Process optimization for gold nanoparticles biosynthesis by Streptomyces albogriseolus using artificial neural network, characterization and antitumor activities
Abstract Gold nanoparticles (GNPs) are highly promising in cancer therapy, wound healing, drug delivery, biosensing, and biomedical imaging. Furthermore, GNPs have anti-inflammatory, anti-angiogenic, antioxidants, anti-proliferative and anti-diabetic effects. The present study presents an eco-friend...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-02-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-54698-2 |
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| author | Noura El-Ahmady El-Naggar Asmaa A. El-Sawah Mohamed F. Elmansy Omar T. Elmessiry Mohanad E. El-Saidy Mostafa K. El-Sherbeny Mohamed T. Sarhan Aya Amin Elhefnawy Shimaa R. Dalal |
| author_facet | Noura El-Ahmady El-Naggar Asmaa A. El-Sawah Mohamed F. Elmansy Omar T. Elmessiry Mohanad E. El-Saidy Mostafa K. El-Sherbeny Mohamed T. Sarhan Aya Amin Elhefnawy Shimaa R. Dalal |
| author_sort | Noura El-Ahmady El-Naggar |
| collection | DOAJ |
| description | Abstract Gold nanoparticles (GNPs) are highly promising in cancer therapy, wound healing, drug delivery, biosensing, and biomedical imaging. Furthermore, GNPs have anti-inflammatory, anti-angiogenic, antioxidants, anti-proliferative and anti-diabetic effects. The present study presents an eco-friendly approach for GNPs biosynthesis using the cell-free supernatant of Streptomyces albogriseolus as a reducing and stabilizing agent. The biosynthesized GNPs have a maximum absorption peak at 540 nm. The TEM images showed that GNPs ranged in size from 5.42 to 13.34 nm and had a spherical shape. GNPs have a negatively charged surface with a Zeta potential of − 24.8 mV. FTIR analysis identified several functional groups including C–H, –OH, C–N, amines and amide groups. The crystalline structure of GNPs was verified by X-ray diffraction and the well-defined and distinct diffraction rings observed by the selected area electron diffraction analysis. To optimize the biosynthesis of GNPs using the cell-free supernatant of S. albogriseolus, 30 experimental runs were conducted using central composite design (CCD). The artificial neural network (ANN) was employed to analyze, validate, and predict GNPs biosynthesis compared to CCD. The maximum experimental yield of GNPs (778.74 μg/mL) was obtained with a cell-free supernatant concentration of 70%, a HAuCl4 concentration of 800 μg/mL, an initial pH of 7, and a 96-h incubation time. The theoretically predicted yields of GNPs by CCD and ANN were 809.89 and 777.32 μg/mL, respectively, which indicates that ANN has stronger prediction potential compared to the CCD. The anticancer activity of GNPs was compared to that of doxorubicin (Dox) in vitro against the HeP-G2 human cancer cell line. The IC50 values of Dox and GNPs-based treatments were 7.26 ± 0.4 and 22.13 ± 1.3 µg/mL, respectively. Interestingly, treatments combining Dox and GNPs together showed an IC50 value of 3.52 ± 0.1 µg/mL, indicating that they targeted cancer cells more efficiently. |
| first_indexed | 2024-03-07T15:01:15Z |
| format | Article |
| id | doaj.art-4b9b710cdb3e4747803e0d6f26542027 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-07T15:01:15Z |
| publishDate | 2024-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-4b9b710cdb3e4747803e0d6f265420272024-03-05T19:08:12ZengNature PortfolioScientific Reports2045-23222024-02-0114112210.1038/s41598-024-54698-2Process optimization for gold nanoparticles biosynthesis by Streptomyces albogriseolus using artificial neural network, characterization and antitumor activitiesNoura El-Ahmady El-Naggar0Asmaa A. El-Sawah1Mohamed F. Elmansy2Omar T. Elmessiry3Mohanad E. El-Saidy4Mostafa K. El-Sherbeny5Mohamed T. Sarhan6Aya Amin Elhefnawy7Shimaa R. Dalal8Department of Bioprocess Development, Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications (SRTA-City)Botany Department, Faculty of Science, Mansoura UniversityBiotechnology and its Application Program, Department of Botany, Faculty of Science, Mansoura UniversityBiotechnology and its Application Program, Department of Botany, Faculty of Science, Mansoura UniversityBiotechnology and its Application Program, Department of Botany, Faculty of Science, Mansoura