Colloidal quantum confined semiconductor-metal heterostructures are promising candidates for solar energy conversion because their light absorbing semiconductor and catalytic components can be independently tuned and optimized. Although the light-to-hydrogen efficiencies of such systems have shown interesting dependences on the morphologies of the semiconductor and metal domains, the mechanisms of such dependences are poorly understood. Here, we use Pt tipped 0D CdS quantum dots (with ∼4.6 nm diameter) and 1D CdS nanorods (of ∼13.8, 27.8, 66.6, and 88.9 nm average rod lengths) as a model system to study the distance-dependence of charge separation and charge recombination times and their impacts on photo-driven H2 production. The H2 generation quantum efficiency increases from 0.2% ± 0.0% in quantum dots to 28.9% ± 0.4% at a rod length of 28 nm and shows negligible changes at longer rod lengths. The half-life time of electron transfer from CdS to Pt increases monotonically with rod length, from 0.7 ± 0.1 in quantum dots to 170.2 ± 29.5 ps in the longest rods, corresponding to a slight decrease in electron transfer quantum efficiency from 92% to 81%. The amplitude-weighted average lifetime of charge recombination of the electron in Pt with the hole in CdS increases from 4.7 ± 0.4 µs in quantum dots to 149 ± 34 µs in 28 nm nanorods, and the lifetime does not increase further in longer rods, resembling the trend in the observed H2 generation quantum efficiency. Our result suggests that the competition of the charge recombination process with the hole removal by the sacrificial electron donor plays a dominant role in the observed nanorod length dependent overall light driven H2 generation quantum efficiency.

Colloidal quantum confined semiconductor-metal nano-heterostructures are a promising class of photocatalysts for solar energy conversion.1–9 In these photocatalysts, the semiconductor domain serves as the light absorber and the metal as the catalyst. Such photocatalysts combine the semiconductor’s superior light absorption and charge transport properties with the metal’s superior catalytic activity and selectivity.4,10,11 Furthermore, both domains can be independently tuned to enhance the photocatalytic performance of the heterostructure.5,12–19 Among various semiconductor/metal heterostructures, metal-tipped colloidal semiconductor nanorods20,21 have attracted extensive interest because they have been reported to have high quantum efficiencies of light driven H2 generation,13,22,23 and their charge separation and recombination processes can be examined spectroscopically to advance mechanistic understanding and rational design.3,13,22,24–26 It has been reported previously that the light-driven H2 generation performance of metal-tipped nanorods depends on the pH of the solution,1,13,23 the nature of the sacrificial electron donors,3,27 the size of the metal domain,15,22,28 and the length of the nanorods.12 Although these studies have reported interesting dependences of the performances on the semiconductor and metal domains, the mechanisms of the dependences are poorly understood. The overall light driven H2 generation process involves multiple elementary charge separation and recombination steps in the semiconductor and across the semiconductor/metal interface, as well as proton-coupled electron transfer reactions at the catalytic center. The change in the semiconductor or metal domains can often have effects on the multiple competing processes in the overall reaction. As a result of these complexities, the mechanisms for the morphological dependence of the observed H2 generation efficiencies are not fully understood, hindering the rational design of these photocatalysts.

In this work, we use Pt tipped CdS nanorod (CdS–Pt NR) heterostructures as a model system to study the mechanism by which the CdS rod length affects their light-driven H2 production. We observe that the quantum efficiency (QE) of light driven H2 generation (QEH2) initially increases with rod length from 4.6 ± 0.9 to 27.8 ± 4.2 nm, but reaches a plateau value of ∼30% from a rod length of 27.8 ± 4.2 to 88.9 ± 15.8 nm. Because the CdS rod length can affect the rates of the initial electron transfer (ET) from the CdS to the Pt and the lifetime of the charge separated state (with an electron in the Pt domain and a hole in the CdS domain), the length dependences of these rates were directly measured. We propose a simplified kinetics model that considers key processes from the initial photon absorption to the final catalytic reaction and assumes that the overall light driven H2 generation QE is the product of the QEs of these elementary steps. Using this model, we examine how the CdS rod length affects the quantum efficiencies of these elementary steps and the overall H2 generation performance.

CdS quantum dots (QDs) and four NR samples of different rod lengths were prepared according to reported literature procedures with slight modifications, and the Pt tips were deposited by thermal reduction as described in SI1.21 The as-synthesized CdS and CdS–Pt samples have phosphoric acid as native capping ligands and are soluble in organic solvents. To transfer these samples into an aqueous solution, the surface ligands were exchanged for 11-mercaptoundecanoic acid (11-MUA), as described in SI1. The CdS and CdS–Pt samples are designated as CdSxnm and CdSxnm–Pt, respectively, with the subscript x representing nanorod length or x = QD to indicate CdS QD and QD–Pt samples. The first exciton absorption peaks of CdS QDs and NRs, determined by the radial confinement,29 are around 450–470 nm, as shown in Fig. 1(a). The absorption spectra of CdS–Pt can be well fitted to the sum of CdS absorption bands and a broad Pt d-sp interband absorption feature,30 as shown in Fig. 1(a). Transmission electron microscope (TEM) images of CdS and CdS–Pt are shown in Figs. S1 and 1(b)1(f), respectively. The diameter of the QD is 4.6 ± 0.9 nm. The CdS and CdS–Pt NR samples have four different rod lengths of 13.8 ± 2.3, 27.8.±4.2, 66.6 ± 6.6, and 88.9 ± 15.8 nm, but similar CdS diameters in the range of 4.1 ± 0.4 to 4.7 ± 0.8 nm and similar Pt tip diameters in the range of 3.3 ± 0.7 to 4.0 ± 1.0 nm. Around 70% of the nanorods are singly tipped, 20% are doubly-tipped, and 10% have no tips. The detailed statistics of CdS diameter, rod lengths, Pt diameters, and number of Pt tips are listed in Table S1. Thus, the majority of the samples can be considered nanorods of similar CdS diameters and Pt tip sizes but different CdS rod lengths with a single tip at the end, as schematically shown in Fig. 1(g).

