27 research outputs found
Combined multivariate data analysis of high-performance thin-layer chromatography fingerprints and direct analysis in real time mass spectra for profiling of natural products like propolis
Sophisticated statistical tools are required to extract the full analytical power from high-performance thin-layer chromatography (HPTLC). Especially, the combination of HPTLC fingerprints (image) with chemometrics is rarely used so far. Also, the newly developed, instantaneous direct analysis in real time mass spectrometry (DART-MS) method is perspective for sample characterization and differentiation by multivariate data analysis. This is a first novel study on the differentiation of natural products using a combination of fast fingerprint techniques, like HPTLC and DART-MS, for multivariate data analysis. The results obtained by the chemometric evaluation of HPTLC and DART-MS data provided complementary information. The complexity, expense, and analysis time were significantly reduced due to the use of statistical tools for evaluation of fingerprints. The approach allowed categorizing 91 propolis samples from Germany and other locations based on their phenolic compound profile. A high level of confidence was obtained when combining orthogonal approaches (HPTLC and DART-MS) for ultrafast sample characterization. HPTLC with selective post-chromatographic derivatization provided information on polarity, functional groups and spectral properties of marker compounds, while information on possible elemental formulae of principal components (phenolic markers) was obtained by DART-MS. (C) 2013 Elsevier B.V. All rights reserved.Peer-reviewed manuscript: [http://cherry.chem.bg.ac.rs/handle/123456789/3749
General criteria for selecting the conditions of the analysis by DART mass spectrometry
ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΡΠΎΠΏΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΡΠ°Π²Π° ΠΈ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΡΡΠ΅ΠΉ ΡΠΈΠ³Π½Π°Π»ΠΎΠ² Π² ΠΌΠ°ΡΡ-ΡΠΏΠ΅ΠΊΡΡΠ°Ρ
DART ΠΎΡΠ³Π°Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½ΠΈΠΉ ΠΏΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
ΡΠΈΠΏΠΎΠ² ΠΌΠ°ΡΡ-Π°Π½Π°Π»ΠΈΠ·Π°ΡΠΎΡΠΎΠ² ΠΈ ΠΊΠΎΠ½ΡΠΈΠ³ΡΡΠ°ΡΠΈΠΉ Π²Π°ΠΊΡΡΠΌΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅ΡΡΠ΅ΠΉΡΠ° ΠΌΠ΅ΠΆΠ΄Ρ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠΌ ΠΈΠΎΠ½ΠΎΠ² ΠΈ Π²Ρ
ΠΎΠ΄ΠΎΠΌ Π² ΠΌΠ°ΡΡ-Π°Π½Π°Π»ΠΈΠ·Π°ΡΠΎΡ. ΠΠ° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½ΠΈΠΉ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π° Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΡ ΡΠΎΡΡΠ°Π²Π° ΠΌΠ°ΡΡ-ΡΠΏΠ΅ΠΊΡΡΠΎΠ² DART, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΠ°Π·Π½ΡΡ
ΠΌΠ°ΡΡ-Π°Π½Π°Π»ΠΈΠ·Π°ΡΠΎΡΠΎΠ² ΠΈ ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°. ΠΠ±ΡΡΠΆΠ΄Π°Π΅ΡΡΡ ΡΠΎΠ»Ρ ΡΠΎΡΡΠ°Π²Π° ΠΈ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΏΠΎΡΠΎΠΊΠ° Π³Π°Π·Π°-Π½ΠΎΡΠΈΡΠ΅Π»Ρ, Π΄Π°Π²Π»Π΅Π½ΠΈΡ Π² Π²Π°ΠΊΡΡΠΌΠ½ΠΎΠΌ ΠΈΠ½ΡΠ΅ΡΡΠ΅ΠΉΡΠ΅, ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΡ ΠΈ ΡΠΎΡΡΠ°Π²Π° Π°ΡΠΌΠΎΡΡΠ΅ΡΡ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΠΈΠΎΠ½ΠΈΠ·Π°ΡΠΈΠΈ, ΠΏΡΠΈΡΡΡΡΡΠ²ΠΈΡ Π΄ΠΎΠ±Π°Π²ΠΊΠΈ Π½Π΅ΠΎΠ½Π° Π² Π³Π΅Π»ΠΈΠΈ, ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΊΠ΅ΡΠ°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΠ±ΠΊΠΈ Π²Π°ΠΊΡΡΠΌΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅ΡΡΠ΅ΠΉΡΠ°, Π½Π°ΠΏΡΡΠΆΠ΅Π½ΠΈΡ Π½Π° Π²Ρ
