Case Study
i.prep 2 delivers linear tartrazine dilution performance at OD450.
A 1:2 serial dilution of tartrazine prepared at 120 uL per well and read on the byonoy absorbance 96 plate reader at 450 nm produced a first-order linear regression fit of R^2 = 0.9994, showing that i.prep 2 maintained strong dilution fidelity across the series.
Summary
The measured OD values track closely with the expected concentration progression from 100 mg/mL to 3.125 mg/mL. The near-unity first-order fit indicates that the serial dilution steps were transferred consistently, while the eight replicate wells at each level remain tightly grouped across the plate.
In practical terms, the optical response shows both linear dilution behaviour and repeatable pipetting performance. The plate map confirms that the pattern is stable across the eight replicate rows, and the blank wells in column 7 remain low relative to the lowest standard.
Higher-order or weighted fitting could be used to massage the calibration slightly, especially near the low end of the range, but that is not necessary here. The i.prep 2 output is good enough that a basic first-order regression already makes the performance clear.
Key results
Regression fit
R^2 0.9994
Detection wavelength
450 nm
Dispense volume
120 uL
Dilution series
1:2 tartrazine
Replicates per level
8 wells
Blank control
A7:H7 mean OD 0.032
Linearity of measured OD450 response
Points = mean absorbance per standard, dashed line = first-order fit from the byonoy export
Plate layout and OD distribution
Columns 1 to 6 are the 1:2 standards, and wells A7:H7 form the blank control column
The linearity result is driven by measured mean absorbance values of 2.835, 1.385, 0.765, 0.398, 0.212, and 0.114 OD across the six tartrazine standards, with blank wells A7:H7 averaging 0.032 OD. This produces a clear monotonic response over the full 1:2 dilution range.
The first-order fit reported by the byonoy absorbance 96 output was y = 0.0278306x + 0.0384111 with R^2 = 0.9994. Although higher-order or weighted fitting models could be applied to optimise a calibration curve, that is not necessary to show the performance of this dilution series.
When a straightforward linear model captures the series this well, it suggests that the dilution preparation and dispensing steps were executed consistently enough that the underlying relationship does not need mathematical help to appear well behaved. In this dataset, the quality of the i.prep 2 output is visible directly in the measured OD450 values rather than being recovered through more aggressive curve fitting.
Replicate consistency across the plate supports the same conclusion from a pipetting perspective. Each standard was present in eight wells, and the replicate values remain closely clustered within each concentration level, with absorbance CV ranging from 0.297% at the highest standard to 8.747% at the lowest standard where signal approaches the blank floor.
A more complex fit could reduce residuals slightly or improve back-calculated values at the lowest concentrations near the blank floor. That would massage the numbers, but it would not change the more important observation: i.prep 2 already produces a dilution series that is convincingly linear under a basic first-order regression.
This fit should be interpreted as evidence of strong dilution fidelity and repeatable pipetting within this assay configuration. It does not by itself constitute full validation of absolute volumetric accuracy, mixing performance under all conditions, or behaviour across other liquids, consumables, concentration ranges, or reader settings.
Standard-by-standard summary
| Level | Nominal conc. (mg/mL) | Mean OD450 | CV (%) | Calculated conc. (mg/mL) |
|---|---|---|---|---|
| Standard 1 | 100 | 2.835 | 0.297 | 100.486 |
| Standard 2 | 50 | 1.385 | 2.346 | 48.394 |
| Standard 3 | 25 | 0.765 | 3.016 | 26.103 |
| Standard 4 | 12.5 | 0.398 | 3.971 | 12.939 |
| Standard 5 | 6.25 | 0.212 | 7.678 | 6.237 |
| Standard 6 | 3.125 | 0.114 | 8.747 | 2.716 |
| Blank | 0 | 0.032 | 7.062 | - |
Want to discuss assay linearity, dilution workflows, or pipetting performance on i.prep 2? Contact the team.
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