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:

Piceatannol, a potent bioactive stilbene, as major phenolic component in Rhodomyrtus tomentosa. The sim fruit (Rhodomyrtus tomentosa) has long been used in folk medicine to treat diarrhoea, dysentery, and to boost the immune system. The purpose of this work was to determine its phenolic profile and to evaluate the changes of content during maturation, as well as the variations induced by environmental conditions. Using HPLC-ESI-HR-MS, 19 phenolic compounds (PCs) were tentatively characterised and included stilbenes and ellagitannins as major components, followed by anthocyanins, flavonols, and gallic acid. PCs were then further quantified by HPLC-DAD. Piceatannol, a promising health-promoting stilbene component, was the major PC in the fruit with a concentration of 2.3mg/g dry weight at full maturity stage. This concentration is 1000-2000 times higher than that of red grapes, a major source of stilbene in the human diet. During maturation, the contents in piceatannol and other stilbenes, ellagitannins, and flavonols decreased while the anthocyanin content increased. Shade-grown sim fruits showed significantly higher piceatannol levels than sun-exposed fruits. Taken together, these findings highlight the potential of sim, an under-utilised plant species from South-East Asia, as a source of health-promoting fruits.
{"Chemical": ["anthocyanin", "phenolic", "gallic acid", "piceatannol", "Piceatannol", "flavonols", "stilbenes", "stilbene", "anthocyanins"]}