How to get the closest datetime object in a list?

I have a list, matched_rows_2 which looks like this:

  [[1   01-01-2021  10:18:00    100 TTF],   
   [2   01-01-2021  10:18:00    100 GGY],   
   [3   01-01-2021  10:22:00    120 HHJ],   
   [4   01-01-2021  10:23:00    160 JJH],   
   [5   01-01-2021  10:26:14    160 RRT],   
   [6   01-01-2021  10:27:59    160 PPO],   
   [7   01-01-2021  10:29:58    100 KKG],
   [8   01-01-2021  10:30:50    160 PPO]]

Now for every x inside above list Im trying to get the x which has a datetime that is the closest to chosen_datetime.

This is my code:

chosen_datetime = 2021-01-01 10:16:00+00:00 #<--- this is a datetime aware time object.

timezone = "Europe/London"
chosen_datetime = pytz.utc.localize(chose_datetime).astimezone(pytz.timezone(timezone))
timeDiff = chosen_datetime.utcoffset().total_seconds()
chosen_datetime = pytz.utc.localize(chosen_datetime + datetime.timedelta(seconds=timeDiff)


matched_rows_3 = []
for x in matched_rows_2:
    start_traject_time = x[1] + ' ' + x[2]
    start_traject_time = datetime.datetime.strptime(start_traject_time, '%d-%m-%Y %H:%M:%S')
    start_traject_time = pytz.utc.localize(start_traject_time)
    if min(start_traject_time, key=lambda d: abs(d -  chosen_datetime)):
        matched_rows_3.append(x)

This the my current output:

    if min(start_traject_time, key=lambda d: abs(d - chosen_datetime)):
TypeError: 'datetime.datetime' object is not iterable

This is my desired output:

1   01-01-2021  10:18:00    100 TTF 
2   01-01-2021  10:18:00    100 GGY 
3   01-01-2021  10:22:00    120 HHJ 
4   01-01-2021  10:23:00    160 JJH  

Please note that my datetime objects are all datetime aware objects, I want to keep it like that.