FIG. 1.

Absorption spectra and TEM images of CdS–Pt heterostructures. (a) UV-vis absorption spectra of CdS–Pt NRs in the aqueous phase (green lines) and their fits (black dashed lines) by the linear combination of the spectra of free Pt particles (gray solid lines) and CdS NRs or QDs (violet lines). This indicates that the deposition of Pt has negligible impacts on the CdS exciton bands. (b)–(f) TEM images of CdSQD-Pt, CdS14nmPt, CdS28nmPt, CdS67nmPt, and CdS89nmPt, respectively. Scale bars are 10 nm in (b) and 20 nm in other panels. (g) Schematic representation of these samples as nanorods of the same CdS diameters and Pt tip sizes but different CdS rod lengths.

FIG. 1.

Absorption spectra and TEM images of CdS–Pt heterostructures. (a) UV-vis absorption spectra of CdS–Pt NRs in the aqueous phase (green lines) and their fits (black dashed lines) by the linear combination of the spectra of free Pt particles (gray solid lines) and CdS NRs or QDs (violet lines). This indicates that the deposition of Pt has negligible impacts on the CdS exciton bands. (b)–(f) TEM images of CdSQD-Pt, CdS14nmPt, CdS28nmPt, CdS67nmPt, and CdS89nmPt, respectively. Scale bars are 10 nm in (b) and 20 nm in other panels. (g) Schematic representation of these samples as nanorods of the same CdS diameters and Pt tip sizes but different CdS rod lengths.

Close modal

The photo-catalytical H2 production measurements using 11-MUA capped CdS–Pt nanocrystals were carried out under continuous 405 nm LED light illumination (power density of ∼100 mW/cm2) for ∼1–2 h. The aqueous solution pH was tuned to 12 with KOH, and L-cysteine (3 mg/ml) was added as a hole scavenger.31 The absorbances of all samples at 405 nm were controlled to be in the range of ∼0.3 to 0.4. The generated H2 amount was quantified by gas chromatography Further details of the measurement are provided in SI2. Figure 2(b) shows the H2 production amount over time. The linear time-dependence indicates stable H2 production rates over time. Three measurements were taken for each sample to obtain the H2 generation rate and its error bar. The slopes of linear fit (i.e., H2 generation rate, kH2) first increases with rod length, then stays similar for longer rods. The internal quantum efficiencies of H2 generation (QEH2) are calculated as QEH2=2kH2khv,CdS*100% . khv,CdS is the photon absorption rate by CdS NR at 405 nm in the CdS–Pt samples. Although both Pt tips and CdS NRs absorb at 405 nm, photons absorbed in Pt do not lead to H2 generation due to the fast cooling of carriers in Pt. In addition, our previous work has shown that CdS nanorods without tips also have a negligible contribution to H2 production.31 Thus, in calculating the internal quantum efficiencies of H2 production (QEH2), only the photons absorbed by tipped CdS NRs are considered, following the procedure described in SI2. As shown in Fig. 2(c), QYH2 of tipped nanorods increases from 0.2% ± 0.0% to 28.9% ± 0.4% when rod length increases from 4.6 ± 0.9 nm (QD, the rod length of the QD sample is taken as its diameter) to 28 ± 3 nm, and then remains nearly constant, within the range of 30% ± 10%, for longer rod lengths (67 ± 7 and 89 ± 15 nm).

FIG. 2.

Photocatalytic H2 performance of CdS–Pt NRs. (a) A scheme of photocatalytic processes in CdS–Pt. (b) H2 production amount over time for all samples. The linear fit indicates a stable H2 production rate. (c) Quantum efficiencies of H2 production (purple circles) for tipped NRs as a function of rod length in CdS–Pt. The dashed line is shown to indicate the trend.

FIG. 2.

Photocatalytic H2 performance of CdS–Pt NRs. (a) A scheme of photocatalytic processes in CdS–Pt. (b) H2 production amount over time for all samples. The linear fit indicates a stable H2 production rate. (c) Quantum efficiencies of H2 production (purple circles) for tipped NRs as a function of rod length in CdS–Pt. The dashed line is shown to indicate the trend.

