Tang Shunkun, Wang Cheng, Liu Ke, Luo Bin, Dong Hongtu, Wang Xiaodong, Hou Peichen, Li Aixue
Research Center of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
College of Landscape and Ecological Engineering, Hebei University of Engineering, Handan 056038, China.
ACS Omega. 2022 Aug 16;7(34):30535-30542. doi: 10.1021/acsomega.2c04029. eCollection 2022 Aug 30.
The in vivo and on-site detection of key physiology parameters in plants will be of great relevance for precision agriculture and food technology. In this work, a sensitive enzymatic glutamate sensor was successfully developed. To enhance the conductivity and catalytic ability and to fix the glutamate oxidase, Au-Pt nanoparticles were first deposited on screen-printed electrodes, and then carboxylated graphene oxide and carboxylated multiwalled carbon nanotubes were fabricated for the synthesis of the electrode. The detection range of the glutamate sensor is widest (2 μM to 16 mM) up to date, and its detection limit is relatively low (0.14 μM). A number of standard curves were built in the pH range of 3.5-7.5, which can be applied in various plants and fruits. Using this sensor, the glutamate level in tomatoes was determined in vivo. This glutamate sensor has important practical value in precision agriculture. Our strategy also provides a way to establish the detection modes for other biomolecules in plants.
植物体内关键生理参数的现场检测对精准农业和食品技术具有重要意义。在这项工作中，成功开发了一种灵敏的酶促谷氨酸传感器。为了提高导电性和催化能力并固定谷氨酸氧化酶，首先将金铂纳米颗粒沉积在丝网印刷电极上，然后制备羧基化氧化石墨烯和羧基化多壁碳纳米管用于合成电极。该谷氨酸传感器的检测范围是目前最宽的（2 μM至16 mM），其检测限相对较低（0.14 μM）。在3.5 - 7.5的pH范围内建立了多条标准曲线，可应用于各种植物和水果。使用该传感器对番茄中的谷氨酸水平进行了体内测定。这种谷氨酸传感器在精准农业中具有重要的实际价值。我们的策略还为建立植物中其他生物分子的检测模式提供了一种方法。
