Metal-Tannic Acid Nanospheres Empowering DNA Nanoarchitectures for Multimodal Detection of Low-Abundance Pesticide-Resistance Genes
Rapid and on-site identification of pesticide-resistant genes (PRGs), especially low-abundance single-nucleotide mutations (SNMs) concealed within wild-type sequences, is vital for precision agriculture. However, existing bioassays face challenges in achieving sufficient specificity to distinguish mutations while maintaining sensitivity to detect mutant alleles at 0.1% frequency and multiplexing capability. Here, we report an ultrasensitive, multimodal platform that couples programmable DNA nanoarchitectures (DNAarch) with metal-tannic acid (MTA; M = Co, Fe, Mn) nanospheres, delivering instant visual readouts and high-fidelity photoelectrochemical (PEC) qualification. In the MTA-RCA@DNAarch construct, MTA nanospheres bind strongly to ultralong single-stranded rolling circle amplification (ssRCA) product-engineered DNAarch, imparting adhesion, pH-responsiveness, and photothermal/colorimetric signatures. Using three SNMs in the ryanodine-receptor gene of <i>Plutella xylostella</i> as models, target recognition triggers an RCA reaction, followed by selective MTA binding to the corresponding ssRCA amplicons, enabling on-site mutation screening via photothermal and colorimetric shifts. Under acidic conditions, the release of Co<sup>2+</sup>/Fe<sup>2+</sup>/Mn<sup>2+</sup> modulates the photoelectrode surface charge, boosting PEC signals for quantitative analysis. This assay achieves attomolar detection limits and discriminates SNMs present just at 0.01% within a wild-type sequence, while supporting multiplex operation. Field-sample validation confirms its robustness, positioning this visual/PEC multimodal platform as a powerful, real-time tool for monitoring PRG evolution in agricultural ecosystems.
Authors
- Z.G. Wang (ORCID: https://orcid.org/0000-0002-5933-9928)
- Jingming Gong (ORCID: https://orcid.org/0000-0003-1622-7560)
- Mingxia Meng
- Qingfeng Yao (ORCID: https://orcid.org/0000-0003-4600-0076)
- Lijuan Liu (ORCID: https://orcid.org/0000-0002-7906-6277)
- Shuyue Luo
Institutions
- Central China Normal University (CN)
- Green Chemistry (PL)
Publication Details
- Journal
- Analytical Chemistry
- Published
- 2025-09-23
- DOI
- https://doi.org/10.1021/acs.analchem.5c02751
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00