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Open AccessJournal ArticleDOI

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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Journal ArticleDOI

In-line monitoring of the thickness distribution of adhesive layers in black textile laminates by hyperspectral imaging

TL;DR: Near-infrared (NIR) hyperspectral imaging was used for in-line monitoring of thickness and homogeneity of hot melt adhesive layers inside laminates made up of black polyester textiles and reflection spectra were found to correlate with the thickness of the adhesive layersinside the laminate.
Journal ArticleDOI

Use of an NIR MEMS spectrophotometer and visible/NIR hyperspectral imaging systems to predict quality parameters of treated ground peppercorns

TL;DR: In this paper, the potential of a micro-electromechanical NIR spectrophotometer (NIR-MEMS) and visible (Vis)/NIR hyperspectral imaging (HSI) systems to predict the moisture content, antioxidant capacity (DPPH, FRAP) and total phenolic content (TPC) of treated ground peppercorns were investigated.
Book ChapterDOI

An overview of regression methods in hyperspectral and multispectral imaging

TL;DR: This chapter revises the most common linear methods together with a brief overview of nonlinear methods applied in the regression framework from a practical point of view, focused on applications in food and pharmaceutical production.
Journal ArticleDOI

Monitoring of the residual moisture content in finished textiles during converting by NIR hyperspectral imaging.

TL;DR: It was demonstrated that the developed analytic methods for in-line monitoring of the moisture content were capable of detecting and visualizing inhomogeneous moisture distributions and resulted in a very close correlation with the corresponding gravimetric reference values.
Journal ArticleDOI

Quantification of protein in wheat using near infrared hyperspectral imaging: Performance comparison with conventional near infrared spectroscopy

TL;DR: In this article, the advantages of near-infrared spectroscopy and imaging technologies are combined for hyperspectral imaging studies focusing on qualitative analysis, which is a powerful technique.
References
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Book

Infrared Spectroscopy: Fundamentals and Applications

TL;DR: In this paper, the authors present a set of techniques for detecting anomalous infrared spectra, including Fourier Transform Infrared Spectrometers (FTIS) and Spectral Spectral Transform Transform (STT) this paper.
Book ChapterDOI

The Generalization of Student’s Ratio

TL;DR: In this article, the distribution at which Student arrived was obtained in a more rigorous manner in 1925 by R.A. Fisher, who at the same time showed how to extend the application of the distribution beyond the problem of significance of means, which had been its original object, and applied it to examine regression coefficients and other quantities obtained by least squares, testing not only the deviation of a statistic from a hypothetical value but also the difference between two statistics.
Journal ArticleDOI

Hyperspectral imaging – an emerging process analytical tool for food quality and safety control

TL;DR: HSI equipment, image acquisition and processing are described; current limitations and likely future applications are discussed; and recent advances in the application of HSI to food safety and quality assessment are reviewed.
Journal ArticleDOI

Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment

TL;DR: The different technologies available to acquire the images and their use for the non-destructive inspection of the internal and external features of these products are explained, with details of the statistical techniques most commonly used for this task.
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Frequently Asked Questions (1)
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.