A triple-channel sensing array for protein discrimination based on multi-photoresponsive g-C3N4

A Paper-Based Sensor for the Detection of Gastroesophageal Reflux Disease Utilizing a Cleavable Fluorescent Polymer

Nowadays, gastroesophageal reflux disease (GERD) has emerged as one of the major hazards to the health of the upper gastrointestinal tract, and there is an urgent need for a low-cost, user-friendly, and non-invasive detection method. Herein, a paper-based sensor (CP sensor) for the non-invasive screening of GERD is proposed. The sensor is structured as a specially shaped cellulose paper strip embedded with fluorescent colloids, which are self-assembled from a cleavable synthetic fluorescent polymer (P4). Benefiting from the introduction of amide bonds and the unique assembled structure of the nanocolloids, the pepsin in the sample solution will hydrolyze the water-soluble branches in the micellar shell during detection, resulting in a corresponding output of the fluorescent signal. This responsiveness, which can be observed by the naked eye, is so sensitive with a minimum detectable concentration for pepsin as low as 0.3 ng·mL-1. Clinical trials have further demonstrates that the designed paper sensor is capable of providing improved accuracy in the early diagnosis of GERD.

Construction of metal (Mn, Ce, Eu)-containing species in CN nanocomposites with photo-responsive oxidase-mimicking activity for multi-antioxidant discrimination

On the basis of three M-CN nanocomposites with photo-oxidase activity, a colorimetric sensor is proposed for the pattern recognition of antioxidants.

Array-Based Discriminative Optical Biosensors for Identifying Multiple Proteins in Aqueous Solution and Biofluids

Identification of proteins is an important issue both in medical research and in clinical practice as a large number of proteins are closely related to various diseases. Optical sensor arrays with recognition ability have been flourished to apply for distinguishing multiple chemically or structurally similar analytes and analyzing unknown or mixed samples. This review gives an overview of the recent development of array-based discriminative optical biosensors for recognizing proteins and their applications in real samples. Based on the number of sensor elements and the complexity of constructing array-based discriminative systems, these biosensors can be divided into three categories, which include multi-element-based sensor arrays, environment-sensitive sensor arrays and multi-wavelength-based single sensing systems. For each strategy, the construction of sensing platform and detection mechanism are particularly introduced. Meanwhile, the differences and connections between different strategies were discussed. An understanding of these aspects may help to facilitate the development of novel discriminative biosensors and expand their application prospects.