[1]
|
Wheat authentication:An overview on different techniques and chemometric methods
Critical Reviews in Food Science and Nutrition,
2023
DOI:10.1080/10408398.2021.1942783
|
|
|
[2]
|
Raman‐based genetic purity identification of soybean seed production on line
Journal of Raman Spectroscopy,
2023
DOI:10.1002/jrs.6503
|
|
|
[3]
|
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
|
|
|
[4]
|
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
|
|
|
[5]
|
2021
DOI:10.46756/sci.fsa.zcr161
|
|
|
[6]
|
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
|
|
|
[7]
|
Recent Applications of Multispectral Imaging in Seed Phenotyping and Quality Monitoring—An Overview
Sensors,
2019
DOI:10.3390/s19051090
|
|
|
[8]
|
Classification of Processing Damage in Sugar Beet (Beta vulgaris) Seeds by Multispectral Image Analysis
Sensors,
2019
DOI:10.3390/s19102360
|
|
|
[9]
|
Optimization of Germination Inhibitors Elimination from Sugar Beet (Beta vulgaris L.) Seeds of Different Maturity Classes
Agronomy,
2019
DOI:10.3390/agronomy9110763
|
|
|
[10]
|
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
|
|
|
[11]
|
Nondestructive Identification of Salmon Adulteration with Water Based on Hyperspectral Data
Journal of Food Quality,
2018
DOI:10.1155/2018/1809297
|
|
|
[12]
|
From food defence to food supply chain integrity
British Food Journal,
2017
DOI:10.1108/BFJ-04-2016-0138
|
|
|