Literature DB >> 19200093

A near-infrared (NIR) technique for imaging food materials.

P Pallav1, G G Diamond, D A Hutchins, R J Green, T H Gan.   

Abstract

The results of imaging experiments in food materials are presented, using near-infrared wavelengths. The technique uses a modulated source and a lock-in amplifier detection circuit to give a high sensitivity to changes in through-transmission signal levels. This is shown to lead to a set of images, whereby the internal content of various foods can be imaged. Examples are presented of the detection of foreign bodies, both metallic and nonmetallic, to illustrate the imaging performance.

Mesh:

Year:  2009        PMID: 19200093     DOI: 10.1111/j.1750-3841.2008.01011.x

Source DB:  PubMed          Journal:  J Food Sci        ISSN: 0022-1147            Impact factor:   3.167


  3 in total

1.  Hyperspectral Imaging for Predicting the Internal Quality of Kiwifruits Based on Variable Selection Algorithms and Chemometric Models.

Authors:  Hongyan Zhu; Bingquan Chu; Yangyang Fan; Xiaoya Tao; Wenxin Yin; Yong He
Journal:  Sci Rep       Date:  2017-08-10       Impact factor: 4.379

2.  Evaluation of some non-invasive approaches for the detection of red palm weevil infestation.

Authors:  Khawaja Ghulam Rasool; Mureed Husain; Shehzad Salman; Muhammad Tufail; Sukirno Sukirno; Khalid Mehmood; Wazirzada Aslam Farooq; Abdulrahman S Aldawood
Journal:  Saudi J Biol Sci       Date:  2019-10-30       Impact factor: 4.219

3.  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

  3 in total

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