AIMS: This review article focuses on electrochemical biosensors in the diagnosis of diabetes mellitus and their latest trends and advances. In particular, non-enzymatic, non-invasive, wearable, and non-glucose biosensors are described. METHODS: The current literature was searched and recent works on this matter were cited and discussed in the text of this paper. RESULTS: The overworld health problem, the incurable disease, the global burden on health insurers and society, and above all one of the leading causes of death – all characterize diabetes mellitus, a lifelong chronic disease that affects hundreds of millions of people around the world. The new types of biosensors bring new opportunities in the care of diabetic patients and improve current methods. The practical relevance of the recent fi ndings is expected in medicine in next years. CONCLUSIONS: The authors summarized the modern possibilities of biosensing, their pros and cons, and their perspectives for the future. The discussion outcome from the current literature (Tab. 4, Fig. 1, Ref. 63).
- MeSH
- biosenzitivní techniky * klasifikace metody statistika a číselné údaje trendy MeSH
- diabetes mellitus * diagnóza prevence a kontrola MeSH
- glykovaný hemoglobin analýza MeSH
- inzulin lidský analýza MeSH
- krevní glukóza analýza MeSH
- lidé MeSH
- lidský sérový albumin analýza MeSH
- nanostruktury analýza klasifikace statistika a číselné údaje terapeutické užití MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- přehledy MeSH
Detailed knowledge regarding sensor based technologies for the detection of food contamination often remains concealed within scientific journals or divided between numerous commercial kits which prevents optimal connectivity between companies and end-users. To overcome this barrier The End user Sensor Tree (TEST) has been developed. TEST is a comprehensive, interactive platform including over 900 sensor based methods, retrieved from the scientific literature and commercial market, for aquatic-toxins, mycotoxins, pesticides and microorganism detection. Key analytical parameters are recorded in excel files while a novel classification system is used which provides, tailor-made, experts' feedback using an online decision tree and database introduced here. Additionally, a critical comparison of reviewed sensors is presented alongside a global perspective on research pioneers and commercially available products. The lack of commercial uptake of the academically popular electrochemical and nanomaterial based sensors, as well as multiplexing platforms became very apparent and reasons for this anomaly are discussed.
