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نتیجه جستجو - روشهای تشخیص الگو

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Towards better quality criteria of European honeydew honey: Phenolic profile and antioxidant capacity
نسبت به معیارهای کیفیت بهتر عسل زنبور عسل اروپا: مشخصات فنلی و ظرفیت آنتی اکسیدان-2019
Concerning the particular nutritive value of honeydew honey compared to blossom honey, and small number of studies defining botanical origin of honeydew honey, comprehensive analysis of phenolic profile of 64 honeydew honey samples of specific botanical origin was performed. Two advanced techniques of liquid chromatography hyphenated with mass spectrometry were used for identification of a total of 52 compounds and quantification of 25 of them. Pattern recognition analysis applied on data on phenolic compounds content confirmed that quercetin, naringenin, caffeoylquinic acid, hydroxyphenylacetic acid, apigenin and genistein, could be considered as potential markers of botanical origin of honeydew honey. Spectroscopic and electrochemical approaches were applied for the evaluation of the antioxidant capacity. Quercus sps. samples, Quercus frainetto and Quercus ilex, showed high biological activity and specific chemical composition. Additionally, cyclic voltammetry profiles were used for characterization and natural clustering of honeydew honey for the first time.
Keywords: Honeydew honey | Phenolic profile | UHPLC-LTQ OrbiTrap MS | UHPLC-DAD-MS/MS | Pattern recognition methods | Antioxidant activity
مقاله انگلیسی
2 The impact of the order of derivative spectra on the performance of pattern recognition methods: Classification ofmedicinal plants according to the phylum
تأثیر ترتیب طیفهای مشتق بر عملکرد روشهای تشخیص الگو: طبقه بندی گیاهان دارویی با توجه به نژاد-2019
Data pre-processing is an important strategy in chemometrics and related fields because inmany cases the transformation of data has a great effect on the performance of the method (model). However, a careful examination of the literature clearly points out that only very few systematic studies are dedicated to the effect of the derivative spectra on the performance of the pattern recognition methods. This comprehensive study compares the impact of the order of derivative spectra and other data pre-processing procedures (normalization and standardization) on the performance of cluster analysis, principal component analysis and discriminant analysis applied for characterization and classification of medicinal plants according to their phylum using UV spectra. The efficiency of the pre-processing methods was estimated by comparing the accuracy of classification and prediction measured by internal cross-validation. Derivatization method (1st order) resulted in the best classification (100%) of medicinal plants according to their phylum (Pteridophyte, Magnoliophyte and Spermatophyte) as compared to other pre-processing methods (normalized spectra-71.4%, standardized spectra-76.2% and original spectra-78.6%).
Keywords: Spectra pre-processing | Derivative-order effect | Pattern recognition methods | Medicinal plants | Phylum
مقاله انگلیسی
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بازدید امروز: 10662 :::::::: بازدید دیروز: 0 :::::::: بازدید کل: 10662 :::::::: افراد آنلاین: 62