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Preliminary study on the use of near infrared hyperspectral imaging for quantitation and localisation of total glucosinolates in freeze-dried broccoli

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TLDR
In this article, the use of hyperspectral imaging to quantify and localise total glucosinolates in florets of a single broccoli species has been examined Two different spectral regions (vis-NIR and NIR), a number of spectral pre-treatments and different mask development strategies were studied to develop the quantitative models.
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This article is published in Journal of Food Engineering.The article was published on 2014-04-01 and is currently open access. It has received 28 citations till now. The article focuses on the topics: Hyperspectral imaging.

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Citations
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A Review of Mid-Infrared and Near-Infrared Imaging: Principles, Concepts and Applications in Plant Tissue Analysis

TL;DR: This review aims to present a general perspective about near-infrared and mid- Infrared imaging/microspectroscopy in plant research to compare potentialities of these methodologies with their advantages and limitations.
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Hyperspectral imaging technique for evaluating food quality and safety during various processes: A review of recent applications

TL;DR: In this paper, detailed applications of hyperspectral imaging (HSI) system in various food processes are outlined, including cooking, drying, chilling, freezing and storage, and salt curing.
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Recent Progress of Hyperspectral Imaging on Quality and Safety Inspection of Fruits and Vegetables: A Review

TL;DR: Recent advances and applications of Hyperspectral imaging in detecting, classifying, and visualizing quality and safety attributes of fruits and vegetables and the basic principles and major instrumental components are presented.
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Investigation on water status and distribution in broccoli and the effects of drying on water status using NMR and MRI methods

TL;DR: The results of this study show that the low-field NMR and MRI methods can precisely provide the quantitative information of water status inside food materials, and can be used to investigate the effects of food processing on product quality.
Journal ArticleDOI

Facilitated wavelength selection and model development for rapid determination of the purity of organic spelt (Triticum spelta L.) flour using spectral imaging.

TL;DR: Results reveal that spectral imaging integrated with multivariate analysis has good potential for rapidly evaluating the purity of organic spelt flour.
References
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Journal ArticleDOI

Predicting quality and sensory attributes of pork using near-infrared hyperspectral imaging.

TL;DR: Hyperspectral imaging technique was investigated for objective determination of pork quality attributes and indicated that this technique is a potential tool for rapid assessment of Pork quality.
Journal ArticleDOI

Physiological effects of broccoli consumption

TL;DR: A small body of literature is forming suggesting that both indole-3-carbinol and sulforaphane may protect against inflammation, inhibiting cytokine production, and whether cancer, cardiovascular disease, dementia and other diseases of aging can all benefit from a diet rich in broccoli and other crucifers.
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Rapid prediction of moisture content of dehydrated prawns using online hyperspectral imaging system

TL;DR: The overall results of this study revealed the potentiality of hyperspectral imaging as an objective and non-destructive method to obtain the content and distribution of moisture of prawns whose shapes are not round.
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Integrated spectral and image analysis of hyperspectral scattering data for prediction of apple fruit firmness and soluble solids content

TL;DR: In this article, the authors used spectral and image features extracted from the hyperspectral scattering images over the wavelength region of 500-1000 nm, using spectral scattering profile and image analysis techniques.
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Q1. What are the contributions mentioned in the paper "Preliminary study on the use of near infrared hyperspectral imaging for quantitation and localisation of total glucosinolates in freeze-dried broccoli" ?

1 The use of hyperspectral imaging to ( a ) quantify and ( b ) localise total glucosinolates in 2 florets of a single broccoli species has been examined. Two different spectral regions 3 ( vis-NIR and NIR ), a number of spectral pre-treatments and different mask development 4 strategies were studied to develop the quantitative models. The procedure demonstrates potential for the 7 quantitative screening and localisation of total glucosinolates in broccoli using the 9508 1650 nm wavelength range.