Feasibility Study for Applying Spectral Imaging for Wheat Grain Authenticity Testing in Pasta

Food and Nutrition Sciences

ISSN Print: 2157-944X
ISSN Online: 2157-9458
www.scirp.org/journal/fns
E-mail: fns@scirp.org

Citations

"Feasibility Study for Applying Spectral Imaging for Wheat Grain Authenticity Testing in Pasta"
written by Timothy Wilkes, Gavin Nixon, Claire Bushell, Adrian Waltho, Amer Alroichdi, Malcolm Burns,
published by Food and Nutrition Sciences, Vol.7 No.5, 2016

has been cited by the following article(s):

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[10]	Detection of durum wheat pasta adulteration with common wheat by infrared spectroscopy and chemometrics: A case study
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[15]	Nondestructive Identification of Salmon Adulteration with Water Based on Hyperspectral Data
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[17]	What are the scientific challenges in moving from targeted to non-targeted methods for food fraud testing and how can they be addressed?–Spectroscopy case study
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[18]	From food defence to food supply chain integrity
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[19]	From food defence to food supply chain integrity Rebecca K. Davidson Wilson Antunes Elisabeth H. Madslien José Belenguer Marco Gerevini Tomas
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[20]	Agriculture and Defense
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[1]	The suitability of analytical methods for assessing food authenticity Food Risk Assess Europe, 2024 DOI:10.2903/fr.efsa.2024.FR-0051

[2]	Wheat authentication：An overview on different techniques and chemometric methods Critical Reviews in Food Science and Nutrition, 2023 DOI:10.1080/10408398.2021.1942783

[3]	Raman‐based genetic purity identification of soybean seed production on line Journal of Raman Spectroscopy, 2023 DOI:10.1002/jrs.6503

[4]	Hyperspectral imaging system to on-line monitoring the soy flour content in a functional pasta Journal of Agricultural Engineering, 2023 DOI:10.4081/jae.2023.1535

[5]	The use of multispectral imaging for the discrimination of Arabica and Robusta coffee beans Food Chemistry: X, 2022 DOI:10.1016/j.fochx.2022.100325

[6]	2021 DOI:10.46756/sci.fsa.zcr161

[7]	Detection of durum wheat pasta adulteration with common wheat by infrared spectroscopy and chemometrics: A case study LWT, 2020 DOI:10.1016/j.lwt.2020.109368

[8]	Recent Applications of Multispectral Imaging in Seed Phenotyping and Quality Monitoring—An Overview Sensors, 2019 DOI:10.3390/s19051090

[9]	Classification of Processing Damage in Sugar Beet (Beta vulgaris) Seeds by Multispectral Image Analysis Sensors, 2019 DOI:10.3390/s19102360

[10]	Optimization of Germination Inhibitors Elimination from Sugar Beet (Beta vulgaris L.) Seeds of Different Maturity Classes Agronomy, 2019 DOI:10.3390/agronomy9110763

[11]	What are the scientific challenges in moving from targeted to non-targeted methods for food fraud testing and how can they be addressed? – Spectroscopy case study Trends in Food Science & Technology, 2018 DOI:10.1016/j.tifs.2018.04.001

[12]	Nondestructive Identification of Salmon Adulteration with Water Based on Hyperspectral Data Journal of Food Quality, 2018 DOI:10.1155/2018/1809297

[13]	From food defence to food supply chain integrity British Food Journal, 2017 DOI:10.1108/BFJ-04-2016-0138

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