You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Chemical"].

Please return the output as a JSON object of the format: {"Chemical": ["Arsenic", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

High-Performance Surface Acoustic Wave Immunosensing System on a PEG/Aptamer Hybridized Surface. Label-free immunoassay systems have the advantages of procedural simplicity and a low construction cost of surfaces for immunosensing. When label-free immunoassay systems are considered, the nonspecific adsorption of unwanted materials should be eliminated unless it aids in the detection of error. PEG is well-known as a blocking agent for the prevention of the adsorption of nonspecific binding materials when coimmobilized with ligands for targets such as antibodies and oligonucleotides. The construction strategy for PEG/ligand coimmobilized surfaces is an important point in the preparation of a high-performance assays because the physiological condition of the ligand depends strongly on its interaction with the PEG chain. In this report, we investigate the interaction between thrombin and a thrombin-binding aptamer (TBA) on a PEG/TBA coimmobilized surface by using a shear horizontal surface acoustic wave (SAW) sensor. The thrombin-TBA binding property shows remarkable differences with changes in the PEG density and the distance from the gold surface to the aptamer.
{"Chemical": ["PEG"]}