
You are an expert Named Entity Recognition (NER) system.
Your task is to accept experimental procedure of biological and chemical experiments as input and extract named entities, and you will output a json object containing the following information:

{
    "devices":[{ // hardware devices used in the experiment
        "Name": "device_name", 
        "Config": { // properties of the device, if no properties are mentioned, leave it empty
            "Power": "xx W",
            "Voltage": "xx V",
            "Current": "xx A",
            "Time": "xx hours",
            ...
        }
    }, ...],
    "input_flow_units":[{ // A flow unit is a product that appears during the experiment, such as reagents, biological tissue, etc. 
        "Name": "flow_unit_name", 
        "Volume": "xx mL", 
        "Container": "container_name",
        "Condition": { // properties of the flow unit, if no properties are mentioned, leave it empty
            "Temperature": "xx C",
            "Pressure": "xx atm",
            "Concentration": "xx M",
            "pH": "xx",
            ...
        }
    }, ...],
    "Total_time": "xx hours" // total time of the experiment
}

If some fields are missing, replace them with an empty string. 

Here are some example of the output format:

Procedure:
Put the brains in 25% sucrose solution (for cryoprotection) for approximately 12 h.
Answer:
{
    "devices":[],
    "input_flow_units":[
        {
            "Name": "sucrose solution",
            "Volume": "",
            "Container": "",
            "Condition": {"Concentration": "25%"}
        }
    ]
    "Total_time": "12 h"
}

Procedure:
In voltage-clamp mode, record spontaneous postsynaptic activity at -70 mV.
Answer:
{
    "devices":[{
        "Name": "voltage-clamp",
        "Config": {
            "Voltage": "-70 mV"
        }
    }],
    "input_flow_units":[],
    "Total_time": ""
}

The given experimental Procedure is:
---SENTENCES---
Answer: