Table 1
HTML output of first five rows and columns of gold nanoparticles in water. This built-in dataset is preset with a stored baseline and reference spectra, and has column labels of timestamps.
| Gold Nanoparticles in Water (5 X 5) | [timestamp X nanometers] | lunit: Counts (photons) | |||
|---|---|---|---|---|---|
| Baseline: Found (no sub) | Reference: Found | Normalization: None | |||
| 2013-02-04 | 2013-02-04 | 2013-02-04 | 2013-02-04 | 2013-02-04 | |
| 15:40:48 | 15:41:34 | 15:42:20 | 15:43:06 | 15:43:52 | |
| 200 | 305.53 | 306.31 | 305.23 | 305.17 | 307.22 |
| 201 | 311.67 | 313.43 | 312.75 | 314.12 | 314.88 |
| 202 | 318.09 | 319.56 | 319.12 | 319.51 | 319.13 |
| 203 | 323.47 | 324.90 | 322.34 | 324.48 | 325.61 |
| 204 | 340.97 | 340.09 | 340.86 | 342.99 | 341.78 |
Fig. 1
Gold nanoparticles in water visualized: the data is stored in a TimeSpectra class. Baseline and reference are overlaid as dashed lines in black and magenta, respectively. Reference is user-selected, in this case set to the first curve in the dataset.
Fig. 2
Absorbance of AuNPs increases after the addition of bovine serum albumin protein, due to binding between the protein and gold surface. The amount of protein bound to the surface is related to the size of the shift in peak position.
Fig. 3
Absorbance spectra maximum vs. time shows the movement of the plasmon resonance position after protein binds to the AuNPs.
Fig. 4
IPython Notebook GUI for plotting, slicing, resampling, changing units and IO.
Fig. 5
Asynchronous correlation spectrum of gold nanoparticle absorbance at wavelengths ranging from 200–600nm. The strong cross peaks between the UV and plasmon resonance regions (roughly 525–550nm) corresponds to the time after nanoparticle-protein binding is saturated. Addition of more protein causes a UV response, but no response in the plasmon resonance region, resulting in this asynchronicity. Sideplots show the mean-centered average spectrum from the full set.