Close modal

The overall light-to-H2 production from CdS–Pt NRs consists of multiple charge separation, charge recombination (CR) steps, and catalysis at the Pt surface, which will be discussed below. To understand the length-dependent H2 production discussed above, transient absorption (TA) spectroscopy was utilized to measure the rod length dependences of the initial electron transfer rate from the CdS rod to the Pt tip and the lifetime of the resulting charge-separated state in CdS–Pt heterostructures. We first discussed the rod length dependence of ET kinetics from the CdS NR to the Pt tip, measured following previous reports.1,3,24 TA studies of CdS and CdS–Pt NRs were conducted under the same pH and hole scavenger conditions as the light-driven H2 generation measurement described above using 400 nm pulse laser excitation. The details of the TA measurement are provided in SI3. The TA spectra of selected CdS (CdSQD, CdS28nm, and CdS89nm) and the corresponding CdS–Pt samples are shown in Figs. 3(a) and 3(b), respectively, and the spectra of the remaining samples are shown in Figs. S2 and S3. These spectra show similar features: (a) a bleach of the 1Σ exciton band (XB) centered at 450–470 nm due to the electron state filling at the conduction band (CB) edge, which reduces 1Σ exciton absorption; (b) a photoinduced absorption at ∼420 nm that is attributed to the red-shift of a higher energy transition due to biexciton interaction.24 The slight time-dependent red-shift of the XB peak position in CdS89nm spectra is likely due to its ununiform rod diameter, which leads to exciton localization into the bulb region.32 As shown in Fig. 3(c), the XB decay in free CdS NRs shows similar kinetics, independent of the rod length. Because the XB feature reflects the population of photogenerated CB edge electrons in the CdS NR, its decay in bare CdS reflects the recombination of photogenerated electrons with the holes in the NR.24 The XB bleach recovery in Fig. 3(c) can be fit to a stretched exponential function A(t) = A0 exp[−(t/τ)β], with τ = 15.2 ± 0.3 ns and β = 0.42 ± 0.01, corresponding to an average exciton lifetime of 45.7 ± 0.9 ns. The TA spectra of CdS–Pt NRs [Fig. 3(b)] show similar spectral features as those in CdS NRs. However, their XB decays on a much faster time scale [Fig. 3(d)], which can be attributed to ET from the CdS rod to the Pt tip.24 The kinetics of XB decay in CdS–Pt NRs can be fit by a multiexponential function, as described in S3.3 and Table S3. From the fit, the XB decay half-life time is determined to be 0.7 ± 0.1 ps in CdSQD-Pt and increases to 1.8 ± 0.3, 23.4 ± 3.6, 52.9 ± 7.9, and 170.2 ± 29.5 ps for CdS14nmPt, CdS28nmPt, CdS67nmPt, and CdS89nmPt rods, respectively, monotonically increasing with the rod length, reflecting decreasing ET rates.

FIG. 3.

Transient absorption spectra of selected MUA capped CdS and CdS–Pt samples in an aqueous solution of pH 12. (a) Average TA spectra of CdSQD, CdS28nm, and CdS89nm at the indicated time delay windows are shown. (b) Average TA spectra of CdSQDPt, CdS28nmPt, and CdS89nmPt at the indicated time delay windows. (c) XB bleach recovery in CdS NRs of different rod lengths (symbols) and their fit to a stretched exponential function (black line) with an average lifetime of 45.7 ± 0.9 ns. (d) Exciton bleach recovery kinetics in CdS–Pt samples of different rod lengths (symbols) and their fit to multiexponential decay functions (black lines). Faster XB in CdS–Pt is attributed to electron transfer from the CdS NR to Pt.

FIG. 3.

Transient absorption spectra of selected MUA capped CdS and CdS–Pt samples in an aqueous solution of pH 12. (a) Average TA spectra of CdSQD, CdS28nm, and CdS89nm at the indicated time delay windows are shown. (b) Average TA spectra of CdSQDPt, CdS28nmPt, and CdS89nmPt at the indicated time delay windows. (c) XB bleach recovery in CdS NRs of different rod lengths (symbols) and their fit to a stretched exponential function (black line) with an average lifetime of 45.7 ± 0.9 ns. (d) Exciton bleach recovery kinetics in CdS–Pt samples of different rod lengths (symbols) and their fit to multiexponential decay functions (black lines). Faster XB in CdS–Pt is attributed to electron transfer from the CdS NR to Pt.

Close modal

Previous studies have shown that the presence of holes in the nanorod shifts the exciton transition energy and leads to a derivative like TA feature, indicative of the formation of the charge separated states and this feature can be used to follow the lifetime of the charge separated state.3,24 Interestingly, with MUA ligand capped CdS–Pt NRs under the light driven H2 conditions described above, such a charge separated state signal was not observed (Fig. S4). To get insights into the length dependence of the CR time of the electron in the Pt tip with the hole in CdS in aqueous solution, we carried out a study on phosphoric acid capped CdS–Pt NRs dissolved in toluene, where the hole recombination displays an observable feature in the TA spectra. The TA spectra of CdS–Pt from 10 ns to 200 µs are shown in Fig. 4(a) for CdSQDPt (upper panel), CdS28nmPt (middle panel), and CdS89nmPt (lower panel) and in Fig. S5 for CdS14nmPt and CdS67nmPt. After the completion of ET from the CdS to Pt on a <1 ns time scale, a second derivative feature of the exciton band is observed beginning at 1–10 ns. This derivative feature has been attributed to the trapped hole in CdS, which shifts the CdS exciton absorption band.24 The decay of this derivative feature has been attributed to the recombination of the electron in Pt with the hole in CdS.24 A comparison of the recombination kinetics of CdS–Pt at different rod lengths [Fig. 4(b)] shows that the CR lifetime increases with the rod length. With the rod length increasing from 4.6 ± 0.9 to 143.8 ± 2.3 and 27.8 ± 4.2 nm, the amplitude-weighted average lifetime of the charge separated state increases from 4.7 ± 0.4 to 25.7 ± 3.3 µs and 149 ± 34 µs, after which the average lifetime increases negligibly at longer rod lengths. This length-dependent trend is consistent with the observed QYH2 in Fig. 2, implying CR time may be the determining factor for the length-dependent QYH2. For 11-MUA capped CdS–Pt in aqueous solution under light-driven H2 generation conditions, ET from the CdS to Pt does not lead to the charge separated state signal discussed above, as shown in Fig. S4. This is likely caused by fast hole transfer to the surface 11-MUA ligand or large dielectric screening by water, which reduces the Stark effect signal of the CdS exciton band.

FIG. 4.

