2012
DOI: 10.1016/j.foodres.2012.08.016
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Rapid geographical origin analysis of pure West Lake lotus root powder (WL-LRP) by near-infrared spectroscopy combined with multivariate class modeling techniques

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Cited by 11 publications
(9 citation statements)
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“…In few studies, the algorithm used for selecting the samples into a subset was explicitly specified, e.g. Venetian blind [56,57], random [58] or even repeated random by Monte Carlo simulation [59]. In addition to CV, permutation testing was used as tool to avoid overfitting [58,60].…”
Section: Statistical Model Validation and Diagnosticsmentioning
confidence: 99%
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“…In few studies, the algorithm used for selecting the samples into a subset was explicitly specified, e.g. Venetian blind [56,57], random [58] or even repeated random by Monte Carlo simulation [59]. In addition to CV, permutation testing was used as tool to avoid overfitting [58,60].…”
Section: Statistical Model Validation and Diagnosticsmentioning
confidence: 99%
“…In few studies, this percentage was equal or higher than the one for the training set. Five studies explicitly reported about independent test set samples [37,59,[63][64][65] for model performance evaluation. If no independent test samples are available, cross model validation has been suggested as a robust validation strategy for fingerprinting approaches [53].…”
Section: Statistical Model Validation and Diagnosticsmentioning
confidence: 99%
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“…This principle can be used to distinguish and confirm the origin of food. Currently, Chinese scholars have used IR for food origin identification purposes for beef [29], lamb [30], tea [31], wheat [32], West Lake lotus root starch [33], and loquat [34] products.…”
Section: Traceability Technology Principles and Applications For Foodmentioning
confidence: 99%
“…Recently, near-infrared (NIR) spectroscopy has been extensively used in food quality control [6][7][8]. Compared with traditional analytical methods, NIR has some advantages, including (1) reduced sample preparation, labor, and cost of analysis; (2) the potential for nondestructive and online analysis; (3) comprehensive characterization of 2 Journal of Spectroscopy multiple components.…”
Section: Introductionmentioning
confidence: 99%