Analytical Chemistry· 2026Q1
Detection of Multi-Serotype Salmonella Based on Conserved Antigen Molecular Recognition
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- Q1SCImago
- 2026year
Short summary
A gold immunochromatographic strip (GICS) utilizing a high-affinity antibody pair (19F6–4E7) can detect 12 Salmonella serovars with visual limits of detection as low as 4.0 × 10³ CFU/mL in milk and chicken, and correctly identifies positive clinical samples.
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Key points
- A novel GICS was developed for Salmonella detection using a high-affinity antibody pair (19F6–4E7).
- The GICS can detect 12 Salmonella serovars.
- Visual LODs were 4.0 × 10³–4.0 × 10⁴ CFU/mL in milk and 4.0 × 10³–2.5 × 10⁵ CFU/mL in chicken.
- The antibody's high affinity is linked to CDR region interactions (hydrogen bonds, salt bridges) with the antigen.
- The system correctly identified positive clinical fecal samples for point-of-care testing.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract Salmonella is a common foodborne pathogen. Antibodies against Salmonella are typically generated using inactivated whole bacterial cells as immunogens; however, the lack of studies on the recognition mechanism has limited antibody development. In this work, immunoinformatics–based simulation was employed to screen outer membrane proteins with high immunogenicity as antigens, successfully generated high–affinity monoclonal antibodies. The selected antibody pair 19F6–4E7 was capable of detecting 12 Salmonella serovars. A gold immunochromatographic strip (GICS) was established with visual LOD values of 4.0 × 103–4.0 × 104 CFU/mL in milk and 4.0 × 103–2.5 × 105 CFU/mL in chicken. It also correctly identified positive clinical fecal samples, enabling point–of–care testing. The high affinity of the antibody is attributed to hydrogen bonds and salt bridge interactions between the CDR region and the antigen. This study provides a molecular structural basis for further antigen design and the rational engineering of antibodies.
The authors' abstract, as published at the source. Analytical Chemistry, 2026 · DOI ↗
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Field: Radiology, Nuclear Medicine and Imaging
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