Abstract
Mass spectrometry (MS), a hundred-year-old subject, has been a technique of profound importance to molecular science. Its impact in solid-state materials science has not been evident, although many materials of modern science, such as fullerenes, have their origins in MS. Of late, mass spectrometric interface with materials is increasingly strengthened with advances in atomically precise clusters of noble metals. Advances in instrumentation along with recent developments in synthetic approaches have expanded the chemistry of clusters, and new insights into matter at the nanoscale are emerging. High-resolution MS coupled with soft ionization techniques enable efficient characterization of atomically precise clusters. Apart from that, techniques such as ion mobility, tandem MS, etc. reveal structural details of these systems. Growth, nucleation, and reactivity of clusters are also probed by MS. Some of the recent advancements in this field include the development of new hyphenated techniques. Finer structural details may be obtained by coupling MS with spectroscopic tools, such as photoelectron spectroscopy, vacuum ultraviolet spectroscopy, etc. With such advancements in instrumentation, MS can evolve into a universal tool for the characterization of materials. The present review captures highlights of this area.
Similar content being viewed by others
Introduction
Mass spectrometry (MS), a century-old discipline concerning the investigation of matter using ions, is undergoing revolutionary changes. While the systems being examined went through systematic changes from atomic and molecular species to proteins and macromolecules in the course of evolution of MS, the perception of matter itself underwent a drastic transformation in this period. Materials science is becoming increasingly molecular today, and constituents of molecular matter are acquiring new properties leading to novel applications. Investigations require newer tools, and MS has evidently met the needs in this area. This has happened due to efficient methods of ionization of large molecular systems1,2.
The first use of MS dates back to a century ago when Sir J.J. Thomson measured the m/z values of gaseous ionized molecules3,4. He also found the first evidence of isotopes of an element5. Later in 1922, Aston received a Nobel Prize in Chemistry for his discovery of isotopes in several nonradioactive elements5. Initially, MS gained importance in the analysis of organic molecules, and ionization techniques like electric discharge and electron impact (EI) were used in such studies. Slowly, scientists started using MS for the analysis of sugars, alkaloids, and peptides6. The development of hyphenated techniques like gas chromatography–mass spectrometry (GC–MS)7,8 further strengthened the use of MS as an analytical tool. The use of tandem MS (MS/MS) techniques, where mass spectrum of a mass-selected species is analyzed, became a popular tool for understanding the structures of molecules. For extending MS/MS studies to larger molecules like proteins and peptides, Todd, McGilvery, and Baldwin constructed a high-resolution double-focussing mass spectrometer9. But still, MS/MS studies for large molecules were possible only with harsh ionization techniques like fast atom bombardment. For the study of large molecules like proteins, there was a need for the development of softer ionization techniques. Such needs led to the development of electrospray ionization (ESI)1, and for this breakthrough development, a Nobel Prize was awarded to John Fenn in 2002. Koichi Tanaka was also awarded a Nobel Prize in the same year for his development of soft laser desorption (SLD) and its applications for ionization of macromolecules10. Moreover, for the analysis of complex mixtures, high-resolving power (m/Δm) is desired11. The use of time-of-flight (TOF) mass analyzers came into use in the year 194812. By using dual-stage reflectrons, the flight path of the ions could be extended by multiple reflections, and at present TOF analyzers can reach a resolving power of about 50,000 or more at m/z 20–16,000. In 1974, fourier-transform ion cyclotron resonance (FTICR) analyzers were introduced13, which exhibited higher-resolving power compared with the TOF analyzers14. The orbitrap was invented in 199914, and at present, they can reach a resolution of 6,00,000 at m/z 19515. The gas-phase ions generated inside the mass spectrometer can also be confined for a significant amount of time in “ion traps”, and properties of the trapped ions have been studied in the literature16. Though MS is mainly used for proteomics these days, it also became popular for studying materials. In this review, we have captured how MS has enriched the field of materials science.
Extended solids have been the materials of recent past. They had unique tools for structural characterization, principally revolving around diffraction techniques of various forms17. The molecular systems on the other extreme had MS as their integral or most essential tool for compositional (to a lesser degree structural as well) analysis. As extended solids became molecular in their building blocks, as evident from the recent advances in nanoscale matter, analytical requirements to understand composition reached newer scales. Molecular materials of the past were composed of smaller constituents weighing a few hundred mass units. Many of them were stable under the harsh conditions of electron impact MS, and therefore were investigated extensively using sector-based instruments. Coupled with methods of ion activation, fragmentation gave a wealth of information on molecular structure18. These studies were complemented by nuclear magnetic resonance (NMR) spectroscopy, and structural details of molecules with NMR active nuclei could be understood with precision19,20. This was expanded to even solution-state structure determination of macromolecules. The other extreme of structural insight came from electron diffraction, which was instrumental in understanding structures of simple molecules at the early part of the last century21. Soon, structural details of small molecules in the gas phase were understood mostly by spectroscopy, particularly for those molecules in the atmosphere as well as in interstellar space. Electron diffraction of another kind became a prominent analytical tool with the advent of electron microscopy (EM). With cryo-EM in low-dose diffraction, structures were being solved at Angstrom (Å) resolution in conjunction with high-quality modeling. In addition to single-crystal diffraction, NMR, electron diffraction, and spectroscopy, there are a number of scattering and analytical tools involving X-rays, electrons, positrons, neutrons, photons, and ions to unravel the structure and properties of materials. While this review does not intend to cover comprehensively any of these techniques, we wish to note that the evolution of materials demands new kinds of techniques for compositional and structural analysis. This has happened because constituent units in advanced materials became more and more discrete while increasing in complexity. Along with this change, constituents of matter expanded from diatomics to polyatomics to macromolecules to nanoparticles. While the need to study all of them in isolation became intense, experimental methods of MS in ionization and ion analysis also got evolved.
The importance of MS as a tool for characterization of materials22,23,24 has got strengthened with the advancement in the science of atomically precise nanoclusters (NCs)25,26, which are materials with atomic precision. Such clusters exhibit unique electronic and optical properties, and have precision in its compositional structure in the metal core and the protecting ligand layers. Till date, single-crystal X-ray crystallography has been used to resolve the structures of several clusters like Au25L1827, Au28L2028, Au38L2429, Au40L2430, Au52L3231, Au92L4432, Au102L4433, Au133L5234, Ag44L3035, Ag25L1836, Ag29L1237, etc., where L corresponds to different types of ligands. However, due to their extremely small size, size determination by other techniques like transmission electronic microscopy (TEM) or powder XRD has been less reliable. In contrast, MS can accurately identify precision in their compositions. Techniques such as ion mobility–MS (IM–MS) and tandem MS (MS/MS) are becoming increasingly important for understanding the size, shape, and dynamics of cluster systems. Moreover, advancement in instrumentation has enabled the determination of inherent properties of clusters like electron affinity (EA), ionization energy (IE), electronic transitions, etc., through the development of new hyphenated techniques. In this review, we will discuss the recent advances in those emerging directions, and elucidate how MS is evolving into a promising tool for materials characterization.
