Abstract #M78
Section: Dairy Foods (posters)
Session: Dairy Foods - Cheese
Format: Poster
Day/Time: Monday 7:30 AM–9:30 AM
Location: Exhibit Hall A
Session: Dairy Foods - Cheese
Format: Poster
Day/Time: Monday 7:30 AM–9:30 AM
Location: Exhibit Hall A
# M78
Development of a rapid method using near-infrared spectroscopy to quantify starch and cellulose present in shredded Asiago, Parmesan, and Romano cheeses.
L. Vázquez-Portalatín*1, T. C. Schoenfuss1, 1University of Minnesota, Saint Paul, MN.
Key Words: near infrared, starch, cellulose
Development of a rapid method using near-infrared spectroscopy to quantify starch and cellulose present in shredded Asiago, Parmesan, and Romano cheeses.
L. Vázquez-Portalatín*1, T. C. Schoenfuss1, 1University of Minnesota, Saint Paul, MN.
Flow-aids consisting of starch and cellulose are added to prevent caking in grated cheeses and are used as carriers for added antimycotics. The accurate quantification of these flow-aids involves difficult wet-chemistry methods. When too little antimycotic is added, quality issues can occur. Conversely, when too much flow-aid is added to dilute the cheese for economic gain, the reputation of the dairy industry is damaged. As a way to prevent the over or underuse of these ingredients, Fourier transform near-infrared spectroscopy (NIR) could be useful. The goal of this research was to investigate whether calibrations could be made to quantify starch and cellulose in Asiago, Parmesan, and Romano cheeses, alone and separately. Samples of asiago, parmesan, and Romano loaves were shredded, and 0 to 5.66% of a starch/cellulose flow-aid was added. Treatments were ground, weighed, formed into a ball and pressed in the middle of the glass Petri dish with a force of 280 N for 1 min to create a homogeneous scanning surface. Samples were scanned using a Buchi NIRFlex N-500 FT-NIR spectrometer (BUCHI Labortechnik AG, CH). NIRCal 5.2 Chemometric Software (BUCHI Labortechnik) was used to analyze the spectra after first dividing the spectra of the 2,367 samples into 1,578 calibrations and 789 validation samples. The spectra were treated with standard normal variate to minimize variations and optimize the calibration. The calibration obtained has an r2 of 0.9906 and a Sdev of 0.1504. Future research will determine if cellulose and starch can be identified and quantified separately in the same sample, and the effect of different starch and cellulose types on quantification.
Key Words: near infrared, starch, cellulose