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Proposal for a standardised method for the identification of essential oils by HPTLC

Pharmeuropa Bio & Scientific Notes, 2021

Authors: Thi Kieu Tiên Do, Ilona Trettin, René de Vaumas, Salvador Cañigueral, Claudia Valder, Eike Reich



Abstract

The European Pharmacopoeia (Ph. Eur.), includes both individual monographs on essential oils and a general monograph that covers all essential oils for pharmaceutical use, whether covered by an individual monograph or not. The individual monographs generally describe gas chromatography as a first identification test, while thin-layer chromatography (TLC) and high-performance thin-layer chromatography (HPTLC) methods are included in the second identification series. To comply with Ph. Eur. general chapter 2.8.25. High-performance thin-layer chromatography of herbal drugs and herbal drug preparations, HPTLC parameters must be standardised. Currently, 18 of the 32 monographs on essential oils feature the same TLC/HPTLC method, but differ in terms of the other conditions described. A single, standardised chromatographic system with a system suitability test (SST) and intensity markers for all 32 essential oils covered by individual monographs would be desirable, particularly for pharmacies and other users that cannot perform gas chromatography for financial reasons. To this end, this paper describes the development of a general HPTLC method for the identification of essential oils in compliance with general chapter 2.8.25. The method proposes the use of ethyl acetate, toluene (5:95 V/V) as mobile phase, isoeugenol/isoeugenyl acetate for the SST, and a combination of one alcohol (either borneol or linalool) and one ester (either linalyl acetate or bornyl acetate) as intensity markers.

https://pubmed.ncbi.nlm.nih.gov/34751647/
Closeup low angle view of mid 30's blond female chemist carefully measuring chemicals in a laboratory. Wearing protective mask and eyeglasses. She's using pipette to accurately put blue chemical into flasks.

Dried blood spots for anti-doping: Why just going volumetric may not be sufficient

Abstract

In addition to the naturally existing HCT fluctuation in a standard population, these fluctuations in an athlete population are more pronounced. Therefore, additional efforts for anti-doping testing may be required to ensure reliable and quantitative DBS analysis that hold their position in court. A consequent HCT strategy for dried blood should be implemented, as the measurement of HCT in dried blood is not as straightforward as in liquid blood. Solutions for HCT measurement from DBS are available and ready to be implemented. The preferred strategy for HCT assessment should be post-sampling and non-destructive, as it keeps the DBS sampling process as simple as possible. Depending on the DBS sampling device in action, the indirect HCT assessment from the dried matrix can be easier or more difficult to implement. Strategies to rapidly measure the HCT from DBS cards non-destructively have been demonstrated in the past. Up to date, no such application has been introduced for the non-card-based microsampling devices.

https://onlinelibrary.wiley.com/doi/abs/10.1002/dta.2977

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Open hand raised with Stop Doping sign painted

Automated high-throughput analysis of tramadol and O-desmethyltramadol in dried blood spots

Abstract

The World Anti-Doping Agency (WADA) and the International Testing Agency (ITA) recently announced the development and implementation of dried blood spot (DBS) testing for routine analysis in time for the 2022 Winter Olympic and Paralympic Games in Beijing. Following the introduction of a ban on the use of tramadol in competition in March 2019, the Union Cycliste International (UCI) started a pilot study for the manual analysis of tramadol in DBS for antidoping purposes. In this context, we present a fully automated LC–MS/MS-based method with automated sample preparation using a CAMAG DBS-MS 500 for the analysis of tramadol and its metabolite O-desmethyltramadol in DBS. The presented approach reduces manual handling in the laboratory to an absolute minimum, only requiring the preparation of calibration and quality control DBS cards. The method was developed, optimized, and validated before performing cross-validation with a liquid blood-based analysis method using authentic samples from forensic cases. During the validation process, the method showed an extraction efficiency of 62%, linearity r2 > 0.99, accuracy and precision (within ± 15% and ± 20% at the LLOQ) for the determination of tramadol and O-desmethyltramadol. Method comparison in liquid blood with 26 samples showed good agreement (90 ± 19% for tramadol and 94 ± 14% for O-desmethyltramadol). In conclusion, automated analysis of tramadol and O-desmethyltramadol in DBS provides a fast and accurate solution for antidoping screening. It is suited for highthroughput analysis, having a run time of about 4 min per sample. Furthermore, with the automated approach, manual sample extraction becomes obsolete.