This has become possible due to advancements in various areas of ionization, mass analysis, detection, sensitivity, resolution, etc. The landmark developments in these aspects are captured in Table 1.
Role of MS in the discovery and characterization of materials
One of the most popular classes of materials of modern science, fullerenes, was discovered using a mass spectrometer38. When a pulsed laser evaporated a solid disk of graphite, cooling of the resulting carbon species by a high-density helium flow resulted in the formation of carbon clusters, which were then detected by a TOF MS (Fig. 1a)38. In low density of He gas, even numbered clusters, Cn (n = 38–120) were formed (Fig. 1(iii)), with increase in the He pressure to ~760 torr, the abundances of the peaks due to C60 and C70 were increased (Fig. 1ii) and the peak for C60 became predominant upon maximizing the cluster–cluster reactions and thermalization (Fig. 1(i)). Apart from fullerenes, MS was immensely used for the characterization of gas-phase metal clusters of Na, namely Nan (n = 4–100)39. The discontinuous intensities for the clusters of n = 8, 20, 40, 58, and 92 observed in MS (Fig. 1b) were attributed to the stability of closed shell electronic configurations. Apart from that, there has been extensive research in the field of gas-phase semiconductor clusters like Si clusters (n = 8–24) (Fig. 1c)40 and molecular clusters like MoS2 clusters (Fig. 1d)41.
Early stages of characterization of noble metal clusters by MS
Gas-phase clusters of noble metals like Aun or Agn were also investigated by MS42. Furche et al. assigned the structures of Aun (n < 13) clusters by a combination of mass spectrometric and theoretical studies43. Lechtken et al. determined the structures of Au14− – Au19− clusters by trapped ion electron diffraction44. Later, in 2003, Li et al. observed that Au20 cluster which possesses a tetrahedral structure, shows similar atomic packing but largely different properties compared with bulk gold45. By photoelectron spectroscopy (PES), the authors demonstrated that the EA of Au20 cluster was comparable with that of C60, as shown in Fig. 2a. Along with such studies on gas-phase bare metal clusters, MS slowly evolved into a powerful tool for the characterization of ligand-protected noble metal NCs also.
After Brust reported a new method of synthesis of thiol-protected gold NPs in 199446, scientists started the synthesis of monodisperse NPs with molecule-like optical absorption features. In 1996, Whetten et al. used laser desorption ionization (LDI) for the characterization of dodecanethiol protected gold NCs having mass in the range of 27–93 kDa (Fig. 2b)47. The LDI measurements suggested that the gold cores consisted of 140–459 atoms, which was also consistent with their TEM measurements.
Advances in the study of noble metal clusters
Though LDI was used as the primary characterization tool in the 1990s, softer techniques like matrix-assisted laser desorption ionization (MALDI) and ESI became more popular for the ionization of intact ligand-protected clusters. In 1998, Schaff et al. reported a 10.4 kDa Au-GSH (GSH = glutathione) cluster, Au28(SG)1648. The composition was proposed from both MALDI MS and ESI MS. Following this, several other reports came on the same cluster until in 2005, it was reassigned as Au25(SG)18 by Negishi et al.49. With advancement in instrumentation, resolution of the mass spectral measurements improved, which enabled successful characterization of the cluster. MS has largely been used in the characterization of gold clusters, particularly due to their high stability under ambient conditions. Though ESI efficiently ionized water-soluble gold clusters, organic-soluble clusters often showed poor ionization efficiency in this technique. In order to overcome this, scientists implemented new approaches like ligand exchange with ionizable ligands50, using Ce(SO4)251, or CsOAc to enhance the ionization52,53. In most cases, with the choice of appropriate matrices like sinapinic acid, cinnamic acid, etc., MALDI worked better for the ionization of NCs. In 2008, Dass et al. introduced the use of trans-2-[3-(4-tert-butylphenyl)-2-methyl-2-propenylidene] malononitrile (DCTB) matrix which proved to be more effective52, and MALDI MS of intact Au25(PET)18 clusters was successfully measured (Fig. 3b). Comparison of MALDI MS of Au25(PET)18 clusters in different matrices showed the superiority of using DCTB (Fig. 3a). Larger NCs like Au102(pMBA)4454 were also characterized using a combination of ESI and MALDI MS. However, due to lesser stability, mass spectral characterization of silver clusters has always been challenging. As Ag has two isotopes (107 and 109), silver clusters show broader isotope patterns. At the initial stages of research in the field of Ag clusters, mercaptosuccinic acid (H2MSA) protected Ag7, Ag855,56, glutathione protected Ag11(SG)757, Ag15(SG)1158, Ag31(SG)1958, and Ag32(SG)1959, etc., clusters were characterized by MS. In 2012, Harkness et al. reported the Ag44(SR)30 NCs60, which was later crystallized in 2013 by Desireddy et al.35 and Yang et al.61. Recently, in 2015, Bakr et al. reported Ag25(SR)18 NCs which exhibits identical structure as that of Au25(SR)1836. A luminescent Ag NC, [Ag29(BDT)12(TPP)4]37, and a box-shaped [Ag67(SPhMe2)32(PPh3)8]62 were also reported from the same group. High-resolution ESI MS gave the accurate molecular formulae of these clusters, which matched exactly with their composition found in crystal structures. This highlights the importance of using MS as a versatile tool for the characterization of the NCs. Most recently it has been possible to characterize new types of silver clusters, [Ag18H16(TPP)10]2+, [Ag25H22(DPPE)8]3+, and [Ag26H22(TFPP)13]2+, which are protected by hydrides and phosphines63. Hydride-doped gold cluster [Au9H(PPh3)8]2+64 and bimetallic [HPdAu9(PPh3)8]2+ clusters65 were also characterized by ESI MS. The crystal structures of many such clusters are not yet available.
Apart from research in the field of Au and Ag NCs, the applicability of MS has also been extended to the field of clusters of other noble metals, eg., Pt NCs66,67, Pd NCs68,69,70. MS has also been proved to be useful in case of non-noble metals; eg. Cu NCs like [Cu20H11(S2P(OiPr)2)9]71, Fe NCs like [Fe6H10(PMe3)8]+72, Ir NCs like Ir9(PET)673, etc.
