BCA Assay Calculator

Calculate protein concentration from BCA assay with statistical analysis

Standard Curve (BSA)

Concentration (µg/mL)Absorbance (562nm)

Sample Replicates

Sample Concentration

624.2 µg/mL

± 3.3 µg/mL

Statistical Analysis

Mean Absorbance0.8500
Std Deviation0.0041
CV%0.48%

Curve Fit

Equationy = 0.001220x + 0.0887
0.9964

Working Range

BCA assay linear range: 25-2000 µg/mL (standard protocol) or 0.5-20 µg/mL (enhanced protocol)

About BCA Assay

The BCA (Bicinchoninic Acid) assay is a colorimetric protein quantification method based on Cu²⁺ reduction to Cu⁺ in alkaline conditions, followed by BCA chelation producing a purple color.

  • Detection range: 20-2000 µg/mL (standard) or 0.5-20 µg/mL (micro)
  • Wavelength: 562 nm
  • Advantages: Compatible with detergents, stable color, wide dynamic range
  • Limitations: Temperature-sensitive, reducing agent interference

What the BCA Assay Calculator Does

The BCA assay calculator turns raw bicinchoninic acid (BCA) protein assay absorbance readings into a usable protein concentration. You enter the absorbance values measured for a series of bovine serum albumin (BSA) standards of known concentration, plus the replicate absorbance readings for your unknown sample, and the BCA assay calculator fits a standard curve, back-calculates the sample concentration, applies your dilution factor, and reports the statistical quality of both the curve and your replicates.

The BCA assay is one of the most widely used protein quantification methods in molecular biology and biochemistry. It works because protein reduces cupric ions (Cu²⁺) to cuprous ions (Cu⁺) under alkaline conditions, and two molecules of bicinchoninic acid then chelate each Cu⁺ ion to form an intense purple complex that absorbs strongly at 562 nm. The amount of purple color produced is proportional to the amount of protein present, so a calibration curve built from BSA standards lets you read protein concentration directly off an absorbance value.

Rather than eyeballing a curve or trusting a single reading, this calculator performs a least-squares linear regression through all your standards, reports the slope, intercept, and the coefficient of determination (R²), and then propagates your replicate scatter into a concentration uncertainty. That makes it useful for protein sample prep, normalizing protein loads for SDS-PAGE and Western blots, and validating that your standard curve is good enough to trust.

BCA Assay Standard Curve Formula

This BCA assay calculator builds the calibration curve using ordinary least-squares linear regression, treating standard concentration as the independent variable x and absorbance as the dependent variable y. The fitted line has the familiar form y = mx + b, where m is the slope and b is the intercept. Once the line is fitted, the unknown sample concentration is found by inverting the equation: the mean absorbance of your replicates minus the intercept, divided by the slope.

The slope and intercept are computed from the closed-form least-squares equations, where n is the number of standards:

  • Slope: m = (n · Σxy − Σx · Σy) / (n · Σx² − (Σx)²)
  • Intercept: b = (Σy − m · Σx) / n
  • Sample concentration: C = (A̅ − b) / m, where A̅ is the mean replicate absorbance
  • Original concentration: C₀ = C × dilution factor

The goodness of fit is reported as R² = 1 − (SSres / SStot), where SSres is the sum of squared residuals between measured and predicted absorbances and SStot is the total sum of squares about the mean absorbance. An R² above 0.99 indicates an excellent linear standard curve over the working range.

Sample Concentration from the BCA Standard Curve

C0 = ((mean(A) - b) / m) x DF, where m = (n*Sxy - Sx*Sy) / (n*Sx2 - Sx^2), b = (Sy - m*Sx) / n

Where:

  • C0= Original (undiluted) protein concentration in ug/mL
  • mean(A)= Mean absorbance of the sample replicates at 562 nm
  • m= Slope of the fitted standard curve (absorbance per ug/mL)
  • b= Y-intercept of the fitted standard curve (blank absorbance)
  • DF= Dilution factor applied to the sample before reading
  • n= Number of BSA standards used to build the curve
  • Sx, Sy, Sxy, Sx2= Sums of x, y, xy, and x-squared across all standards

Replicate Statistics and Concentration Uncertainty

Beyond the curve fit, the BCA assay calculator analyzes the precision of your sample by working with the replicate absorbance readings you enter. It computes the mean absorbance, the population standard deviation of the replicates, and the coefficient of variation (CV%), which expresses that standard deviation as a percentage of the mean. The CV% is the single most useful precision metric for an assay, because it is dimensionless and directly comparable between samples and plates.

