Guest Editorial: Enhancing near Infrared Spectroscopy with an Added Spatial Dimension

Manley, Marena; Downey, Gerard

doi:10.1255/jnirs.1021

Cited by 2 publications

(1 citation statement)

References 21 publications

(26 reference statements)

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“…Hyperspectral chemical imaging is a growing field of research for agri-food applications. [9][10][11][12][13] Analysis of the literature in this field shows that many applications make use of sensors which measure in the so-called "visible and near infrared" (vis-NIR) region (< 1000 nm); some use sensors operating in the 900-1700 nm region, while only a few use sensors covering the whole near infrared range up to 2500 nm.…”

Section: Introductionmentioning

confidence: 99%

Detection and Quantification of Ruminant Meal in Processed Animal Proteins: A Comparative Study of near Infrared Spectroscopy and near Infrared Chemical Imaging

Riccioli

Pérez‐Marín

Guerrero-Ginel

et al. 2012

Journal of Near Infrared Spectroscopy

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This study compared the performance of single-point near infrared spectroscopy (NIR) and near infrared chemical imaging (NIR-CI) for the detection and quantification of ruminant meat meal in processed animal proteins (PAPs). A set of 126 fish-meal samples adulterated with controlled amounts (0.25% to 16%) of ruminant meal were analysed using the two techniques. Comparison of results showed that spectra obtained by NIR-CI provided better qualitative information, whereas more accurate quantitative predictions were obtained using NIR spectroscopy. NIR-CI thus offers greater potential for species discrimination/identification, whilst NIR spectroscopy is better suited for the quantification of meal derived from a given species in PAPs. These findings represent a first step in the analysis of mixed-species processed animal proteins and suggest that NIR-CI, by providing valuable information on species origin, is a promising tool that could be used as part of the EU feed control programme aimed at eradicating and preventing Bovine Spongiform Encephalopathy (BSE) and related diseases.

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