High-resolution mass spectrometry (HRMS)
Over the years, there has been a tremendous improvement in instrumentation, which has enabled to obtain HR mass spectra of clusters with minimum fragmentation. A schematic of a HRMS instrument is shown in Fig. 4a. In the TOF analyzer, the trajectory of the ions can be controlled in a shorter “V” or a longer “W” path. With the increase in the path of the ions, the resolution (m/Δm) increases from ~20,000–35,000 to ~35,000–50,000 in the m/z range of 20–16000. Additional parts like “stepwaves” are used to remove all contaminants before the ions enter the quadrupole of the mass spectrometer. This also increases the sensitivity of the measurement. Precise composition of the core and the ligands and charge states of the cluster can be determined accurately by using HRMS. The compositions are further confirmed from the isotope patterns of the metals (Au, Ag, Pt, Pd, etc.) and that of C, H, and S present in the ligands. HR ESI MS of Au25(PET)18− (PET is phenyl ethane thiol) and Ag25(DMBT)18− (DMBT is 2,4-dimethyl benzene thiol) are presented in Fig. 4b.
Apart from the conventional ESI MS analysis, HR mass spectrometers of the present day are also equipped with several other advanced features that enable further studies on the gas-phase cluster ions. Some such recent studies are summarized below.
Ion mobility–mass spectrometry (IM-MS)
MS coupled with IM has proved to be an important tool for structural characterization, and has enhanced research in many areas of biochemical and biophysical studies74. In the IM cell, the ions are passed through buffer gases like He, N2, etc. As a result, species having the same mass but different size and shape exhibit different collision cross-section (CCS), hence show different drift times and get separated. IM–MS is capable of studying the conformational dynamics present in a system, and has largely been used to understand the folding and unfolding mechanism in proteins75. In materials science, IM–MS has been used to study the mechanism of formation of fullerenes from polycyclic aromatic hydrocarbons (PAH). Laser desorption of PAHs like C60H21F9− causes stepwise loss of HF and H2 (Fig. 5ai), which results in increasing curvature of the remaining PAH fragments and finally closed-cage fullerenes are formed76. To understand the mechanism, the extent of curvature in the structure of the products at each step was modeled by comparing the CCS of the computed structures with the experimental CCS observed in IM–MS (Fig. 5aii). IM–MS has also been largely used for understanding the structures of polyoxometallates. Surman et al. showed that Keggin or Dawson type POM clusters (structures are shown in Fig. 5bi) can be used as IM calibrants for high mass negatively charged ions, and using the calibration curves (Fig. 5bii), structures of other POM clusters can be determined77.
Recently, IM–MS has also gained importance in the field of protected noble metal NCs. Baksi et al. separated dimers and trimers of [Au25(SR)18]− using IM–MS78. A schematic of the instrumental setup showing the formation of aggregates of the cluster under increased pressure conditions in the trap, and its subsequent separation in the IM chamber is presented in Fig. 6a. Chakraborty et al. have also shown that alkali metal ions can induce dimerization of [Ag29(BDT)12]3− NCs in a similar manner79. Baksi et al. identified isomerism in [Ag11(SG)7]− cluster in the gas phase80. However, as the crystal structure of [Ag11(SG)7]− is not known, the correlation with the condensed-phase structures could not be established. In another report, the authors showed that [Ag44(SR)30]4− and [Ag29(BDT)12]3− clusters also show isomerism in the gas phase81, which do not show any isomers in their crystal structure. Four distinct isomeric peaks were observed in IM–MS of [Ag44(FTP)30]4− (Fig. 6b). However, two isomers were separated for [Ag44(FTP)30]3−, which indicated that isomerism is charge-state dependent. The influence of the ligand shell in isomerism was studied by using [Ag44(SR)30] clusters protected by different ligands, which showed different number of isomers. Also, Au25(SR)18 and Ag25(SR)18 clusters showed a single peak in IM, suggesting that isomerism is highly selective to the structure and the symmetry of the cluster.
Kappes et al. performed IM studies on Au cluster cations Aun+. Comparison of experimental CCS with that of theoretical CCS from DFT-optimized structures revealed that Aun+ have planar structures for n = 3–7, while for n = 8–10, they show three-dimensional structures82. In a recent study, Daly et al. characterized homometallic cluster ions, [Ag14(C≡CtBu)12Cl]+, [Ag14(C≡CtBu)12Br]+ and heterometallic clusters ions, [Ag8Cu6(C≡CtBu)12Cl]+, [Ag8Cu6(C≡CtBu)12Br]+ by IM–MS83. These cluster ions showed a single peak in IM, and comparison of the CCS values derived from IM with the CCS values modeled from its X-ray crystal structure suggested that the gas-phase structures of the clusters resembled their condensed-phase structures (Fig. 7a, b). The shorter arrival time of the heterometallic cluster ions in comparison with that of the homometallic cluster ions was consistent with the observation from their crystal structures and DFT calculations (Fig. 7c). Thus, IM proved to be an effective tool not only for the separation of gas-phase entities but also for structural characterization of the clusters. In another study by Soleilhac et al., the size of GSH-protected clusters were compared in the solid, liquid, and gas phase by using X-ray powder diffraction (XRPD), time-resolved fluorescence anisotropy (TRFA), and IM–MS, respectively84. From the CCS values obtained from IM, the radii of the clusters were calculated as 1.22, 1.31, and 1.47 nm for Au15(SG)13, Au18(SG)14, and Au25(SG)18, respectively. Though the absolute values differed, the trends in the size of the above NCs were similar in all the three phases. In comparison with techniques like XRPD and TRFA, IM–MS is expected to become a more convenient technique for determining the size of the clusters due to the ease of sample preparation and lower limit of error (~2%) compared with other techniques.
Ligare et al. used ESI IM–MS to study the structural changes upon systematic ligand exchange of [Au8(PPh3)7]2+ and [Au11(PPh3)9H]2+ with methyldiphenylphosphine (MePPh2)85. Studies revealed that [Au8(PPh3)7]2+ cluster showed two isomers, and on increasing ligand exchange with MePPh2, these isomers underwent a change in relative population from a more compact structure showing lower arrival time to a more extended structure showing larger arrival time, as shown in Fig. 7d. In contrast, [Au11(PPh3)9H]2+ cluster showed only one isomer. Recently, Hirata et al. showed that phosphine-protected gold clusters like [Au9(PPh3)8]3+ and [PdAu8(PPh3)8]2+ undergo conversion to more compact isomers upon collisional excitation (Fig. 7e)86. Such studies help to understand the fluxionality in the structures of the NCs.
