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:

New triterpene glycoside and other chemical constituents from the leaves of Swartzia apetala Raddi var. glabra. A new triterpene saponin (1) was isolated from a methanol extract of Swartzia apetala Raddi var. glabra, together with the flavonoids mauritianin (2), kaempferol (3) and the triterpene saponin β-D-glucopyranosyl 3β-hydroxy-olean-12-en-28-oate (4). These compounds were characterised on the basis of their spectral data, mainly one-dimension (1D; (1)H, (13)C, APT) and two-dimension (2D; (1)H-(1)H-COSY, HMQC and HMBC) nuclear magnetic resonance (NMR) and HR-ESI-MS, and comparison with values in the literature. The analysis by HR-ESI-MS showed a mass compatible with that of triterpene saponin 1. This proposal was supported by molecular modelling. LC-HR-ESI-MS experiment was also used to evaluate the purity of 1 and allowed to speculate about the possibility of the presence of 5 in very small quantity. The extract and four compounds were assayed for antifungal activity against nine strains of Candida spp.
{"Chemical": ["flavonoids", "(13)C", "mauritianin", "kaempferol", "triterpene saponin", "methanol", "(1)H", "\u03b2-D-glucopyranosyl 3\u03b2-hydroxy-olean-12-en-28-oate", "triterpene glycoside"]}