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The proposed procedure is based on the local approach for change detection of model parameters.
Here, we report extremely sensitive and specific label-free direct detection of model antigen, β-galactosidase (β-gal), based on surface plasmon resonance (SPR) spectroscopy.
The in vitro release curves presented a lag phase preceding drug release and the in vivo pharmacokinetic data showed a lag time prior to the detection of model drug in saliva.
With the Fok I DNA interaction that can specifically recognize the transcription factor-DNA binding and accurately convert the detection of transcription factors to the detection of DNA, the proposed strategy realized the reliable detection of model target NF-κB NF-κBith a nanomolar detection limit.
The optimized waveform allowed the sensitive and stable detection of model compounds, such as clenbuterol and caffeic acid, that showed detection limits of 0.1 μg L−1 and 14 μg L−1, quantification limits of 0.4 μg L−1 and 46 μg L−1, and linearity up to 100 μg L−1 (r = 0.9993) and 10 mg L−1 (r = 0.9998), respectively.
In conclusion, we synthesized multicolor UCNPs emitting red and green colors for encoding PEGDA microbeads and UCNPs emitting blue color for labeling of reporter antibody and established multiplexed detection of model proteins on the multicolor microbeads.
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In addition, all data from the database or user-files can now be analysed by pair-wise joint mortality modelling and detection of significant model improvement by separately fitted single parameters, i.e. detection of significantly different optimal model parameters.
Finally, variations of individuals and limits of the depth detection of the model were discussed.
This combination was successfully employed for direct detection of a model analyte using Ru III -peroxydisulphate CL system.
The dual-output assay provided good sensitivity for rapid detection of paraoxon (model analyte) with a detection limit of 0.4 ng mL−1.
The first step in well test analysis is the detection of reservoir model and its boundaries usually performed through trial-and-error procedures.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com