Transient absorption spectra of selected phosphoric acid capped CdS–Pt samples in toluene. (a) TA spectra of CdSQDPt (upper), CdS28nmPt (middle), and CdS89nmPt (lower) at selected time delays. These spectra show a clear derivative feature of the exciton band, indicating the appearance of a charge separated state with an electron in Pt and a hole in CdS. (b) Comparison of the normalized decay kinetics of the charge separated state at ∼470 nm, showing the length dependence of the charge recombination time. (c) Amplitude-weighted average charge recombination time as a function of the CdS rod length.

FIG. 4.

Transient absorption spectra of selected phosphoric acid capped CdS–Pt samples in toluene. (a) TA spectra of CdSQDPt (upper), CdS28nmPt (middle), and CdS89nmPt (lower) at selected time delays. These spectra show a clear derivative feature of the exciton band, indicating the appearance of a charge separated state with an electron in Pt and a hole in CdS. (b) Comparison of the normalized decay kinetics of the charge separated state at ∼470 nm, showing the length dependence of the charge recombination time. (c) Amplitude-weighted average charge recombination time as a function of the CdS rod length.

Close modal

The overall light-driven H2 generation process in CdS–Pt NRs involves multiple forward steps: hole transfer (HT) from the CdS to surface ligands (L), ET from the CdS to Pt, hole removal from the surface ligand to L-cysteine in solution or hole scavenging (HS), and water reduction (WR) at Pt. Each of these steps competes with a backward charge recombination process. Figure 5(a) shows the schematic energy levels of electrons and holes involved in these steps, and Fig. 5(b) shows a simplified kinetics model that considers key intermediates and their competing forward and backward processes.31 As shown in Fig. 5(b), the absorption of a photon generates an exciton in L-CdS-Pt NRs (L = 11-MUA), which undergoes fast trapping of the VB hole on a sub-picosecond time scale to form L-CdS*-Pt.24,33 In L-CdS*-Pt, the transfer of the trap hole (kHT) to the MUA ligand to form L+-CdS-Pt competes with the electron–hole recombination (kCR1) process within CdS* to determine the hole transfer QE (QEHT=kHTkHT+kCR1). QEHT is estimated to be nearly 100% because kHT, ∼ (100 s ps)−1, is much larger than kCR1 (∼10 s ns)−1.1,3 kHT and kCR1 [Fig. 3(c)] are length independent, giving rise to a length independent QEHT. In L+-CdS-Pt, ET from the CdS to the Pt tip (kET) forms a charge separated state (L+-CdS-Pt), which competes with rod-length independent CR (kCR2) [Fig. 3(c)]. Because kET is dependent on the rod length, the ET QE (QEET=kETkET+kCR2) is rod-length dependent and can be determined directly from the transient absorption kinetics shown in Fig. 3(d). In L+-CdS-Pt, hole transfer from the oxidized surface ligand to the solution hole scavengers (with a rate constant of kHS) forms a long-lived L-CdS-Pt species that can proceed on to the slow water reduction steps, and the HS step competes with the rod length dependent CR (kCR3) to give rise to rod length dependent hole scavenging QE (QEHS=kHSkHS+kCR3). Finally, water reduction QE (QEWR=) should not vary with the rod length as this step involves only the electron in the Pt particle and the hole in the hole scavenger. Although water reduction is a multiple step process consisting of two-proton reduction, we have assumed that there exists a rate limiting step that controls its QE.

FIG. 5.

Mechanism of rod length dependent light driven H2 generation quantum efficiency in L-CdS-Pt nanorods. (a) Key energy levels and elementary processes, and (b) simplified kinetic model showing key intermediate states and their competing forward and backward processes involved in the overall light driven H2 generation. L indicates the MUA capping ligands on the CdS surface. Forward processes (solid arrows): hole transfer from the trapped exciton state to surface ligand L (with a rate constant kHT), ET from the CdS to Pt (kET), hole transfer from the oxidized surface ligand L+ to hole sacrificial donor SD (kHS), and water reduction on reduced Pt particles (kWR). Each process competes with a CR process (kCRi, i = 1–4, dashed arrows), which determines the quantum efficiency of each elementary step. The overall quantum efficiency of light drive H2 generation is the product of the quantum efficiencies of the elementary steps. [(a) and (b) are adapted with permission from Liu et al., J. Am. Chem. Soc. 144(6), 2705–2715 (2022). Copyright 2022, American Chemical Society].

FIG. 5.

Mechanism of rod length dependent light driven H2 generation quantum efficiency in L-CdS-Pt nanorods. (a) Key energy levels and elementary processes, and (b) simplified kinetic model showing key intermediate states and their competing forward and backward processes involved in the overall light driven H2 generation. L indicates the MUA capping ligands on the CdS surface. Forward processes (solid arrows): hole transfer from the trapped exciton state to surface ligand L (with a rate constant kHT), ET from the CdS to Pt (kET), hole transfer from the oxidized surface ligand L+ to hole sacrificial donor SD (kHS), and water reduction on reduced Pt particles (kWR). Each process competes with a CR process (kCRi, i = 1–4, dashed arrows), which determines the quantum efficiency of each elementary step. The overall quantum efficiency of light drive H2 generation is the product of the quantum efficiencies of the elementary steps. [(a) and (b) are adapted with permission from Liu et al., J. Am. Chem. Soc. 144(6), 2705–2715 (2022). Copyright 2022, American Chemical Society].

Close modal
The overall QE of the light driven H2 production process can be considered the product of these four elementary steps, according to equation [(Eq. (1)],
(1)

Because QEHT and QEWR are rod-length independent, in Eq. (1) we have grouped the product of the rod length independent QEs into a constant C(=QEHTQEWR).

