You will be presented a sentence from biomedical research text. Extract all terms that correspond to chemical entities of biological interest (ChEBI).
Return your identified terms in a JSON array, formatted like this: ["Entity1", "Entity2", ...].
If no such entities are detected, respond by providing an empty JSON array [].

Biomedical context:
Thecompletereactionmixturecontained(finalvolume1ml)30mMpotassiumphosphatebuffer,pH7.4,0.20mMalpha-ketoisocaproate,0.40mMCoASH,0.40mMthiaminpyrophosphate,2mMNAD+,2mMdithiothreitol,5mMMg2+,approximately250,000DPMofalpha-keto[1-14C]isocaproate,and0.10mlofliverhomogenate(2-3mgprotein).
["potassium", "phosphate", "alpha - ketoisocaproate", "CoASH", "thiamin pyrophosphate", "NAD +", "dithiothreitol", "Mg2 +", "alpha - keto [ 1 - 14C ] isocaproate", "protein"]