Retinol Quantification
Retinol Quantification - Related Videos
14:32
Real-time Analyses of Retinol Transport by the Membrane Receptor of Plasma Retinol Binding Protein
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Cited by 11 •
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Here we describe an optimized technique to produce high-quality vitamin A/RBP complex and two real-time monitoring techniques to study vitamin A transport by STRA6, the RBP receptor.
08:44
Invertebrate Lifespan Quantification
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06:25
Using Computer Vision Libraries to Streamline Nuclei Quantification
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Cited by 1 •
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This article describes step-by-step methods to automate image-based nuclei quantification using an open-source executable program validated across a range of cell densities. This program provides an alternative that addresses barriers related to cost, accessibility for users with limited technological skillsets, and application-specific validation that may limit utility of existing technologies.
08:38
Quantification of the Immunosuppressant Tacrolimus on Dried Blood Spots Using LC-MS/MS
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Cited by 29 •
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Here we describe a high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) assay to quantify the immunosuppressant tacrolimus in dried blood spots using a simple manual protein precipitation step and online column extraction.
07:50
Automating Aggregate Quantification in Caenorhabditis elegans
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Cited by 3 •
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The following protocol describes the development and optimization of a high-throughput workflow for worm culturing, fluorescence imaging, and automated image processing to quantify polyglutamine aggregates as an assessment of changes in proteostasis.
FAQs
Quantification depends on linking detector response to known reference standards through a calibration curve. The measured signal from an extracted and chromatographically separated sample is compared with that curve to estimate retinol concentration. This calibration step makes the result interpretable across biological samples, foods, and chemical preparations, rather than treating detector intensity alone as a concentration.
Retinol can be lost through light- and oxidation-related degradation during handling. Such losses lower the amount reaching the measurement stage and can produce a biased concentration estimate. Protecting the sample from these influences is therefore part of analytical reliability, especially when results are used to assess stability or compare biological and nutritional samples.
Liquid chromatography separates retinol from related lipophilic compounds before detection. This separation helps ensure that the detector response is associated more specifically with retinol rather than with other substances extracted from the sample. The approach is therefore important when biological materials, foods, or preparations contain multiple chemically similar compounds that could otherwise complicate interpretation.
A measured retinol concentration provides a basis for evaluating biological availability, but the analytical result must be interpreted in its biochemical context. Concentration data can contribute to studies of vitamin A metabolism and retinoid biology, while sample stability and handling determine whether the measured amount accurately reflects the material present before analysis.
A typical workflow begins with extracting retinol from the selected sample, followed by liquid-chromatographic separation from related lipophilic compounds. A detector then records the response, which is evaluated against reference standards and a calibration curve. Together, these stages connect the original sample to an estimated retinol concentration suitable for biochemical or quality-related interpretation.
In biochemistry, these measurements support investigations of vitamin A metabolism, nutritional status, and retinoid biology. They allow researchers to examine how much retinol is present in relevant biological material and to relate concentration data to broader questions about vitamin A handling. The same analytical basis can also support comparisons among samples or preparations.
For foods and chemical preparations, retinol quantification can provide information about concentration and stability. Measurement after extraction, chromatographic separation, and calibration helps determine how much retinol is present, while careful handling limits losses that could obscure the preparation's actual content. These results support evaluation of formulation quality and the persistence of retinol during analysis.
A result may misrepresent the original sample if retinol is lost through light- or oxidation-related effects before detection. Inadequate separation from related lipophilic compounds could also complicate the detector response. Because the final estimate depends on both sample handling and calibration against reference standards, these analytical factors must be considered when interpreting concentration data.