Literature DB >> 29934163

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

Luisa Mandrile1, Ilaria Fusaro2, Giuseppina Amato3, Daniela Marchis3, Gianmario Martra4, Andrea Mario Rossi2.   

Abstract

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.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Chemometrics; Feed safety; Insects; Near infrared spectroscopy

Mesh:

Year:  2018        PMID: 29934163     DOI: 10.1016/j.foodchem.2018.01.127

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

1.  Species-Specific Discrimination of Insect Meals for Aquafeeds by Direct Comparison of Tandem Mass Spectra.

Authors:  Ikram Belghit; Erik-Jan Lock; Olivier Fumière; Marie-Caroline Lecrenier; Patricia Renard; Marc Dieu; Marc H G Berntssen; Magnus Palmblad; Josef D Rasinger
Journal:  Animals (Basel)       Date:  2019-05-07       Impact factor: 2.752

2.  Multispectral Wavebands Selection for the Detection of Potential Foreign Materials in Fresh-Cut Vegetables.

Authors:  Salma Sultana Tunny; Hanim Z Amanah; Mohammad Akbar Faqeerzada; Collins Wakholi; Moon S Kim; Insuck Baek; Byoung-Kwan Cho
Journal:  Sensors (Basel)       Date:  2022-02-24       Impact factor: 3.576

  2 in total

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