Quantitative inkjet application on self-printed, binder-free HPTLC layers for submicromole-scaled analytical 1H NMR spectroscopy

Yüce, Imanuel; Mayr, Milena; Morlock, Gertrud E.

doi:10.1016/j.aca.2019.08.013

Cited by 11 publications

(5 citation statements)

References 14 publications

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“…In the case of NMR, the integration still remains in off-line mode and all applications are very limited when compared with HPTLC-MS due probably to the inherent low sensitivity of NMR. However, recently, 1 H NMR was well integrated to HPTLC at a submicromole level of detection [52]. Thus, it is assumed that the potential of HPTLC-based chemical profiling techniques would be strengthened by further combination with post analytical platforms, that consequently open the path to get a deeper understanding of fungal interactions at both biological and metabolite levels.…”

Section: Discussionmentioning

confidence: 99%

HPTLC-Based Chemical Profiling: An Approach to Monitor Plant Metabolic Expansion Caused by Fungal Endophytes

et al. 2021

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Fungal endophytes isolated from two latex bearing species were chosen as models to show their potential to expand their host plant chemical diversity. Thirty-three strains were isolated from Alstonia scholaris (Apocynaceae) and Euphorbia myrsinites (Euphorbiaceae). High performance thin layer chromatography (HPTLC) was used to metabolically profile samples. The selected strains were well clustered in three major groups by hierarchical clustering analysis (HCA) of the HPTLC data, and the chemical profiles were strongly correlated with the strains’ colony size. This correlation was confirmed by orthogonal partial least squares (OPLS) modeling using colony size as “Y” variable. Based on the multivariate data analysis of the HPTLC data, the fastest growing strains of each cluster were selected and used for subsequent experiments: co-culturing to investigate interactions between endophytes-phytopathogens, and biotransformation of plant metabolites by endophytes. The strains exhibited a high capacity to fight against fungal pathogens. Moreover, there was an increase in the antifungal activity after being fed with host-plant metabolites. These results suggest that endophytes play a role in plant defense mechanisms either directly or by biotransformation/induction of metabolites. Regarding HPTLC-based metabolomics, it has proved to be a robust approach to monitor the interactions among fungal endophytes, the host plant and potential phytopathogens.

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Section: Discussionmentioning

confidence: 99%

HPTLC-Based Chemical Profiling: An Approach to Monitor Plant Metabolic Expansion Caused by Fungal Endophytes

et al. 2021

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“…A single separation of many samples can be performed simultaneously. Besides, as a flexible and versatile analysis platform, HPTLC is compatible with many state-of-the-art detections not working with conventional column chromatography, such as densitometry [15] , effect-direct assay [16][17][18] , surface enhanced Raman [19][20] , nuclear Magnetic Resonance [21][22] and mass spectrometry [23][24] . More importantly, HPTLC could be used as an image-giving platform enabling the visualization of the results straightforwardly for eye-inspection [25][26][27] .…”

Section: Food Science and Human Wellnessmentioning

confidence: 99%

Bio-screening and quantification of methyl paraben in vinegar and coconut juice separated by HPTLC

Chen¹,

Xi²

2024

Food Science and Human Wellness

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As a widely used food preservative, methyl paraben was experimentally evidenced with serious hormonelike adverse effects. Herein, a high performance thin-layer chromatography platformed bioluminescent bioautography and image analysis for the selective quantifi cation and confi rmation of methyl paraben was proposed and validated in vinegar and coconut juice. First, the detectability of the bioautography to the analyte on different layer materials was estimated, revealing that normal silica gel was the best choice. After that, the liquid of sample extract and working solution were separated to overcome the background noises due to co-extracted matrices. The separation result was then coupled to the optimized bioautography, enabling instant and straightforward screening of the targeted compound. For accurate quantifi cation, bioluminescent inhibition pattern caused by the analyte was processed by image analysis, giving useful sensitivity (LOD > 16 mg/kg), precision (RSD < 10.1%) and accuracy (spike-recovery rate 76.9%-112.2%). Finally, the suspected result was confi rmed by determining its MS fi ngerprint, further strengthening the reliability of screening.

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“…In a recent study, Yuce et al combined H 1 nuclear magnetic resonance (H-NMR) and high-performance thin-layer chromatography (HPTLC). [50] Both the HPTLC layer preparation as well as the analyte deposition were established by means of quantitative inkjet printing techniques to enable 1 H NMR spectroscopy with a submicromole detection sensitivity. In general, HPTLC plates provide an improved analyte separation, a better resolution of the developed analytes as well as a reduced amount of the analyte compared to thin-layer chromatography or preparative layer chromatography.…”

Section: Implementation Of Inkjet Deposition In Analytical Instrumentsmentioning

confidence: 99%

Inkjet Printing and 3D Printing Strategies for Biosensing, Analytical, and Diagnostic Applications

2022

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Inkjet printing and 3D inkjet printing have found many applications in the fabrication of a great variety of devices, which have been developed with the aim to improve and simplify the design, fabrication, and performance of sensors and analytical platforms. Here, developments of these printing technologies reported during the last 10 years are reviewed and their versatile applicability for the fabrication of improved sensing platforms and analytical and diagnostic sensor systems is demonstrated. Illustrative examples are reviewed in the context of particular advantages provided by inkjet printing technologies. Next to aspects of device printing and fabrication strategies, the utilization of inkjet dispensing, which can be implemented into common analytical tools utilizing customized inkjet printing equipment as well as state‐of‐the‐art consumer inkjet printing devices, is highlighted. This review aims to providing a comprehensive overview of examples integrating inkjet and 3D inkjet printing technologies into device layout fabrication, dosing, and analytical applications to demonstrate the versatile applicability of these technologies, and furthermore, to inspire the utilization of inkjet printing for future developments.

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Quantitative inkjet application on self-printed, binder-free HPTLC layers for submicromole-scaled analytical 1H NMR spectroscopy

Cited by 11 publications

References 14 publications

HPTLC-Based Chemical Profiling: An Approach to Monitor Plant Metabolic Expansion Caused by Fungal Endophytes

HPTLC-Based Chemical Profiling: An Approach to Monitor Plant Metabolic Expansion Caused by Fungal Endophytes

Bio-screening and quantification of methyl paraben in vinegar and coconut juice separated by HPTLC

Inkjet Printing and 3D Printing Strategies for Biosensing, Analytical, and Diagnostic Applications

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