1. Development and evaluation of an IgY based silica matrix immunoassay platform for rapid onsite SEB detection
- Author
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J. Achuth, M. Venkataramana, R. M. Renuka, M. S. Shivakiran, Krishna Kadirvelu, and K. Jalarama Reddy
- Subjects
Detection limit ,Chromatography ,medicine.diagnostic_test ,General Chemical Engineering ,chemical and pharmacologic phenomena ,02 engineering and technology ,General Chemistry ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,Contact angle ,Matrix (chemical analysis) ,chemistry.chemical_compound ,chemistry ,Immunoassay ,Triethoxysilane ,medicine ,Surface modification ,Glutaraldehyde ,Response surface methodology ,0210 nano-technology - Abstract
The present study involves immunoassay platform development based on a surface functionalized silica matrix for rapid onsite detection of Staphylococcal enterotoxin B (SEB). Silica matrix functionalization as well as the immunoassay parameters was experimentally designed and optimized through response surface methodology (RSM). Silica surface functionalization was carried out with hydrofluoric acid (HF), ammonia, 3-aminopropyl triethoxysilane (APTES) and glutaraldehyde (GA). The RSM optimized matrix functionalization parameters for HF, ammonia, APTES and GA were determined to be 10%, 40%, 20% and 10% (V/V), respectively. Antibodies for the study were generated against recombinant SEB toxin in rabbit (anti-SEB IgG) and chicken (anti-SEB IgY). Subsequently, antibodies were immobilized on the functionalized silica matrix and were further characterized by SEM and contact angle measurements to elucidate the surface uniformity and degree of hydrophilicity. The immunoassay platform was developed with anti-SEB IgG (capturing agent) and anti-SEB IgY (revealing partner). The limit of detection (LOD) of the developed platform was determined to be 0.005 μg mL−1 and no cross-reactivity with similar toxins was observed. Upon co-evaluation with a standard ELISA kit (Chondrex, Inc) against various field isolates, the platform was found to be on par and reliable. In conclusion, the developed method may find better utility in onsite detection of SEB from resource-poor settings.
- Published
- 2018