Discriminating animal fats and their origins: assessing the potentials of Fourier transform infrared spectroscopy, gas chromatography, immunoassay and polymerase chain reaction techniques

Technical note: Characterization of lipid constitution in Fourier transform infrared spectra and spectroscopic discrimination of animal-derived feedstuffs from different species

The objective of the current work was to assess the capability of Fourier transform infrared (FT-IR) spectroscopy in combination with chemometric methods to discriminate animal-derived feedstuffs from different origins based on the lipid characteristics. A total of 82 lipid samples extracted from animal-derived feedstuffs, comprising porcine, poultry, bovine, ovine, and fish samples, were investigated by gas chromatography and FT-IR. The relationship between the lipid constitutions and the responding FT-IR spectral characteristics were explored. Results indicated that high correlations ( > 0.900) were found between the contents of MUFA and PUFA and FT-IR spectral data. In addition, the peak intensity at about 1,116 and 1,098 cm-1 showed a significant difference ( < 0.05) between ruminant and nonruminant animals; the change of peak ratio (1,116:1,098) was proved consistent with the degree of unsaturation of lipid from different animal species. Successful discrimination was further achieved among porcine, poultry, bovine, and ovine meat and bone meal (MBM) and fishmeal based on lipid characteristics by applying the FT-IR spectra coupled with chemometrics, for which the values of sensitivity and specificity were close to 1 and classification error were almost equal to 0.

Study on the Characteristic Spectral Properties for Species Identification of Animal-Derived Feedstuff Using Fourier Transform Infrared Spectroscopy

The objective of the present study was to explore the effective spectral bands related to lipid characteristics in spectra of raw animal-derived feedstuff and figure out which marked spectral regions (single or combined) contributed more to species discrimination. A total of 82 meat and bone meals, including porcine, poultry, bovine, ovine, and fish, were studied. Raw materials, extracted lipid, and defatted samples were simultaneously analyzed and calculated using Fourier transform infrared (FT-IR) spectroscopy in combination with chemometric methods. Taking the spectra of lipid as references, five marked spectral regions considered the main lipid characteristic regions were found in the raw animal-derived feedstuff spectra. In the study, single and combined marked spectral bands were investigated and proved to have better performance than the whole spectra of raw terrestrial animal-derived feedstuff and fishmeal. For the discrimination of five animal species, the regions of 1800-1650 cm^-1, 1500-1330 cm^-1, 1260-1060 cm^-1, and 790-640 cm^-1 presented better results; for the classification of three categories, the regions of 3100-2800 cm^-1, 1800-1650 cm^-1, and 1500-1330 cm^-1 showed the best results.

Rapid detection of bovine adipose tissue using lateral flow strip assay

Currently no rapid immunoassays are developed to identify the species content of fat tissue in mixtures. We report a simple protocol enabling the effective detection of bovine fat in highly processed materials using a lateral flow (LF) immunoassay which targets a ruminant-specific muscle protein. A portion (50 gm) of muscle-free fat samples was rendered to separate the molten fat from the proteinaceous residue, then soluble proteins were extracted from the solid residue with 0.5 mol/L NaCl for the LF analysis. The assay could detect 2% bovine fat-in-pork fat, 1% bovine fat-in-porcine meat-and-bone meal, and 0.5% bovine fat-in-soy meal mixtures. Rendered bovine fat could be detected up to 213°C. These results demonstrate that low levels of bovine fat tissue can be detected in processed materials using an immunoassay based on the presence of the muscle protein which serves as a species marker in the fat tissue.

Species identification of cattle and buffalo fat through PCR assay

A method was standardized to isolate quality DNA from cattle and buffalo fat for species identification using QIAamp DNA stool mini kit. The quality of the DNA was sufficient enough to amplify universal primers viz., mt 12S rRNA and mt 16S rRNA, and species specific D loop primers for cattle and buffalo. The sensitivity of the PCR assay in the species specific D loop primer amplification was with a detection level of 0. 47 ng cattle DNA and 0.23 ng buffalo DNA in simplex and, 0. 47 ng cattle DNA and 0.12 ng buffalo DNA in duplex PCR. It is a potentially reliable method for DNA detection to authenticate animal fat.

