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:

Growth of highly fluorescent polyethylene glycol- and zwitterion-functionalized gold nanoclusters. We have prepared and characterized a new set of highly fluorescent gold nanoclusters (AuNCs) using one-step aqueous reduction of a gold precursor in the presence of bidentate ligands made of lipoic acid anchoring groups, appended with either a poly(ethylene glycol) short chain or a zwitterion group. The AuNCs fluoresce in the red to near-infrared region of the optical spectrum with emission centered at ∼750 nm and a quantum yield of ∼10-14%, and they exhibit long fluorescence lifetimes (up to ∼300 ns). Dispersions of these AuNCs exhibit great long-term colloidal stability, over a wide range of pHs (2-13) and in the presence of high electrolyte concentrations, and a strong resistance to reducing agents such as glutathione. The growth strategy further permitted the controlled, in situ functionalization of the NCs with reactive groups (e.g., carboxylic acid or amine), making these nanoclusters compatible with common and simple-to-implement coupling strategies, such as carbodiimide chemistry. These properties combined make these fluorescent NCs greatly promising for use in various imaging and sensing applications where NIR and long-lived excitations are desired.
{"Chemical": ["glutathione", "lipoic acid", "carboxylic acid", "polyethylene glycol", "poly(ethylene glycol)", "amine", "carbodiimide"]}