Human HSP90 alpha ELISA Kit

What it means: Assay Type describes how the kit generates its signal and whether it reports concentrations. For this kit the assay type is Sandwich (Quantitative), so a higher optical density means more analyte in the well. Standards and samples are run on the same plate and compared through the standard curve.

Why it matters:

• The format sets the direction of the signal and the shape of the standard curve.
• Knowing the format helps when choosing curve-fitting settings in the analysis software.

How to interpret here: For this Sandwich (Quantitative) assay, run the full standard series on every plate and calculate sample values from that plate's own curve; a four-parameter logistic fit is a common choice.

Tip: Run standards and samples in duplicate and include a blank on every plate.

What it means: Sample Type lists the sample matrices recommended for this kit: Serum, Plasma, Other Biological Fluid Samples. Each matrix can affect background and recovery differently, so the sample type should match the matrix used in the study.

Why it matters:

• Lipids, hemoglobin and anticoagulants in a sample can change background and recovery.
• Following the recommended dilution helps keep readings within the standard curve.
• Collection, storage and freeze-thaw history can affect results, so handle all samples in a study the same way.

How to interpret here: For Serum, Plasma, Other Fluids, follow the sample handling and dilution guidance on the datasheet; check dilution linearity and spike recovery before testing many samples in a new matrix.

Tip: For Serum, Plasma, Other Fluids, compare results only between samples of the same matrix and avoid repeated freeze-thaw cycles.

What it means: Detection Range is the span of the standard curve within which concentrations can be calculated reliably. For this kit the detection range is 3.1 - 200 ng/mL. Values outside this span should not be reported directly.

Why it matters:

• Samples above the top standard must be diluted and run again.
• Readings near either end of the curve carry more error than mid-curve readings.
• A pilot run with a few representative samples at two or three dilutions shows which dilution suits the whole study.

How to interpret here: Choose a sample dilution so that expected values fall well inside 3.1 - 200 ng/mL, ideally near the middle of the curve, then multiply by the dilution factor.

Tip: Do not extrapolate beyond the standard curve; run the sample again at another dilution instead.

What it means: Sensitivity is the lowest concentration the assay can distinguish from zero. For this kit the sensitivity is 0.81 ng/mL. Readings close to the detection limit carry more uncertainty than mid-curve readings.

Why it matters:

• It shows whether low levels of the analyte can be detected at all.
• Diluting a sample raises the effective lower limit in the original sample.
• Sensitivity describes the detection limit only; the lowest standard of the curve sets the lowest value that can be quantified reliably.

How to interpret here: Treat readings close to 0.81 ng/mL as near the detection limit; for quantitation, rely on values that fall within the standard curve.

Tip: Use the smallest dilution that keeps samples inside the curve when low levels are expected.