Utilization of FT-NIR Spectroscopy to Check Acidity of Various Types of Cheeses.

Background: Monitoring the acidity of cheese is an important control mechanism in various stages of manufacture, including aging. Acid development in cheesemaking is essential to cheese flavor, texture, and safety. Objective: The aim of the work was to develop and validate calibration models by using NIR spectroscopy, which allows for the monitoring of changes in cheese acidity (pH and titration acidity) during cheese ripening. Methods: Cheeses were analyzed by an FT-NIR spectrometer. Each of the samples was analyzed three times, and for calibration, an average spectrum was used. A partial least-squares regression was used to develop calibration models. The constructed calibration models were validating by full cross-validation. Results: Calibration models were created with a high correlation coefficient for the following cheese pH levels: blue cheese (0.966), Olomouc curd read smear cheese (0.984), and fresh goat cheese (0.980). Results of the calibration of titratable acidity are functional for fresh goat cheese (0.953) and mozzarella (0.999). Conclusions: The results of these new calibration methods showed the possibility of NIR technology for the fast determination of pH and titratable acidity. Highlights: Detection of cheese acidity using FT-NIR spectrometry enables rapid evaluation of the process of lactic acidification in particular cheese technological operations, including the maturing of cheeses.

Influence of Sample Temperature for Measurement Accuracy with FT-NIR Spectroscopy.

This study monitored the influence of milk samples temperature on the measuring accuracy of FT-NIR spectroscopy in milk content analysis. Reference methods were used to determine dry matter, fat, protein, and lactose content in cow's milk. Milk samples were measured in reflectance mode on an integrating sphere with the use of a compression cuvette and a transflectance cuvette, ensuring a beam trajectory length of h = 0.2 mm. The samples were measured at 18, 20, 22, 24, and 40°C, and analyses were performed at 100 scans at a resolution of 8 cm-1. The measurements were influenced by the temperatures of the samples during the evaluation of all analyzed constituents (P < 0.05). Our results confirmed that the accurate determination of milk constituents requires maintaining, during analysis, the temperature conditions of the samples and the conditions for which the spectrophotometer calibration was designed.

Accuracy of the FT-NIR Method in Evaluating the Fat Content of Milk Using Calibration Models Developed for the Reference Methods According to Röse-Gottlieb and Gerber.

The study examined the effect of the choice of reference method on the functionality and reliability of calibrations in near-IR (NIR) spectroscopy intended for measuring the fat content in raw cow's milk. The fat content in the milk samples was evaluated using methods according to either Röse-Gottlieb or Gerber. The same samples were then subjected to analysis on an Antaris FT-NIR spectrometer. Using a partial least-squares algorithm, calibration models were created for both methods from the values measured. The calibration models show very good values of standard error of calibration: 0.133 for the Gerber method and 0.095 for the Röse-Gottlieb method. These calibrations were subsequently used to analyze 30 new samples of cow's milk of undefined fat content, and the differences in the values were evaluated using statistical paired t-test to a median value at a probability level of α = 0.05. No statistically significant differences were found. It was revealed that the reference method used for calibrating the device evaluating the fat content in raw cow's milk has no effect on the functionality and reliability of the calibration model.

Comparison of FT-NIR Spectroscopy and ELISA for Detection of Adulteration of Goat Cheeses with Cow's Milk.

This study investigated the ability of two methods to detect adulteration of goat cheeses via the addition of cow's milk, with a negligible effect on the raw materials. Cheeses were produced from a mixture of goat's and cow's milk and were then analyzed by Fourier transform near-IR (FT-NIR) spectroscopy and competitive ELISA. The cheese spectra were scanned in the spectroscope in reflectance mode on an integrating sphere at 80 scans and a resolution of 4 cm(-1). The spectra were evaluated via discriminant analysis, and a calibration was created via a partial least-squares algorithm to quantify the cow's milk admixture. A correlation coefficient of R = 0.999 was reached with a standard error of calibration of 0.0407. The results were statistically processed to a median value via a t-test. Adulteration detection by the ELISA method was performed using a commercial Milk Fraud/Bovine ELISA kit. It was found that the FT-NIR spectroscopy method is capable of detecting an admixture of cow's milk in goat cheese as small as 1%. The ELISA method did not return satisfactory results for the detection of adulteration with cow's milk.

Chemical and physical characteristics of lamb meat related to crossbreeding of Romanov ewes with Suffolk and Charollais sires.

The aim was to evaluate the effects of crossbreeding Romanov (RO) ewes with Suffolk (SF) and Charollais (CH) sires on the chemicophysical characteristics and FA profile of the Quadriceps femoris muscle (QFM) in lambs fattened under organic conditions. The experimental animals were male lamb twins of two different crossbreds; CH 50 RO 50 and SF 50 RO 50. Lambs were slaughtered at an average live weight of 31kg. CH 50 RO 50 displayed higher contents of dry matter and intramuscular fat of the QFM. A lower pH value of CH 50 RO 50 was reflected in an increase of WHC. Meat of SF 50 RO 50 lambs had more lightness (L*) and yellowness (b*). The CH 50 RO 50 genotype showed a significantly higher proportion of C18:3n-3cis and n-3 PUFA than the SF 50 RO 50 genotype. The genotype also affected the Δ(9)-desaturase (16) index.