Wet-chemical discrimination of amino acids is still a challenge due to their structural similarity. Here, an optimized self-assembled eight-member sensor array is reported. The optimized sensor array stems from the combination of elements of different tongues, containing poly(para-phenyleneethynylene)s (PPE) and a supercharged green fluorescent protein (GFP) variant. The responsivity of the sensor dyes (PPEs and GFP) is enhanced in elements that contain adjuvants, such as metal salts but also cucurbit[7]uril (CB[7]) and acridine orange; a suitable and robust eight element array discriminates all of the 20 natural amino acids in water at 25 mM concentration with 100% accuracy. The results group well to the amino acid type, i.e., hydrophobic, polar, and aromatic ones.

中文翻译：

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优化的传感器阵列可识别所有天然氨基酸

由于氨基酸的结构相似性，对氨基酸进行湿化学区分仍然是一个挑战。在此，报告了一种优化的自组装八元传感器阵列。优化的传感器阵列源于不同舌头的元素组合，包含聚对-对亚苯基乙炔（PPE）和增压绿色荧光蛋白（GFP）变体。传感器染料（PPE和GFP）在包含佐剂的元素（如金属盐，葫芦[7]尿素（CB [7]）和a啶橙）中的反应性得到增强。一个合适且坚固的八元素阵列可以100％的准确度区分25 mM浓度的水中20种天然氨基酸。结果很好地归类为氨基酸类型，即疏水，极性和芳族氨基酸。