ΠΎΠ΄Π΅ Π² ΠΌΠ°ΡΡ-Π°Π½Π°Π»ΠΈΠ·Π°ΡΠΎΡ. ΠΠΏΠ΅ΡΠ²ΡΠ΅ ΡΡΠΎΡΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½Ρ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΈ ΠΈ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ Π²ΡΠ±ΠΎΡΠ° ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΡΠ΅Π³ΠΈΡΡΡΠ°ΡΠΈΠΈ ΠΌΠ°ΡΡ-ΡΠΏΠ΅ΠΊΡΡΠΎΠ² DART Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ Π°Π½Π°Π»ΠΈΡΠΎΠ², ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΠΎΠΉ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π°Π·Ρ.The results of studies of DART mass spectra for different organic compounds using different mass analyzers and configurations of the vacuum interface, located between the DART source and the entrance to the mass analyzer, are summarized. The dependence of the DART mass spectra on various experimental factors was studied using different mass analyzers and experimental conditions for organic compounds, belonging to different classes. The influence of composition and flow rate of the carrier gas, including the presence or absence of neon in helium, pressure in vacuum interface, temperature and composition of the atmosphere in the ionization region and in the surrounding area, parameters of the ceramic tube of the vacuum interface, and input voltage on the mass analyzer entrance is studied. For the first time, the general recommendations and criteria are outlined for selecting the conditions of registration of DART mass spectra depending on analytes, experimental parameters, and instrumental environment
Fast screening of hydro xymethylfurfural in honey using high-performance thin-layer chrometography
ΠΠΏΠ΅ΡΠ²ΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ ΡΠΏΠΎΡΠΎΠ± Π±ΡΡΡΡΠΎΠ³ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ (ΡΠΊΡΠΈΠ½ΠΈΠ½Π³Π°) ΠΎΠΊΡΠΈΠΌΠ΅ΡΠΈΠ»ΡΡΡΡΡΡΠΎΠ»Π° Π² ΠΌΠ΅Π΄Π΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π²ΡΡΠΎΠΊΠΎΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ ΡΠΎΠ½ΠΊΠΎΡΠ»ΠΎΠΉΠ½ΠΎΠΉ Ρ
ΡΠΎΠΌΠ°ΡΠΎΠ³ΡΠ°ΡΠΈΠΈ. ΠΠ΅ΡΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ»ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π΄Π΅Π½ΡΠΈΡΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΊΠ°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΈ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΠΈ ΠΏΠΎΠ³Π»ΠΎΡΠ΅Π½ΠΈΡ Π½Π° Π΄Π»ΠΈΠ½Π΅ Π²ΠΎΠ»Π½Ρ 290 Π½ΠΌ. ΠΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° Π²ΠΎΠ·ΠΌΠΎΠΆΠ΅Π½ ΠΎΠ΄Π½ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄ΠΎ 20 ΠΎΠ±ΡΠ°Π·ΡΠΎΠ², ΠΏΡΠΈ ΡΡΠΎΠΌ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ Ρ
ΡΠΎΠΌΠ°ΡΠΎΠ³ΡΠ°ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΡΠ°Π²Π»ΡΠ΅Ρ ΠΎΠΊΠΎΠ»ΠΎ 5 ΠΌΠΈΠ½ΡΡ.An approach for fast screening of hydroxymethylfurfural in honey by high-performance thin-layer chromatography is suggested for the first time. The detection was performed by densitometric scanning at 290 nm. Using this approach, it is possible to screen up to 20 samples simultaneously, and the separation takes just about 5 minutes
