Literature DB >> 19094259

The principles, practices and some future applications of near infrared spectroscopy for predicting the nutritive value of foods for animals and humans.

D I Givens1, J L De Boever, E R Deaville.   

Abstract

The current application and future potential of near infrared (NIR) spectroscopy in the evaluation of foods for domesticated animals and humans is enormous. Where used, NIR spectroscopy has revolutionized the analysis and nutritional evaluation of animal feeds and human foods by providing a rapid means of examination. The availability of accurate and rapid methods of evaluation is becoming increasingly important to meet the nutritional requirements of animals for meat, milk, wool and egg production. This is essential for efficient and economic animal production, to maintain animal health and to minimize environmental impact. Accurate evaluation methods are also needed in relation to national and international legislation that regulates the circulation, trade and inspection of foods and feeds, aids effective functioning of the market and guards the safety of animals and humans. The aim of this review is to outline the theory and principles of NIR spectroscopy and to focus primarily on its application in the field of animal nutrition. The vital role NIR spectroscopy is playing in the prediction of biologically meaningful feed characteristics, including data derived in vivo, is demonstrated particularly through its application to forage evaluation, but also in the examination of raw materials and compound feeds. While the applications of NIR spectroscopy to different foods and drinks are extensive, this review gives an overview only of selected reported applications including its use for predicting nutritive value (mainly water, protein, fat, sucrose and starch content), monitoring food processing and for food authentication. The review provides clear evidence that the future application of NIR spectroscopy will undoubtedly increase, playing a vital role in the authentication of the quality and origin of foods and feeds and enabling the complex methods of feed evaluation required in the future to be put into widespread use.

Entities:  

Year:  1997        PMID: 19094259     DOI: 10.1079/NRR19970006

Source DB:  PubMed          Journal:  Nutr Res Rev        ISSN: 0954-4224            Impact factor:   7.800


  6 in total

1.  Non-destructive NIR spectral imaging assessment of bone water: Comparison to MRI measurements.

Authors:  Chamith S Rajapakse; Mugdha V Padalkar; Hee Jin Yang; Mikayel Ispiryan; Nancy Pleshko
Journal:  Bone       Date:  2017-06-28       Impact factor: 4.398

Review 2.  Updated Overview of Infrared Spectroscopy Methods for Detecting Mycotoxins on Cereals (Corn, Wheat, and Barley).

Authors:  Cecile Levasseur-Garcia
Journal:  Toxins (Basel)       Date:  2018-01-10       Impact factor: 4.546

3.  Determination of soybean routine quality parameters using near-infrared spectroscopy.

Authors:  Zhenying Zhu; Shangbing Chen; Xueyou Wu; Changrui Xing; Jian Yuan
Journal:  Food Sci Nutr       Date:  2018-04-17       Impact factor: 2.863

4.  Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content.

Authors:  Francisco Javier Ancin Murguzur; Marjorie Bison; Adriaan Smis; Hanna Böhner; Eric Struyf; Patrick Meire; Kari Anne Bråthen
Journal:  Sci Rep       Date:  2019-06-04       Impact factor: 4.996

5.  Multivariate method for prediction of fumonisins B1 and B2 and zearalenone in Brazilian maize using Near Infrared Spectroscopy (NIR).

Authors:  Denize Tyska; Adriano Olnei Mallmann; Juliano Kobs Vidal; Carlos Alberto Araújo de Almeida; Luciane Tourem Gressler; Carlos Augusto Mallmann
Journal:  PLoS One       Date:  2021-01-07       Impact factor: 3.240

6.  MRI-derived bone porosity index correlates to bone composition and mechanical stiffness.

Authors:  Abigail L Hong; Mikayel Ispiryan; Mugdha V Padalkar; Brandon C Jones; Alexandra S Batzdorf; Snehal S Shetye; Nancy Pleshko; Chamith S Rajapakse
Journal:  Bone Rep       Date:  2019-06-26
  6 in total

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