No abstract

Tea, originating from China, is an important part of Chinese traditional culture. There are different qualities of and producing areas for tea on the market, therefore it is necessary to discriminate between teas in a fast and accurate way. In this study, a chemical sensor array based on nanozymes was developed to discriminate between different metal ions and teas. The indicators for the sensor array are three kinds of nanozymes mimicking laccase (Cu‐ATP, Cu‐ADP, Cu‐AMP). The as‐developed sensor array successfully discriminated 12 metal ions and the detection limit was as low as 0.01 μM. The as‐developed sensor array was also able to discriminate tea samples. Different kinds of tea samples appeared in different areas in the canonical score plot with different response patterns. Furthermore, in a blind experiment, we successfully discriminated 12 samples with a 100% accuracy. This sensor array integrates chemistry and food science together, realizing the simultaneous detection of several kinds of teas using a sensitive method. The as‐developed sensor array would have an application in the tea market and provide a fast and easy method to discriminate between teas.

No abstract

pH-controlled fluorescence changes in a semiconducting polymer dot/pyrogallic acid system and a multifunctional sensing strategy for urea, urease, and pesticides.