https://onlinelibrary.wiley.com/doi/abs/10.1002/dta.2819

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Dried blood spots on a fiber filter for laboratory analysis

The application of fully automated dried blood spot analysis for liquid chromatography-tandem mass spectrometry using the CAMAG DBS-MS 500 autosampler

Abstract

In the past decade, dried blood spot (DBS) sampling has been used increasingly for microsampling in various fields. This is predominantly driven by the significant advantages DBS offers regarding simple sample retrieval and shipment, combined with increased analyte stability. However, the manual handling of DBS samples is laborsome and prevents the use of a high-capacity bioanalytical workflow. The recent introduction of robotic DBS extraction systems in combination with liquid chromatography-tandem mass spectrometry (LC-MS/MS) has enabled the full automation of the analytical process. This results in overall higher sample throughput, minimal user interaction, and a significant reduction in consumables. Different instrumental setups are currently available which differ with respect to the extraction process, extract processing strategy, and internal standard application. This review article provides an overview of fully automated DBS analysis for one of these instruments, the DBS-MS 500 autosampler from CAMAG. The automated processes are described in detail and various applications are presented. Emphasis is placed on the advantages that the use of DBS, in combination with automation, brings – such as speed, reliability, and userfriendliness. Discussing DBS solutions for newborn screening, workplace drug testing, forensic screening, direct alcohol marker analysis, antiretroviral drugs, anti-epileptic drugs, and mass drug administration, the versatility and applicability of DBS are demonstrated in detail. In conclusion, this article shows how and why fully automated DBS analysis has penetrated the routine laboratory environment.

https://www.sciencedirect.com/science/article/pii/S0009912019313682?via%3Dihub

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SARS-CoV-2

Fully automated dried blood spot sample handling and extraction for serological testing of SARS-CoV-2 antibodies

Abstract

At the beginning of 2020, an outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reached pandemic dimensions. Throughout the event, diagnostic tests function as an essential tool for understanding, mitigating, and implement strategies to curb and reduce infections. Here, we present a novel method for the fully automated dried blood spot (DBS) sample handling and extraction for serological testing of human IgG antibodies against SARS-CoV-2 using a commercial enzymelinked immunosorbent assay (ELISA) testing kit. This proof-of-principle pilot study successfully demonstrates the recovery of antibodies in their intact form from DBS using automated, direct sample elution within 100 μl of extraction buffer. The use of minimally invasive DBS sampling provides an alternative to existing analytical procedures such as sampling by venipuncture or nasal swabs. Due to the ease of DBS collection, no third party need be involved, making at-home sampling possible (e.g., during quarantine).

https://onlinelibrary.wiley.com/doi/10.1002/dta.2946

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Variation in the relative isomer abundance of synthetic and biologically derived phosphatidylethanols and its consequences for reliable quantification

Abstract

Phosphatidylethanol (PEth) in human blood samples is a marker for alcohol usage. Typically, PEth is detected by reversed-phase liquid chromatography coupled with negative ion tandem mass spectrometry, investigating the fatty acyl anions released from the precursor ion upon collision-induced dissociation (CID). It has been established that in other classes of asymmetric glycerophospholipids the unimolecular fragmentation upon CID is biased depending on the relative position (known as sn-position) of each fatty acyl chain on the glycerol backbone. As such, the use of product ions in selected-reaction-monitoring (SRM) transitions could be prone to variability if more than one regioisomer is present in either the reference materials or the sample. Here, we have investigated the regioisomeric purity of three reference materials supplied by different vendors, labelled as PEth 16:0/18:1. Using CID coupled with ozoneinduced dissociation, the regioisomeric purity (% 16:0 at sn-1) was determined to be 76%, 80% and 99%. The parallel investigation of the negative ion CID mass spectra of standards revealed differences in product ion ratios for both fatty acyl chain product ions and ketene neutral loss product ions. Furthermore, investigation of the product ion abundances in CID spectra of PEth within authentic blood samples appears to indicate a limited natural variation in isomer populations between samples, with the cannonical, PEth 16:0/18:1 (16:0 at sn-1) predominant in all cases. Different reference material isomer distributions led to variation in fully automated quantification of PEth in 56 authentic dried blood spot (DBS) samples when a single quantifier ion was used. Our results suggest caution in ensuring the regioisomeric composition of reference materials are well-matched with the authentic blood samples.

