Exploiting silver ions’ antimicrobial properties for colorimetric detection of Salmonella via suppressed formation of Au@Ag nanorods
Salmonella typhimurium, a leading cause of global foodborne illness, demands rapid, on-site detection to combat its widespread contamination in food supplies-where delayed diagnosis contributes to thousands of annual fatalities. Here, we present a novel colorimetric biosensing platform that exploits the intrinsic antimicrobial properties of silver ions (Ag<sup>+</sup>) to enable instrument-free, visual quantification of Salmonella typhimurium. The sensor relies on the controlled growth of gold@silver core-shell nanorods (Au@AgNRs), whose localized surface plasmon resonance (LSPR) peak undergoes a vivid, concentration-dependent color shift as silver shell deposition modulates their aspect ratio. In the absence of bacteria, Ag<sup>+</sup> ions are reduced by ascorbic acid (AA) and uniformly coat AuNRs, inducing a blue shift. However, when Salmonella typhimurium is present, bacterial cells sequester Ag<sup>+</sup> through interactions with surface biomolecules, inhibiting complete shell formation and resulting in a measurable red shift in the LSPR peak accompanied by visually discernible color transitions from red to magenta, purple, violet, dark blue, and teal. The system achieves a linear dynamic range of 18.75 × 10<sup>6</sup> to 112.5 × 10<sup>6</sup> CFU mL<sup>-1</sup> and a limit of detection (LOD) of 2.0 × 10<sup>6</sup> CFU mL<sup>-1</sup>. Prior to detection, target bacteria are isolated from complex matrices using anti-Salmonella aptamer-conjugated magnetic nanoparticles (MNPs), ensuring specificity and minimizing matrix interference. Successful validation in spiked chicken bouillon samples (recovery: 93.3%, RSD: 3.5%) confirms practical utility under real-world conditions. This strategy uniquely merges microbiology with nanomaterials science, offering a low-cost, rapid, and visually interpretable solution for decentralized pathogen screening.
Authors
- Ehsan Shokri (ORCID: https://orcid.org/0000-0001-7417-5637)
- Forough Ghasemi (ORCID: https://orcid.org/0000-0003-1093-2058)
- Sina Soleimani (ORCID: https://orcid.org/0000-0002-3914-2909)
- Peyman Kheirandish Zarandi (ORCID: https://orcid.org/0000-0001-9887-1370)
- Mahdi Alijanianzadeh (ORCID: https://orcid.org/0000-0001-9393-5275)
- Amir Hossein Q. Selakjan
Institutions
- Kharazmi University (IR)
- Agricultural Biotechnology Research Institute of Iran (IR)
Publication Details
- Journal
- Scientific Reports
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1038/s41598-025-22852-z
- Citations
- 1
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.67