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:

LC-ESI-TOF-MS identification of bioactive secondary metabolites involved in the antioxidant, anti-inflammatory and anticancer activities of the edible halophyte Zygophyllum album Desf. In this work, liquid chromatography coupled to electrospray time-of-flight mass spectrometry (LC-ESI-TOF-MS) has been applied to screen bioactive metabolites in shoot extract of the medicinal halophyte Zygophyllum album. Among 10 compounds identified (saponins, flavonoids and sterols) five were reported for the first time in Z. album. Furthermore, novel biological activities of hexane, dichloromethane and methanolic extracts were assessed. Results showed that methanolic extract exhibit the highest antioxidant activity using in vitro ORAC test and anti-inflammatory activity, inhibiting by 84.8% NO release in RAW264.7 macrophages. However, dichloromethane extract proved the utmost antioxidant activity in cell (WS1) based-assay (IC50=57μg/ml) and interesting anticancer capacity against human lung carcinoma (A-549) and colon adenocarcinoma (DLD-1) cells (IC50=37 and 48μg/ml, respectively). These findings can be attributed to the presence of triterpenes, flavonoids and sterols in Z. album, which are widely known as powerful antioxidants and used in various industrial fields.
{"Chemical": ["dichloromethane", "triterpenes", "flavonoids", "sterols", "saponins", "hexane", "NO"]}