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

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    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

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    ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΎ сопоставлСниС Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² исслСдования состава ΠΈ интСнсивностСй сигналов Π² масс-спСктрах DART органичСских соСдинСний ΠΏΡ€ΠΈ использовании Π½Π΅ΡΠΊΠΎΠ»ΡŒΠΊΠΈΡ… Ρ‚ΠΈΠΏΠΎΠ² масс-Π°Π½Π°Π»ΠΈΠ·Π°Ρ‚ΠΎΡ€ΠΎΠ² ΠΈ ΠΊΠΎΠ½Ρ„ΠΈΠ³ΡƒΡ€Π°Ρ†ΠΈΠΉ Π²Π°ΠΊΡƒΡƒΠΌΠ½ΠΎΠ³ΠΎ интСрфСйса ΠΌΠ΅ΠΆΠ΄Ρƒ источником ΠΈΠΎΠ½ΠΎΠ² ΠΈ Π²Ρ…ΠΎΠ΄ΠΎΠΌ Π² масс-Π°Π½Π°Π»ΠΈΠ·Π°Ρ‚ΠΎΡ€. На ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… соСдинСний установлСна Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡ‚ΡŒ состава масс-спСктров DART, ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… с использованиСм Ρ€Π°Π·Π½Ρ‹Ρ… масс-Π°Π½Π°Π»ΠΈΠ·Π°Ρ‚ΠΎΡ€ΠΎΠ² ΠΈ условий экспСримСнта. ΠžΠ±ΡΡƒΠΆΠ΄Π°Π΅Ρ‚ΡΡ Ρ€ΠΎΠ»ΡŒ состава ΠΈ скорости ΠΏΠΎΡ‚ΠΎΠΊΠ° Π³Π°Π·Π°-носитСля, давлСния Π² Π²Π°ΠΊΡƒΡƒΠΌΠ½ΠΎΠΌ интСрфСйсС, Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹ ΠΈ состава атмосфСры Π² области ΠΈΠΎΠ½ΠΈΠ·Π°Ρ†ΠΈΠΈ, присутствия Π΄ΠΎΠ±Π°Π²ΠΊΠΈ Π½Π΅ΠΎΠ½Π° Π² Π³Π΅Π»ΠΈΠΈ, ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² кСрамичСской Ρ‚Ρ€ΡƒΠ±ΠΊΠΈ Π²Π°ΠΊΡƒΡƒΠΌΠ½ΠΎΠ³ΠΎ интСрфСйса, напряТСния Π½Π° Π²Ρ…ΠΎΠ΄Π΅ Π² масс-Π°Π½Π°Π»ΠΈΠ·Π°Ρ‚ΠΎΡ€. Π’ΠΏΠ΅Ρ€Π²Ρ‹Π΅ сформулированы ΠΎΠ±ΠΎΠ±Ρ‰Π΅Π½Π½Ρ‹Π΅ Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΈ ΠΈ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠΈ Π²Ρ‹Π±ΠΎΡ€Π° условий рСгистрации масс-спСктров DART Π² зависимости ΠΎΡ‚ Π°Π½Π°Π»ΠΈΡ‚ΠΎΠ², условий экспСримСнта, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅ΠΌΠΎΠΉ тСхничСской 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

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    Π’ΠΏΠ΅Ρ€Π²Ρ‹Π΅ прСдставлСн способ быстрого опрСдСлСния (скрининга) оксимСтилфурфурола Π² ΠΌΠ΅Π΄Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ высокоэффСктивной тонкослойной Ρ…Ρ€ΠΎΠΌΠ°Ρ‚ΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ. Π”Π΅Ρ‚Π΅ΠΊΡ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ осущСствляли ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ дСнситомСтричСского сканирования ΠΏΡ€ΠΈ ΠΈΠ·ΠΌΠ΅Ρ€Π΅Π½ΠΈΠΈ поглощСния Π½Π° Π΄Π»ΠΈΠ½Π΅ Π²ΠΎΠ»Π½Ρ‹ 290 Π½ΠΌ. ΠŸΡ€ΠΈ использовании ΠΏΡ€Π΅Π΄Π»Π°Π³Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° Π²ΠΎΠ·ΠΌΠΎΠΆΠ΅Π½ ΠΎΠ΄Π½ΠΎΠ²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄ΠΎ 20 ΠΎΠ±Ρ€Π°Π·Ρ†ΠΎΠ², ΠΏΡ€ΠΈ этом Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ хроматографирования составляСт ΠΎΠΊΠΎΠ»ΠΎ 5 ΠΌΠΈΠ½ΡƒΡ‚.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

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    Π’ΠΏΠ΅Ρ€Π²Ρ‹Π΅ исслСдована Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ классификации ΠΎΠ±Ρ€Π°Π·Ρ†ΠΎΠ² прополиса ΠΏΡƒΡ‚Π΅ΠΌ Π°Π½Π°Π»ΠΈΠ·Π° ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ… масс-спСктромСтрии DART ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ Π³Π»Π°Π²Π½Ρ‹Ρ… ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ ΠΏΡ€ΠΈ использовании надстройки Chemometrics Add-In для Microsoft Excel. Анализ осущСствляли ΠΏΡƒΡ‚Π΅ΠΌ ввСдСния стСклянных капилляров, содСрТащих ΠΌΠ°Π»ΡƒΡŽ долю экстракта, Π² ΠΎΠ±Π»Π°ΡΡ‚ΡŒ ΠΈΠΎΠ½ΠΈΠ·Π°Ρ†ΠΈΠΈ, ΠΏΡ€ΠΈ этом Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ Π°Π½Π°Π»ΠΈΠ·Π° ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΎΠ±Ρ€Π°Π·Ρ†Π° составляла 30-40 с ΠΈ ΠΌΠΎΠ³Π»Π° Π±Ρ‹Ρ‚ΡŒ сокращСна Π΄ΠΎ 8 с ΠΏΡ€ΠΈ использовании Π΄Ρ€ΡƒΠ³ΠΈΡ… устройств ΠΏΠΎΠ΄Π°Ρ‡ΠΈ ΠΎΠ±Ρ€Π°Π·Ρ†ΠΎΠ². ИспользованиС надстройки Chemometrics Add-In для Microsoft Excel ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΠΊΠ»Π°ΡΡΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ ΠΎΠ±Ρ€Π°Π·Ρ†Ρ‹ прополиса Π½Π° Π΄Π²Π° Ρ‚ΠΈΠΏΠ° Π±Π΅Π· использования ΡΠΏΠ΅Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… дорогостоящих статистичСских ΠΏΠ°ΠΊΠ΅Ρ‚ΠΎΠ². ΠšΠ»Π°ΡΡΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΡ Π½Π° 87 % совпадала с классификациСй Ρ‚Π΅Ρ… ΠΆΠ΅ ΠΎΠ±Ρ€Π°Π·Ρ†ΠΎΠ² ΠΏΡƒΡ‚Π΅ΠΌ Π²ΠΈΠ·ΡƒΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ сравнСния ΠΏΠ»Π°Π½Π°Ρ€Π½Ρ‹Ρ… Ρ…Ρ€ΠΎΠΌΠ°Ρ‚ΠΎΠ³Ρ€Π°ΠΌΠΌ, Π½ΠΎ позволяла ΠΏΡ€Π΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚ΡŒ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹Π΅ молСкулярныС массы соСдинСний-ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ².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
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