با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
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 |