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Immunoassay Optimization Using Monoclonal Antibodies for Aflatoxin B1 Detection

Agriculture Plant Pathology

Mycotoxin Detection in Grain Storage

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Advanced Chromatography Methods for Multi-Mycotoxin Simultaneous Detection Biosensor Development Using Aptamers for Real-Time Grain Mycotoxin Monitoring Fungal Metabolite Profiling and Mycotoxin Production Pathway Analysis During Storage Machine Learning Algorithms for Predictive Mycotoxin Accumulation Modeling Spectroscopic Fingerprinting for Non-Destructive Mycotoxin Assessment in Grain Kernels Microbiome Analysis and Mycotoxigenic Fungal Community Dynamics in Stored Grain Mycotoxin Stability and Degradation Kinetics Under Variable Storage Environmental Conditions Nanotechnology-Based Sensors for Ultra-Sensitive Mycotoxin Quantification in Grain Extracts Regulatory Mycotoxin Thresholds: Comparative Risk Assessment and Evidence-Based Standards Development

Agriculture Plant Pathology › Mycotoxin Detection in Grain Storage

Immunoassay Optimization Using Monoclonal Antibodies for Aflatoxin B1 Detection

This research engineers and characterizes high-affinity monoclonal antibodies with enhanced specificity toward aflatoxin B1 and its derivatives for immunoassay applications in stored grain analysis. The academic contribution produces validated immunological tools with superior cross-reactivity profiles and sensitivity thresholds below regulatory limits, advancing rapid screening methodologies.

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