Versatile band-pass filters for fluorescence imaging of the food products for quality assessment

Abstract

Determination of food quality using fluorescence measurements has been achieved with high accuracy in many previous studies. However, the use of fluorescence measurements for determining the quality of food products and authenticating them remains limited due to the high cost involved. In this study, we propose versatile band-pass filters for fluorescence imaging of food products for quality assessment by simulation. The results showed that the proposed band-pass filters have similar accuracies to previously reported methods and are practical in most cases such as estimating aflatoxin contamination in nutmeg, inosine 5′-monophosphate (IMP) in frozen fish, and the geographical origin of mangos. Furthermore, these filters can reduce the number of variables in the prediction model and are thereby expected to reduce the measurement time and filter cost when applied to actual imaging systems.