In this context, two single-molecule PL-based techniques are commonly employed: (i) PL blinking study on surface-immobilized QDs, and (ii) FCS study dispersing QDs in an inert solvent. Each technique possesses its own advantages and disadvantages. The former technique requires effective time binning of at least tens of ms to attain a satisfactory signalto-noise ratio. This technique is suitable for tracking processes slower than tens of ms. In contrast, FCS is commonly employed to examine processes in solution with ns time resolution, with a maximum observation time constrained by QD diffusion time constant, which is typically ~1 ms or a little longer in conventional solvents. Therefore, there remains a deficiency of techniques bridging the gap between sub-ms and tens of ms. To mitigate this problem, we employed sFCS that provides a longer temporal window through a slow scanning of individual surface-immobilized QDs. By reducing the scan speed in sFCS, the temporal size of the observation window can be extended from <1 ms (in conventional FCS) to several tens or hundreds of ms or even longer (in sFCS). In this work, we successfully applied the sFCS on surface-immobilized d-PNCs to record the ms to sub-second dynamics of the charge carriers. A relatively slow scan (~4.6 µm/s) was employed in our study to extend the observation window to >50 ms. With the solutionphase FCS study, we could gain an observation window size of only ~1 ms in conventional solvents, which is limited by the diffusion timescale (τD) of d-PNCs across the excitation volume. Like conventional FCS, maintaining near single-particle conditions in the sFCS experiment is crucial. This ensures the integrity of sFCS data, subsequently facilitating straightforward analysis. However, it is important to note that a strict single-particle condition is not required for our experiment, as the correlation analysis subtracts the contribution of PL photon pairs arising out from different particles. Through our study, we observed that the timescale of PL blinking (τR) of our d-PNCs extends with the expansion of the observation window, initially by changing the solvent from less viscous to more viscous in conventional FCS, and then by switching to sFCS where different scanning speeds were employed to expand further the window size. We attribute this non-converging nature of τR to the PL blinking of d-PNCs following power-law statistics. The key consequence of power law blinking is that the mean durations of ON and OFF states are contingent on the experimental observation time, causing blinking to be observable on any experimental timescale decided by the observation window size. The hot injection method was used to synthesize d-PNCs following the reported literature, with further details provided in the supporting information. Figure displays the TEM micrograph of d-PNCs, with the inset showing the statistical distribution of particle sizes. The steady-state PL spectrum of our d-PNCs in hexane features a peak at ~518 nm and a narrow full width at half maximum of about 18 nm. The first excitonic peak of the absorption spectrum in hexane appears at ~510 nm (Figure ). PLQY of our d-PNCs in hexane was estimated to be ~80%. We further characterized our sample by an XRD study, which shows diffraction patterns of different planes that are highly correlated with previous studies (Figure ). During confocal scanning, pixels were illuminated one after another through line scanning that ensured minimal photo-bleaching. The PLs from individual PNCs were split into two beams before directing them to two single-photon sensitive detectors (APDs) and then sent to a correlator for constructing the cross-correlation function (Figure ). For the sFCS study, the PNC sample was prepared by spin coating an extremely diluted d-PNCs solution [~pM concentration of d-PNCs dispersed in 3% PMMA] onto a coverslip, ensuring significant separation between individual particles, as shown in Figure . The sFCS curves fit nicely to the following fitting equation, which consists of (i) scanning contribution GS(τ) and (ii) the contribution of carrier dynamics GR(τ).