The standard deviation of the replicates is then divided by the curve slope to express measurement scatter in concentration units rather than absorbance units, and that value is multiplied by the dilution factor to give the uncertainty on the reported original concentration. This is the ± value shown next to the headline result.

CV% Quality Action
< 5%ExcellentAccept the result as reported
5–10%AcceptableUsable, but check pipetting consistency
> 10%PoorRepeat replicates or re-run the assay

Low CV% values typically come from consistent pipetting, well-mixed working reagent, and identical incubation timing across wells. High CV% often points to bubbles, evaporation at plate edges, or uneven temperature during the 37°C incubation step.

Working Range and Choosing the Right Protocol

The BCA assay has two common formats with different working ranges, and choosing the right one is essential for an accurate result from this calculator. The standard protocol is linear from roughly 20 to 2000 µg/mL, while the enhanced or micro protocol extends sensitivity down to about 0.5 to 20 µg/mL for dilute samples. Readings should fall comfortably within the bracket of your standards; samples above the top standard should be diluted and re-read, and the dilution factor entered into the calculator so the original concentration is recovered.

The default standard curve in this calculator uses eight BSA points from 0 to 2000 µg/mL, which mirrors the classic Pierce BCA standard set. Because absorbance climbs steadily with concentration over this range, the regression typically returns an R² well above 0.99. If your highest standards begin to plateau or curve, the relationship is no longer linear, R² will drop, and you should either trim the upper standards or use a polynomial fit outside this tool.

Keep in mind that the BCA reaction does not reach a true endpoint; color continues to develop slowly over time. Reading all wells at a consistent time after incubation, and always including a blank (0 µg/mL standard), keeps the intercept meaningful and the protein quantification reproducible. The blank reading becomes the y-intercept of the fitted line and represents the background color of the working reagent itself.

BCA Assay vs Bradford and Lowry

Researchers choosing a protein assay often weigh the BCA assay against the Bradford and Lowry methods. Each relies on a different chemistry and has distinct compatibilities, so understanding the trade-offs helps you decide which calculator and protocol to use.

Feature BCA Bradford Lowry
Read wavelength562 nm595 nm750 nm
Detergent compatibleYesNoPartially
Reducing agent interferenceHighLowHigh
Protein-to-protein variabilityLowHighModerate

The BCA assay's main strength is its tolerance of detergents such as SDS and Triton X-100, which makes it the default choice for membrane protein and lysate quantification. Its main weakness is sensitivity to reducing agents like DTT and beta-mercaptoethanol, which themselves reduce Cu²⁺ and inflate the apparent protein concentration. When those reagents are unavoidable, the Bradford assay is often the safer alternative because it is far less sensitive to reducing agents, though it cannot tolerate detergents.

How to Use the BCA Assay Calculator

Using the BCA assay calculator takes only a few inputs. First, enter your BSA standard concentrations and their measured absorbance values at 562 nm. The defaults provide a typical eight-point curve from 0 to 2000 µg/mL, but you can edit every concentration and absorbance to match your own plate. Always include a blank standard at 0 µg/mL so the intercept captures the reagent background.

  1. Enter standards: type each known BSA concentration and its absorbance.
  2. Enter replicates: add the absorbance readings for your unknown sample, ideally in triplicate.
  3. Set the dilution factor: if you diluted the sample before reading, enter the factor so the original concentration is recovered.
  4. Read the results: the calculator reports sample concentration with uncertainty, mean absorbance, standard deviation, CV%, the curve equation, and R².

Check R² first to confirm the standard curve is linear, then check CV% to confirm your replicates are precise. If both look good, the reported concentration is reliable for downstream applications such as equalizing protein loads, calculating total protein yield, or normalizing enzyme activity.

Worked Examples

Default eight-point curve, sample at 0.850 absorbance

Problem:

Using the default BSA standards (0 to 2000 ug/mL) and triplicate sample readings of 0.845, 0.855, and 0.850 with a dilution factor of 1, find the protein concentration.

Solution Steps:

  1. 1Linear regression over the eight standards gives slope m = 0.001220 and intercept b = 0.0887, so the curve is y = 0.001220x + 0.0887 with R-squared = 0.9964.
  2. 2Mean replicate absorbance = (0.845 + 0.855 + 0.850) / 3 = 0.8500.
  3. 3Sample concentration C = (0.8500 - 0.0887) / 0.001220 = 624.2 ug/mL.
  4. 4Original concentration = 624.2 x 1 (dilution factor) = 624.2 ug/mL.

