Talanta · 2026
Screening and SPR-guided maturation of anti-ricin cyclononapeptide for high-sensitivity fluorescent LFA integrated with ultracompact handheld reader.
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Huang Xuan, Zhao Yifan, Li Hongliang, Xiao Rui, Ma Bo, Chen Jia, Liu Yulong, Liu Yanqin, Kong Linlin, Xue Jinjuan, Wu Jianfeng, Nie Zhiyong, Li Zhi, Xu Hua, Jianwei Xie, Lei Guo
Аннотация
Ricin is a highly lethal plant-derived biotoxin posing severe threats to public security and necessitating rapid, sensitive, and on-site detection methods. To overcome the inherent batch-to-batch variability of traditional antibodies, synthetic peptides have emerged as promising alternative recognition elements. Herein, we report a de novo screening and surface plasmon resonance (SPR)-guided affinity maturation of novel anti-ricin cyclononapeptides for the development of a highly sensitive fluorescent lateral flow assay (LFA). Through a virtual-experimental iterative strategy integrating phage display, in silico molecular docking, alanine/histidine scanning, and double-site saturation mutagenesis, we evolved an optimum variant cyclopeptide (F7) with a 100-fold enhanced binding affinity (KD = 165 nM). Based on F7, we constructed two novel sandwich LFAs involving cyclopeptide-monoclonal antibody (mAb) or cyclopeptide-glycoprotein using time-resolved fluorescent microspheres as sensitive signal reporters. Facilitated by a self-developed ultracompact handheld reader, this optimized LFA achieved a high sensitivity of 0.1 ng/mL without requiring complicated signal amplification. Crucially, the developed LFA method demonstrated excellent matrix tolerance, enabling reliable semi-quantification of trace ricin in complex authentic samples, including human plasma, beverages, castor plant tissues, and suspected white powder mixtures. Combined with the self-developed ultracompact handheld LFA reader, the LFA platform exhibited satisfactory capture efficiency in simulated bioterrorism surface-swabbing scenarios. It is expected that this field-deployable, high-performance LFA platform could prove instrumental in the rapid risk assessment, on-site screening of complex environmental matrices, and emergency monitoring of severe biological hazards.