Differentiation of animal fats from different origins: use of polymorphic features detected by Raman spectroscopy

Food safety requires the development of reliable techniques that ensure the origin of animal fats. In the present work, we try to verify the efficacy of using the polymorphic features of fats for discriminating animal-fat origins. We use Raman spectroscopy to collect the structural information of fat crystals. It is shown that a single Raman band at 1417 cm(-1) successfully differentiates pork fats from beef fats. This band is known to be characteristic of the β'-polymorph of fats. Pork fats show this band because they contain the β'-polymorph after rapid cooling to 0 °C. In beef-pork-fat mixtures, this band is not detected even in the presence of 50% pork fat; an addition of beef fat to pork fat is likely to produce a mixed fat with a completely different polymorphic behavior. This method seems to have the potential to detect beef products contaminated with pork-adipose tissue.

Assessment of the levels of degradation in fat co- and byproducts for feed uses and their relationships with some lipid composition parameters

This paper discusses the levels of degradation of some co- and byproducts of the food chain intended for feed uses. As the first part of a research project, "Feeding Fats Safety", financed by the sixth Framework Programme-EC, a total of 123 samples were collected from 10 European countries, corresponding to fat co- and byproducts such as animal fats, fish oils, acid oils from refining, recycled cooking oils, and other. Several composition and degradation parameters (moisture, acid value, diacylglycerols and monoacylglycerols, peroxides, secondary oxidation products, polymers of triacylglycerols, fatty acid composition, tocopherols, and tocotrienols) were evaluated. These findings led to the conclusion that some fat by- and coproducts, such as fish oils, lecithins, and acid oils, show poor, nonstandardized quality and that production processes need to be greatly improved. Conclusions are also put forward about the applicability and utility of each analytical parameter for characterization and quality control.

Detection of ruminant meat and bone meals in animal feed by real-time polymerase chain reaction: result of an interlaboratory study

The commercialization of animal feeds infected by prions proved to be the main cause of transmission of bovine spongiform encephalopathy (BSE). Therefore, feed bans were enforced, initially for ruminant feeds, and later for all feeds for farmed animals. The development and validation of analytical methods for the species-specific detection of animal proteins in animal feed has been indicated in the TSE (Transmissible Spongiform Encephalopathies) Roadmap (European Commission. The TSE (Transmissible Spongiform Encephalopathy) roadmap. URL: http://europa.eu.int/comm/food/food/biosafety/bse/roadmap_en.pdf, 2005) as the main condition for lifting the extended feed ban. Methods based on polymerase chain reaction (PCR) seem to be a promising solution for this aim. The main objective of this study was to determine the applicability of four different real-time PCR methods, developed by three National expert laboratories from the European Union (EU), for the detection and identification of cattle or ruminant species in typical compound feeds, fortified with meat and bone meals (MBM) from different animal species at different concentration levels. The MBM samples utilized in this study have been treated using the sterilization condition mandatory within the European Union (steam pressure sterilization at 133 degrees C, 3 bar, and 20 min), which is an additional challenge to the PCR methods evaluated in this study. The results indicate that the three labs applying their PCR methods were able to detect 0.1% of cattle MBM, either alone or in mixtures with different materials such as fishmeal, which demonstrates the improvement made by this technique, especially when compared with results from former interlaboratory studies.

Effective PCR detection of animal species in highly processed animal byproducts and compound feeds

In this paper we present a polymerase chain reaction (PCR)-based method for detecting meat and bone meal (MBM) in compound feedingstuffs. By choosing adequate DNA targets from an appropriate localisation in the genome, the real-time PCR method developed here proved to be robust to severe heat treatment of the MBM, showing high sensitivity in the detection of MBM. The method developed here permits the specific detection of processed pig and cattle materials treated at 134 degrees C in various feed matrices down to a limit of detection of about 0.1%. This technique has also been successfully applied to well-characterised MBM samples heated to as high as 141 degrees C, as well as to various blind feed samples with very low MBM contents. Finally, the method also passed several official European ring trials.