A Multidimensional Sensing Device for the Discrimination of Proteins Based on Manganese-Doped ZnS Quantum Dots

Highly sensitive detection for alkaline phosphatase using doped ZnS quantum dots with room temperature phosphorescence and its logic gate function

This paper presents a highly sensitive sensing system for alkaline phosphatase by room temperature phosphorescence of Mn doped ZnS quantum dots and pyrophosphate. The sensing system has intense room temperature phosphorescence emission in the absence of alkaline phosphatase. The phosphorescence is quenched gradually with the addition of alkaline phosphatase. The emission "on" without alkaline phosphatase may be attributed to the increased probability of charge transfer from one of surface traps to the dopant bands of another resulted from the shortened dot-to-dot distance by the strong chelation of pyrophosphate and Zn²⁺ ion and the hydrogen bonding between pyrophosphate and β-cyclodextrin. The addition of alkaline phosphatase causes pyrophosphate hydrolyzed to orthophosphate and the dot-to-dot distance of quantum dots back to the normal, and then the phosphorescence "off". The factors affecting the sensing system performance were also optimized. Under the optimal experimental conditions, the linear range for alkaline phosphatase is determined as 0.2-10 U/L with a LOD at 0.045 U/L. The recovery of human serum was determined from 93.75%-103.03%, indicating a potential application in biomedical diagnosis. Furthermore, an RTP-based "INHIBIT" logic gate using the doped ZnS quantum dots was also presented.

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.

Sensor Array Based Determination of Edman Degradated Amino Acids Using Poly(p-phenyleneethynylene)s

A cross‐reactive optical sensor array based on poly(p‐phenyleneethynylene)s (PPEs) determines Edman degraded amino acids. We report a sensor array composed of three anionic PPEs P1–P3, and their electrostatic complexes with metal ions (Fe²⁺, Cu²⁺, Co²⁺). We recorded distinct fluorescence intensity response patterns as “fingerprints” of this chemical tongue toward standard phenylthiohydantoin (PTH) amino acids—degradation products of the Edman process. These “fingerprints” were converted into canonical scores by linear discrimination analysis (LDA), which differentiates all of the PTH‐amino acids. This array discriminates PTH‐amino acid residues degraded from an oligopeptide through Edman sequencing. This approach is complementary to chromatography approaches which rely on mass spectrometry; our array offers the advantage of simplicity.