Towards a routine application of vibrational spectroscopy to the detection of bone fragments in feedingstuffs: Use and validation of a NIR scanning microscopy method

Pavino, D.; Squadrone, Stefania; Cocchi, Marina; Martra, Gianmario; Marchis, Daniela; Abete, Maria Cesarina

doi:10.1016/j.foodchem.2009.12.092

Cited by 12 publications

(9 citation statements)

References 12 publications

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“…using a mapping system coupled with nIr microscopy or new techniques such as hyperspectral imaging make it possible to overcome this limitation. 61,64,65,66 By using the nIr microscopy mapping option, a quantity of the feed sample is mapped by scanning an area that is divided into equally spaced points in both X and Y directions, based on a scan interval adapted to the size of the fraction (<250 µm). Spectra are automatically collected at these points.…”

Section: Mapping and Imagingmentioning

confidence: 99%

“…nIr hyperspectral imaging systems have been proposed for successfully detecting MBM in feed in combination with decision rules or chemometric discriminant equations. 49,61,64,65 the recent success of nIr hyperspectral imaging can be attributed to a combination of various factors: (1) a non-destructive method, (2) digitally tuneable infrared optical filters and (3) a drastic increase in both the speed and capacity of laboratory computing platforms. a framework for developing and validating an nIr hyperspectral imaging method as a standard protocol has been proposed.…”

Section: Mapping and Imagingmentioning

confidence: 99%

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The Potential of near Infrared Microscopy to Detect, Identify and Quantify Processed Animal by-Products

Yang

Han

Pierna

et al. 2011

Journal of Near Infrared Spectroscopy

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all rights reserved feedstuffs are composed of feed materials derived from products of vegetal, animal or mineral origin. they are used in their natural state or have been processed. In the case of feed materials of animal origin, the process of transforming animal by-products into valuable products [for example, meat and bone meal (MBM) and fat] is called "rendering". In ec regulation 1774/2002, 1 these products are called processed animal proteins (paps), but only pap material from category 3, which consists of animal by-products that are fit for human consumption, can be used to feed farm animals. under this definition, paps do not include blood products, milk or milkbased products, colostrum, gelatine, hydrolysed proteins and dicalcium phosphate. of all the materials listed in category 1 or category 2, MBM is one of the most important paps among the processed animal by-products derived from the processing because of its quantity and market value. MBM is defined in commission directive 98/67/ec as "the product obtained by heating, drying and grinding whole or parts of warm-blooded land animals from which the fat might have been partially extracted or physically removed". the product should be substantially free of hooves, horn, bristle, hair and feathers, as well as digestive tract content. 2 for more than 10 years, MBM has been the focal point of the control laboratories and management bodies responsible for addressing the bovine

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Section: Mapping and Imagingmentioning

confidence: 99%

Section: Mapping and Imagingmentioning

confidence: 99%

The Potential of near Infrared Microscopy to Detect, Identify and Quantify Processed Animal by-Products

Yang

Han

Pierna

et al. 2011

Journal of Near Infrared Spectroscopy

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“…Most established methods are optical microscopy and polymerase chain reaction(PCR) in accordance with the Regulation (EC) n° 51/2013 provisions. Besides, near-infrared spectroscopy (NIRS) and near-infrared microscopy (NIRM) (Baeten et al, 2005) were widely tested as a possible automatic screening method for feed evaluation (Pavino et al, 2010).…”

Section: Nir Imaging For Feed Controlmentioning

confidence: 99%

Detection of insect’s meal in compound feed by Near Infrared spectral imaging

et al. 2018

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Insects have recently emerged as a new protein source for both food and feed. Some studies have already demonstrated that insects' meal can be successfully added to animal feed without threaten animals' growth indices. However, effective and validated tests to individuate insects' meal in feed are strongly needed to meet traceability and safety concerns and to support the European legislation under development. Spectroscopic techniques represent valuable rapid and non-destructive methods that can be applied for in-situ analysis in feed production plants or in farms. In this work a Fourier Transform Near Infrared spectroscopy imaging (FT NIR) as a potential screening method for the detection and quantification of insects' meal in feed is presented. Discriminant analysis was used for the automatic recognition of insects' meal fragments into the feed matrix. Moreover, the possibility to quantify insect's meal in feed sample was successfully tested. The proposed method is a rapid and green strategy for feed contamination screening analysis.

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“…The LoD obtained was comparable to the LoD reported for OM and NIRM analysis of bone fragments in animal feed. 6,24,25 Precision. As previously mentioned, to evaluate the intra-laboratory reproducibility of the method, two analysts each evaluated 10 samples fortified at the LoD, and they identified bone fragments in all the cases.…”

Section: Validation Parametersmentioning

confidence: 99%

Detection of animal by-products in bone ashes by near infrared spectroscopy coupled with microscopy

Bertotto

Bello

Binotti

et al. 2018

Journal of Near Infrared Spectroscopy

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Bovine spongiform encephalopathy is a mortal bovine disease. Epidemiologic studies have linked the disease to animal feed contaminated with infected protein. In Argentina, the feeding of bovines with components of animal origin is banned, except for fishmeal and bone ash. Nowadays, optical microscopy is used to analyze animal feed and its components. In this method, technical analytical expertise is very important. This is why the development of a methodology that produces results which can be rapidly and automatically compared is urgently needed. The specific infrared microscopy method presented in this work delivers qualitative results in terms of the presence or absence of animal particles by applying specific decision rules. The object of this work was to assess the methodology of near infrared microscopy for the qualitative determination of the presence of particles of animal origin in matrices of bone ash. The spectra were collected by an image microscope coupled to a Fourier transform infrared spectrometer operating in the reflection mode. Four mappings were done per sample, obtaining 1000 spectra per mapping. They were selected from an area on the slide of 50 particles in the axis X and 20 particles in the axis Y. Spectra were automatically collected at these points. In order to find the fragments of animal origin in the samples, a specific software program was developed. The program analyzed the spectra and evaluated the presence of bone fragments. From the validation results, it could be inferred that 4000 spectra should be observed in order to achieve a detection limit of 0.05 g bone fragments 100 g À1 bone ash. Selectivity, intermediate precision and repeatability were also analyzed with satisfactory results. Therefore, the validated method can be easily applied in routine analysis of bone ashes.

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Towards a routine application of vibrational spectroscopy to the detection of bone fragments in feedingstuffs: Use and validation of a NIR scanning microscopy method

Cited by 12 publications

References 12 publications

The Potential of near Infrared Microscopy to Detect, Identify and Quantify Processed Animal by-Products

The Potential of near Infrared Microscopy to Detect, Identify and Quantify Processed Animal by-Products

Detection of insect’s meal in compound feed by Near Infrared spectral imaging

Detection of animal by-products in bone ashes by near infrared spectroscopy coupled with microscopy

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