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:

Effects of blanching on polyphenol stability of innovative paste-like parsley (Petroselinum crispum (Mill.) Nym ex A. W. Hill) and marjoram (Origanum majorana L.) products. Fresh herbs were water- and steam-blanched at 90-100°C and 100°C, respectively, for 1-10 min and 30 s to 7 min for parsley and marjoram, respectively, and subsequently minced to obtain a paste. For the first time, phenolic compounds of unheated marjoram were characterised by high-performance liquid chromatography coupled to mass spectrometry (HPLC-MS). Hereby, 10 phenolics were detected. Among them, apigenin-glucuronide, lucenin-2 and lithospermic acid were tentatively identified for the first time. In unheated parsley, apart from the major compound apiin, 10 further phenolics were characterised including several p-coumaric acid derivatives which were newly detected. Except for apiin, short-time steam- and water-blanching (1 min), respectively, did not cause significant losses of phenolic compounds, and thus proved to be the most suitable measures to ensure polyphenol retention. Consequently, blanching is a recommendable initial operation in the processing of parsley and marjoram into novel paste-like products.
{"Chemical": ["phenolic", "apigenin-glucuronide", "apiin", "lithospermic acid", "phenolics", "polyphenol", "p-coumaric acid", "lucenin-2"]}