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:

Global analytical strategy to measure drug-plasma protein interactions: from high-throughput to in-depth analysis. The selection of drug candidates with improved pharmacokinetics is essential to reduce the attrition rates during drug development and represents one of the big challenges faced by the pharmaceutical industry. Plasma protein binding (PPB) is an important parameter with significant implications for in vivo drug performance. Today, the most widely used techniques for PPB measurement in the pharmaceutical community are equilibrium dialysis (ED) and ultrafiltration (UF). However, these techniques have some limitations. Thus, we emphasize an alternative strategy, based on a global, new and easy-to-follow methodology, to screen and perform determination of PPB, using orthogonal techniques (i.e. liquid chromatography, capillary electrophoresis (CE), surface plasmon resonance (SPR) based biosensor). We anticipate that the increased knowledge gained through this strategy will lead to improved drug candidates.
{"Chemical": []}