Environmentally and/or biologically important ions species, as the notable food contaminants and environmental pollutants, can not only destroy ecosystems but also be terribly harmful to human health. Among them, as the most plentiful metal element in the earth's crust, aluminum is a non-essential trace elements, widely exist in our daily life and adversely affect human health, and is largely applied to industrial production, however, these industrial activities can lead to the overexposure of Al 3+ to environment, followed by excessive Al 3+ accumulation in the body and plant, can damage the brain, occurring hypomnesia, Alzheimer's disease, may also cause kidney and liver insufficiency, osteoporosis and other diseases, as well as the abnormal growth of plant. On the other hand, it has been treated as food contaminants to be regulated, as the permissible limit of WHO guideline for Al 3+ in drinking water is ~7.4 μM, thus it is of great momentousness to develop an simple and efficient way to sensing the contaminants Al 3+ ions in food and environment. At present, the existing conventional tools such as inductively coupled plasma-optical emission spectrometer/-mass spectrometry (ICP-OES/-MS), atomic absorption spectroscopy (AAS), and electrochemical method have already been used for detecting metal ions. However, the flies in the ointment are that these methods have the deficiencies of complex and professional operation (user-unfriendly), poor portability, as well as high cost. Nowadays, smartphone-integrated optical detection platform has emerged as a promising method for semi-quantitative or quantitative, low-cost, convenient, real-time and precise in-field analysis of metal ions and other targets. Compared with naked visualization detection, the smartphone-assisted RGB color analysis allows a higher accuracy and sensitivity mainly benefit from the breakthrough of self-limitation of vision. The above inadequacies would be addressed due to the fact that such a new strategy incorporating smartphone with optical probes can be easily expanded as a hand-held contaminant detector without the need of expensive and bulky instruments in the foreseeable future. Thus, it is meaningful and urgently needed to develop a portable, visualized, point-of-care (POC), accurate and handy optical analysis platform for Al and other analytes detection in further research, especially in resourcelimited environments.