$$\rightleftharpoonup{xx}$$
$$\longleftharp{xx}$$,
$$\longrightharp{xx}$$,
Following data acquisition, data analysis can be performed on the raw data using MATLAB code to generate traces from the raw data collected by the APD. Figure 3 depicts an exemplar trapping trace including the baseline before trapping, the trapping event where a large change in transmission (ΔT/T0) and standard deviation is observed before the laser is turned off for around 5s before being turned back on. A significant reduction in standard deviation and return of transmission to similar levels as the baseline indicates the release of protein. Linear drift is removed from the trace using the MATLAB function detrend.m, and then the mean value of the data is added back to the detrended trace. Occasionally, we need to detrend the trace as the setup drifts over time, causing a linear decrease in transmission (see the grey trace in Figure 3). Small changes in the baseline traces before and after trapping are due to stage adjustment to optimize the baseline with minimal standard deviation, demonstrated in Figure 4A. Sometimes, protein molecules are visible in the trace without being trapped, termed passing-by proteins. Proteins passing by appear as a sharp change in transmission, similar to a typical trap (Figure 4B), but with a significantly shorter duration, as shown in Figure 4A. Power spectral density (PSD) presents another analysis to confirm protein trapping by providing signal strength at various frequencies. Protein conformational motions are typically seen in the >1 µs range by single molecule spectroscopy methods40. Figure 4C demonstrates that compared to the baseline, trapping a protein leads to higher signal strength, at least within the 10 kHz range (> 100 µs). It also highlights the importance of aligning the stage to an optimized baseline, as a bad baseline could increase the noise at frequencies between 50-500 Hz, a frequency range overlaid with protein conformational motions.

Figure 3: Full trapping trace for a single protein. Representative trace for a full trap, including the baseline, trapping a protein, and release of the protein. Jumps in trace before and after trapping are due to alignment. Please click here to view a larger version of this figure.

Figure 4: Common trace events. (A) Examples of an alignment from a bad to a good baseline and a protein passing close to the hotspot. (B) Trapping trace showing the process from the baseline when the DNH hotspot is empty to when the protein is trapped. (C) Power spectral density (PSD) plot between the good and bad baselines depicted in (A) and the protein trapped in (B). Higher PSD values indicate greater noise at particular frequencies. Please click here to view a larger version of this figure.
Most trapping events follow the same general pattern as the trace in Figure 3, although occasional issues may arise during experiments. For most experiments, the protein should be released manually by turning the laser off once the desired experiment is completed. In some cases, however, the protein can leave the trap without intervention, as shown in Figure 5A. Conversely, sometimes proteins can remain at the trapping site even after turning the laser off, likely due to the protein sticking to the sample. This sticking results in a noisy trace after turning the laser off and on (see Figure 5B). The likelihood of this occurring depends on the protein, as some proteins are more prone to surface adsorption41,42. The use of a coating such as PEG-thiol can reduce the chances of protein sticking39,43. Unless desired, such as studying protein-protein interactions, another issue is double trapping, where a second protein is trapped after the first trap. This is characterized by another sharp increase in transmission, similar to the first trap, and a change in standard deviation (see Figure 5C).

Figure 5: Examples of undesirable trapping events. (A) Unintended release of a protein from the DNH hotspot. (B) Example of protein becoming stuck on the sample surface in the DNH hotspot. (C) Trace jump occurs when a second protein is trapped whilst the first still remains in the DNH hotspot. Please click here to view a larger version of this figure.
A representative experiment carried out on in situ iron loading to an apo-ferritin molecule demonstrates the use of plasmonic nanotweezers as a tool to investigate protein conformational dynamics29. Ferritin is an iron carrier protein that exists in two states: apo-ferritin, which contains no iron, and holo-ferritin, which is filled with iron44,45. Ferrous iron enters the protein through 3-fold channels where it is oxidized to ferric iron and stored in the protein core46. Figure 6A depicts a typical trapping trace of apo-ferritin with a ferrous solution infused for over 20 min while the protein is trapped. The 20 s traces taken along the whole trace at points b-e provide insight into the changes occurring to the protein over time. In Figure 6B, apo-ferritin is trapped in a standard PBS buffer, and no significant changes are observed in the trace. Figure 6C, D show fluctuations in the S.D of the traces, which are caused by iron loading into the protein through its 3-fold channels, resulting in a more dynamic state (apo-) where the channels are open, and a more compact state (holo-) with the channels closed. Upon the ferritin molecule being filled with iron, it transitioned to its holoform, resulting in a stable trapping trace, as shown in Figure 6E. Probability density functions (PDF) in Figures 6B-E further showcase the changes the protein undergoes upon exposure to different solution conditions over time.

Figure 6: In situ iron loading into a trapped apoferritin. (A) Full transmission trace of a DNH with an apoferritin molecule trapped, followed by injecting a ferrous solution to the trapping site to observe ferritin's conformational changes associated with iron loading. (B) 20-s trapping trace of an apoferritin trapped before ferrous solution reached hotspot. (C, D) 20-s trapping traces after the apoferritin molecule was exposed to the ferrous solution. Blue and purple segments mark the higher and lower S.D of the trace, indicating flexible and rigid conformations of ferritin, respectively. (E) 20-s trapping trace after apoferritin was exposed to the ferrous solution for >20 minutes. Probability density function (PDF) plots on the right show the distribution of transmission and are color-coded to the blue and purple segments. This figure has been modified from29. Please click here to view a larger version of this figure.
Supplementary Figure 1: Gold DNH sample mounted on the 3D printed flow cell. The sample is placed into a special slot and adhered to the flow cell using double-sided PET adhesive tape. Key parameters and associated measurements for our flow cell design are labeled. Please click here to download this File.
Supplementary Figure 2: Back of flow cell with gold DNH sample mounted and inner wall labelled. The sample is sealed in the flow cell using duplicating silicone. Please click here to download this File.
Supplementary Figure 3: Diagram of the flow cell with gold DNH mounted with intake and outtake holes labeled. Please click here to download this File.