Gas-phase dissociation studies of noble metal nanoclusters
While IM-MS reveals enormous information regarding the shape, size, and conformations of the cluster ions, more information regarding their structure and bonding can be obtained from dissociation studies. In collision-induced dissociation (CID), mass-selected ions are subjected to dissociation by collision with gases like Ar, N2, He, etc. Fields-Zinna et al. reported CID studies on ligand-protected Au25 NCs and showed that the dissociation involved the Au2L3 semirings, which are the staples motifs present in its crystal structure87. The authors used Au25(SC2H4Ph)18 cluster, and ligand-exchanged it with –S(CH2CH2O)5CH3 (–SPEG) to facilitate ionization and studied CID on these mixed ligand-protected NaxAu25(SC2H4Ph)18-y(S(C2H4O)5CH3)y clusters using ESI TOF and ESI FTICR MS. CID produced fragments such as [Na2Au2L3]1+ representing the loss of a single semiring and fragments such as [NaAu3L3]1+ and [NaAu4L4]1+ representing the loss of multiple semirings87. Later, Angel et al. studied the fragmentation of Au25L18− NCs using HR ESI MS88. The predominant fragmentation pathway involved the loss of Au4L4 leading to the formation of fragment ions, such as Au21L14− and Au17L10−. They also introduced the use of IM–MS/MS, a technique where IM is coupled to CID, which could differentiate between fragmentation from the outer staples, fragmentation from the icosahedral core and the smaller ionic fragments, by separating them into distinct bands (Fig. 8). Black et al. carried out CID on larger Au NCs like Au144(SR)60 and Au130(SR)50, and also showed that the extent of fragmentation is specific to the charge state of the cluster ions89. CID of mixed-ligand-protected cluster, [Au11(PPh3)8 X2]+ (X = Cl, C≡CPh), showed competing fragmentation channels involving sequential loss of PPh3 and AuX(PPh3)90.
The extent of fragmentation also depends on the internal energy distribution of the ions, and hence CID studies were used to understand the stabilities of the cluster ions. Taking Ag29(SR)12, Ag25(SR)18, and Ag44(SR)30 NCs as examples, Chakraborty et al. demonstrated that the predominant fragmentation pathways of these NCs involved the loss of Ag5(SR)6−, Ag(SR)−, or Ag2(SR)3− fragments91. By using survival yield analysis and comparing the values of Ecom50 (Ecom50 is center-of-mass energy corresponding to 50% dissociation of the cluster), the stabilities of these clusters were compared (Fig. 9a), and the order of gas-phase stability [Ag29(SR)12]3− > [Ag25(SR)18]− > [Ag44(SR)30]3− was similar to that observed in the solution phase.
Another technique that can be effectively used to study the energetics and kinetics of the fragmentation process is surface-induced dissociation (SID). In this process, mass-selected ions are collided with a surface (usually Au surfaces protected by monolayers of alkanethiols) and impact induced activation leads to dissociation. In comparison with CID, SID is a more convenient technique to extract thermodynamic parameters of the cluster ions, as here the applied CE can be varied through a large range to observe a small change in the threshold internal energies of large ions. Using SID, Johnson et al. quantified the stability and ligand-binding energies of small TPP-protected Au clusters, Au7L62+, Au8L62+, Au8L72+, and Au9L72+92. Collision energy-resolved fragmentation curves revealed that Au8L62+ cluster was more stable toward dissociation (Fig. 9bi). SID enabled the quantitative estimation of the threshold energies and activation entropies of fragmentation. It also enabled to understand the kinetics of fragmentation by determining the microcanonical rate constants for the different fragmentation pathways (Fig. 9bii) and hence determining the kinetically and thermodynamically favored pathways. Moreover, taking Ag11(SG)7− clusters as an example, Baksi et al. showed that CID and SID of the clusters occurred through different pathways. SID produced more fragments compared with CID, and charge stripping from 3- to 2- and 1- charge states of the cluster ions occurred80.
While both CID and SID produces a lesser number of fragments, extensive fragmentation can be observed by ultraviolet photodissociation (UVPD) as observed in the case of Au25(pMBA)18 and Au36(pMBA)24 NCs93. UVPD on these clusters using λ = 193 nm involved high-energy fragmentation pathways and cleavage of Au–S and C–S bonds. When the cluster ions were exposed to multiple laser pulses, a series of bare Au cluster ions were formed by sequential evaporation of neutral Au atoms (Fig. 10). Recently, Ghosh et al. showed that the bare cluster ion, Ag17+, can be produced selectively by CID of [Ag18(TPP)10H16]2+ clusters and by further increasing the collision energy, a series of Agn+ (n = 1–17) clusters may be produced63,94. In a similar manner, [Ag25(DPPE)8H22]3+ and [Ag22(DPPE)8H19]3+ were also used as precursors for bare Ag clusters94. In a recent study by Jash et al., electrosprayed [Ag18(TPP)10H16]2+ clusters were passed through a heated tube, whereby all the ligand layers were desorbed leading to the formation of Ag17+ under ambient conditions, and the product ions were subsequently detected by MS (Fig. 11)95.
