Title:Cellulose-based Biosensor for Bio-molecules Detection in Medical Diagnosis: A Mini-Review
Volume: 27
Issue: 28
关键词:
纤维素,生物传感器,制备,生物分子,医学诊断,纤维素衍生物,细菌纤维素。
摘要:
Background: Biosensors are widely applied for the detection of bio-molecules in blood
glucose , cholesterol, and gene. Cellulose as the most dominating natural polymer has attracted
more and more interest, especially in the field of medicine such as advanced medical diagnosis.
Cellulose could endow biosensors with improved biocompatibility, biodegradability and nontoxicity,
which could help in medical diagnosis. This mini-review summarizes the current development
of cellulose-based biosensors as well as their applications in medical diagnosis in recent
years.
Methods: After reviewing recent years’ publications we can say that, there are several kinds of
cellulose used in biosensors including different cellulose derivatives, bacterial cellulose and nanocellulose.
Different types of cellulose-based biosensors, such as membrane, nano-cellulose and
others were briefly described in addition to the detection principle. Cellulose-based biosensors
were summarized as in the previous papers. The description of various methods used for preparing
cellulose-based biosensors was also provided.
Results: Cellulose and its derivatives with their unique chemical structure proved to be versatile
materials providing a good platform for achieving immobilizing bioactive molecules in biosensors.
These cellulose-based biosensors possess various desirable properties such as accuracy, sensitivity,
convenience, low cost and fast response. Among them, cellulose paper-based biosensors
have the advantages of low cost and easy operation. Nano-cellulose has unique properties such as
a large aspect ratio, good dispersing ability and high absorption capacity.
Conclusion: Cellulose displays a promising application in biosensors which could be used to detect
different bio-molecules such as glucose, lactate, urea, gene, cell, amino acid, cholesterol, protein
and hydroquinone. In future, the attention will be focused on designing miniaturized, multifunctional,
intelligent and integrated biosensors. Creation of low cost and environmentally
friendly biosensors is also very important.