UniversityBiotechnology and its Application Program, Department of Botany, Faculty of Science, Mansoura UniversityBiotechnology and its Application Program, Department of Botany, Faculty of Science, Mansoura UniversityBiotechnology and its Application Program, Department of Botany, Faculty of Science, Mansoura UniversityBotany Department, Faculty of Science, Mansoura UniversityAbstract Gold nanoparticles (GNPs) are highly promising in cancer therapy, wound healing, drug delivery, biosensing, and biomedical imaging. Furthermore, GNPs have anti-inflammatory, anti-angiogenic, antioxidants, anti-proliferative and anti-diabetic effects. The present study presents an eco-friendly approach for GNPs biosynthesis using the cell-free supernatant of Streptomyces albogriseolus as a reducing and stabilizing agent. The biosynthesized GNPs have a maximum absorption peak at 540 nm. The TEM images showed that GNPs ranged in size from 5.42 to 13.34 nm and had a spherical shape. GNPs have a negatively charged surface with a Zeta potential of − 24.8 mV. FTIR analysis identified several functional groups including C–H, –OH, C–N, amines and amide groups. The crystalline structure of GNPs was verified by X-ray diffraction and the well-defined and distinct diffraction rings observed by the selected area electron diffraction analysis. To optimize the biosynthesis of GNPs using the cell-free supernatant of S. albogriseolus, 30 experimental runs were conducted using central composite design (CCD). The artificial neural network (ANN) was employed to analyze, validate, and predict GNPs biosynthesis compared to CCD. The maximum experimental yield of GNPs (778.74 μg/mL) was obtained with a cell-free supernatant concentration of 70%, a HAuCl4 concentration of 800 μg/mL, an initial pH of 7, and a 96-h incubation time. The theoretically predicted yields of GNPs by CCD and ANN were 809.89 and 777.32 μg/mL, respectively, which indicates that ANN has stronger prediction potential compared to the CCD. The anticancer activity of GNPs was compared to that of doxorubicin (Dox) in vitro against the HeP-G2 human cancer cell line. The IC50 values of Dox and GNPs-based treatments were 7.26 ± 0.4 and 22.13 ± 1.3 µg/mL, respectively. Interestingly, treatments combining Dox and GNPs together showed an IC50 value of 3.52 ± 0.1 µg/mL, indicating that they targeted cancer cells more efficiently.https://doi.org/10.1038/s41598-024-54698-2GNPsStreptomyces albogriseolusBiosynthesisCharacterizationProcess optimizationCentral composite design |
| spellingShingle | Noura El-Ahmady El-Naggar Asmaa A. El-Sawah Mohamed F. Elmansy Omar T. Elmessiry Mohanad E. El-Saidy Mostafa K. El-Sherbeny Mohamed T. Sarhan Aya Amin Elhefnawy Shimaa R. Dalal Process optimization for gold nanoparticles biosynthesis by Streptomyces albogriseolus using artificial neural network, characterization and antitumor activities Scientific Reports GNPs Streptomyces albogriseolus Biosynthesis Characterization Process optimization Central composite design |
| title | Process optimization for gold nanoparticles biosynthesis by Streptomyces albogriseolus using artificial neural network, characterization and antitumor activities |
| title_full | Process optimization for gold nanoparticles biosynthesis by Streptomyces albogriseolus using artificial neural network, characterization and antitumor activities |
| title_fullStr | Process optimization for gold nanoparticles biosynthesis by Streptomyces albogriseolus using artificial neural network, characterization and antitumor activities |
| title_full_unstemmed | Process optimization for gold nanoparticles biosynthesis by Streptomyces albogriseolus using artificial neural network, characterization and antitumor activities |
| title_short | Process optimization for gold nanoparticles biosynthesis by Streptomyces albogriseolus using artificial neural network, characterization and antitumor activities |
| title_sort | process optimization for gold nanoparticles biosynthesis by streptomyces albogriseolus using artificial neural network characterization and antitumor activities |
| topic | GNPs Streptomyces albogriseolus Biosynthesis Characterization Process optimization Central composite design |
| url | https://doi.org/10.1038/s41598-024-54698-2 |
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