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ARS Home » Southeast Area » Stoneville, Mississippi » Warmwater Aquaculture Research Unit » Research » Publications at this Location » Publication #436015
Research Project: Umbrella Project for Food Safety

Location: Warmwater Aquaculture Research Unit

Title: Ultrasound-assisted, machine learning-optimized extraction of silver carp viscera fish oil and microencapsulation via complex coacervation

Author
item ZHOU, YONGJIE - China Agricultural University
item GUO, ZIHAN - China Agricultural University
item CHANG, SAM - Mississippi State University
item ZHANG, YAN - Mississippi State University
item HONG, HUI - China Agricultural University
item LUO, YONGKANG - China Agricultural University
item TAN, YUQIN - China Agricultural University

Submitted to: Ultrasonics Sonochemistry
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 6/29/2025
Publication Date: 9/1/2025
Citation: Zhou, Y.J., Guo, Z.H., Chang, S.K., Zhang, Y., Hong, H., Luo, Y.K., Tan, Y.Q. 2025. Ultrasound-assisted, machine learning-optimized extraction of silver carp viscera fish oil and microencapsulation via complex coacervation. Ultrasonics Sonochemistry. https://doi.org/10.1016/j.ultsonch.2025.107452.
DOI: https://doi.org/10.1016/j.ultsonch.2025.107452

Interpretive Summary: Fish processing generates substantial quantities of byproducts that can be converted into value-added ingredients. This study developed an optimized process combining ultrasound-assisted extraction and machine learning techniques to recover oil from silver carp viscera. The extracted fish oil was subsequently stabilized through microencapsulation to improve its storage and handling characteristics. The results demonstrate an effective approach for increasing the utilization of fish processing byproducts while producing high-value ingredients rich in beneficial lipids. Adoption of these technologies could improve sustainability and profitability within the aquatic foods industry. This research supports the Secretary of Agriculture’s priorities of increasing profitability of farmers and creating new uses of U. S. agricultural products.

Technical Abstract: Silver carp viscera represent an underutilized source of valuable lipids that can be recovered and converted into high-value ingredients. This study developed an ultrasound-assisted extraction process optimized through machine learning approaches to maximize fish oil recovery from silver carp viscera. Process variables affecting extraction efficiency were evaluated and predictive models were used to identify optimal operating conditions. Extracted oils were characterized for yield and quality attributes and subsequently microencapsulated using complex coacervation techniques to improve stability and handling properties. Encapsulation efficiency and physicochemical characteristics of the resulting microcapsules were assessed. The optimized extraction and encapsulation processes enhanced oil recovery and product stability, demonstrating a sustainable approach for converting fish processing byproducts into value-added ingredients for food and feed applications.