https://academic.oup.com/jat/advance-article-abstract/doi/10.1093/jat/bkaa034/5815966

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Workplace testing

Fully Automated Forensic Routine Dried Blood Spot Screening for Workplace Testing

Abstract

In this study, we describe the transfer of a new and fully automated workflow for the cost-effective drug screening of large populations based on the dried blood spot (DBS) technology. The method was installed at a routine poison control center and applied for DBS and dried urine spot (DUS) samples. A fast method focusing on the high-interest drugs and an extended screening method were developed on the automated platform. The dried cards were integrated into the automated workflow, in which the cards were checked in a camera recognition system, spiked with deuterated standards via an in-built spraying module and directly extracted. The extract was transferred online to an analytical LC column and then to the electrospray ionization tandem mass spectrometry system. The target compounds were analyzed in positive multiple-reaction monitoring mode. Before each sample batch or analysis day, calibration samples were measured to balance inter-day variations and to avoid false negative samples. An internal standard was integrated prior the sample extraction to allow in process control. A total of 28 target compounds were analyzed and directly extracted within 5 min per sample. This fast screening method was then extended to 20 min, enabling the usage of a Forensic Toxicology Database to screen over 1,200 drugs. The method gives confident positive/negative results for all tested drugs at their individual cut-off concentration. Good precision (±15%, respectively ±20% at limit of quantification) and correlation within the calibration range from 5 to 1,000 ng/mL was obtained. The method was finally applied to real cases from the lab and cross-checked with the existing methodologies.

To read the complete publication, click here.

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Baby foot

Validation of an Automated Extraction Procedure for Amino Acids and Acylcarnitines

Abstract

A certified reagent kit for newborn screening was transferred on a fully automated dried blood spot platform. The dried blood spot cards are directly eluted and the extract is online guided to tandem mass spectrometry instrument, where the amino acid and acyl carnitine panel is detected. The method takes 2 minutes per sample and requires no human interaction for up to 500 samples. The method is fully standardized through the automation and the usage of only certified consumables and reference material. The manual reagent kit was first modified to fit the automated platform, secondly validated and third, successfully transferred into a routine newborn screening laboratory.

To read the complete publication, click here

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Baby foot massage

Extended and Fully Automated Newborn Screening Method for MS Detection

Abstract

A new and fully automated newborn screening method for mass spectrometry was introduced in this paper. Pathological relevant amino acids, acylcarnitines, and certain steroids are detected within 4 min per sample. Each sample is treated in an automated and standardized workflow, where a mixture of deuterated internal standards is sprayed onto the sample before extraction. All compounds showed good linearity, and intra- and inter-day variation lies within the acceptance criteria (except for aspartic acid). The described workflow decreases analysis cost and labor while improving the sample traceability towards good laboratory practice.

To read the complete publication, click here.

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Honey bees

Fast analysis of sugars in honey by using the HPTLC PRO System

Introduction

The quantification of simple sugars can be challenging due to their high polarity, low volatility, their lack of a chromophore and their common occurrence in complex matrices [1–3]. HPTLC can separate mono- and oligosaccharides after minimal sample preparation and can sensitively detect these compounds after post-chromatographic derivatization. The published method for quantification of sugars in honey [2] allows analyzing multiple samples on a single plate within approximately 3.7 hours. With the method transferred to the new HPTLC PRO System, this test can be accomplished in about 2.5 hours. An alternative method developed for HPTLC PRO requires just 1.3 hours per plate.