First, we focus on the length-dependent ET and QEET. The electron transfer QE from the CdS to Pt (QEET) can be determined from the XB kinetics using Eq. (2),34 
(2)
In Eq. (2), SCdS(t) and SCdS–Pt(t) represent the normalized time dependent probability distribution of the CdS CB electron in CdS and CdS–Pt NRs, respectively, which can be obtained from their 1Σ exciton bleach recovery kinetics. The kinetics of CdS–Pt NR include both contributions from CdS with and without Pt tips. Because CdS NRs without tips have zero QEET ET quantum efficiency, the CdS nanorods QEET,CdS–Pt can be calculated by dividing QEET, total by the tipping percentage of the sample (Table S5). The calculated QEET values for CdS–Pt of different lengths are shown in Fig. 6(a) (orange triangle). In QEET and QEH2, the QE of the remaining steps QEHT*QEHSL*QEWR=C*QEHS(L) can be determined by the ratio between QEH2 and QEET, which is plotted in Fig. 6(b) (blue circles). QEET decreases monotonically and relatively slowly from 92% to 81% when the rod length increases from 4.6 ± 0.9 to 89 ± 15 nm, as shown in Fig. 6(a). Interestingly, the calculated CQEHS values increase more rapidly with the rod length, from 0.2% for L = 4.6 ± 0.9 nm in CdSQDPt to 35% for L = 28 ± 3 nm, and then stay at 35% ± 10% for longer lengths. Thus, the observed length dependent QYH2 in CdS–Pt NRs mainly reflects the trend of QEHS, which is determined by the length dependent charge recombination rates in L+-CdS-Pt.
FIG. 6.

Quantum efficiencies of elementary steps involved in the overall light driven H2 generation in L-CdS-Pt. (a) Quantum efficiencies of H2 production (purple circles, QEH2 from Fig. 2) and electron transfer (orange triangles, QEET) as a function of the CdS rod length. (b) Comparison of C*QEHSL calculated from QEH2 and QEHT according to Eq. (1) (blue circles) and from measured charge recombination rates according to Eq. (3) (green diamond).

FIG. 6.

Quantum efficiencies of elementary steps involved in the overall light driven H2 generation in L-CdS-Pt. (a) Quantum efficiencies of H2 production (purple circles, QEH2 from Fig. 2) and electron transfer (orange triangles, QEET) as a function of the CdS rod length. (b) Comparison of C*QEHSL calculated from QEH2 and QEHT according to Eq. (1) (blue circles) and from measured charge recombination rates according to Eq. (3) (green diamond).

Close modal
QEHS is determined by the competition between hole removal from L-cysteine and charge recombination in L+-CdS-Pt (kCR3), according to Eq. (3),
(3)
In Eq. (3), the hole removal process is characterized by pseudo-first-order rates with a hole scavenging constant kHS and a charge recombination constant in L+-CdS-Pt kCR3. As shown in Fig. S4, direct observation of the kHS and kCR3 seems impossible due to the lack of observable features. In the following paragraphs, we provide an estimate of kHS, kCR3, and QEHS values.

A previous study of light driven MV2+ reduction using mercaptopropionic acid MPA capped CdS QDs provided an approach to estimating the kHS via static radical generation yield.35 Under the conditions of pH 7 and 3-mercaptopropionic acid (MPA) as hole scavenger, the quantum yield of MV2+ reduction was determined to be 12.61% ± 1.55% and the radical lifetime was ∼5.1 µs (or kHS + kCR3 = 0.19 µs−1). Because of the unity QEs for both electron and hole transfer steps under those conditions, the radical generation QEs are determined solely by QEHS. Using Eq. (3), kHS and kCR3 can be determined to be 1/(40 µs) and 1/(5.8 µs), respectively. Because the hole scavenging rate should not be affected by the presence of the Pt tip, we assume that this kHS value can be used as an estimate of the hole scavenging rate in the CdS–Pt samples under light driven H2 generation conditions, although it should be noted that kHS depends on both the identity and concentration of the hole scavengers as well as the identification of the NR surface ligand layers.36,37 As an estimate of the charge recombination rate in L+-CdS-Pt in water, the measured values of kCR3 of CdS+-Pt in an organic solvent [Fig. 4(d)] are used. Although in the former, the hole is localized on the thiol group of the surface ligand, it resides at a surface trap site (likely the surface S atom) in the latter.

Using the estimated values of kHS(=1/40 µs) and kCR3 [Fig. 4(d)], we calculate the QEHSL as a function of rod length following Eq. (3). As shown in Fig. 6(b), the trend of the calculated QEHSL agrees well with the trend of QEHSL estimated from QEH2 and QEET, according to Eq. (1). Although the calculated QEHSL values should be considered a rough estimate because of the approximations involved in estimating kHS and kCR3, this analysis provides useful insight on how the competition of these processes leads to the CdS rod length dependent QEHSL and QEH2. Previously, it was reported that the H2 production yield increases with the rod length in CdSe@CdS–Pt NRs from 20 to 60 nm, and increasing the charge separation distance may account for this improvement.12 This result is consistent with our trend from QD to 28 nm, but not for the longer rods. Our analysis shows that the loss caused by the competition between charge recombination and hole scavenging depends on the hole scavenging rates. Under different hole scavenging conditions (the identity and concentration of the hole scavenger), the length dependence may change because of the variations in the rates of these competing processes.