Spectroscopy on the mass-selected gas-phase cluster ions
The electronic properties of the NCs are probed experimentally by optical and electrochemical studies in solution. However, these experimental results are influenced by the solvents and the counter ions present in solution. So, there is a need to directly probe the energy levels of the isolated cluster ions in vacuum. Anion PES is usually used to determine HOMO–LUMO gaps and EAs. Such studies have been done for bare Aun− clusters96. Recently, Hirata et al. performed PES on isolated [Au25(SC12H25)18]− ions by coupling a magnetic bottle-type photoelectron spectrometer with a TOF mass spectrometer97. Schematic of the instrumental setup used for the study is presented in Fig. 12a. The photoelectron spectrum of [Au25(SC12H25)18]– showed two bands, A and B (Fig. 12b), corresponding to electron detachment from 1 P superatomic and Au 5d orbitals localized on the core Au atoms. The vertical detachment energy (VDE) and adiabatic electron affinity (AEA) of [Au25(SC12H25)18] was determined to be 2.5 eV and 2.2 eV, which corresponds to the values of Etop and Eth in the photoelectron spectrum (Fig. 12b), respectively. Hamouda et al. studied photoexcitation of [Au25(SG)18-6H]7−, where the yield of electron detachment as a function of the laser wavelength gave the gas-phase optical action spectra, which was found to be similar to the solution-phase spectrum98. Daly et al. studied the photofragmentation and VUV photoionization of [Ag10D8L6]2+ NCs in the gas phase by coupling a linear ion trap mass spectrometer with a beamline of synchrotron, capable of producing high flux of photons that could be tuned in the entire VUV range99. Upon photoexcitation of [Ag10D8L6]2+, a number of photofragments were produced, such as [Ag10D8L6]3+, [Ag10D8L5]2+, [Ag10D8L4]2+, [Ag9D8L4]2+, and [AgL2]+. The ionization onset of [Ag10D8L6]2+ was determined from the onsets in the yield of [Ag10D8L6]3+ as a function of photon energy. Two ionization onsets were determined as ~9.3 eV and ~10.6 eV, which might be due to removal of electrons from orbitals of different energy levels. In another study, authors from the same group performed VUV and UV spectroscopy on [Ag14−nCun(C≡CtBu)12 X]+ (X = Cl and Br) cluster ions83. The ionization onsets of the cluster ions were determined to be ~8.8 eV, and this was similar for all the ions, irrespective of the nature of halides or the extent of Cu doping (Fig. 12c). Photofragmentation of the same clusters were studied in the wavelength range of 235–291 nm by coupling a laser with the ion trap. The plot of photofragmentation yield as a function of the wavelength of the radiation gave the UV spectra of the cluster ions in the gas phase (Fig. 12d). The experimental optical absorption spectra were also in accordance with TDDFT calculations (Fig. 12d).
Resolving the solution-phase growth and nucleation of clusters
Apart from such studies on gas-phase cluster ions, MS also proved to be powerful in unrevealing complex solution-phase phenomena. Understanding the mechanism of nucleation and growth of clusters in solution has always remained challenging. In 2012, Yu et al. reported the size controlled growth of Au25 NCs where they slowed down the reduction rate by using CO as a mild reducing agent100. By using MALDI MS, the authors demonstrated that a mixture of Au10–15 NCs was produced within 5 min of reaction, followed by the formation of Au16–25 NCs over a period of 40 min, which finally size focussed to Au25 NCs after 24 h. However, due to fragmentation, only the core masses could be identified, and no information was obtained about the ligand shell of the intermediate products. More recently, in 2014, in another report from the same group, ESI MS was used to trace all the stable intermediates involved in the formation of Au25 clusters starting from Au thiolates. This study showed that the formation of Au NCs occurred by a 2e hopping process, which involved a fast reduction step followed by slow interconversion and size focussing steps101. All the intermediates involved in the process were detected by ESI MS, and the changes in the solution composition with gradual growth of the NCs were also in accordance with the changes in the optical absorption features (Fig. 13). Similar studies have been reported by the same group where ESI MS was used to understand the steps involved in the process of conversion of Au25 to Au44 NCs102. Isoelectronic conversion from [Au23(SR)16]− to [Au25(SR)18]− NCs was also studied by ESI MS. Careful mass spectrometric analysis of the system revealed the size-conversion reaction as [Au23(SR)16]− + 2[Au2(SR)3]− → [Au25(SR)18]− + 2 [Au(SR)2]−103. Based on HRMS measurements, Chen et al. have recently formulated a balanced equation for the stoichiometric synthesis of Au25(SR)18 NCs as, 32/x [Au(SR)]x + 8e− = [Au25(SR)18]− + 7 [Au(SR)2]−104. Similar studies have also been done to understand the growth of silver clusters like [Ag17(SPh–tBu)12]3− and [Ag44(SPh–tBu)30]4−105, and step-by-step mechanism of ligand exchange induced cluster conversion reactions, e.g., the conversion from Ag44 to Ag25 clusters and vice versa106.
Reactions between nanoparticles
Inter-cluster reactions are an emerging area in the field of NCs107. Krishnadas et al. demonstrated the reaction between Au25(FTP)18 and Ag44(FTP)30 NCs, which produces a mixture of alloy clusters in solution108,109. Exchange of Au–Ag atoms between the clusters were observed by using MALDI and ESI MS (Fig. 14a, b). In case of reaction between clusters protected by different ligands like Au25(PET)18 and Ag44(FTP)30, ligand exchanges were also observed in MS. In another report from the same group, the authors demonstrated reaction between Au25(SR)18 and Ag25(SR)18 clusters leading to the formation of alloy clusters AgmAun(SR)18 (n = 1–24) (Fig. 14c)110. The authors also detected a dianionic intermediate, [Ag25Au25(SR)36]2− (Fig. 14d) at the early stages of the reaction, which provided better insights into the mechanism of such reactions. Salassa et al. used MALDI MS and NMR spectroscopy to show that monolayers of clusters are dynamic in nature, and inter-cluster ligand exchanges can occur during collision between the NCs111. Using isotopically pure silver clusters made of 107Ag and 109Ag, Chakraborty et al. studied rapid isotopic exchange in silver clusters by HR ESI MS and found that the solution-state exchange dynamics of the clusters is similar to that occurring in water (H2O + D2O = 2HDO)112.
Supramolecular chemistry of monolayer-protected noble metal NCs
MS has also been used for exploring supramolecular chemistry of clusters. Chakraborty et al. studied supramolecular functionalization of [Ag29(BDT)12]3− clusters with fullerenes (C60 and C70) by HR ESI MS (Fig. 15a)113. The authors also used CID studies to gain further insights into the nature of the interaction and IM–MS (Fig. 15b) to study the structure of the adducts. Mathew et al. studied supramolecular functionalization of [Au25(SBB)18]− clusters with cyclodextrins (CD), the adducts [Au25(SBB)18 ∩ CDn]− (n = 1–4) were characterized by using MALDI and ESI MS (Fig. 15c)114. Recently, Nag et al. separated isomers of the inclusion complexes [Ag29(BDT)12 ∩ CDn]3− (n = 1–6) (Fig. 15d) by using IM–MS115. Two isomers were observed for n = 2, 3, and 4 while no isomerism was observed in the case of n = 1, 5, and 6 complexes, suggesting similar behavior to that observed in octahedral transition metal co-ordination complexes.
Liquid chromatography (LC) -MS
Characterization, analysis, and separation of mixtures of clusters by chromatography have been pursued for long116. Some of the recent developments include directly coupling chromatographic techniques to MS. Black et al. coupled reversed-phase chromatography with mass spectrometry and separated gold clusters of varying core sizes from their mixtures117. The same group also coupled capillary LC to ESI and separated Au104L45, Au130L50, Au137L56, and Au144L60 clusters from their mixtures (Fig. 16a)118. In another report, isomers of Ag29(LA)12 (LA = (R)-α lipoic acid) clusters were separated using LC–MS (Fig. 16b)119.