HPTLC allows quantification of sugars in honey and other complex matrices at low running costs. Depending on the level of equipment used, the speed, automation and reliability of the obtained quantitative results can be increased. With the new method developed for the HPTLC PRO System, the main sugars in honey can be investigated in short time and other sugars, such as oligomers present in fermentation processes, can be analyzed at the same time.

Standard solutions

Individual sugars are dissolved in 50% aqueous acetonitrile with sonication to obtain a final concentration of 1.0 mg/mL for qualitative tests, method transfer and method development. For quantification and during determination of the working range, a mixture of fructose, maltose, sucrose, and glucose at concentration levels between 12.5 μg/mL–1000.0 μg/mL is used in 50% aqueous acetonitrile.

Sample preparation

The samples are dissolved in 50% aqueous acetonitrile with sonication to obtain a final concentration of 1.0mg/mL for qualitative tests and are applied in 20-fold dilution for quantification of the two main sugars in honey (fructose, glucose).

Chromatogram layer

HPTLC plates silica gel 60 F254 (Merck), 20 x10 cm are used.

Sample application

Samples and standard solutions are applied as bands with the Automatic TLC Sampler (ATS 4, quantitative settings, 10 μL syringe) or the HPTLC PRO Module APPLICATION using the default settings (two rinsing solutions), 20 tracks, band length 6.0 mm, distance from left edge 18.0 mm, track distance 8.5 mm, distance from lower edge 8.0 mm. 1.0–3.0 μL for sample solutions and 1.0 μL for standard solutions are applied.

Chromatography

(1) Plates are developed in the ADC 2 with chamber saturation (with filter paper, 60 min), after activation at 33% relative humidity (*) for 10 min using a saturated solution of magnesium chloride, followed by 5 min pre-conditioning, development with n-butanol – isopropanol – aqueous boric acid (5 mg/mL) 3:5:1 (V/V) to the developing distance of 85 mm (from the lower edge), followed by drying for 15 min** [2]. (2) Plates are developed in the HPTLC PRO Module DEVELOPMENT after activation at 0% relative humidity (*molecular sieve) for 10 min, followed by 90 s pre-conditioning at 30% pump power, development with n-butanol – isopropanol – aqueous boric acid (5 mg/mL) 3:5:1 (V/V) to the developing distance of 70 mm (from the lower edge), followed by drying for 15 min. (3) Plates are developed in the HPTLC PRO Module DEVELOPMENT after activation at 0% relative humidity (molecular sieve) for 10 min, development with ethyl acetate – methanol – boric acid (5 mg/mL) – acetic acid 50:40:10:2 (V/V) to the developing distance of 70 mm (from the lower edge), followed by drying for 5 min.

Note: *methods (1) and (2) are very robust and no significant differences for the RFvalues were obtained between 0 and 33% relative humidity; **deviation from [2]

Post-chromatographic derivatization

Aniline-diphenylamine-phosphoric acid reagent (ADPA reagent): 2.0 g of diphenylamine and 2.0 mL of aniline are dissolved in 80.0 mL of methanol, 10.0 mL of o-phosphoric acid (85%) are added and the mixture is shaked until any precipitate is dissolved, then again 10.0 mL of methanol are added. The plate is sprayed with the Derivatizer (yellow nozzle, spraying level 6), heated at 110°C for 10 min on the TLC Plate Heater.

Documentation

Images of the plate are captured with the TLC Visualizer 2 at UV 366 nm and white light after derivatization.

Densitometry

Absorbance measurement at 370 nm [3] is performed with TLC Scanner 4 and visionCATS 3.0 (slit dimension 5.00 mm x 0.30 mm, scanning speed 50 mm/s, data resolution 25 μm/step for single-wavelength scan, spectra recording from 350–800 nm).

Results and discussion

The methods have been compared for their consumption of time and consumables, and their repeatability: method (1) with the conditions from [2] by using the ATS 4 and ADC 2, method (2) with the developing solvent from [2] by using the HPTLC PRO Modules APPLICATION and DEVELOPMENT, and method (3) with an alternative developing solvent by using the HPTLC PRO Modules APPLICATION and DEVELOPMENT. All three methods are well suited for quality control of honeys.

