

2 Carrera de Medicina Veterinaria. Universidad Politécnica Estatal del Carchi, Tulcán, Ecuador


 

Download Citation: |
Download PDF


ABSTRACT


The efficient production of feed for broiler chickens faces the challenge of achieving homogenous and stable mixtures, as the lack of uniformity may compromise the nutritional quality and profitability of the final product. In this context, mixing time is a crucial factor influencing both blend homogeneity and moisture content, essential parameters to ensure the feed quality. This study evaluated the effect of five mixing times (60, 90, 120, 180, and 210 s) on uniformity and moisture percentage of the broiler feed using ferromagnetic microtracers and advanced statistical analysis. Homogeneity was assessed using the coefficient of variation (CV) and the Poisson distribution, whereas moisture content was analyzed using non-parametric tests. The results showed that intermediate mixing times (120 and 180 s) resulted in homogeneous mixtures (CV < 10%), in contrast to the shortest and longest durations, which exhibited greater variability. Although the Kruskal–Wallis test revealed significant differences in moisture content across different mixing times, Spearman's correlation suggested no direct, linear relationship between mixing time and moisture. These findings underscore the importance of establishing an optimal mixing duration, particularly in the range of 120 to 180 s, to enhance feed quality, improve process efficiency, and reduce production costs, thereby contributing to the sustainability of the poultry industry.


Keywords: Mixing time, Moisture, Coefficient of variation, Feed, Product quality.


Share this article with your colleagues

 


REFERENCES


  1. Adusei-Bonsu, M., Amanor, I. N., Obeng, G. Y., Mensah, E. 2021. Performance evaluation of mechanical feed mixers using machine parameters, operational parameters and feed characteristics in Ashanti and Brong-Ahafo regions, Ghana. Alexandria Engineering Journal, 60(5), 4905–4918.

  2. Ansuree, P., Sudajan, S., Junsiri, C., Laloon, K. 2021. Effect of mixing speed and time on the homogeneity of multi-particle size sugarcane leaves product in horizontal paddle mixer for pelletized. Bulgarian Journal of Agricultural Science, 27(5), 1009–1019.

  3. Astanakulov, K., Borotov, A., Tursunov, J., Tursunov, S., Suzana Ariffin, A. 2024. Dependence of the uniformity of feed mixing in the feed mixing device of the granulation line on the number of paddle shaft revolutions and mixing time. BIO Web of Conferences, 105.

  4. Bernotas, D. 2012. On the use of particulate distributions for determining degree of homogeneity in a feed mixture. In University of Carolina (Ed.), Micro-Tracers (pp. 1–23).

  5. Bratishko, V., Milko, D., Achkevych, O., Kuzmenko, V. 2020. Results of experimental studies of process of preparation of feed mixtures with their moistening. Engineering for Rural Development, 19, 1398–1403.

  6. Budak, D., Bilgeçli, K. 2024. Moisture optimization and energy saving effects of combined organic acid and surfactant inclusion in pelleted feed production. Turkish Journal of Agriculture - Food Science and Technology, 12(2), 208–213.

  7. Cella, A., Ludke, J.V., Coldebella, A., Ludke, M.C.M.M., Araújo, G.M., Jr, J.M.O., Peripolli, V., Bianchi, I. 2021. Nutritional and quality changes in piglet concentrate affected by the mix. Arquivo Brasileiro de Medicina Veterinaria e Zootecnia, 73(4), 955–965.

  8. Chuah, X.-Y.S. 2021. The Impact of moisture on physical and chemical variables in pelleting processing [North Carolina State University].

  9. Çiftci, İ., Ercan, A. 2003. Effects of diets of different mixing homogeneity on performance and carcass traits of broilers. Journal of Animal and Feed Sciences, 12, 163–171.

  10. Clark, P. M., Behnke, K.C., Poole, D.R. 2007. Effects of Marker Selection and Mix Time on the Coefficient of Variation (Mix Uniformity) of Broiler Feed 1. Poultry Science Association, Inc, 16, 464–470.

  11. Huang, J., Luo, B., Cao, Y., Li, B., Qian, M., Jia, N., Zhao, W. 2022. Fusion of THz-TDS and NIRS Based Detection of Moisture Content for Cattle Feed. Frontiers in Physics, 10, 833278.

  12. Instituto Ecuatoriano de Normalización. 2014. Alimentos para animales. Alimentos balanceados para aves de producción zootécnica. Requisitos.

  13. International Organization for Standardization. (2022). ISO 3951-1:2022: Sampling procedures for inspection by variables — Part 1: Specification for single sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection for a single quality characteristic and a single AQL.

  14. Kiarie, E.G., Mills, A. 2019. Role of feed processing on gut health and function in pigs and poultry: Conundrum of optimal particle size and hydrothermal regimens. Frontiers in Veterinary Science, 6, 19

  15. Knarr, L.E. 2023. Evaluating the Effects of Modifying Mixing and Pelleting Parameters on Feed Quality, Pellet Production Rate, and Broiler Performance [Graduate Theses, Dissertations, and Problem Reports.].