Fast classification of propolis samples by the principal component analysis of multivariate data (DART mass spectra) in Excel software
ΠΠΏΠ΅ΡΠ²ΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² ΠΏΡΠΎΠΏΠΎΠ»ΠΈΡΠ° ΠΏΡΡΠ΅ΠΌ Π°Π½Π°Π»ΠΈΠ·Π° ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΠΌΠ°ΡΡ-ΡΠΏΠ΅ΠΊΡΡΠΎΠΌΠ΅ΡΡΠΈΠΈ DART ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π³Π»Π°Π²Π½ΡΡ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ ΠΏΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ Π½Π°Π΄ΡΡΡΠΎΠΉΠΊΠΈ Chemometrics Add-In Π΄Π»Ρ Microsoft Excel. ΠΠ½Π°Π»ΠΈΠ· ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ»ΠΈ ΠΏΡΡΠ΅ΠΌ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ ΡΡΠ΅ΠΊΠ»ΡΠ½Π½ΡΡ
ΠΊΠ°ΠΏΠΈΠ»Π»ΡΡΠΎΠ², ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠΈΡ
ΠΌΠ°Π»ΡΡ Π΄ΠΎΠ»Ρ ΡΠΊΡΡΡΠ°ΠΊΡΠ°, Π² ΠΎΠ±Π»Π°ΡΡΡ ΠΈΠΎΠ½ΠΈΠ·Π°ΡΠΈΠΈ, ΠΏΡΠΈ ΡΡΠΎΠΌ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ Π°Π½Π°Π»ΠΈΠ·Π° ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ°Π·ΡΠ° ΡΠΎΡΡΠ°Π²Π»ΡΠ»Π° 30-40 Ρ ΠΈ ΠΌΠΎΠ³Π»Π° Π±ΡΡΡ ΡΠΎΠΊΡΠ°ΡΠ΅Π½Π° Π΄ΠΎ 8 Ρ ΠΏΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ Π΄ΡΡΠ³ΠΈΡ
ΡΡΡΡΠΎΠΉΡΡΠ² ΠΏΠΎΠ΄Π°ΡΠΈ ΠΎΠ±ΡΠ°Π·ΡΠΎΠ². ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π½Π°Π΄ΡΡΡΠΎΠΉΠΊΠΈ Chemometrics Add-In Π΄Π»Ρ Microsoft Excel ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΠΊΠ»Π°ΡΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°ΡΡ ΠΎΠ±ΡΠ°Π·ΡΡ ΠΏΡΠΎΠΏΠΎΠ»ΠΈΡΠ° Π½Π° Π΄Π²Π° ΡΠΈΠΏΠ° Π±Π΅Π· ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
Π΄ΠΎΡΠΎΠ³ΠΎΡΡΠΎΡΡΠΈΡ
ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ°ΠΊΠ΅ΡΠΎΠ². ΠΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ Π½Π° 87 % ΡΠΎΠ²ΠΏΠ°Π΄Π°Π»Π° Ρ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠ΅ΠΉ ΡΠ΅Ρ
ΠΆΠ΅ ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² ΠΏΡΡΠ΅ΠΌ Π²ΠΈΠ·ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΠΏΠ»Π°Π½Π°ΡΠ½ΡΡ
Ρ
ΡΠΎΠΌΠ°ΡΠΎΠ³ΡΠ°ΠΌΠΌ, Π½ΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ»Π° ΠΏΡΠ΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠΈΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΠ΅ ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΡΠ΅ ΠΌΠ°ΡΡΡ ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½ΠΈΠΉ-ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ².The possibility for classification of propolis samples by multivariate data analysis of DART mass spectra by principal component analysis using the special add-in to the Microsoft Excel software Β«Chemometrics Add-InΒ» was investigated for the first time. Propolis extracts were analyzed by introducing them on tips of glass capillaries to the ionization region. Duration of one analysis was 30-40 s and could be further reduced down to 8 s using other automatic sampling devices. Using Β«Chemometrics Add-InΒ», the samples were classified in 2 main types without using any special expensive statistical packages. The classification of propolis samples in 87% coincided the classification of the same samples based on the visual comparison of planar chromatography images, but allowed to suggest the possible molecular masses of phenolic marker compounds