The mechanism of electron transfer from a quantum confined semiconductor to an electron acceptor has been previously investigated in colloidal quantum dots via a shell-thickness dependence study,38 which reports that the electron transfer rate from a CdSe/ZnS quantum dot to anthraquinone decreases exponentially with the shell thickness, consistent with the electron density that extends from the CdSe core to the ZnS surface. This indicates that in the short-distance regime, the electron transfer mainly undergoes tunneling pathway. However, the tunneling mechanism predicts an exponential decrease in electron transfer rate, which may be too slow in the long-distance regime. In conjugated molecular systems, a transition from tunneling mechanisms to activated hopping/diffusion has been reported.39,40 In quantum confined nanorods, hole trapping to the surface states or surface ligands happens at sub-picosecond24 to 100 s ps1, respectively, which may reduce the electron–hole Coulombic binding. Weakening the binding energy may facilitate electron hopping along the nanorod and make hopping a preferential mechanism for ET. Several studies have already reported hopping-mechanism-dominant long-range electron transfer.1,41 For example, the exciton localization in a CdSde@CdS nanorod can be well-expressed by solving the boundary-confined diffusion equation. Similarly, electron transfer from CdSe@CdSe to the Ni tip was also reported to follow the diffusion model with a diffusion constant of 1.6 cm2/s.42 

The kinetics of a 1D random walk model with initial and boundary conditions can be calculated by solving the Fick’s second law. By assuming a uniform electron distribution at time zero and electrons transferring into Pt once they reach the CdS/Pt interface, the time-dependent population S(t) of electrons in CdS can be described by the sum of an infinite series as Eq. (4),43 
(4)

D is the diffusion constant of an electron. L is the total rod length. This series is asymptotic to a single exponential because higher-level terms (n > 0) vanish quickly with both decay rates increasing and amplitudes decreasing as ∼(n + 1/2)2. The prominent term in the series is the n = 0 term. However, as shown in Fig. 3(d) and Table S3, the measured charge separation kinetics cannot be described by single exponential decay functions. This non-exponential behavior has been reported widely in colloidal nanocrystals,3,24,32,44 although its origin is not fully understood. In our system, it may be attributed to the broad distribution of electron diffusion constants caused by trap states or rod lengths. Equation (4) predicts that the rate of electron transfer should scale with D/L2. If we assume the distributions of diffusion constants are independent of rod length, the charge separation kinetics of NRs of different lengths should agree with each other if they are plotted against a scaled time t*/L2. To test this model, we rescaled the data shown in Fig. 3(d) against the scaled delay time T = t*/L2. L is initially set as the rod length. To get better scaling, L is slightly varied around the average rod length, as shown in Table S6. The rescaled TA kinetics are plotted in Fig. S6, which shows that for long nanorods, the scaled kinetics agree well with each other. This suggests that the length dependence of the charge separation kinetics in long nanorods is consistent with the hopping mechanism predicted by Eq. (4). For QDPt and CdS14nmPt, a faster decay is observed at an early time compared with longer rods. This may indicate that in this short-distance regime, electron tunneling may be the dominant ET mechanism.

Similar to charge separation, charge recombination in nanorods and 2D nanoplatelets has been described by activated diffusion of holes.1,43 It was shown previously that electron–hole recombination in a CdS nanorod with a bulb region shows a power law decay ∼t−1/2, indicative of unbiased 1D hole diffusion.43 However, as shown in Fig. 4(b), for phosphonate acid capped CdS–Pt nanorods, a power-law recombination kinetics was not observed. Furthermore, the recombination kinetics appear to be independent of the rod length in longer rods, which is not consistent with the activated diffusion model. For CdS–Pt nanorods, the spatial distribution of the trapped holes is not well known, which may complicate the analysis of the charger recombination mechanisms. In this regard, CdSe@CdS–Pt nanorods may offer a better candidate for this study because of the preferential localization of the holes in the CdSe core.

In this work, we use CdS–Pt NR heterostructures as a model system to study how the average distance between the semiconductor and the metal, controlled by the rod length, affects charge separation, charge recombination, and H2 production. We found that by increasing rod length from 4.6 ± 0.9 nm in quantum dots (QDs) to 89 ± 15 nm in 1D nanorods (NRs), the charge separation half-life time increases from 0.7 ± 0.1 to 170.2 ± 29.5 ps, and the charge separation efficiency QEET decreases from 92% to 81%. The amplitude-weighted average lifetime of the charge separated state increases from 4.7 ± 0.4 µs in CdSQDPt to 149 ± 34 µs in CdS28nmPt, and the lifetime does not increase further in longer rods. The H2 production quantum efficiency increases from 0.2% ± 0.0% to 28.9% ± 0.4% when the CdS NR length increases from 4.6 ± 0.9 nm (QD) to 28 ± 3 nm NR, and remains at ∼20% to 30% for longer rods, following the trend of charge separation lifetimes. We propose a model that assumes that overall H2 generation quantum efficiency can be considered as a product of four key steps: QEH2=QEHT*QEETL*QEHS(L)*QEWR. According to this model, the observed length dependence of the H2 generation efficiency is a combined result of the length-dependent charge separation, QEETL, and hole scavenging, QEHS(L) quantum efficiencies. The former is a result of the rod length dependent electron transfer from the CdS NR to the Pt tip, and the latter is caused by the rod length dependent charge recombination, which competes with hole transfer to the scavenger. However, because the rod length dependence of QEETL is weaker than that of QEHS(L), the latter and ,hence, the rod length dependent charge recombination time, is the key factor that controls the overall light driven H2 generation quantum efficiencies. Our findings provide key insights into how the dimension of the semiconductor domain affects the performance of the photocatalysts and guidance on how to rationally design these materials for efficient light driven H2 generation.

Synthesis procedure, TEM images, statistics of rod and Pt size, photocatalytical H2 production measurements, transient absorption measurements, and kinetics fitting details.

This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, and Solar Photochemistry Program under Award No. (DE-SC0008798). The transmission electron microscope images were taken at the Robert P. Apkarian Integrated Electron Microscopy Core (IEMC) at Emory University.

