Cargando…
Multispectral Wavebands Selection for the Detection of Potential Foreign Materials in Fresh-Cut Vegetables
Ensuring the quality of fresh-cut vegetables is the greatest challenge for the food industry and is equally as important to consumers (and their health). Several investigations have proven the necessity of advanced technology for detecting foreign materials (FMs) in fresh-cut vegetables. In this stu...
Autores principales: | Tunny, Salma Sultana, Amanah, Hanim Z., Faqeerzada, Mohammad Akbar, Wakholi, Collins, Kim, Moon S., Baek, Insuck, Cho, Byoung-Kwan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914723/ https://www.ncbi.nlm.nih.gov/pubmed/35270921 http://dx.doi.org/10.3390/s22051775 |
Ejemplares similares
-
Estimation of Cold Stress, Plant Age, and Number of Leaves in Watermelon Plants Using Image Analysis
por: Nabwire, Shona, et al.
Publicado: (2022) -
Nondestructive Prediction of Isoflavones and Oligosaccharides in Intact Soybean Seed Using Fourier Transform Near-Infrared (FT-NIR) and Fourier Transform Infrared (FT-IR) Spectroscopic Techniques
por: Amanah, Hanim Z., et al.
Publicado: (2022) -
Advancement of non-destructive spectral measurements for the quality of major tropical fruits and vegetables: a review
por: Aline, Umuhoza, et al.
Publicado: (2023) -
Protein and lipid content estimation in soybeans using Raman hyperspectral imaging
por: Aulia, Rizkiana, et al.
Publicado: (2023) -
Non-Targeted Detection of Adulterants in Almond Powder Using Spectroscopic Techniques Combined with Chemometrics
por: Faqeerzada, Mohammad Akbar, et al.
Publicado: (2020)