The statement "the sample suggests that the food is safe, but it actually is not safe" is an example of a Type II error.
A Type II error occurs when the null hypothesis (in this case, that the food is safe) is not rejected, even though it is false (in this case, the food is actually not safe). In other words, the inspector has failed to identify a problem with the food when there actually is one.
On the other hand, a Type I error would occur if the inspector falsely concludes that the food is not safe when it actually is safe, i.e. rejecting the null hypothesis when it is true.