Ultrasensitive Electrochemical Detection of Salmonella typhimurium in Food Matrices Using Surface-Modified Bacterial Cellulose with Immobilized Phage Particles
The rapid and sensitive detection of <i>Salmonella typhimurium</i> in food matrices is crucial for ensuring food safety. This study presents the development of an ultrasensitive electrochemical biosensor using surface-modified bacterial cellulose (BC) integrated with polypyrrole (Ppy) and reduced graphene oxide (RGO), further functionalized with immobilized <i>S. typhimurium</i>-specific phage particles. The BC substrate, with its ultra-fibrous and porous structure, was modified through in situ oxidative polymerization of Ppy and RGO, resulting in a highly conductive and flexible biointerface. The immobilization of phages onto this composite was facilitated by electrostatic interactions between the polycationic Ppy and the negatively charged phage capsid heads, optimizing phage orientation and enhancing bacterial capture efficiency. Morphological and chemical characterization confirmed the successful fabrication and phage immobilization. The biosensor demonstrated a detection limit of 1 CFU/mL for <i>S. typhimurium</i> in phosphate-buffered saline (PBS), with a linear detection range spanning 10<sup>0</sup> to 10<sup>7</sup> CFU/mL. In real samples, the sensor achieved detection limits of 5 CFU/mL in milk and 3 CFU/mL in chicken, with a linear detection range spanning 10<sup>0</sup> to 10<sup>6</sup> CFU/mL, maintaining high accuracy and reproducibility. The biosensor also effectively discriminated between live and dead bacterial cells, demonstrating its potential in real-world food safety applications. The biosensor performed excellently over a wide pH range (4-10) and remained stable for up to six weeks. Overall, the developed BC/Ppy/RGO-phage biosensor offers a promising tool for the rapid, sensitive, and selective detection of <i>S. typhimurium</i>, with robust performance across different food matrices.
Authors
- Mohamed F. Awad (ORCID: https://orcid.org/0000-0003-0467-9164)
- Xiaohan Yang (ORCID: https://orcid.org/0000-0001-9896-1392)
- Najeeb Ullah (ORCID: https://orcid.org/0000-0002-0173-7982)
- Shenqi Wang (ORCID: https://orcid.org/0000-0001-9617-1477)
- Mazhar Ul‐Islam (ORCID: https://orcid.org/0000-0001-8271-2578)
- Muhammad Wajid Ullah (ORCID: https://orcid.org/0000-0003-2984-0743)
- Syed Jawad Hussain (ORCID: https://orcid.org/0009-0007-7576-7619)
- Wajid Hussain (ORCID: https://orcid.org/0000-0002-4234-4763)
- Huan Wang (ORCID: https://orcid.org/0000-0003-2596-9013)
Institutions
- Nanjing Forestry University (CN)
- Taif University (SA)
- Dhofar University (OM)
- Huazhong University of Science and Technology (CN)
- University of Tennessee at Knoxville (US)
Publication Details
- Journal
- Biosensors
- Published
- 2024-10-14
- DOI
- https://doi.org/10.3390/bios14100500
- Citations
- 24
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 5.61
Funders
- Nanjing Forestry University
- Huazhong University of Science and Technology
- Taif University
- National Key Research and Development Program of China