Assessment of porcine meat quality at the slaughter line using raman spectroscopy

Fresh intact porcine semi-membranosus muscles (N=151) were measured between 30 and 60 min post mortem along the slaughter line of a commercial abattoir using a hand held device to determine the ability of Raman spectroscopy to predict meat quality. Technologically mportant quality traits such as pH35, pH24 and drip loss (DL) were measured using classical reference analysis and they were correlated with the Raman spectra using partial least squares regression. Predicting pH35, pH24and DL yielded a coefficient of determination of 0.75, 0.58 and 0.83 and a root mean square error of cross validation of 0.09 pH-units, 0.05 pH-units and 0.6 %, respectively. For the models, Raman signals of energy metabolites such as lactate, phosphate, ATP and phosphocreatine were weighted. This is the first Raman pectroscopic study to measure and predict quality traits in intact muscles along the slaughtering process showing the potential of early postmortem Raman spectra to measure pH35 and to predict pH24 and DL

Post-rigor assessment of porcine meat quality applying a portable raman system

This contribution presents new results forthe non-invasive quality assessment of porkusing a prototypehandheld Raman device. Earlier work has shown that pH45, pH24and drip loss can be predicted 0.5-2h after slaughter with this device. Likewise, it is of interest to evaluate thepotential of Raman spectra measured post rigor. Therefore, Raman spectra, pH values, color, drip loss and cooking loss of137 porcine longissimus thoracis muscleswere measured. The spectra correlated well with the pH24(R²cv=0.7 and 0.82, for puncture andsurface electrode, respectively)and L* (R²cv=0.67).Thecorrelationswith cooking loss3 and 7 days p.m. and with drip loss were less precise(R²cv=0.33, 0.41and 0.29, respectively). Thus, mobile Raman spectroscopy can measure important technological quality traits during deboning, but the predictive power is reduced compared to using pre-rigor spectra

Prediction of pork quality at the slaughter line using a portable Raman device

Raman spectroscopy is providing a fingerprint of the early postmortem metabolism in meat. In this study, for the first time, Raman spectroscopy is shown to measure and predict quality traits of intact muscles at the slaughtering process. Porcine semimembranosus muscles (N = 151) were measured 30–60 min post mortem at the veterinarian line of a commercial abattoir using a prototype handheld Raman device. The Raman spectra were regressed against technologically important quality traits as measured with classic reference methods. Predicting pH35, pH24 and drip loss with PLSR yielded coefficients of determination of 0.75, 0.58 and 0.83 and root mean square errors of cross validation of 0.09, 0.05 and 0.6%, respectively. This is demonstrating the on-line potential of early postmortem Raman spectra to measure pH35 and to predict pH24 and drip loss

SOL-GEL-BASED SERS SUBSTRATES FOR THE DETECTION OF PROPIONIC ACID

Author Institution: Istanbul University, Faculty of Science, Physics Department, 34134 Vezneciler, Istanbul, Turkey; Technical University of Istanbul, Faculty of Science and Letters,; Physics Engineering Department, 80626 Maslak, Istanbul, Turkey; Institute fur Optik und Atomare Physik, Technical University Berlin, Hardenbergstrasse 36, 10623 Berlin, GermanySurface-enhanced Raman Scattering (SERS), using silver, gold, or other noble metals as substrate, compared with the traditional Raman technique, is a powerful in-situ technique for trace analysis in the environment. One of the important applications of SERS is the trace analysis in sea water. To understand the complex SERS spectra measured in sea water, there is a need to investigate the SERS spectra of possible chemicals in sea water. Short-chain fatty acids may be one of the members of these chemicals. These acids are metabolite of bacteria at the ocean floor. In this work, the SERS spectra of propionic acid and the interaction of propionic acid with a sol-gel embedded silver colloid SERS-substrate are investigated. Additionally the dependence of the SERS signal on the concentrations of propionic acid in water dilution is determined