journal article·2025

Design of an RSM-optimized magnetic–fluorescent nanoprobe utilizing geothermal silica for enhanced bacterial sensing

Falah Azizah Elmaria, Fauzan Aulia, Shaimah Rinda Sari, Sudiyarmanto, Abdi Wira Septama, Yuni Kusumastuti, Himawan Tri Bayu Murti Petrus, Siti Nurul Aisyiyah Jenie

Nanoscale· Volume 17· Issue 47
Publisher page

Abstract

In this study, we synthesized a magnetic fluorescent silica nanocomposite (MFSNc) using a controlled modified sol-gel method for sensitive recognition of Staphylococcus aureus (SA) bacteria. The effects of rhodamine B concentration, Si/Fe ratio, and percentage of cetyltrimethylammonium bromide (CTAB) on the fluorescence intensity, magnetic saturation, and specific surface area, respectively, were statistically optimized using the Box-Behnken Design within the framework of response surface methodology (RSM). This resulted in an optimized value of 5 mg g-1, 0.5 g g-1, and 3% of rhodamine B concentration, Fe/Si ratio, and CTAB, respectively. The RSM-optimized MFSNc generated enhanced intrinsic properties, i.e., a high fluorescence intensity of 566.20 a.u. at 583.97 nm, a magnetic saturation of 16.70 emu g-1, and a specific surface area of 139.45 m2 g-1. The MFSNc sample was further modified with vancomycin and applied as a biosensing platform to detect the presence of SA bacteria. After 25 minutes of incubation time, the fluorescence intensity obtained before and after SA detection was 42.59 a.u and 4.60 a.u., respectively, obtaining a decrease of intensity (%Iloss) of 89.20%. A linear relationship between %Iloss and the SA concentrations from 100 to 108 CFU mL-1 was observed with LOD calculated to be 5.08 CFU mL-1. The sensitivity of the RSM-optimized MFSNc in detecting SA bacteria makes it suitable for applications in clinical diagnostics, food safety, and environmental monitoring.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Carbon and Quantum Dots Applications · Biosensors and Analytical Detection · Advanced biosensing and bioanalysis techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemical Engineering, Faculty of Engineering, Universitas Gadjah Mada, Jalan Grafika No 2, Yogyakarta, 55281, Indonesia

Research Center for Chemistry, National Research and Innovation Agency, -BRIN, Building 452, Kawasan BJ Habibie, Tangerang Selatan, Banten 15314, Indonesia

Research Center for Pharmaceutical Ingredients and Traditional Medicine, National Research and Innovation Agency (BRIN), Kawasan Puspiptek, South Tangerang 15134, Indonesia

Funding

Badan Riset dan Inovasi Nasional · Lembaga Pengelola Dana Pendidikan

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