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:

Relationships between the evolution of the percentage in weight of polar compounds and that of the molar percentage of acyl groups of edible oils submitted to frying temperature. The evolution of the molar percentage of several kinds of acyl groups of extra virgin olive, sunflower and virgin linseed oils was monitored throughout heating at frying temperature by means of (1)H nuclear magnetic resonance. Likewise, the evolution of the percentage in weight of the polar compounds of the same oils under the same heating conditions was also determined. Relationships between both sets of parameters, in each oil and in the oils as a group, were studied. An equation which is able to accurately predict the percentage in weight of the polar compounds, throughout the heating at frying temperature, of any one of these three oils, from the molar percentage of triunsaturated, diunsaturated and monounsaturated acyl groups, was obtained. In this way both molar percentage of acyl groups and percentage in weight of polar compounds can be obtained in a few minutes that registration of the (1)H NMR spectrum of the oil takes, in addition to the rest of information provided by this technique. The study reveals the close relationships between percentage in weight of polar compounds and the composition expressed in terms of molar percentages of acyl groups in edible oils heated at frying temperature.
{"Chemical": ["acyl", "(1)H"]}