Editor: Sarah
A recent study presents a novel, eco-friendly method for the biosynthesis of gold nanoparticles (AuNPs) utilizing the cell-free supernatant of Streptomyces flavolimosus. This innovative approach provides a green alternative to traditional chemical synthesis methods, offering an environmentally sustainable and cost-effective pathway for producing AuNPs, which have numerous applications in biomedical fields.
Methodology and Optimization of AuNPs Biosynthesis
The study, published in Scientific Reports, outlines a promising biosynthetic route for AuNPs using Streptomyces flavolimosus, a microorganism known for its diverse secondary metabolites. The researchers optimized the process using a combination of Central Composite Design (CCD) and Artificial Neural Networks (ANN) to maximize the yield of AuNPs. Under optimal conditions—incubation at 35°C, pH 6, a HAuCl4 concentration of 1000 µg/mL, and a four-day incubation period—866.29 µg/mL of AuNPs were synthesized.
The use of artificial intelligence to optimize production was a significant aspect of the study. The ANN model outperformed traditional CCD methods, demonstrating superior precision in predicting yields and enhancing the scalability of the process. This marks an important development in the industrial production of AuNPs, making it both more efficient and sustainable.

Figure 1: UV-Visible Spectral Analysis of AuNPs Biosynthesis
Biomedical Potential of AuNPs: Promising Results for Cancer Therapy
Gold nanoparticles have gained significant attention due to their potential in cancer therapy, drug delivery, and diagnostic applications. In this study, the anticancer potential of the synthesized AuNPs was evaluated through in vitro and in vivo experiments.
- In vitro tests revealed that the AuNPs exhibited potent anticancer activity, with IC50 values of 13.4 µg/mL against MCF-7 breast cancer cells and 13.8 µg/mL against HeLa cervical cancer cells.
- In vivo experiments using mice models bearing Ehrlich ascites carcinoma (EAC) tumors demonstrated a marked reduction in tumor growth, further supporting the therapeutic potential of the biosynthesized AuNPs.
Key Contributions and Findings:
- Eco-friendly Biosynthesis Process: The research introduces a green, biological method for synthesizing gold nanoparticles using the cell-free supernatant of Streptomyces flavolimosus, eliminating the need for toxic chemicals and reducing environmental impact.

Figure 2: Stability Analysis of AuNPs
- Optimized Production via AI: The study demonstrated the successful use of Artificial Neural Networks (ANN) to predict and optimize the biosynthesis of AuNPs, providing a model that can be adapted for large-scale production. This method is expected to revolutionize the way AuNPs are produced for industrial and biomedical applications.
- Biomedical Applications: The synthesized AuNPs showed significant anticancer activity, with promising results in both in vitro and in vivo models. The research suggests that these nanoparticles could serve as effective agents in cancer therapy and may have broader applications in drug delivery, diagnostics, and imaging.

Figure 3: TEM Images and Particle Size Distribution of AuNPs
- Process Optimization Using Statistical Models: The researchers used Central Composite Design (CCD) to determine the optimal conditions for AuNPs biosynthesis. The combination of these statistical techniques with AI offers a new approach to nanoparticle production that can be fine-tuned for various applications.
Looking Ahead: Implications for Future Research and Industry
This study not only highlights the promise of biosynthesized AuNPs in cancer treatment but also paves the way for the development of more sustainable and efficient production processes for nanoparticles. The use of AI in optimizing nanoparticle synthesis represents a significant advancement in the field of green chemistry and nanotechnology. Furthermore, as the demand for safer, more sustainable manufacturing methods grows, this research lays the foundation for future breakthroughs in the production of nanoparticles for industrial and biomedical uses.
Conclusion
This study provides a significant contribution to the field of nanotechnology by offering a sustainable and cost-effective approach to gold nanoparticle synthesis, showcasing their potential for cancer therapy, and illustrating the role of AI in process optimization. As we continue to prioritize environmental sustainability in scientific research, the methods introduced in this study may offer a pathway for safer and more efficient biomedical applications of nanotechnology.
Reference
Reference
El-Ahmady El-Naggar, Noura, et al. “Artificial Neural Network Approach for Prediction of AuNPs Biosynthesis by Streptomyces flavolimosus, Characterization, Antitumor Potency In-Vitro and In-Vivo Against Ehrlich Ascites Carcinoma.” Scientific Reports, vol. 13, no. 12686, 2023.