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Titlebook: Characterization and Authentication of Olive and Other Vegetable Oils; New Analytical Metho María Jesús Lerma García Book 2012 The Editor(s

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發(fā)表于 2025-3-21 19:58:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Characterization and Authentication of Olive and Other Vegetable Oils
副標(biāo)題New Analytical Metho
編輯María Jesús Lerma García
視頻videohttp://file.papertrans.cn/224/223978/223978.mp4
概述Nominated by the University of Valencia, Spain, as a distinguished PhD thesis.Introduces new methods for the characterization of olive and other vegetable oils.Applies a wide range of analytical techn
叢書名稱Springer Theses
圖書封面Titlebook: Characterization and Authentication of Olive and Other Vegetable Oils; New Analytical Metho María Jesús Lerma García Book 2012 The Editor(s
描述This thesis presents new methods for the characterization of vegetable oils, with focus in olive oil, according to geographical and botanical origin, genetic variety and other issues influencing product quality. A wide variety of analytical techniques have been employed, such as various chromatographic techniques (different gas and liquid chromatography methods), an electronic nose, infrared spectroscopy and expert-panel evaluation. Several families of minor compounds, with interest as adulteration markers, have been used for method development, including tocopherols, sterols, phenolics, alcohols, proteins and others. Most methods have been enhanced by the application of multivariate chemometrics. The proposed analytical techniques are of interest to investigate fraudulent actions and practices which are detrimental to product quality.
出版日期Book 2012
關(guān)鍵詞Adulteration with Cheap Vegetable Oils; Authentication of Vegetable Oils; Botanical Origin of Vegetabl
版次1
doihttps://doi.org/10.1007/978-3-642-31418-6
isbn_softcover978-3-642-43310-8
isbn_ebook978-3-642-31418-6Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE
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沙發(fā)
發(fā)表于 2025-3-21 23:00:19 | 只看該作者
板凳
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Book 2012ols, proteins and others. Most methods have been enhanced by the application of multivariate chemometrics. The proposed analytical techniques are of interest to investigate fraudulent actions and practices which are detrimental to product quality.
地板
發(fā)表于 2025-3-22 04:58:43 | 只看該作者
2190-5053 ther vegetable oils.Applies a wide range of analytical technThis thesis presents new methods for the characterization of vegetable oils, with focus in olive oil, according to geographical and botanical origin, genetic variety and other issues influencing product quality. A wide variety of analytical
5#
發(fā)表于 2025-3-22 10:14:17 | 只看該作者
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發(fā)表于 2025-3-22 13:01:14 | 只看該作者
Practical Mathematical Optimizationl components profiles, such as Ts and T.s, sterols, alcohols, amino acids, fatty acids and phenolic compounds, have been used. These profiles have been established using different analytical techniques, including CEC, direct infusion MS, HPLC coupled to both UV-Vis and MS detectors, nano-LC, UPLC-MS, FTIR, electronic nose, etc.
7#
發(fā)表于 2025-3-22 19:59:09 | 只看該作者
Development of Methods for the Evaluation of Olive Oil Oxidation,ue, UV absorbance, fatty acid composition, OSI and T content, were monitored. In addition, transformation of phenolic compounds during the accelerated ageing treatment in EVOO samples with phenolic fraction was also studied.
8#
發(fā)表于 2025-3-23 01:12:51 | 只看該作者
General Conclusions,l components profiles, such as Ts and T.s, sterols, alcohols, amino acids, fatty acids and phenolic compounds, have been used. These profiles have been established using different analytical techniques, including CEC, direct infusion MS, HPLC coupled to both UV-Vis and MS detectors, nano-LC, UPLC-MS, FTIR, electronic nose, etc.
9#
發(fā)表于 2025-3-23 01:42:12 | 只看該作者
Xuegang Liu,Baoliang Lin,Yan Quanch sample. As indicated in this table, four samples of each botanical origin were used to construct a training set in the classification studies, while the remaining samples of each category were employed to evaluate the prediction capability of the classification models.
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發(fā)表于 2025-3-23 07:16:40 | 只看該作者
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