Advances and perspectives of aptasensors for the detection of tetracyclines: A class of model compounds of food analysis.

Food Chem

College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong Province 266003, China; Laboratory for Marine Drugs and Bioproducts of Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong Province 266237, China.

Published: December 2021

AI Article Synopsis

  • The text reviews over 100 advanced aptasensors developed for detecting residual tetracyclines in food, focusing on their design, performance, and pros and cons.
  • It categorizes these aptasensors based on their transduction techniques, including optics and electricity, and discusses current challenges like limited specificity and affinity of aptamers.
  • The review also highlights future trends, such as integrating advanced materials and technologies, to enhance the practical applications of aptasensors in food analysis.

Article Abstract

The residual tetracyclines in food are frequently applied as the model compounds to develop aptasensors. Until now, more than 100 advanced aptasensors towards tetracyclines have been developed and published in English. This review summarizes and discusses comprehensively these advanced aptasensors, in terms of the principle designs, applied frontier transducers/materials, working performance, and advantages/disadvantages. The aptasensors are classified according to the inherent transduction techniques, i.e., optics, optics-electricity, optics-mass, and electricity-mass. Moreover, the present challenges such as the limited specificity and limited affinity of the aptamers, the future prospects and trends such as further combination with other advanced materials and technologies, and the urgent need of expanding the practical application were discussed and prospected. We hope this review can serve as a powerful tool for both tracing the development progresses of aptasensors and providing adequate references for further development of aptasensing methods for food-related analytes.

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Source
http://dx.doi.org/10.1016/j.foodchem.2021.130361DOI Listing

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