A more recent platform, developed by the research team of Professor JIANG Changlong of the Hefei Institute of Physical Sciences of the Chinese Academy of Sciences, has performed visual detection analysis of lung cancer and ketosis / diabetes using different probes test.
The researchers designed and prepared two high-efficiency organic fluorescent nanoprobes and realized the detection of biomarkers in exhaled breath by combining them with the color recognition of the smartphone.
Although many diseases do not show obvious symptoms when diagnosed early, the corresponding signals, such as sweat, urine, tears, blood, and exhaled gases, are usually sent as early warnings.
Here, a portable smartphone platform based on a dual-particle emission ratio fluorescent probe designed by the researchers realized the visual detection of isopropanol in exhaled breath to achieve the purpose of early warning of lung cancer risk. Another platform of fluorescent sensors they designed can effectively capture acetone into the blood and exhaled breath and warn of ketosis / diabetes.
The researchers developed the corresponding fluorescent probes to identify acetone and isopropanol, and used 3D printing technology and a smartphone APP (color recognizer) to complete visualization, in situ detection. and semiquantitative biomarkers.
With the proportion fluorescence strategy, two different colors of the fluorescence probe are mixed in a suitable proportion. When the biomarker is present, one type of fluorescence turns off while the standard internal fluorescence remains unchanged, so that it can present a light color under the irradiation of an ultraviolet lamp. The use of a smartphone to recognize the RGB value of the color of the fluorescent probe solution can perform the visualization, real-time and semi-quantitative detection of the target analyte.
As for the proportion probe, it is prepared for carbon points with low toxicity, high luminous efficiency and organic fluorescent materials with a wide range of bright colors, easy modification of the structure and good tuning. It has a lower detection limit for biomarkers, which can perform an early warning of human health. Combined with the fluorescence detection platform prepared by the smartphone, visual, fast, semi-quantitative and in situ detection can be performed.
The designed methods provide a convenient way to expand the application of possible studies of volatile biomarkers in initial follow-up and clinical diagnosis.
This research work was supported by the National Foundation of Natural Sciences of China and the Key Research and Development Program of Anhui Province.