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Smart Agriculture ›› 2022, Vol. 4 ›› Issue (1): 121-129.doi: 10.12133/j.smartag.SA202202001

• 专题--作物生长及其环境监测 • 上一篇    下一篇

利用表面增强拉曼光谱定量检测植物激素脱落酸

张燕燕1,2(), 李灿1,2, 苏睿1,2, 李林泽1,2, 位文涛1,2, 李保磊1,2, 胡建东1,2,3()   

  1. 1.河南农业大学 机电工程学院,河南 郑州 450002
    2.河南省农业激光技术国际联合实验室,河南 郑州 450002
    3.小麦玉米作物学国家重点实验室,河南 郑州 450002
  • 收稿日期:2021-09-17 出版日期:2022-03-30
  • 基金资助:
    国家自然科学基金项目(32071890);国家重点研发计划项目(2017YFD0801204);国家重点实验室开放课题(30501011)
  • 作者简介:张燕燕(1981-),女,博士研究生,副教授,研究方向为植物激素的光谱检测。E-mail:zyanyan0923@163.com
  • 通信作者:

Quantitative Determination of Plant Hormone Abscisic Acid Using Surface Enhanced Raman Spectroscopy

ZHANG Yanyan1,2(), LI Can1,2, SU Rui1,2, LI Linze1,2, WEI Wentao1,2, LI Baolei1,2, HU Jiandong1,2,3()   

  1. 1.College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
    2.Henan International Joint Laboratory of Agricultural Laser Technology, Zhengzhou 450002, China
    3.State Key Laboratory of Wheat and Corn Crop Science, Zhengzhou 450002, China
  • Received:2021-09-17 Online:2022-03-30

摘要:

植物激素脱落酸(Abscisic Acid,ABA)在调控植物生长和发育方面具有重要作用。然而,ABA在植物组织中含量较低,迫切需要快速灵敏的检测方法。本研究建立了一种基于适配体识别和表面增强拉曼光谱(Surface-Enhanced Raman Spectroscopy,SERS)检测的ABA快速、定量检测方法。ABA适配体修饰的纳米金颗粒兼具SERS信号增强和选择性识别等特点,实现了复杂植物样品基质中痕量ABA的快速、灵敏检测。当ABA分子出现时,适配体将与ABA分子特异性结合,结合后的适配体折叠成G-四聚体结构,将ABA分子包裹在四聚体结构内,拉近ABA分子与金纳米颗粒之间的距离,获得增强并稳定的ABA分子SERS信号。在适配体浓度优化的条件下,该方法检测限为0.1μmol/L,线性相关系数R2=0.9855,重复性相对标准偏差(Relative Standard Deviation,RSD)≤6.71%,且SERS增强基底的稳定性良好(>6个月)。特别是,该方法用于小麦叶片中ABA的检测,检测结果与酶联免疫吸附剂测定(Enzyme Linked Immunosorbent Assay,ELISA)具有良好的吻合度(相对误差≤9.13%)。该研究为植物激素快速检测提供了有效的解决方案。

关键词: 脱落酸, 适配体识别, 表面增强拉曼光谱, 金纳米颗粒, 生物传感器

Abstract:

Plant hormone Abscisic Acid (ABA) plays an important role in regulating plant growth. However, the content of ABA in plant tissues is very low, and rapid and sensitive detection methods are urgently needed. In this study, a rapid and quantitative ABA detection method was established based on aptamer recognition and surface-enhanced Raman spectroscop (SERS). The gold nanoparticles modified by ABA aptamer had the characteristics of SERS signal enhancement and selective recognition, realizing the rapid and sensitive detection of trace ABA in complex plant sample matrix. When ABA molecules appeared in detect system, the aptamer would specifically bind with ABA molecules, and the aptamer folded into G-tetrad structure at same time, which wrapped ABA molecules in the tetrad structure, shortened the distance between ABA molecules and gold nanoparticles, and the enhanced and stable ABA molecules SERS signal were obtained. Under the condition of optimized aptamer concentration at 0.12 μmol/L, different concentrations of ABA solutions in the detection system were detected. Within the concentration range of 0.1-100 μmol/L, the SERS intensity of ABA presented a good linear relationship with the concentration. The detection limit of this method was 0.1 μmol/L and the linear correlation coefficient R2 was 0.9855. The repeatability test of 20 points randomly on SERS substrate showed that the relative standard deviation (RSD) was 6.71%, indicating the stability of SERS substrate was well. Furthermore, the substrate of gold nanoparticles modified by the ABA aptamer terminal with sulfhydryl group (SH-Apt) could be stored in the refrigerator for more than half a year, indicating that the substrate has good stability. Once the preparation of the synthesized SH-Apt modified gold nanoparticles was completed. It could be used on demand without the need to prepare SERS substrate for every detection. In this sense, the constructed aptamer SERS biosensor could realize the rapid and quantitative detection of ABA. The method was used for the determination of ABA in wheat leaves, and the result was in good agreement with the Enzyme Linked Immunosorbent Assay (ELISA) (The max relative error was 9.13%). This biosensor is an exploratory study on the detection of plant hormones by SERS, and the results of the study will have important reference value for the subsequent quantitative and on-site detection of ABA, as well as the detection of other plant hormones.

Key words: abscisic acid, aptamer recognition, surface-enhanced Raman spectroscopy, gold nanoparticles, biosensor

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