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A rapid sensing of Ascorbic acid method based on cobalt oxyhydroxide and TMB (54827-17-7)

2022-02-15 10:13:55

Ascorbic acid (AA), an essential micronutrient required for many biochemical processes, plays vital roles in balancing the oxidative stress of human body and neurotransmitter-related enzymes involved processes. Abnormal levels of AA are related to many diseases, such as the common cold, scurvy, mental ill-ness, atherosclerosis, cancers, and cataracts. In addition, AA is also widely used as an antioxidant [1] in food, beverages, cosmetics, and pharmaceutical formulations. Therefore, the accurate determination of AA is of great importance in disease diagnosis, food safety and cosmetic applications.


Some traditional methods including HPLC, electrochemical analysis, capillary electrophoresis, ELISA have been proposed for detection of AA. Despite the successful detection results, sophisticated equipment, skilled technicians, or high-cost biological reagents are needed by most of methods. Ji et al. [1] developed a simple and rapid detection method which combining CoOOH nanoflakes with TMB. CoOOH nanoflakes can directly oxidize TMB to oxTMB visibly appearing as blue. While in the presence of AA, CoOOH nanoflakes are decomposed to Co2+, which cannot oxidize TMB, resulting in a low absorbance value and loss of blue color. Therefore, the concentration of AA can be determined very easily by recording absorption changes at 652 nm and/or observing color changes of this sensing system with bare eyes. Based on above strategy, they have developed a simple paper strip sensor for AA detection.


The detection method based on this strategy show some advantages, such as short duration of sensing, high selectivity of AA, and the low detection limit is up to 142 nM. This assay was also successfully used to quantify AA in human serum samples and practical food samples. It is particularly important that the developed paper strip sensor based on this showed successful results for the detection of AA. It shows great potential for point of care applications.


References:

[1] D. Y. Ji, Y. H. Du et al. Sensors and Actuators B, 2018, 256, 512-519.


Edited by Suzhou Yacoo Science Co., Ltd


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