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:

Purification, antioxidant activity and protein-precipitating capacity of punicalin from pomegranate husk. Punicalin is a kind of ellagitannin, existing in pomegranate husk, and has shown remarkable biological activities. A rapid and large-scale separation method of punicalin from pomegranate husk was established, using medium pressure liquid chromatography (MPLC). The optimal mobile phase consisted of 5% methanol and 0.1% (v/v) TFA in water, and the optimal loading amount and flow rate were 1.0 g and 80 ml/min, respectively. Under this condition, 339 mg of 95.9% punicalin could be obtained in 40 min. 59.7 mg of 78.0% gallic acid could be separated simultaneously. This method was practical for industrial utilisation of pomegranate husk. Afterwards, the antioxidant and protein-precipitating capacities of the purified punicalin, together with punicalagin, were evaluated. Results showed that punicalin had strong antioxidant activity, and it exhibited a low affinity for protein. This suggested that the antioxidant of punicalin would not be greatly masked by tannin-protein precipitation in application, and hence confirmed punicalin to be a promising antioxidant.
{"Chemical": ["TFA", "Punicalin", "punicalin", "gallic acid", "punicalagin", "methanol", "tannin"]}