Quantitative analysis of lard in animal fat mixture using visible Raman spectroscopy

[Display omitted] •Representative peaks of visible Raman spectra for 4 animal fats were investigated.•Peak ratios were manipulated to find the most efficient feature for classification.•“Oil gauge (OG)” was suggested as a value for classifying animal fats.•Quantification of lard in animal fat mixture was successfully performed using OG. Food adulteration is a serious issue that requires verification and strict management due to healthcare, morality, and social value problems. In the context of fat, food manufacturers blend lard with vegetable oils or animal fats for convenience and gaining economic benefits. Thus, we herein report the classification of 4 animal fats, e.g., beef tallow, pork lard, chicken fat, duck oil, using Raman spectroscopy combined with simple calculation of intensity ratios of Raman signal at vibrational modes corresponding to unsaturated fatty acids and total fatty acids. Various calculated values of the species were compared to find a feature that is able to classify each fats using Raman peak ratio. As a result, we suggested “Oil gauge (OG)” as a standard feature for classification of the fats in Raman analysis field. Furthermore, a quantification of the lard in other fat was accomplished with good linear correlation using the OG values.