Toward nanoparticles
Though the atomically precise NCs have been extensively characterized by MS, plasmonic NPs are not atomically precise, and determination of their exact composition still remains challenging. Recently, with the tremendous advancement in instrumentation and using a combination of ESI, LDI, and MALDI MS, it has been possible to assign approximate composition to some such plasmonic NPs, e.g., Au333(SR)3953, Au∼500(SR)∼120120, Au∼940(SR)∼160121, etc. NPs. Recently in 2017, the crystal structure of a plasmonic NP, Au279(SPh–tBu)84 was reported122. MS measurements also revealed the composition in accordance with the crystal structure. Even larger NPs, Au∼1400123 with a mass of ~300 kDa (Fig. 17a) and Au∼2000124 with a mass of ~400 kDa (Fig. 17b) were recently characterized by MALDI MS.
Mass spectrometry as a tool for materials synthesis
Electrospray as a method of ionization has also been used for organic synthesis125,126. While synthesis of new molecules in sprays was observed before, bulk synthesis of molecules with which characterization is possible was not attempted earlier. Using a home-built nano-electrospray source, Sarkar et al.127 showed that spraying an aqueous solution of silver acetate (AgOAc) over a TEM grid, resulted in the formation of 1D nanowire structures of Ag NPs (Fig. 18). The precursors for the formation of the nanostructures were ions. Such studies unfold new routes of synthesis of materials using mass spectrometric interfaces127.
Conclusions and future perspectives
In conclusion, we have presented how MS has enriched the field of materials science; in particular, the field of monolayer-protected atomically precise NCs. From the discussion presented above, it becomes clear that MS has developed into a powerful tool for materials characterization, and it is expected to expand further in the future. MS as a technique is capable of building new interfaces which connects itself with independent disciplines. This has produced GC–MS, LC–MS, and their variations. New hyphenated methodologies and their power to understand structural details would expand further in the coming years. Combined with automation, synthesis of materials of atomic precision is expected to produce greater throughput in precision manufacture. Newer methods, utilizing the properties of molecular solids, and molecular building blocks such as infrared (IR) absorption will be important to study molecular interactions on such materials. Interfaces such as ion chromatography or PES could be built with the mass spectrometer, which can produce new information related to structural changes and associated electronic structure. As the science of the noble metal clusters is enriched by MS, a thorough study on these systems also reveals their potential to be used as mass spectrometric standards128. Due to their high efficiency of ionization, distinct isotope patterns, stable intensities, and high m/z values, they can be used as calibrants for mass spectrometers. This might help in overcoming the limitations of the lack of proper calibrants in the high mass range, and especially in the negative ion mode128.
Gas-phase IR in combination with IM–MS has recently gained importance in revealing the structural details of proteins. It has also proved to be powerful in understanding the geometries of other molecules such as the aggregates of protoporphyrin IX where IR spectroscopy confirmed that the pairing of carboxylic groups occurred during the formation of the stacked conformations129. Moreover, IM–MS in combination with IR has also been used in understanding the structures of isomers of small molecules like the N-protonated and O-protonated forms of benzocaine130, and structures of serine octamers129. In a similar manner, such studies may be extended in the case of clusters as well. Gas-phase IR can give more insights into the structure of the isomers or polymers of clusters. It can also be helpful for understanding interactions in the case of supramolecular adducts of clusters.
Spectroscopy and dynamics of trapped clusters ions, produced inside the mass spectrometer, can present new insights into their electronic structure. Trapped ion electron diffraction may be used for determining structures of noble metal NCs. Other possibilities include studies such as trapped ion laser-induced fluorescence. Spectroscopy of isolated cluster ions like electron detachment spectroscopy, PES, and single-particle fluorescence may be explored for a wide range of ligand-protected clusters. Such studies may even be done on specific isomers of the clusters to obtain isomer-specific properties. Catalysis of isolated cluster ions may be studied. Ion soft landing may be used to deposit ligand-protected cluster ions on specific substrates.
Extensive studies can also be done with clusters synthesized in macromolecular templates like proteins131, DNAs132, etc., which are of particular interest because of their biocompatibility. Till now, most of the protein-protected clusters are mainly characterized by MS due to the difficulty in their crystallization. Though this aspect has not been discussed in detail in this review, enormous literature exists on the use of MS in understanding their composition, mechanism of growth, etc.131,133. MS has always been effective in revealing structural details of proteins. In a similar way such studies can be extended to clusters synthesized in protein templates.
With such enormous possibilities, the proliferation of MS into materials science could make it an indispensable tool in that branch of science as has happened with TEM. This would produce new demands for instrumentation, associated interfaces, calibration standards, and associated needs. Expanding the limits of mass spectrometry in mass range and resolution would push traditional analytical methods further. Depending on the properties of such materials, possibilities to do catalysis, IR spectroscopy, fluorescence spectroscopy, and electron diffraction in mass spectrometers, as discussed above, could expand our understanding of phenomena to even greater detail.
References
Fenn, J. B., Mann, M., Meng, C. K., Wong, S. F. & Whitehouse, C. M. Electrospray ionization for mass spectrometry of large biomolecules. Science 246, 64 (1989).
Wenzel, R. J., Matter, U., Schultheis, L. & Zenobi, R. Analysis of megadalton ions using cryodetection MALDI time-of-flight mass spectrometry. Anal. Chem. 77, 4329–4337 (2005).
Thomson, J. J. Bakerian lecture:—rays of positive electricity. Proc. R. Soc. A 89, 1–20 (1913).
Thomas, J. M. J. J. Thomson: winner of the Nobel Prize for physics 1906. Angew. Chem. Int. Ed. 45, 6797–6800 (2006).
Aston, F. W. Isotopes. London: Edward Arnold, 252 (E. Arnold & Company, London 1922).
McLafferty, F. W. A century of progress in molecular mass spectrometry. Ann. Rev. Anal. Chem. 4, 1–22 (2011).
Gohlke, R. S. Time-of-flight mass spectrometry and gas-liquid partition chromatography. Anal. Chem. 31, 535–541 (1959).
Gohlke, R. S. & McLafferty, F. W. Early gas chromatography/mass spectrometry. J. Am. Soc. Mass Spectrom. 4, 367–371 (1993).
