Near infrared system coupled chemometric algorithms for enumeration of total fungi count in cocoa beans neat solution
Felix Y H Kutsanedzie
1
,
Quansheng Chen
1
,
Md. Mehedi Hassan
1
,
Mingxiu Yang
1
,
Hao Sun
1
,
Md. Hafizur Rahman
1
Publication type: Journal Article
Publication date: 2018-02-01
scimago Q1
wos Q1
SJR: 1.952
CiteScore: 18.3
Impact factor: 9.8
ISSN: 03088146, 18737072
PubMed ID:
28946266
General Medicine
Analytical Chemistry
Food Science
Abstract
Total fungi count (TFC) is a quality indicator of cocoa beans when unmonitored leads to quality and safety problems. Fourier transform near infrared spectroscopy (FT-NIRS) combined with chemometric algorithms like partial least square (PLS); synergy interval-PLS (Si-PLS); synergy interval-genetic algorithm-PLS (Si-GAPLS); Ant colony optimization - PLS (ACO-PLS) and competitive-adaptive reweighted sampling-PLS (CARS-PLS) was employed to predict TFC in cocoa beans neat solution. Model results were evaluated using the correlation coefficients of the prediction (Rp) and calibration (Rc); root mean square error of prediction (RMSEP), and the ratio of sample standard deviation to RMSEP (RPD). The developed models performance yielded 0.951≤Rp≤0.975; and 3.15≤RPD≤4.32. The models' prediction stability improved in the order of PLS
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155
Total citations:
155
Citations from 2024:
37
(23.87%)
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GOST
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Kutsanedzie F. Y. H. et al. Near infrared system coupled chemometric algorithms for enumeration of total fungi count in cocoa beans neat solution // Food Chemistry. 2018. Vol. 240. pp. 231-238.
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Kutsanedzie F. Y. H., Chen Q., Hassan M. M., Yang M., Sun H., Rahman M. H. Near infrared system coupled chemometric algorithms for enumeration of total fungi count in cocoa beans neat solution // Food Chemistry. 2018. Vol. 240. pp. 231-238.
Cite this
RIS
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TY - JOUR
DO - 10.1016/j.foodchem.2017.07.117
UR - https://doi.org/10.1016/j.foodchem.2017.07.117
TI - Near infrared system coupled chemometric algorithms for enumeration of total fungi count in cocoa beans neat solution
T2 - Food Chemistry
AU - Kutsanedzie, Felix Y H
AU - Chen, Quansheng
AU - Hassan, Md. Mehedi
AU - Yang, Mingxiu
AU - Sun, Hao
AU - Rahman, Md. Hafizur
PY - 2018
DA - 2018/02/01
PB - Elsevier
SP - 231-238
VL - 240
PMID - 28946266
SN - 0308-8146
SN - 1873-7072
ER -
Cite this
BibTex (up to 50 authors)
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@article{2018_Kutsanedzie,
author = {Felix Y H Kutsanedzie and Quansheng Chen and Md. Mehedi Hassan and Mingxiu Yang and Hao Sun and Md. Hafizur Rahman},
title = {Near infrared system coupled chemometric algorithms for enumeration of total fungi count in cocoa beans neat solution},
journal = {Food Chemistry},
year = {2018},
volume = {240},
publisher = {Elsevier},
month = {feb},
url = {https://doi.org/10.1016/j.foodchem.2017.07.117},
pages = {231--238},
doi = {10.1016/j.foodchem.2017.07.117}
}