Choi Yoonji, Lee Sujin, Lee Seungha, Hong Seunghun, Kwon Hyung Wook
Department of Physics and Astronomy, and Institute of Applied Physics, Seoul National University, Seoul08826, Republic of Korea.
Department of Life Sciences & Convergence Research Center for Insect Vectors, Incheon National University, Incheon22012, Republic of Korea.
ACS Sens. 2022 Dec 23;7(12):3682-3691. doi: 10.1021/acssensors.2c01254. Epub 2022 Dec 1.
A bioelectronic tongue (B-ET) mimicking insect taste systems is developed for the real-time detection and discrimination of natural and artificial sweeteners. Here, a carbon nanotube field-effect transistor (CNT-FET) was hybridized with nanovesicles including the honeybee sugar taste receptor, gustatory receptor 1 of (AmGr1). This strategy allowed us to detect glucose, a major component of nectar, down to 100 fM in real time and identify sweet tastants from other tastants. It could also be utilized for the detection of glucose in dextrose tablet solutions. Importantly, we demonstrated the discrimination between natural and artificial sweeteners down to 10 pM even in real beverages such as decaffeinated coffee using our hybrid platform. In this respect, our B-ET mimicking insect taste systems can be a powerful tool for various applications such as food screening and basic studies on insect taste systems.
一种模仿昆虫味觉系统的生物电子舌（B-ET）被开发出来，用于实时检测和区分天然甜味剂和人工甜味剂。在此，碳纳米管场效应晶体管（CNT-FET）与包含蜜蜂糖味受体、味觉受体1（AmGr1）的纳米囊泡杂交。这种策略使我们能够实时检测花蜜的主要成分葡萄糖，检测下限低至100飞摩尔，并从其他味觉物质中识别甜味剂。它还可用于检测葡萄糖片溶液中的葡萄糖。重要的是，我们证明了即使在脱咖啡因咖啡等真实饮料中，使用我们的混合平台也能区分低至10皮摩尔的天然甜味剂和人工甜味剂。在这方面，我们模仿昆虫味觉系统的B-ET可成为食品筛选和昆虫味觉系统基础研究等各种应用的有力工具。
