In general, we need N =30 for a t-test to make it similar to Z-test. Following this principle, we need at least n=15 for each experiment group. For example, if you have one control group and two experimental groups, you need at least n =45 (15*3= 45). However, the bigger sample size, the better to get significant results since t-distribution also can vary sample size. Hope this is helpful.