June 26th, 2026
This protocol describes a rapid saliva pretreatment method for improving cortisol detection. A handheld filtration device is used to remove mucins and other interfering substances while preserving the target analyte. The pretreated saliva exhibits improved capillary flow, thereby enabling more consistent and reproducible assay performance.
Our research focuses on saliva pretreatment to improve the reliability of cortisol detection. This protocol can be applied to saliva-based biomarker analysis using the lateral flow assay. To begin, gently mix the commercially obtained de-identified pooled human saliva sample before use to ensure homogeneity.
Store the saliva samples at four degrees Celsius and use them within the supplier's recommended storage period. Thaw the pale pink red blood cell membrane or RBCM pellet prepared and stored at 80 degrees Celsius as per a standard protocol. Prepare a polyethersulfone or PES membrane with a pore size of 30 nanometers and a diameter of 13 millimeters.
Deposit 100 microliters of 2%weight per volume RBCM solution onto one side of the PES membrane. Gently spread or dispense the solution drop-wise until the entire membrane surface is fully wetted. Incubate the membrane at 50 degrees Celsius for 30 minutes to ensure uniform coating and drying.
Store the coated membrane at room temperature and use it within 15 days after preparation. To fabricate the SaliFilter device, place the RBCM-coated PES membrane into the designated filter holder. Assemble the device by securely connecting the inlet and outlet components.
Attach a one milliliter syringe to the device inlet. Load 500 microliters of saliva into the syringe connected to the SaliFilter device. Apply gentle manual pressure to pass the saliva sample through the membrane for approximately two minutes.
Collect the pretreated saliva from the outlet and use it immediately or store it at four degrees Celsius until further analysis. After protein detection by SDS-PAGE, apply 150 microliters of pretreated saliva to the sample pad of the LFA strip for cortisol detection. Allow the sample to migrate along the strip for 10 minutes.
Capture images of the test results using a smartphone or imaging system. Drag and drop the captured LFA file into the ImageJ software window. Click on image, choose color, and then select split channels to separate the red, green, and blue channels.
Close the red and blue channels and use the green channel image for test line intensity analysis. Use the rectangle tool to select the region of interest or ROI of 100 by 10 pixels covering the test line. Open the other LFA strip images and apply the same ROI size across all samples.
Click on analyze and choose measure to obtain the mean intensity value of the test line ROI. Next, select an adjacent blank membrane region with the same ROI size and measure the background intensity. Export the values to an Excel spreadsheet and calculate the normalized test line intensity by subtracting the background intensity from the test line intensity.
Evaluation of filtration capability of SaliFilter by comparing turbidity changes against commercial saliva collection kits showed high turbidity in untreated saliva, whereas SaliFilter treated samples appeared visibly clear. Samples processed using commercial kits showed only limited improvement in clarity. Salivary protein quantification by absorbance at 280 nanometers showed an approximate 69%reduction following filtration.
A Bradford assay showed a marked decrease in color intensity in SaliFilter treated samples corresponding to an approximately 80%reduction in total protein concentration. Capillary flow analysis demonstrated that removing mucins restored flow performance in pretreated saliva. SDS-PAGE analysis confirmed that mucins were retained upstream of the membrane and were absent from the processed samples.
This protocol allows researchers to evaluate soluble cortisol after removing proteins and mucins. After filtration, samples can be analyzed by SDS-PAGE, protein assays, ELISA, or Future studies can validate this platform using clinical saliva samples with different cortisol concentrations.
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This article introduces SaliFilter, a handheld saliva pretreatment device designed to enhance the reliability and sensitivity of salivary cortisol detection at the point of care. By efficiently removing high-molecular-weight interfering components such as mucins and salivary proteins, the device enables improved performance of lateral flow assays (LFAs) for cortisol measurement in decentralized and self-monitoring settings.
Reliable salivary cortisol detection is critical for noninvasive biomarker strategies in decentralized and point-of-care settings. The SaliFilter device addresses a key bottleneck by enabling rapid, standardized pretreatment of saliva, improving assay reproducibility and analytical sensitivity. This capability supports robust biomarker workflows and expands the utility of saliva-based diagnostics across early discovery and translational research pipelines.
The SaliFilter device integrates at the sample preparation stage, upstream of lateral flow assay-based cortisol quantification, supporting workflows from early biomarker discovery through translational validation.