  16. Mansour, W., Melekhin, D., Pasko, A. 2020. Continuous production of multicomponent powder mixtures. MATEC Web of Conferences, 315, 04003.

  17. Micro-Tracers Inc. 2013. Microtracer F. Testing for Completeness of Mix.

  18. Oliveira, L.M.S., Silva, P.G., Silva, M.R.S., Cordeiro, D. A., Souza, L.P., Minafra, C.S., Dos Santos, F.R. 2022. Effect of moisture, particle size and thermal processing of feeds on broiler production. Revista Brasileira de Ciencia Avicola / Brazilian Journal of Poultry Science, 24(4), eRBCA-2020–1391

  19. Poholsky, C.M., Hofstetter, D.W., Khezrimotlagh, D., Boney, J.W. 2021. Effects of pellet quality to on-farm nutrient segregation in commercial broiler houses varying in feed line length. Journal of Applied Poultry Research, 30(2), 100157

  20. Rocha, A.G., Dilkin, P., Montanhini Neto, R., Schaefer, C., Mallmann, C.A. 2022. Growth performance of broiler chickens fed on feeds with varying mixing homogeneity. Veterinary and Animal Science, 17, 100263

  21. Rubio, A.A., Conrad, S., Juzaitis-Boelter, C., Wishon, C.R., Fahrenholz, A.C. 2023. The impact of marker selection, in-line near-infrared spectroscopy (NIR), and feed mix time on the coefficient of variation (mix uniformity), body weight uniformity and broiler growth performance during the starter, grower, and finisher periods. Poultry Science, 102(12), 103109.

  22. Sakhno, T., Pisarenko, P., Korotkova, I., Omelian, O., Barashkov, N. 2018. The application of statistical methods of quality management by GMP + standards using ferromagnetic microtracers. Grain Products and Mixed Fodder’s, 18(3), 39–44.

  23. Sakhno, T., Semenov, A., Barashkov, N. 2020. Assessing the quality of homogenity of pet food using ferromagnetic micro tracers. Grain Products and Mixed Fodder’s, 20(2), 32-37.

  24. Syrovatka, V.I., Zhdanova, N.V., Obukhov, A.D. 2019. An apparatus for improving mixing homogeneity of medicated feeds and premixes. Russian Agricultural Sciences, 45(1), 94–98.

  25. Thiex, N.N., Carlson, M., Kieffer, rober T., Kieffer, a.M., Eisenberg, D.D., Barashkov, N., Ramsey, C. 2019. Evaluation of the use of microtracersTM in a proficiency testing program. Journal of AOAC International, 102(3), 767–775.

  26. Thomas, M., van der Poel, A.F.B. 2020. Fundamental factors in feed manufacturing: Towards a unifying conditioning/pelleting framework. Animal Feed Science and Technology, 268, 114612.

  27. Vakili, R. 2023. The application of taguchi method to optimize pellet quality in Broiler Feeds. Acta Scientiarum - Animal Sciences, 45(1), e58931.

  28. Wecker, H. K., Kort, R.N., Fiehler, C.J., Ogles, A.M., Froetschner, J.R., Stark, C.R., Paulk, C.B. 2020. Moisture Content Throughout the Pelleting Process and Subsequent Effects on Pellet Quality. Kansas Agricultural Experiment Station Research Reports, 6(10).https://doi.org/10.4148/ 2378-5977.8010

  29. Yermukanova, A., Podobed, L., Stankevych, G., Zhiyenbayeva, S., Mrkvicová, E. 2024. Mathematical modelling and optimization of the granulation process of loose compound feed for broilers. Potravinarstvo Slovak Journal of Food Sciences, 18, 20–35.

  30. Zambrano, Y., Contardo, I., Moreno, M. C., Bouchon, P. 2022. Effect of extrusion temperature and feed moisture content on the microstructural properties of rice-flour pellets and their impact on the expanded product. Foods, 11(2), 198. https://doi.org/10.3390/foods11020198

  31. Zentek, J., Goodarzi Boroojeni, F. 2020. (Bio)Technological processing of poultry and pig feed: Impact on the composition, digestibility, anti-nutritional factors and hygiene. Animal Feed Science and Technology, 268, 114576.


ARTICLE INFORMATION


Received: 2025-01-22
Revised: 2025-05-27
Accepted: 2025-11-06
Available Online: 2025-12-12


Cite this article:

Patricio, S.B.I., Meneses, Q.O., 2025. Optimization of mixing time to improve the quality of broiler feed using ferromagnetic microtracers. International Journal of Applied Science and Engineering, 23, 2025014. https://doi.org/10.6703/IJASE.202603_23(1).002

  Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.