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Marine Side Streams in Insect-Based Biorefineries: From Substrate-Insect Matching to Functional Aquafeed Ingredients
Beom-Seok Seo1, Gahyun Kim2, Hyeri Kim2
1Department of Biotechnology, Pukyong National University, Busan 48513, Republic of Korea.
Insect biorefineries can transform marine by-products into valuable aquafeed ingredients. This review explores optimizing these processes for sustainable aquaculture and high-quality insect-derived products.
Area of Science:
- Aquaculture
- Biotechnology
- Sustainable Chemistry
Background:
- Marine by-products are abundant, heterogeneous feedstocks rich in valuable compounds.
- Current utilization of marine residues is limited, posing environmental and economic challenges.
- Insect-mediated bioconversion offers a novel approach to valorize these waste streams.
Purpose of the Study:
- To review insect-mediated bioconversion of marine by-products into functional aquafeed ingredients.
- To analyze substrate-insect matching, process parameters, and product characteristics.
- To explore applications and challenges of marine insect biorefineries.
Main Methods:
- Comparative analysis of marine feedstock classes and industrial insects.
- Evaluation of substrate properties (moisture, salinity, lipids, ash) for insect suitability.
- Review of microbiome-assisted strategies for enhanced bioconversion.
- Assessment of safety, regulatory, and techno-economic factors.
Main Results:
- Marine substrates can be tailored into insect meal, oil, chitin, and hydrolysates.
- Insect-derived products show potential for replacing fishmeal and fish oil in aquafeeds.
- Microbiome strategies improve substrate stability, digestibility, and product quality.
- Optimized biorefineries enhance biomass yield, product quality, and safety.
Conclusions:
- Insect biorefineries present a sustainable strategy for marine by-product valorization.
- Careful substrate-insect matching and process control are crucial for success.
- Further research is needed on safety, regulation, and techno-economic feasibility for scale-up.
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