Amines have been found a challenging compound class in previous works on chemical tongues. Herein, we describe the successful application of libraries based on host-guest inclusion complexes in cyclodextrins (CDs) and cucurbiturils (CBs) for the discrimination of primary, secondary, tertiary, aliphatic, and aromatic as well as linear and branched amines in water. Besides the clear need for new detection, identification and quantification techniques of organic compounds in water, the main advantage of our approach is that an array made by combining 6 simple basic dyes with 7commercial organic capsules allows a perfect discrimination among 14amines. The same methodology is employed for other chemicals with applications of industrial interests. We detail the technique and the different algorithms we used in order to obtain the results.

Development of sensor systems that can be of general use for the detection and the determination of organic compounds in water is still a challenge in analytical chemistry. Most approaches remain largely based on the design of selective sensors for individual organic compounds. This type of sensors require dedicated synthesis while frequently showing a very limited solubility in water.Oppositely, Suslick and coworkers shown that common pH indicators, solvathochromic molecules, and coloured metal complexes can be used for the discrimination of organic molecules in water. However they, as well as others, also pointed out that amines are among the most difficult analytes to discriminate. Our previous knowledge on he properties of host-guest complexes, and considering that amines can form strong hydrogen bonds with dyes and organic capsules, and are emission quenchers, let us anticipate that the interactions between amines and host-guest complexes can result in specific variations of the optical spectrum that can serve to sensor these organic compounds in water.

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