McLafferty, F. W., Todd, P. J., McGilvery, D. C. & Baldwin, M. A. Collisional activation and metastable ion characteristics. High-resolution tandem mass spectrometer (MS/MS) of increased sensitivity and mass range. J. Am. Chem. Soc. 102, 3360–3363 (1980).
Tanaka, K. et al. Protein and polymer analyses up to m/z 100 000 by laser ionization time-of-flight mass spectrometry. Rapid Commun. Mass Spectrom. 2, 151–153 (1988).
Xian, F., Hendrickson, C. L. & Marshall, A. G. High resolution mass spectrometry. Anal. Chem. 84, 708–719 (2012).
Cameron, A. E., Eggers Jr, D. F. An ion “Velocitron”. Rev. Sci. Instrum. 19, 605–607 (1948).
Comisarow, M. B. & Marshall, A. G. Fourier transform ion cyclotron resonance spectroscopy. Chem. Phys. Lett. 25, 282–283 (1974).
Makarov, A. Electrostatic axially harmonic orbital trapping: a high-performance technique of mass analysis. Anal. Chem. 72, 1156–1162 (2000).
Makarov, A., Denisov, E. & Lange, O. Performance evaluation of a high-field orbitrap mass analyzer. J. Am. Soc. Mass Spectrom. 20, 1391–1396 (2009).
Nolting, D., Malek, R. & Makarov, A. Ion traps in modern mass spectrometry. Mass Spectrom. Rev. 0, 1–19 (2017).
Bunaciu, A. A., Udriştioiu, Eg & Aboul-Enein, H. Y. X-ray diffraction: instrumentation and applications. Crit. Rev. Anal. Chem. 45, 289–299 (2015).
McLafferty, F. W. Tandem mass spectrometry (MS/MS): a promising new analytical technique for specific component determination in complex mixtures. Acc. Chem. Res. 13, 33–39 (1980).
Elyashberg, M. Identification and structure elucidation by NMR spectroscopy. TrAC Trends Anal. Chem. 69, 88–97 (2015).
Kwan, E. E. & Huang, S. G. Structural elucidation with NMR spectroscopy: practical strategies for organic chemists. Eur. J. Org. Chem. 2008, 2671–2688 (2008).
Pauling, L. The Nature of the Chemical Bond and the Structure of Molecules and Crystals: An Introduction to Modern Structural Chemistry. Third Edition (Cornell University Press, Ithaca, New York, 1960).
Harkness, K. M., Cliffel, D. E. & McLean, J. A. Characterization of thiolate-protected gold nanoparticles by mass spectrometry. Analyst 135, 868–874 (2010).
Lu, Y. & Chen, W. Application of mass spectrometry in the synthesis and characterization of metal nanoclusters. Anal. Chem. 87, 10659–10667 (2015).
Johnson, G. E. & Laskin, J. Understanding ligand effects in gold clusters using mass spectrometry. Analyst 141, 3573–3589 (2016).
Chakraborty, I. & Pradeep, T. Atomically precise clusters of noble metals: emerging link between atoms and nanoparticles. Chem. Rev. 117, 8208–8271 (2017).
Jin, R., Zeng, C., Zhou, M. & Chen, Y. Atomically precise colloidal metal nanoclusters and nanoparticles: fundamentals and opportunities. Chem. Rev. 116, 10346–10413 (2016).
Heaven, M. W., Dass, A., White, P. S., Holt, K. M. & Murray, R. W. Crystal structure of the gold nanoparticle [N(C8H17)4][Au25(SCH2CH2Ph)18]. J. Am. Chem. Soc. 130, 3754–3755 (2008).
Zeng, C., Li, T., Das, A., Rosi, N. L. & Jin, R. Chiral structure of thiolate-protected 28-gold-atom nanocluster determined by X-ray crystallography. J. Am. Chem. Soc. 135, 10011–10013 (2013).
Qian, H., Eckenhoff, W. T., Zhu, Y., Pintauer, T. & Jin, R. Total structure determination of thiolate-protected Au38 nanoparticles. J. Am. Chem. Soc. 132, 8280–8281 (2010).
Malola, S. et al. Au40(SR)24 cluster as a chiral dimer of 8-electron superatoms: structure and optical properties. J. Am. Chem. Soc. 134, 19560–19563 (2012).
Zeng, C. et al. Gold tetrahedra coil up: Kekulé-like and double helical superstructures. Sci. Adv. 1, e1500425 (2015).
Zeng, C., Liu, C., Chen, Y., Rosi, N. L. & Jin, R. Atomic structure of self-assembled monolayer of thiolates on a tetragonal Au92 nanocrystal. J. Am. Chem. Soc. 138, 8710–8713 (2016).
Jadzinsky, P. D., Calero, G., Ackerson, C. J., Bushnell, D. A. & Kornberg, R. D. Structure of a thiol monolayer-protected gold nanoparticle at 1.1 Å resolution. Science 318, 430–433 (2007).
Dass, A. et al. Au133(SPh-tBu)52 nanomolecules: X-ray crystallography, optical, electrochemical, and theoretical analysis. J. Am. Chem. Soc. 137, 4610–4613 (2015).
Desireddy, A. et al. Ultrastable silver nanoparticles. Nature 501, 399 (2013).
Joshi, C. P., Bootharaju, M. S., Alhilaly, M. J. & Bakr, O. M. [Ag25(SR)18]−: the “Golden” silver nanoparticle. J. Am. Chem. Soc. 137, 11578–11581 (2015).
AbdulHalim, L. G. et al. Ag29(BDT)12(TPP)4: a tetravalent nanocluster. J. Am. Chem. Soc. 137, 11970–11975 (2015).
Kroto, H. W., Heath, J. R., O’Brien, S. C., Curl, R. F. & Smalley, R. E. C60: buckminsterfullerene. Nature 318, 162 (1985).
Knight, W. D. et al. Electronic shell structure and abundances of sodium clusters. Phys. Rev. Lett. 52, 2141–2143 (1984).
Maruyama, S., Kohno, M. & Inoue, S. FT-ICR study of chemical reaction of silicon clusters. Therm. Sci. Eng. 7, 1–6 (1999).
Singh, D. M. D. J., Pradeep, T., Bhattacharjee, J. & Waghmare, U. V. Closed-cage clusters in the gaseous and condensed phases derived from sonochemically synthesized MoS2 nanoflakes. J. Am. Soc. Mass Spectrom. 18, 2191–2197 (2007).
Katakuse, I. et al. Mass distributions of negative cluster ions of copper, silver, and gold. Int. J. Mass Spectrom. Ion-. Process. 74, 33–41 (1986).
