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:

Retinal drug delivery using eyedrop preparations of poly-L-lysine-modified liposomes. The purpose of this study was to develop surface-modified liposomes that enhance the efficiency of eye drop drug delivery to the retina. Various molecular weights and concentrations of the water-soluble cationic polymer poly-L-lysine (PLL) were used to modify the surface of submicronized (100 nm) liposomes. Physicochemical properties of surface-modified liposomes were determined in vitro, and the efficiency of drug delivery to the retina was investigated in vivo. Using coumarin-6 as a model drug and fluorescent marker, we show that liposome surface modification by PLL dramatically increased delivery to mouse retina segments after eye drop administration. However, when PLL of high molecular weight (>30,000) was used at higher concentrations (>0.05%), aggregation of surface-modified liposomes increased particle size and hampered distribution to inner ocular tissues. As a result, the efficiency of drug delivery of these aggregated surface-modified liposomes was the same as unmodified liposomes. The optimal molecular weight and concentration of PLL in drug-delivering liposomes were 15,000-30,000 and 0.005%, respectively. Under these conditions, PLL-modified liposomes were not cytotoxic in corneal or conjunctival cells. In conclusion, surface-modified liposomes have great potential as effective retinal drug delivery carriers in eye drop formulations.
{"Chemical": ["poly-L-lysine", "PLL", "coumarin-6"]}