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:

A diazen-1-ium-1,2-diolate analog of 7-azabenzobicyclo[2.2.1]heptane: Synthesis, nitric oxide and nitroxyl release, in vitro hemodynamic, and anti-hypertensive studies. 1-(7-Azabenzobicyclo[2.2.1]heptane)diazen-1-ium-1,2-diolate (16) was designed with the expectation that it would act as a dual nitric oxide (NO) and nitroxyl (HNO) donor that is not carcinogenic or genotoxic. Compound 16, with a suitable half-life (17.8min) in PBS at pH 7, released NO (19%) and HNO (22%) during a 2h incubation in PBS at pH 7. In addition, compound 16 exhibited a significant in vitro positive inotropic effect, increased the rates of contraction and relaxation, and increased coronary flow rate, but did not induce a chronotropic effect. Furthermore, compound 16 (13.7mgkg(-1), po dose) provided a significant reduction in the blood pressure of mice up to 3h post-drug administration. All these data suggest that compound 16 constitutes an attractive 'lead-compound' that could have potential applications to treat cardiovascular disease(s) such as congestive heart failure.
{"Chemical": ["nitroxyl", "7-azabenzobicyclo[2.2.1]heptane", "diazen-1-ium-1,2-diolate", "HNO", "nitric oxide", "1-(7-Azabenzobicyclo[2.2.1]heptane)diazen-1-ium-1,2-diolate", "NO"]}