The authors have no conflicts to disclose.

Yawei Liu: Conceptualization (lead); Data curation (lead); Formal analysis (lead); Writing – original draft (lead); Writing – review & editing (lead). Wenxing Yang: Formal analysis (supporting); Methodology (supporting); Writing – original draft (supporting); Writing – review & editing (supporting). Qiaoli Chen: Investigation (supporting); Writing – original draft (supporting); Writing – review & editing (supporting). Zhaoxiong Xie: Funding acquisition (supporting); Supervision (supporting).

The data that support the findings of the study are available within the article and its supplementary material.

1.
Q.
Li
,
F.
Zhao
,
C.
Qu
,
Q.
Shang
,
Z.
Xu
,
L.
Yu
,
J. R.
McBride
, and
T.
Lian
,
J. Am. Chem. Soc.
140
(
37
),
11726
11734
(
2018
).
2.
H.
Zhu
,
N.
Song
,
H.
Lv
,
C. L.
Hill
, and
T.
Lian
,
J. Am. Chem. Soc.
134
(
28
),
11701
11708
(
2012
).
3.
K.
Wu
,
Z.
Chen
,
H.
Lv
,
H.
Zhu
,
C. L.
Hill
, and
T.
Lian
,
J. Am. Chem. Soc.
136
(
21
),
7708
7716
(
2014
).
4.
K.
Wu
and
T.
Lian
,
Chem. Soc. Rev.
45
(
14
),
3781
3810
(
2016
).
5.
M.
Berr
,
A.
Vaneski
,
A. S.
Susha
,
J.
Rodríguez-Fernández
,
M.
Döblinger
,
F.
Jäckel
,
A. L.
Rogach
, and
J.
Feldmann
,
Appl. Phys. Lett.
97
(
9
),
093108
(
2010
).
6.
G. H.
Carey
,
A. L.
Abdelhady
,
Z.
Ning
,
S. M.
Thon
,
O. M.
Bakr
, and
E. H.
Sargent
,
Chem. Rev.
115
(
23
),
12732
12763
(
2015
),
7.
Y. E.
Panfil
,
M.
Oded
, and
U.
Banin
,
Angew. Chem., Int. Ed.
57
(
16
),
4274
4295
(
2018
).
8.
D. V.
Talapin
,
J.-S.
Lee
,
M. V.
Kovalenko
, and
E. V.
Shevchenko
,
Chem. Rev.
110
(
1
),
389
458
(
2010
).
9.
M. B.
Wilker
,
K. J.
Schnitzenbaumer
, and
G.
Dukovic
,
Isr. J. Chem.
52
(
11–12
),
1002
1015
(
2012
).
10.
X. B.
Li
,
Z. K.
Xin
,
S. G.
Xia
,
X. Y.
Gao
,
C. H.
Tung
, and
L. Z.
Wu
,
Chem. Soc. Rev.
49
(
24
),
9028
9056
(
2020
).
11.
R.
Burke
,
K. L.
Bren
, and
T. D.
Krauss
,
J. Chem. Phys.
154
(
3
),
030901
(
2021
).
12.
L.
Amirav
and
A. P.
Alivisatos
,
J. Phys. Chem. Lett.
1
(
7
),
1051
1054
(
2010
).
13.
T.
Simon
,
N.
Bouchonville
,
M. J.
Berr
,
A.
Vaneski
,
A.
Adrovic
,
D.
Volbers
,
R.
Wyrwich
,
M.
Doblinger
,
A. S.
Susha
,
A. L.
Rogach
,
F.
Jackel
,
J. K.
Stolarczyk
, and
J.
Feldmann
,
Nat. Mater.
13
(
11
),
1013
1018
(
2014
).
14.
T.
Simon
,
M. T.
Carlson
,
J. K.
Stolarczyk
, and
J.
Feldmann
,
ACS Energy Lett.
1
(
6
),
1137
1142
(
2016
).
15.
F. F.
Schweinberger
,
M. J.
Berr
,
M.
Döblinger
,
C.
Wolff
,
K. E.
Sanwald
,
A. S.
Crampton
,
C. J.
Ridge
,
F.
Jäckel
,
J.
Feldmann
,
M.
Tschurl
, and
U.
Heiz
,
J. Am. Chem. Soc.
135
(
36
),
13262
13265
(
2013
).
16.
O.
Chen
,
J.
Zhao
,
V. P.
Chauhan
,
J.
Cui
,
C.
Wong
,
D. K.
Harris
,
H.
Wei
,
H. S.
Han
,
D.
Fukumura
,
R. K.
Jain
, and
M. G.
Bawendi
,
Nat. Mater.
12
(
5
),
445
451
(
2013
).
17.
E. A.
Weiss
,
ACS Energy Lett.
2
(
5
),
1005
1013
(
2017
).
18.
R. D.
Harris
,
S.
Bettis Homan
,
M.
Kodaimati
,
C.
He
,
A. B.
Nepomnyashchii
,
N. K.
Swenson
,
S.
Lian
,
R.
Calzada
, and
E. A.
Weiss
,
Chem. Rev.
116
(
21
),
12865
12919
(
2016
).
19.
C.
She
,
I.
Fedin
,
D. S.
Dolzhnikov
,
P. D.
Dahlberg
,
G. S.
Engel
,
R. D.
Schaller
, and
D. V.
Talapin
,
ACS Nano
9