The UV/VIS spectra recorded after derivatization show a high signal response for all analytes at 370 nm. Therefore, LODs/LOQs have been determined for the four relevant sugars in honey at this wavelength to facilitate evaluation in routine quality control by using scanning densitometry at a single wavelength (LOD370 nm/LOQ370 nm for fructose and sucrose: 6.0/18.0 ng/zone, for maltose and glucose: 12.0/48.0 ng/zone). The linear working range extends from LOQ370 nm to 125.0 ng/zone.

For the quantification of fructose, maltose, sucrose, and glucose, method (2) is recommended. In this case, the best separation of the four analytes in an optimum RF range is achieved in significantly less run time compared to method (1). To proof the suitability of the method (2) for quantification, four samples of honey have been selected of which one was mixed with maple syrup 1:1 to determine the recovery. The results are listed in Table 2.

Method (3) is best suited for the analysis of sugars of different sizes (mono- and oligomers) and sugar acids of high polarity (e.g. glucuronic acid). The entire migration distance is used for separation whereas methods (1) and (2) are optimized for the separation and quantification of mono- and dimers.

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  • Table 1

    01

    Table 1

  • Table 2

    02

    Table 2

  • Table 3

    03

    Table 3

Conclusion

With the three methods described herein, the principal sugars of honey can be analyzed at low running costs. The instrument investment costs for method (1) are lower, but more time and manual intervention is required for each analysis. Methods (2) and (3) have been developed for routine quality control and a high sample throughput. In this case, the level of automation and reduced time per sample are of greater importance, making the HPTLC PRO System the better choice. Method (3) can be used for sugar analysis in general, e.g. for optimization and monitoring of fermentation processes and for analysis of sugar containing products in divers matrices.

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  • HPTLC chromatograms at white light after derivatization with ADPA reagent: tracks 1–4 standards fructose, maltose, sucrose, and glucose with increasing RF; UV/Vis spectra from 350–800 nm (recorded on the plate obtained with method (3))

    01

    HPTLC chromatograms at white light after derivatization with ADPA reagent: tracks 1–4 standards fructose, maltose, sucrose, and glucose with increasing RF; UV/Vis spectra from 350–800 nm (recorded on the plate obtained with method (3))

  • Calibration curve of sucrose (method 2); blue circle shows the amount detected in the samples maple syrup and wild bee honey mixed with maple syrup.

    02

    Calibration curve of sucrose (method 2); blue circle shows the amount detected in the samples maple syrup and wild bee honey mixed with maple syrup.

  • HPTLC chromatograms of different standards (method 3) at white light after derivatization; track 1: galacturonic acid, 2: glucuronic acid, 3: maltodextrin, 4: fructo-oligosaccharides, 5: raffinose, track 6: maltotriose, 7: lactose, 8: trehalose, 9: galactose, 10: ribose, 11: mannose, 12: arabinose, 13: mixture of fructose, maltose, sucrose, and glucose (250 ng each), 14: fucose, 15: xylose, 16: rhamnose (1 μg each, except for the mixture on track 13)

    03

    HPTLC chromatograms of different standards (method 3) at white light after derivatization; track 1: galacturonic acid, 2: glucuronic acid, 3: maltodextrin, 4: fructo-oligosaccharides, 5: raffinose, track 6: maltotriose, 7: lactose, 8: trehalose, 9: galactose, 10: ribose, 11: mannose, 12: arabinose, 13: mixture of fructose, maltose, sucrose, and glucose (250 ng each), 14: fucose, 15: xylose, 16: rhamnose (1 μg each, except for the mixture on track 13)

Literature

[1] M. K. Islam et al. J Planar Chromatogr (2020) 33(5):489–499
[2] M. K. Islam et al. Molecules (2020) 25(22)
[3] G.E. Morlock, G. Sabir, J Liquid Chromatogr (2011) 34:902–919

Further information on request from the authors.

Contact: Dr. Melanie Broszat, CAMAG, Sonnenmattstrasse 11, 4132 Muttenz, Switzerland, melanie.broszat[at]camag.com

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