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FT-MIR and NIR spectral data fusion: a synergetic strategy for the geographical traceability of Panax notoginseng

Analytical and bioanalytical chemistry, 2018-01, Vol.410 (1), p.91-103 [Tạp chí có phản biện]

Springer-Verlag GmbH Germany 2017 ;COPYRIGHT 2018 Springer ;Analytical and Bioanalytical Chemistry is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 1618-2642 ;EISSN: 1618-2650 ;DOI: 10.1007/s00216-017-0692-0 ;PMID: 29143877

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Nhan đề:
FT-MIR and NIR spectral data fusion: a synergetic strategy for the geographical traceability of Panax notoginseng
Tác giả: Li, Yun ; Zhang, Jin-Yu ; Wang, Yuan-Zhong
Chủ đề: Analytical Chemistry ; Biochemistry ; Characterization and Evaluation of Materials ; Chemical properties ; Chemistry ; Chemistry and Materials Science ; China ; Classification ; Data integration ; Data Mining - methods ; Decision analysis ; Decision making ; Decision trees ; Electronics ; Food Science ; Fourier transforms ; Geographical distribution ; Infrared spectroscopy ; Korean ginseng ; Laboratory Medicine ; Level (quantity) ; Mathematical models ; Methods ; Military strategy ; Monitoring/Environmental Analysis ; Multisensor fusion ; Multivariate Analysis ; Panax notoginseng ; Panax notoginseng - chemistry ; Panax notoginseng - classification ; Plant extracts ; Principal components analysis ; Research Paper ; Spectra ; Spectroscopy ; Spectroscopy, Fourier Transform Infrared - methods ; Spectroscopy, Near-Infrared - methods ; Strategy
Là 1 phần của: Analytical and bioanalytical chemistry, 2018-01, Vol.410 (1), p.91-103
Mô tả: Three data fusion strategies (low-llevel, mid-llevel, and high-llevel) combined with a multivariate classification algorithm (random forest, RF) were applied to authenticate the geographical origins of Panax notoginseng collected from five regions of Yunnan province in China. In low-level fusion, the original data from two spectra (Fourier transform mid-IR spectrum and near-IR spectrum) were directly concatenated into a new matrix, which then was applied for the classification. Mid-level fusion was the strategy that inputted variables extracted from the spectral data into an RF classification model. The extracted variables were processed by iterate variable selection of the RF model and principal component analysis. The use of high-level fusion combined the decision making of each spectroscopic technique and resulted in an ensemble decision. The results showed that the mid-level and high-level data fusion take advantage of the information synergy from two spectroscopic techniques and had better classification performance than that of independent decision making. High-level data fusion is the most effective strategy since the classification results are better than those of the other fusion strategies: accuracy rates ranged between 93% and 96% for the low-level data fusion, between 95% and 98% for the mid-level data fusion, and between 98% and 100% for the high-level data fusion. In conclusion, the high-level data fusion strategy for Fourier transform mid-IR and near-IR spectra can be used as a reliable tool for correct geographical identification of P. notoginseng . Graphical abstract The analytical steps of Fourier transform mid-IR and near-IR spectral data fusion for the geographical traceability of Panax notoginseng
Nơi xuất bản: Berlin/Heidelberg: Springer Berlin Heidelberg
Ngôn ngữ: English
Số nhận dạng: ISSN: 1618-2642
EISSN: 1618-2650
DOI: 10.1007/s00216-017-0692-0
PMID: 29143877
Nguồn: AUTh Library subscriptions: ProQuest Central
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FT-MIR and NIR spectral data fusion: a synergetic strategy for the geographical traceability of Panax notoginseng

Springer-Verlag GmbH Germany 2017 ;COPYRIGHT 2018 Springer ;Analytical and Bioanalytical Chemistry is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 1618-2642 ;EISSN: 1618-2650 ;DOI: 10.1007/s00216-017-0692-0 ;PMID: 29143877

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