These concerns raise questions of quality control up and down the food-production chain. Unfortunately, determining food quality has often been based on experts’ empirical knowledge or on time-consuming and expensive laboratory analytical methods. Currently parameters monitored and documented on-line are limited. Temperature and time, for instance, are a few that can be recorded with (radio frequency identification) RFID tags.
However, in situ methods of characterizing food’s status in terms of “edible,” “ripened” or “spoiled” are scarce to non-existing. What’s needed are techniques capable of fast, non-invasive and through-packaging monitoring. Optical means, especially laser spectroscopic methods, are one solution to the problem.
Project FreshScan
“FreshScan," a research project funded by the German Bundesministerium für Bildung und Forschung consisting of five institutes¹ have joined to demonstrate the feasibility of using miniaturized optical sensor systems to monitor food quality using meat as an example. Because correlations between the spectroscopic features and the status of the meat (ripeness and spoilage) need to be established, time dependant spectroscopic measurements were employed using pork as a test sample, which was stored under well defined conditions.
At the same time, laboratory analytical methods were applied for reference analyses. Raman spectroscopy was selected because its fingerprinting capability and fluorescence provided selectivity and sensitivity. Another task was to develop a handheld scanner for the optical in situ measurement. Here, the work concentrated on the design and development of suitable excitation light sources, specific optical transducers (so called optodes), and detection schemes.
For the project we designed a Raman optode that contains a compact wavelength-stabilized micro-system diode laser. Spectroscopic measurements on meat proved the capability of the concept and the ability to probe the protein matrix and monitor changes in meat during storage time even through the packaging.
Designed Especially for Meat
The Raman optode was designed especially for measurements of raw meat integrating the micro bench ECL into the probe head. Using lenses and mirrors, the laser is focused on the sample. The backscattered light is collected and the excitation wavelength is blocked with filters. Only the Raman signal is focused into a fiber, which guides the light into a compact spectrometer with a resolution of about 10 cm-1.
The aging of meat (ripening and the spoilage) was also studied. The meat was stored at 5 °C. Raman spectra were recorded at different ages. The measured Raman spectra are shown in Figure 2. The biochemical and physical changes are leading to complex spectral changes, which cannot be seen directly and had to be evaluated with chemometrical methods. Principal components analysis (PCA)2,3 of the Raman data can identify changes of structure and composition of the protein matrix. This allowed us to distinguish ripened meat and incipient spoilage between day 8 and 10 for the storage at 5 °C. This result corresponded with reference analyses using conventional laboratory analytical methods.
2 K. R. Beebe, R. J. Pell, M. B. Seasholtz, Chemometrics: A practical guide, John Wiley and Sons, New York, 1st edition, 1998
3 J. N. Miller, J. C. Miller, Statistics and Chemometrics for Analytical Chemistry, Person Education Limited, Harlow, 5th edition, 2005