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:

Rapid method for the separation and recovery of endocrine-disrupting compound bisphenol AP from wastewater. The removal of bisphenol AP (BPAP) by a multiwalled carbon nanotube (MWCNT) was investigated. BPAP, representing typical scenarios for the BPAP-MWCNT interactions, was employed as a probe molecule. It was found that BPAP exhibited great adsorptive affinity to MWCNT, and the adsorption kinetics equilibrium was arrived within 4.0 min following the pseudo-second-order model. The overall rate process was mainly controlled by the external mass transfer. The hydrogen bond, hydrophobic, and π-π stacking interactions were dominant factors for the strong adsorption of BPAP, instead of the pH ionic strength and other ionic species in contaminated water. The MWCNT has higher stability within 8 removal-regeneration recycles, and up to 95% of recovery could be obtained by eluting the adsorbed BPAP on MWCNT adsorbent using ethanol/sodium hydrate solution. The results of the experiment on real samples verified the effectiveness for the recovery and removal of BPAP from wastewater samples.
{"Chemical": ["bisphenol AP", "BPAP", "sodium hydrate", "carbon", "ethanol", "hydrogen"]}