Result:

Protein concentration approximately 624.2 ug/mL, with R-squared = 0.9964 and CV% = 0.48% (excellent precision).

Diluted lysate read at higher absorbance

Problem:

A cell lysate was diluted 10-fold before the BCA reaction. Triplicate readings are 1.200, 1.210, and 1.205 on the same default standard curve. Find the original concentration.

Solution Steps:

  1. 1Use the fitted default curve: slope m = 0.001220, intercept b = 0.0887.
  2. 2Mean replicate absorbance = (1.200 + 1.210 + 1.205) / 3 = 1.2050.
  3. 3Diluted-sample concentration C = (1.2050 - 0.0887) / 0.001220 = 915.3 ug/mL.
  4. 4Original concentration = 915.3 x 10 (dilution factor) = 9152.6 ug/mL.

Result:

Original lysate concentration approximately 9152.6 ug/mL (about 9.15 mg/mL).

Estimating slope from two endpoint standards

Problem:

As a quick sanity check, estimate the curve slope from just the blank (0 ug/mL, A = 0.055) and the top standard (2000 ug/mL, A = 2.450).

Solution Steps:

  1. 1Slope from two points = (A2 - A1) / (C2 - C1).
  2. 2Plug in values: (2.450 - 0.055) / (2000 - 0) = 2.395 / 2000.
  3. 3Two-point slope = 0.001197 absorbance per ug/mL.

Result:

The two-point estimate of 0.001197 is close to the full least-squares slope of 0.001220, confirming the curve is approximately linear.

Tips & Best Practices

  • Always run standards and samples on the same plate and read them at a consistent time after the 37C incubation.
  • Include a blank at 0 ug/mL so the fitted intercept reflects reagent background.
  • Aim for triplicate replicates to get a reliable CV% and concentration uncertainty.
  • Dilute any sample that reads above the top standard, then enter the dilution factor.
  • Avoid reducing agents like DTT and beta-mercaptoethanol, which falsely raise BCA readings.
  • Mix the working reagent thoroughly and keep all wells at the same temperature to lower CV%.
  • Check R-squared above 0.99 before trusting the curve, and re-run if it falls lower.
  • Use the micro protocol (0.5 to 20 ug/mL) for dilute samples instead of the standard range.

Frequently Asked Questions

Bovine serum albumin (BSA) is the most common standard because it is inexpensive, highly pure, and stable. It produces a reliable, reproducible color response with BCA reagent, which makes it ideal for building a calibration curve. If your sample protein differs greatly in composition, you can substitute a more representative standard to reduce protein-to-protein bias.
An R-squared above 0.99 indicates an excellent linear fit across the working range. Values between 0.98 and 0.99 are usually still acceptable but suggest some scatter or mild nonlinearity at the high end. If R-squared drops below 0.98, you should inspect individual standards, possibly trim the highest points, or re-run the assay.
The coefficient of variation (CV%) measures how tightly your replicate readings agree, expressed as a percentage of their mean. A CV% under 5% is excellent and indicates consistent pipetting and incubation. Values above 10% signal poor precision and usually mean you should repeat the replicates or the whole assay.
If the sample absorbance exceeds your highest standard, the concentration falls outside the validated linear range and the result is unreliable. Dilute the sample, re-run the assay, and enter the dilution factor into the calculator so it multiplies back to the original concentration. Reading within the standard bracket keeps the regression accurate.
Yes. Reducing agents such as DTT and beta-mercaptoethanol reduce cupric ions on their own, which inflates the apparent protein concentration and biases the result high. If you cannot remove them, use a compatible buffer, dilute below the interference threshold, or switch to the Bradford assay, which is far less sensitive to reducing agents.
The blank captures the background absorbance of the BCA working reagent itself, which is not zero because some color develops without protein. Including it lets the regression compute a meaningful y-intercept rather than forcing the line through the origin. This improves the accuracy of every back-calculated concentration.

Sources & References

Last updated: 2026-06-05

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This page is maintained as an educational calculator reference.

Source

Formula Source: Standard Mathematical References

by Various

UpdatedLast reviewed: May 2026
CheckedFormula checks are based on standard references and internal QA review.

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