ArticleFoods (Basel, Switzerland)2022
Comparison of an Artificial Neural Network and a Response Surface Model during the Extraction of Selenium-Containing Protein from Selenium-Enriched
Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Optimization of Sugar-Substituted Strawberry Preserve Formulation via Back-Propagation Neural Network.Foods (Basel, Switzerland) · 2026Article
- AI-nanotech synergies: recent advances in sustainable bio-manufacturing.World journal of microbiology & biotechnology · 2026Review
- Artificial Neural Network-Guided Discovery of Antioxidant Peptides from Peony (International journal of molecular sciences · 2026Article
- Synergistic optimization of thawing efficiency and water-holding capacity in chicken breast via magneto-electric coupling: A MISO-based predictive modeling approach.Current research in food science · 2026Article
- Parametric analysis of biodiesel synthesis from palm oil using homogenous base catalyst: experimental and numerical investigation.Scientific reports · 2025Article
- Machine learning-optimized bioprocess for macroidin production by Lysinibacillus macroides and its biomedical applications.Bioprocess and biosystems engineering · 2025Article
- Structural Characterization and Bioactivity Evaluation of Selenium-Modified Dihydromyricetin from Vine Tea.Foods (Basel, Switzerland) · 2025Article
- Article
- Study on the Residence Time and Texture Prediction of Pea Protein Extrusion Based on Image Analysis.Foods (Basel, Switzerland) · 2023Article
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7 authors.
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Abstract
In this study, the extraction conditions for selenium-enriched rape protein (SEP) were optimized by applying a response surface methodology (RSM) and artificial neural network (ANN) model, and then, the optimal conditions were obtained using a genetic algorithm (GA). Then, the antioxidant power of the SEP was examined by using the DPPH, ABTS, and CCK-8 (Cell Counting Kit-8), and its anticancer activities were explored by conducting a cell migration test. The results showed that compared with the RSM model, the ANN model was more accurate with a higher determination coefficient and fewer errors when it was applied to optimize the extraction method. The data obtained for SEP using a GA were as follows: the extraction temperature was 59.4 °C, the extraction time was 3.0 h, the alkaline concentration was 0.24 mol/L, the liquid-to-material ratio was 65.2 mL/g, and the predicted content of protein was 58.04 mg/g. The protein was extracted under the conditions obtained by the GA; the real content of protein was 57.69 mg/g, and the protein yield was 61.71%. Finally, as the concentration of the selenium-containing protein increased, it showed increased ability in scavenging free radicals and was influential in inhibiting the proliferation and migration of HepG2 cells.
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