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Sensors 2018, 18(1), 241; https://doi.org/10.3390/s18010241

Feature Fusion of ICP-AES, UV-Vis and FT-MIR for Origin Traceability of Boletus edulis Mushrooms in Combination with Chemometrics

1
Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, China
2
State Key Laboratory Breeding Base of Systematic Research, Development and Utilization of Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
3
College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China
4
College of Resources and Environment, Yuxi Normal University, Yuxi 653100, China
*
Authors to whom correspondence should be addressed.
Received: 15 December 2017 / Revised: 8 January 2018 / Accepted: 12 January 2018 / Published: 15 January 2018
(This article belongs to the Section Chemical Sensors)
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Abstract

Origin traceability is an important step to control the nutritional and pharmacological quality of food products. Boletus edulis mushroom is a well-known food resource in the world. Its nutritional and medicinal properties are drastically varied depending on geographical origins. In this study, three sensor systems (inductively coupled plasma atomic emission spectrophotometer (ICP-AES), ultraviolet-visible (UV-Vis) and Fourier transform mid-infrared spectroscopy (FT-MIR)) were applied for the origin traceability of 184 mushroom samples (caps and stipes) in combination with chemometrics. The difference between cap and stipe was clearly illustrated based on a single sensor technique, respectively. Feature variables from three instruments were used for origin traceability. Two supervised classification methods, partial least square discriminant analysis (FLS-DA) and grid search support vector machine (GS-SVM), were applied to develop mathematical models. Two steps (internal cross-validation and external prediction for unknown samples) were used to evaluate the performance of a classification model. The result is satisfactory with high accuracies ranging from 90.625% to 100%. These models also have an excellent generalization ability with the optimal parameters. Based on the combination of three sensory systems, our study provides a multi-sensory and comprehensive origin traceability of B. edulis mushrooms. View Full-Text
Keywords: origin traceability; Boletus edulis; ICP-AES; UV-Vis; FT-MIR origin traceability; Boletus edulis; ICP-AES; UV-Vis; FT-MIR
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Qi, L.; Liu, H.; Li, J.; Li, T.; Wang, Y. Feature Fusion of ICP-AES, UV-Vis and FT-MIR for Origin Traceability of Boletus edulis Mushrooms in Combination with Chemometrics. Sensors 2018, 18, 241.

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