Self-assembled polydiacetylene (PDA) vesicles, with the distinct advantages of low-cost materials, simple preparation, and excellent chromatic properties, can be perfectly combined with a colorimetric strip for on-site inspection. Herein, without involving expensive reagents and instruments, a visual colorimetric strip based on well-prepared PDA vesicles was developed to analyze and monitor histamine in deep-sea fish and its canned food. The standard calorimetric card for semiquantitative detection of histamine was successfully prepared and the quantitative detection can be further realized by analyzing the gray value using ImageJ and “Color Grab” in a smart phone. After optimizing the assembly conditions, this assay exhibited a linear response to histamine within the range from 70 to 2240 ppm. With excellent stability and sensitivity, this strip can be used to monitor the quality change of canned fish at different temperatures, so that people can avoid suffering from histamine poisoning, suggesting that it holds great potential in the intelligent system for on-site detection and real-time monitoring.

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A highly selective and sensitive method for Cd(II) detection was developed based on aptamer and gold nanoparticles (AuNPs) combined with a colorimetric smartphone readout. The experimental conditions such as reaction time of polydiene dimethyl ammonium chloride (PDDA) and AuNPs, PDDA dose, time of aptamer and PDDA incubation, and aptamer concentration were optimized. Under the optimized conditions, the color and red(R) value of the solution was concentration-dependent on Cd(II). The proposed method exhibited a linear range of 1–400 ng/mL (r2 = 0.9794) with a limit of detection (LOD) of 1 ng/mL. This method had been successfully applied to test and quantify Cd(II) in water and rice samples, and the results were in full agreement with those from the atomic absorption spectrometer. Therefore, low-cost colorimetry demonstrated its potential for practical application in visual or quantitative detection with a smartphone. This approach can be readily applied to other analytes.

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