1. The combined use of GC, PDSC and FT-IR techniques to characterize fat extracted from commercial complete dry pet food for adult cats
- Author
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Andrzej Łozicki, Andrzej Bryś, Joanna Bryś, Tomasz Niemiec, I. Kosieradzka, Klara Zglińska, and Piotr Koczoń
- Subjects
0301 basic medicine ,cat complete food ,030109 nutrition & dietetics ,CATS ,Chromatography ,Chemistry ,Combined use ,pet food ,General Chemistry ,fat quality ,oxidative stability ,Pet food ,03 medical and health sciences ,0302 clinical medicine ,commercial feeds ,030221 ophthalmology & optometry ,Materials Chemistry ,Fourier transform infrared spectroscopy ,QD1-999 - Abstract
This study aims to compare the quality of fat extracted from different priced dry pet food for adult cats through classical and instrumental methods: pressure differential scanning calorimetry (PDSC), Fourier transform infrared spectroscopy (FT-IR) or gas chromatography (GC). Fat extracted from pet food was examined for induction time (IT), fatty acid composition, free fatty acid (FFA) content and peroxide value with the use of PDSC, GC, acid–base and iodometric titration, respectively. FT-IR data from the selected spectral regions correlate with the value of oxidation IT or the content of FFA. This resulted in construction of a reference model for IT with the following statistical features: Rcalibration = 0.917 (RMSEC = 28.0) and Rvalidation = 0.841 (RMSEP = 34.6). For fatty acid content, model statistics were as follows: Rcalibration = 0.912 (RMSEC = 0.61) and Rvalidation = 0.856 (RMSEP = 0.75). Discriminant model that uses spectral data alone, calculated with performance index 83.7 allowed distinguishing the studied pet food samples due to the price. Studies conducted proved PDSC and IR as reliable analytical techniques to control and monitor the quality of dry pet food for cats. Considering quality of the studied samples, it was proved that low-priced pet foods can be stored longer than premium-priced ones, while former is nutritionally more beneficial for adult cats.
- Published
- 2020