(
10
),
9475
9485
(
2015
).
20.
L.
Carbone
,
S.
Kudera
,
C.
Giannini
,
G.
Ciccarella
,
R.
Cingolani
,
P. D.
Cozzoli
, and
L.
Manna
,
J. Mater. Chem.
16
(
40
),
3952
3956
(
2006
).
21.
S. E.
Habas
,
P.
Yang
, and
T.
Mokari
,
J. Am. Chem. Soc.
130
(
11
),
3294
3295
(
2008
).
22.
Y.
Ben-Shahar
,
F.
Scotognella
,
I.
Kriegel
,
L.
Moretti
,
G.
Cerullo
,
E.
Rabani
, and
U.
Banin
,
Nat. Commun.
7
,
10413
(
2016
).
23.
P.
Kalisman
,
Y.
Nakibli
, and
L.
Amirav
,
Nano Lett.
16
(
3
),
1776
1781
(
2016
).
24.
K.
Wu
,
H.
Zhu
,
Z.
Liu
,
W.
Rodriguez-Cordoba
, and
T.
Lian
,
J. Am. Chem. Soc.
134
(
25
),
10337
10340
(
2012
).
25.
Y.
Ben-Shahar
,
J. P.
Philbin
,
F.
Scotognella
,
L.
Ganzer
,
G.
Cerullo
,
E.
Rabani
, and
U.
Banin
,
Nano Lett.
18
(
8
),
5211
5216
(
2018
).
26.
D.
Mongin
,
E.
Shaviv
,
P.
Maioli
,
A.
Crut
,
U.
Banin
,
N.
Del Fatti
, and
F.
Vallée
,
ACS Nano
6
(
8
),
7034
7043
(
2012
).
27.
M. J.
Berr
,
P.
Wagner
,
S.
Fischbach
,
A.
Vaneski
,
J.
Schneider
,
A. S.
Susha
,
A. L.
Rogach
,
F.
Jäckel
, and
J.
Feldmann
,
Appl. Phys. Lett.
100
(
22
),
223903
(
2012
).
28.
Y.
Nakibli
,
Y.
Mazal
,
Y.
Dubi
,
M.
Wachtler
, and
L.
Amirav
,
Nano Lett.
18
(
1
),
357
364
(
2018
).
29.
A.
Shabaev
and
A. L.
Efros
,
Nano Lett.
4
(
10
),
1821
1825
(
2004
).
30.
A.
Henglein
,
B. G.
Ershov
, and
M.
Malow
,
J. Phys. Chem.
99
(
38
),
14129
14136
(
1995
).
31.
Y.
Liu
,
W.
Yang
,
Q.
Chen
,
D. A.
Cullen
,
Z.
Xie
, and
T.
Lian
,
J. Am. Chem. Soc.
144
(
6
),
2705
2715
(
2022
).
32.
K.
Wu
,
W.
Rodriguez-Cordoba
, and
T.
Lian
,
J. Phys. Chem. B
118
(
49
),
14062
14069
(
2014
).
33.
R. P.
Cline
,
J. K.
Utterback
,
S. E.
Strong
,
G.
Dukovic
, and
J. D.
Eaves
,
J. Phys. Chem. Lett.
9
(
12
),
3532
3537
(
2018
).
34.
J. K.
Utterback
,
M. B.
Wilker
,
D. W.
Mulder
,
P. W.
King
,
J. D.
Eaves
, and
G.
Dukovic
,
J. Phys. Chem. C
123
(
1
),
886
896
(
2018
).
35.
F.
Zhao
,
Q.
Li
,
K.
Han
, and
T.
Lian
,
J. Phys. Chem. C
122
(
30
),
17136
17142
(
2018
).
36.
W.
Yang
,
G. E.
Vansuch
,
Y.
Liu
,
T.
Jin
,
Q.
Liu
,
A.
Ge
,
M. L. K.
Sanchez
,
D.
K Haja
,
M. W. W.
Adams
,
R. B.
Dyer
, and
T.
Lian
,
ACS Appl. Mater. Interfaces
12
(
31
),
35614
35625
(
2020
).
37.
M. B.
Wilker
,
J. K.
Utterback
,
S.
Greene
,
K. A.
Brown
,
D. W.
Mulder
,
P. W.
King
, and
G.
Dukovic
,
J. Phys. Chem. C
122
(
1
),
741
750
(
2018
).
38.
H.
Zhu
,
N.
Song
, and
T.
Lian
,
J. Am. Chem. Soc.
132
(
42
),
15038
15045
(
2010
).
39.
T.
Hines
,
I.
Diez-Perez
,
J.
Hihath
,
H.
Liu
,
Z.-S.
Wang
,
J.
Zhao
,
G.
Zhou
,
K.
Müllen
, and
N.
Tao
,
J. Am. Chem. Soc.
132
(
33
),
11658
11664
(
2010
).
40.
L.
Merces
,
R. F.
de Oliveira
,
D. H. S.
de Camargo
, and
C. C. B.
Bufon
,
J. Phys. Chem. C
121
(
31
),
16673
16681
(
2017
).
41.
Q.
Li
,
B.
Zhou
,
J. R.
McBride
, and
T.
Lian
,
ACS Energy Lett.
2
(
1
),
174
181
(
2017
).
42.
M.
Micheel
,
K.
Dong
,
L.
Amirav
, and
M.
Wächtler
,
J. Chem. Phys.
158
(
15
),
154701
(
2023
).
43.
J. K.
Utterback
,
A. N.
Grennell
,
M. B.
Wilker
,
O. M.
Pearce
,
J. D.
Eaves
, and
G.
Dukovic
,
Nat. Chem.
8
(
11
),
1061
1066
(
2016
).
44.
Y.
Liu
,
D. A.
Cullen
, and
T.
Lian
,
J. Am. Chem. Soc.
143
(
48
),
20264
20273
(
2021
).

Supplementary Material