Surface Plasmon Resonance Imaging for Multidimensional Seed Vigor Phenotyping: From Single-Analyte Detection to Kinetic Fingerprinting.
8 affiliations
- 1State Key Laboratory of Hybrid Rice, Longping Agricultural College, Hunan University, Changsha 410125, China.
- 2Yuelushan Laboratory, Changsha 410128, China.
- 3Institute of Cotton and Sericulture, Hunan Academy of Agricultural Sciences, Changsha 410125, China.
- 4School of Basic Medical Sciences, Xiangnan University, Chenzhou 423000, China.
- 5Hunan Vegetable Research Institute, Changsha 410125, China.
- 6Hunan Agricultural Equipment Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China.
- 7School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.
- 8Guangdong Provincial Key Laboratory of Sensing Physics and System Integration Applications, Guangdong University of Technology, Guangzhou 510006, China.
Abstract
Global food security faces escalating pressures from climate change, population growth, and resource limitations. Seed vigor, a complex physiological trait governing germination potential and stress resilience, remains critically underserved by conventional testing protocols that are destructive, time-intensive, and incompatible with industrial throughput. Surface plasmon resonance imaging (SPRi) offers a distinctive biosensing paradigm characterized by label-free detection, real-time kinetic analysis, and massively parallel multiplexing. Yet the agricultural SPR literature has been shaped by a single-analyte paradigm optimized for pesticide and pathogen detection, a framework that proves insufficient for the integrated interpretation of multiple biomarker panels that seed vigor demands. The biomarker panels considered here span macromolecular effectors that fall squarely within the direct detection range of SPRi and small-molecule osmoprotectants that are accessible through competitive, aptamer-based, or molecularly imprinted formats, a mixed-format multiplexing strategy for which experimental precedents on single sensor arrays exist. This review critically examines the operational boundaries of SPR/SPRi in agricultural matrices, surveys demonstrated performance across residue detection, soil monitoring, and breeding applications, and identifies why these achievements do not constitute a sufficient foundation for seed vigor assessment. We then analyze how SPRi technology must be strategically redesigned for non-destructive seed vigor evaluation, addressing biomarker selection criteria, non-invasive sampling hierarchies, surface functionalization for complex seed exudates, and kinetic phenotyping architectures for batch screening and stress-response fingerprinting. Performance enhancement through nanomaterial amplification, machine learning-based data interpretation, and microfluidic integration is evaluated alongside persistent gaps in matrix validation, biomarker standardization, and inter-laboratory reproducibility. The strategic significance of SPRi-enabled seed quality assurance for sustainable global agriculture is discussed in the context of these translational challenges.
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BibTeX
@article{zhang2026surface,
title = {{Surface Plasmon Resonance Imaging for Multidimensional Seed Vigor Phenotyping: From Single-Analyte Detection to Kinetic Fingerprinting.}},
author = {Hao Zhang and Caisheng Xiao and Bo Wang and Huilong Fang and Zhengding Mei and Geng Zhou and Chen Chen and Zhanhong Zhang and Hongjun Xie and Yinghong Yu and Mingdong Zhu and Chenglong Guo and Youjun Zeng and Xiao Tang},
journal = {Biosensors},
year = {2026},
month = sep,
doi = {10.3390/bios16100542},
url = {https://europepmc.org/article/MED/42930089},
note = {CC BY},
}
RIS
TY - JOUR
TI - Surface Plasmon Resonance Imaging for Multidimensional Seed Vigor Phenotyping: From Single-Analyte Detection to Kinetic Fingerprinting.
AU - Hao Zhang
AU - Caisheng Xiao
AU - Bo Wang
AU - Huilong Fang
AU - Zhengding Mei
AU - Geng Zhou
AU - Chen Chen
AU - Zhanhong Zhang
AU - Hongjun Xie
AU - Yinghong Yu
AU - Mingdong Zhu
AU - Chenglong Guo
AU - Youjun Zeng
AU - Xiao Tang
PY - 2026
DA - 2026/09/28
JO - Biosensors
DO - 10.3390/bios16100542
UR - https://europepmc.org/article/MED/42930089
AB - Global food security faces escalating pressures from climate change, population growth, and resource limitations. Seed vigor, a complex physiological trait governing germination potential and stress resilience, remains critically underserved by conventional testing protocols that are destructive, time-intensive, and incompatible with industrial throughput. Surface plasmon resonance imaging (SPRi) offers a distinctive biosensing paradigm characterized by label-free detection, real-time kinetic analysis, and massively parallel multiplexing. Yet the agricultural SPR literature has been shaped by a single-analyte paradigm optimized for pesticide and pathogen detection, a framework that proves insufficient for the integrated interpretation of multiple biomarker panels that seed vigor demands. The biomarker panels considered here span macromolecular effectors that fall squarely within the direct detection range of SPRi and small-molecule osmoprotectants that are accessible through competitive, aptamer-based, or molecularly imprinted formats, a mixed-format multiplexing strategy for which experimental precedents on single sensor arrays exist. This review critically examines the operational boundaries of SPR/SPRi in agricultural matrices, surveys demonstrated performance across residue detection, soil monitoring, and breeding applications, and identifies why these achievements do not constitute a sufficient foundation for seed vigor assessment. We then analyze how SPRi technology must be strategically redesigned for non-destructive seed vigor evaluation, addressing biomarker selection criteria, non-invasive sampling hierarchies, surface functionalization for complex seed exudates, and kinetic phenotyping architectures for batch screening and stress-response fingerprinting. Performance enhancement through nanomaterial amplification, machine learning-based data interpretation, and microfluidic integration is evaluated alongside persistent gaps in matrix validation, biomarker standardization, and inter-laboratory reproducibility. The strategic significance of SPRi-enabled seed quality assurance for sustainable global agriculture is discussed in the context of these translational challenges.
SN - 2079-6374
ER -