Advanced Molecularly Imprinted Materials for Affinity Separation, Disease Diagnosis, Single-Cell Analysis, Bioimaging and Cancer Therapy
Zhen
Liu
Professor
State
Key
Laboratory
of
Analytical
Chemistry
for
Life
Science
School
of
Chemistry
and
Chemical
Engineering
Nanjing
University,
China
Thursday,
July
25,
2019
10:00
a.m.
C2-361
(Reading
Room)
Abstract:
Antibodies have been the working horse for the recognition of biomolecules for many important applications such as disease diagnostics and cancer therapy. However, antibodies suffer from some apparent disadvantages, such as poor stability and poor reproducibility. Molecularly imprinted polymers (MIPs) have developed as important alternatives of antibodies and found wide applications such as separation, sensing and bioassays. However, the preparation of MIPs capable of recognizing specific targets in complex biological samples or systems still remains greatly challenging. In recent years, we have gained great progresses in the area of molecular imprinting. With the invention of two facile and generally applicable imprinting approaches, i.e., photolithographic boronate affinity imprinting [1] and boronate affinity controllable oriented surface imprinting [2,3], we have prepared boronate affinity MIPs with excellent recognition properties towards cis-diol-containing compounds particularly glycoproteins and sugars. These MIPs enabled promising applications such as disease diagnosis [4], single cell analysis [5], cancer targeted photothermal therapy [6], cancer targeted therapy [7], and so on. Recently, a boronate affinity-assisted controllable oriented surface imprinting [8] was developed, allowing for high-specificity recognition of non-glycoproteins and non-glycopeptides. Thus, such advanced MIPs provided versatile and powerful artificial receptors for many promising applications, particularly precision diagnostics and nano medicine. This talk mainly introduces these controllably prepared MIPs and their applications in affinity separation, disease diagnosis, single-cell analysis, bioimaging and cancer therapy.
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