Share:
Peer-Reviewed Publication
Vet Anim Sci2026;34100752.December 1, 2026Journal Article

Evaluation of dietary curcumin-loaded mesoporous silica nanoparticles on growth, blood biochemistry, gut barrier integrity and enteric gas emissions in weaned piglets.

Sungyeon Chin1, Yunhui Min2, Mohammad Moniruzzaman1, Yunji Heo3, Md Meraj Ansari3, Godagama Gamaarachchige Dinesh Suminda2, Chang-Gi Hur4, Kwang-Seob Shin5, Young-Ok Son2,3, Taesun Min1
1Department of Animal Biotechnology, Jeju International Animal Research Center (JIA), Sustainable Agriculture, Research Institute (SARI), Jeju National University, Jeju 63243, Republic of Korea.
2Interdisciplinary Graduate Program in Advanced Convergence Technology and Science, Jeju National University, Jeju-si, 63243, Republic of Korea.
3Department of Animal Biotechnology, Faculty of Biotechnology, College of Applied Life Sciences, Jeju National University, Jeju-si, 63243, Republic of Korea.
4Saint One Ltd. Building C, 113, Gwangsung-ro, Aewol-eup, Jeju-si, Jeju Special Self-Governing Province, 63309, Republic of Korea.
5Livestock and Life Sciences Research Institute, Jeju-si, 63242, Republic of Korea.

Abstract

Weaning stress often impairs growth, metabolic function, gut barrier integrity, and microbial balance in piglets, underscoring the need for effective nutritional interventions to enhance post-weaning health. This study evaluated the effects of dietary curcumin-loaded mesoporous silica nanoparticles (SL@Cur) on growth performance, serum biochemical profiles, antioxidant capacity, gut epithelial int…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.