2020
DOI: 10.1016/j.vibspec.2020.103182
|View full text |Cite
|
Sign up to set email alerts
|

Simultaneous identification of geographical origin and grade of flue-cured tobacco using NIR spectroscopy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 11 publications
(2 citation statements)
references
References 29 publications
0
2
0
Order By: Relevance
“…17,18 This allows for the variations in the physical properties and chemical composition of substances to be reected in real time. [19][20][21][22] Over the past few years, NIR spectroscopy has provided important guidance in the identication of geographical origin, 23 grade determination, 24 and detection of the chemical composition of tobacco. 25 A reliable multivariate calibration model is developed from the calibration set samples with known attribute measurements, followed by prediction of the unknown sample characteristics, while the accuracy of the prediction results is always strongly associated with the homogeneity of the samples.…”
Section: Introductionmentioning
confidence: 99%
“…17,18 This allows for the variations in the physical properties and chemical composition of substances to be reected in real time. [19][20][21][22] Over the past few years, NIR spectroscopy has provided important guidance in the identication of geographical origin, 23 grade determination, 24 and detection of the chemical composition of tobacco. 25 A reliable multivariate calibration model is developed from the calibration set samples with known attribute measurements, followed by prediction of the unknown sample characteristics, while the accuracy of the prediction results is always strongly associated with the homogeneity of the samples.…”
Section: Introductionmentioning
confidence: 99%
“…NIR spectroscopy is already extensively used in petroleum, 1 agriculture, 2 chemical, 3 tobacco, 4 food, 5,6 and pharmaceutical 7,8 industries since it is a simple, rapid, non-destructive, and reliable analytical method. However, due to the variability of measurement conditions ( e.g.…”
Section: Introductionmentioning
confidence: 99%