UV Hyperspectral Imaging and Chemometrics for Honeydew Detection: Enhancing Cotton Fiber Quality
Cotton, the most widely produced natural fiber, is integral to the textile industry and sustains the livelihoods of millions worldwide. However, its quality is frequently compromised by contamination, particularly from honeydew, a substance secreted by insects that leads to the formation of sticky f...
Saved in:
Main Authors: | Mohammad Al Ktash, Mona Knoblich, Frank Wackenhut, Marc Brecht |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Chemosensors |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9040/13/1/21 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Quantitative analysis and resolution of pharmaceuticals in the environment using multivariate curve resolution-alternating least squares (MCR-ALS)
by: Mostafa Ahmed, et al.
Published: (2019-06-01) -
Chemometric Methods—A Valuable Tool for Investigating the Interactions Between Antifungal Drugs (Including Antifungal Antibiotics) and Food
by: Agnieszka Wiesner-Kiełczewska, et al.
Published: (2025-01-01) -
Advanced spectrophotometric chemometric methods for resolving the binary mixture of doxylamine succinate and pyridoxine hydrochloride
by: Katsarov Plamen, et al.
Published: (2018-03-01) -
New Insights on Quality, Safety, Nutritional, and Nutraceutical Properties of Honeydew Honeys from Italy
by: Andrea Mara, et al.
Published: (2025-01-01) -
A Rapid and Nondestructive Quality Detection Approach for Yongchuan Xiuya Tea Based on NIRS and siPLS-ANN Method
by: Ying Zhang, et al.
Published: (2025-01-01)