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:

A Serum-Resistant Low-Generation Polyamidoamine with PEI 423 Outer Layer for Gene Delivery Vector. A new derivative of polyamidoamine and polyethylenimine, G2.5-PEI 423 or G1.5-PEI 423, is prepared by an amidation reaction of PAMAM G2.5 or PAMAM G1.5 using PEI 423. The polycations show a great ability to combine with pDNA to form complexes, which protect the pDNA from nuclease degradation. The polymers display stronger buffer capacity and lower cytotoxicity. The complexes have particle sizes of 120-180 nm and zeta potentials of 20-40 mV. The G2.5-PEI 423 complexes display much higher transfection efficiencies than PAMAM G5 and Lipo-2k, and the G1.5-PEI 423 complexes display higher transfection efficiencies than PAMAM G4 and PEI-25k. The complexes possess better serum-resistant capacity. The G2.5-PEI 423 has a great potential to be used as a serum-resistant gene vector.
{"Chemical": ["polyethylenimine", "PAMAM", "PEI 423", "polyamidoamine", "PEI", "Polyamidoamine"]}