Evaluation of aroma styles in flue-cured tobacco by near infrared spectroscopy combined with chemometric algorithms

2020 ◽  
Vol 28 (2) ◽  
pp. 93-102
Author(s):  
Fu Liao ◽  
Yongsheng Li ◽  
Wenmiao He ◽  
Jinxin Tie ◽  
Xianwei Hao ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Chemical Analysis ◽  
Sensory Evaluation ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Predictive Accuracy ◽  
Proposed Model ◽  
New Perspective ◽  
Chemometric Algorithms ◽  
Validation Strategy

Aroma style is a complex but critical sensory indicator of flue-cured tobacco. Near infrared spectroscopy was used to investigate the aroma style of flue-cured tobacco. A model screening-sensory validation strategy is herein proposed to overcome obstacles such as the subjectivity of sensory evaluation. Samples with exemplary styles and consistent opinion from a panel were selected as typical samples. Only typical samples were used for modeling. Other samples (atypical samples) were predicted through the proposed model. With references to sensory evaluation, the predictive accuracy reached to 100 and 79.0% for typical and atypical samples, respectively. This method provided a new perspective to evaluate the aroma styles of flue-cured tobacco by a combination of sensory evaluation and chemical analysis.

scholarly journals Near-infrared Spectroscopy evaluations for rapid differentiation of carbapenem resistant Enterobacteriaceae from susceptible strains

2020 ◽  
Author(s):  
Bushra Alharbi ◽  
Maggy T. Sikulu-Lord ◽  
Anton Lord ◽  
Hosam M Zowawi ◽  
Ella Trembizki
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Predictive Accuracy ◽  
Bacterial Species ◽  
Carbapenem Resistance ◽  
Accurate Identification ◽  
Carbapenem Resistant ◽  
Global Threat ◽  
Carbapenem Resistant Enterobacteriaceae

AbstractAntimicrobial resistance (AMR) caused by Carbapenem-Resistant Enterobacteriaceae (CRE) is a global threat. Accurate identification of these bacterial species with associated AMR is critical for their management. While highly accurate methods to detect CRE are available, they are costly, timely and require expert skills making their application infeasible in low-resource settings. Here, we investigated the potential of Near-infrared Spectroscopy (NIRS) for a range of applications; i) the detection and differentiation of isolates of two pathogenic Enterobacteriaceae species, Klebsiella pneumoniae and Escherichia coli and, ii) the differentiation of carbapenem resistant and susceptible K. pneumoniae. NIRS has successfully differentiated between K. pneumoniae and E. coli isolates with a predictive accuracy of 89.04% (95% CI; 88.7-89.4%). K. pneumoniae isolates harbouring carbapenem resistance determinants were differentiated from susceptible K. pneumoniae strains with an accuracy of 85% (95% CI; 84.2-86.1%). To our knowledge, this is the largest demonstration of a proof of concept for the utility and feasibility of NIRS for rapidly differentiating between K. pneumoniae from E.coli as well as from carbapenem resistant K. pneumoniae from susceptible strains.

scholarly journals Near-Infrared Spectroscopy Evaluations for the Differentiation of Carbapenem-Resistant from Susceptible Enterobacteriaceae Strains

Diagnostics ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 736
Author(s):  
Bushra Alharbi ◽  
Maggy Sikulu-Lord ◽  
Anton Lord ◽  
Hosam M. Zowawi ◽  
Ella Trembizki
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Predictive Accuracy ◽  
Bacterial Species ◽  
Carbapenem Resistance ◽  
Accurate Identification ◽  
E Coli ◽  
Carbapenem Resistant ◽  
Global Threat

Antimicrobial Resistance (AMR) caused by Carbapenem-Resistant Enterobacteriaceae (CRE) is a global threat. Accurate identification of these bacterial species with associated AMR is critical for their management. While highly accurate methods to detect CRE are available, they are costly, timely and require expert skills, making their application infeasible in low-resource settings. Here, we investigated the potential of Near-Infrared Spectroscopy (NIRS) for a range of applications: (i) the detection and differentiation of isolates of two pathogenic Enterobacteriaceae species, Klebsiella pneumoniae and Escherichia coli, and (ii) the differentiation of carbapenem resistant and susceptible K. pneumoniae. NIRS has successfully differentiated between K. pneumoniae and E. coli isolates with a predictive accuracy of 89.04% (95% CI; 88.7–89.4%). K. pneumoniae isolates harbouring carbapenem-resistance determinants were differentiated from susceptible K. pneumoniae strains with an accuracy of 85% (95% CI; 84.2–86.1%). To our knowledge, this is the largest proof of concept demonstration for the utility and feasibility of NIRS to rapidly differentiate between K. pneumoniae and E. coli as well as carbapenem-resistant K. pneumoniae from susceptible strains.

The Detection of Glycerate and Free Fatty Acids by the Method of Near-Infrared Spectroscopy

2013 ◽  
Vol 333-335 ◽  
pp. 1586-1590
Author(s):  
Lang Ming ◽  
Zhe Chen ◽  
Jun Zhang ◽  
Fu Rong Huang ◽  
Meng Yuan Xie ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Infrared Spectroscopy ◽  
Chemical Analysis ◽  
Free Fatty Acids ◽  
Near Infrared Spectroscopy ◽  
Experimental Verification ◽  
Standard Error ◽  
Near Infrared ◽  
Analysis Method ◽  
Analysis Software

The monoglyceride, diglyceride, triglyceride and free fatty acids in vegetable oil was detected by the analysis method of near-infrared spectroscopy. The near-infrared spectrograms of 77 oil samples were collected, including 67 samples for calibration set and 10 samples for prediction set. The Partial Least Squares (PLS) optimized models were established with OPUS chemical analysis software. The results demonstrated that the determination coefficient of monoglyceride, diglyceride, triglyceride and free fatty acids was 0.9691,0.8627,0.8742 and 0.9194, respectively. And the standard error of prediction for the four components was 0.0104, 0.1830.201 and 0.0106, respectively. The presented results showed that the analysis method of near-infrared spectroscopy can be used to identify the diglycerides and triglycerides, but as for monoglyceride and free fatty acids, further experimental verification is needed.

NIR Spectroscopy Coupled Chemometric Algorithms for Rapid Antioxidants Activity Assessment of Chinese Dates (Zizyphus Jujuba Mill.)

2019 ◽  
Vol 15 (3-4) ◽  
Author(s):  
Muhammad Arslan ◽  
Zou Xiaobo ◽  
Haroon Elrasheid Tahir ◽  
Hu Xuetao ◽  
Allah Rakha ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Infrared Spectroscopy ◽  
Variable Selection ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Mean Square ◽  
Chemometric Algorithms ◽  
Selection Algorithms

AbstractIn this work, near-infrared spectroscopy coupled the classical PLS and variable selection algorithms; synergy interval-PLS, backward interval-PLS and genetic algorithm-PLS for rapid measurement of the antioxidant activity of Chinese dates. The chemometric analysis of antioxidant activity assays was performed. The built models were investigated using correlation coefficients of calibration and prediction; root mean square error of prediction, root mean square error of cross-validation and residual predictive deviation (RPD). The correlation coefficient for calibration and prediction sets and RPD values ranged from 0.8503 to 0.9897, 0.8463 to 0.9783 and 1.86 to 4.88, respectively. In addition, variable selection algorithms based on efficient information extracted from acquired spectra were superior to classical PLS. The overall results revealed that near-infrared spectroscopy combined with chemometric algorithms could be used for rapid quantification of antioxidant content in Chinese dates samples.

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