News last update:6 Aug 2012

NIR can detect MBM in fish meal

Researchers of the College of Engineering of the China Agricultural University in Beijing have calibrated NIRS parameters to detect meat and bone meal contaminations in fish meal.

The use of animal protein feeds such as meat meal or meat and bone meal (MMBM) play an important role in the feed manufacturing industry, but their safe and healthy use in animal feeds is of public concern in order to prevent the spread of bovine spongiform encephalopathy (BSE).

The objective of the present work was to develop a technique using near infrared reflectance spectroscopy (NIRS) that would be suitable for detecting and quantifying contaminating levels of MMBM in fishmeal.

How it works
The researchers developed an analysis, using visible and NIRS, with a calibration set of 186 samples including 90 samples of pure fishmeal and 96 samples adulterated with MMBM at levels ranging from 10 to 320 g/kg. An external validation set, comprised of 39 pure samples and 54 adulterated samples, was used to validate the calibration model. A PLS discriminant analysis model and a MPLS quantitative model successfully detected fishmeal adulterated with MMBM. External validation indicated that all samples were discriminated correctly.

The calibration and validation results confirm that NIRS could provide the feed industry and inspection bodies with a rapid, non-destructive and non-invasive technique for the detection and quantification of MMBM in fishmeal.

Abstract: Detecting and quantifying meat meal or meat and bone meal contamination in fishmeal by visible and near infrared reflectance spectra, Zengling Yang, Lujia Han, Xian Liu, and Qiongfei Li - College of Engineering, China Agricultural University, Beijing 100083, China.

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