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ELISA Controls Guide


Understanding ELISA Controls 

A Guide to Optimal Accuracy and Reproducibility


ELISA (Enzyme-Linked Immunosorbent Assay) is a powerful tool used in diagnostics, research, and drug development. However, the accuracy and reliability of your ELISA results depend heavily on how well you design your plate layout and incorporate proper controls.


In this guide, you'll learn how to set up essential ELISA controls, including standards, blanks, spiked matrices, and total activity wells. We'll walk you through how to organize your samples in duplicates, minimize variability, and interpret the data with confidence.


Whether you're new to ELISA or looking to fine-tune your current workflow, this page will help you achieve high assay precision, reduce background noise, and ensure your results are statistically valid. 

Overview

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Example ELISA Plate Layout

Figure 1. 96-well plate layout example. Wells from colum 1 to 2 include standard dilutions to generate dilution standard curve. NSB/S0/Blank and Wavelength controls at row G and H on the same colums serve as negative controls. Positive controls are also included, Total Activity and Spiked Matrix, alongside 38 samples. All samples and controls should be run minimun in duplicates for greater accuracy and reliability. See furhter details about controls in table below. 
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All ELISA Controls

When designing an ELISA plate, not all controls are created equal. Some are essential for generating valid, interpretable results, while others depend on your sample type, assay format, and project goals.

Use mandatory controls every time to ensure your assay is functional and data is valid. Add project-dependent controls when working with difficult samples, seeking publication-quality data, or validating a new assay.

inventory   Mandatory Controls
  • Standards: Required to generate the standard curve for quantifying unknowns.
  • Zero Standard (S0) / NSB (Non-Specific Binding) Controls: Contains all reagents except the analyte and helps assess background signal from reagents of matrix. Also referred as Sample Blank.
  • Positive Control: Confirms the assay is functioning correctly by producing a known positive signal. Although ideal for all ELISA experiments, this approach is primarily applied during assay validation or when troubleshooting specific issues.
search   Optional Controls

These controls enhance data quality or troubleshoot complex variables but may not be necessary in all settings. These could include Wavelength Control, Negative Matrix Control, Total Activity Control and more


The use of additional controls is determined by the researcher and should be guided by the specific needs of the project and the characteristics of the samples being tested.


For further information about all the possible controls, please see Table 1.


Table 1. Comparison of all  possible controls (mandatory and optional) that can be used on an ELISA experiments. 
ControlBlankS0 (Zero Standard)Non-specific binding (NSB)Secondary AntibodyWavelength ControlNegative Matrix ControlStandardsB0 ControlTotal Activity ControlPositive matrix ControlSpiked Matrix ControlEndo-genous protein control
TypeNegativeNegativeNegativeNegativeNegativeNegativePositivePositivePositivePositivePositivePositive
ELISA FormatAllSandwich, Direct, IndirectCompeti-tive with enzyme-conjugated analyteIndirect & SandwichAllAllAll, specially complex sample matrixCompeti-tiveAllAll, specially complex sample matrixAllOnly for DIY ELISA
DefinitionEmpty well or with dilution bufferEverytime when performed an ELISAEverytime when performed competitive ELISAIndirect or Sandwich ELISA in absence of detection AbAbsorbance measured at different wavelength than substrateRun with sample matrix free from analyteKnown concentra-tions of purified antigenSame as S0 but applied in competitive ELISASmall amount of enzyme-conjugated protein and substrate incubationSame matrix as sample with known endoge-neous analyteSample matrix spiked with a known quantity of purified antigenKnown quantity of endoge-nous protein
PurposeSubstract absorbance from plastic plate and bufferIdentifies back-ground due to non-specific bindingIdentifies back-ground due to non-specificIdentifies back-ground caused by NSB of labeled secondary AbIdentifies background caused by plastic plate artefactsDetermines contribution of analyte to final absorbanceTest functionality and allows quantitative detection of analyteTests for functionality in competitive ELISA, achieves max colourTests for enzymatic activityHelps to identify matrix interference with known analyte when comparing to known standardsHelps to identify matrix interference comparing to diluted standardsTo confirm standards behave like endoge-nous protein
NotesOften skipped. S0, NSB or wavelength controls as alternativesOften used to correct measurements values, or as lowest point on standard curveSometimes also used as general term to refer to S0 controlsSometimes grouped in as an NSB controlUsually performed by the micropate readerDifficult to obtain real sample free from analyteAlways run in all quantitative ELISAUsed as a reference against which to compare test valuesUsed for qualitative control onlySpiked control often preferred% Recovery should be 100%, deviation > 20% suggests matrix interferenceNot needed in most ELISA experi-ments
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Common ELISA Issues Caused by Poor Control Strategy

If standards are improperly prepared, contaminated, degraded, or pipetted inconsistently, the resulting standard curve will be unreliable. This leads to inaccurate quantification of analytes in samples.

Lack of or poorly implemented NSB/S0 (zero standard) controls can result in background noise being mistaken for true signal, reducing assay specifcity and increasing false positives.

Failure to include a Positive Control (such as a sample with known high signal) can make it difficult to distinguish between true negatives and a failed assay run (e.g., due to reagent degradation).

Inconsistent placement or omission of spiked matrix or quality control (QC) samples leads to variability between runs and across plates, making it difficult to compare data or validate results.

Omitting a spiked matrix control (where the standard is added to the sample matrix) can mask matrix effects, leading to over- or underestimation of the analyte due to interference from serum, plasma, or tissue lysates.

Improper pipetting or reusing tips between standard wells can lead to cross-contamination, distorting the standard curve and impacting downstream quantification.
If wavelength reference wells (blank wells without substrate or sample) are not used, plate reader measurements may include background absorbance from plastic, buffer, or media, skewing the data.
Using expired or improperly stored control reagents can result in reduced signal or complete assay failure, which is hard to interpret without reliable positive and negative controls.
If blanks or negative controls are missing or mislabeled, it's difficult to set accurate thresholds for detection, which can cause false positives or negatives.


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