Furche, F. et al. The structures of small gold cluster anions as determined by a combination of ion mobility measurements and density functional calculations. J. Chem. Phys. 117, 6982–6990 (2002).
Lechtken, A., Neiss, C., Kappes, M. M. & Schooss, D. Structure determination of gold clusters by trapped ion electron diffraction: Au14 −–Au19 −. Phys. Chem. Chem. Phys. 11, 4344–4350 (2009).
Li, J., Li, X., Zhai, H.-J. & Wang, L.-S. Au20: a tetrahedral cluster. Science 299, 864 (2003).
Brust, M., Walker, M., Bethell, D., Schiffrin, D. J. & Whyman, R. Synthesis of thiol-derivatised gold nanoparticles in a two-phase liquid-liquid system. J. Chem. Soc., Chem. Commun., 801–802 (1994).
Whetten, R. L. et al. Nanocrystal gold molecules. Adv. Mat. 8, 428–433 (1996).
Schaaff, T. G., Knight, G., Shafigullin, M. N., Borkman, R. F. & Whetten, R. L. Isolation and selected properties of a 10.4 kDa gold:glutathione cluster compound. J. Phys. Chem. B 102, 10643–10646 (1998).
Negishi, Y., Nobusada, K. & Tsukuda, T. Glutathione-protected gold clusters revisited: bridging the gap between gold(I)−thiolate complexes and thiolate-protected gold nanocrystals. J. Am. Chem. Soc. 127, 5261–5270 (2005).
Tracy, J. B. et al. Poly(ethylene glycol) ligands for high-resolution nanoparticle mass spectrometry. J. Am. Chem. Soc. 129, 6706–6707 (2007).
Negishi, Y., Chaki, N. K., Shichibu, Y., Whetten, R. L. & Tsukuda, T. Origin of magic stability of thiolated gold clusters: a case study on Au25(SC6H13)18. J. Am. Chem. Soc. 129, 11322–11323 (2007).
Dass, A., Stevenson, A., Dubay, G. R., Tracy, J. B. & Murray, R. W. Nanoparticle MALDI-TOF mass spectrometry without fragmentation: Au25(SCH2CH2Ph)18 and mixed monolayer Au25(SCH2CH2Ph)18−x(L)x. J. Am. Chem. Soc. 130, 5940–5946 (2008).
Qian, H., Zhu, Y. & Jin, R. Atomically precise gold nanocrystal molecules with surface plasmon resonance. Proc. Natl. Acad. Sci. 109, 696–700 (2012).
Levi-Kalisman, Y. et al. Synthesis and characterization of Au102(p-MBA)44 nanoparticles. J. Am. Chem. Soc. 133, 2976–2982 (2011).
Wu, Z. et al. High yield, large scale synthesis of thiolate-protected Ag7 clusters. J. Am. Chem. Soc. 131, 16672–16674 (2009).
Udaya Bhaskara Rao, T. & Pradeep, T. Luminescent Ag7 and Ag8 clusters by interfacial synthesis. Angew. Chem. 49, 3925–3929 (2010).
Baksi, A., Bootharaju, M. S., Chen, X., Häkkinen, H. & Pradeep, T. Ag11(SG)7: a new cluster identified by mass spectrometry and optical spectroscopy. J. Phys. Chem. C. 118, 21722–21729 (2014).
Bertorelle, F. et al. Synthesis, characterization and optical properties of low nuclearity liganded silver clusters: Ag31(SG)19 and Ag15(SG)11. Nanoscale 5, 5637–5643 (2013).
Udayabhaskararao, T., Bootharaju, M. S. & Pradeep, T. Thiolate-protected Ag32 clusters: mass spectral studies of composition and insights into the Ag-thiolate structure from NMR. Nanoscale 5, 9404–9411 (2013).
Harkness, K. M. et al. Ag44(SR)30 4−: a silver-thiolate superatom complex. Nanoscale 4, 4269–4274 (2012).
Yang, H. et al. All-thiol-stabilized Ag44 and Au12Ag32 nanoparticles with single-crystal structures. Nat. Commun. 4, 2422 (2013).
Alhilaly, M. J. et al. [Ag67(SPhMe2)32(PPh3)8]3+: synthesis, total structure, and optical properties of a large box-shaped silver nanocluster. J. Am. Chem. Soc. 138, 14727–14732 (2016).
Bootharaju, M. S. et al. A new class of atomically precise, hydride-rich silver nanoclusters co-protected by phosphines. J. Am. Chem. Soc. 138, 13770–13773 (2016).
Takano, S., Hirai, H., Muramatsu, S. & Tsukuda, T. Hydride-doped gold superatom (Au9H)2+: synthesis, structure, and transformation. J. Am. Chem. Soc. 140, 8380–8383 (2018).
Takano, S., Hirai, H., Muramatsu, S. & Tsukuda, T. Hydride-mediated controlled growth of a bimetallic (Pd@Au8)2+ superatom to a hydride-doped (HPd@Au10)3+ superatom. J. Am. Chem. Soc. 140, 12314–12317 (2018).
Le Guével, X., Trouillet, V., Spies, C., Jung, G. & Schneider, M. Synthesis of yellow-emitting platinum nanoclusters by ligand etching. J. Phys. Chem. C. 116, 6047–6051 (2012).
Tanaka, S.-I., Miyazaki, J., Tiwari, D. K., Jin, T. & Inouye, Y. Fluorescent platinum nanoclusters: synthesis, purification, characterization, and application to bioimaging. Angew. Chem. 50, 431–435 (2011).
Zamborini, F. P., Gross, S. M. & Murray, R. W. Synthesis, characterization, reactivity, and electrochemistry of palladium, monolayer protected clusters. Langmuir 17, 481–488 (2001).
Negishi, Y., Murayama, H. & Tsukuda, T. Formation of Pdn(SR)m clusters (n < 60) in the reactions of PdCl2 and RSH (R = n-C18H37, n-C12H25). Chem. Phys. Lett. 366, 561–566 (2002).
Chen, J., Pan, Y., Wang, Z. & Zhao, P. The fluorescence properties of tiara like structural thiolated palladium clusters. Dalton Trans. 46, 12964–12970 (2017).
Dhayal, R. S. et al. Diselenophosphate-induced conversion of an achiral [Cu20H11{S2P(OiPr)2}9] into a chiral [Cu20H11{Se2P(OiPr)2}9] polyhydrido nanocluster. Angew. Chem. 54, 13604–13608 (2015).
Araake, R., Sakadani, K., Tada, M., Sakai, Y. & Ohki, Y. [Fe4] and [Fe6] hydride clusters supported by phosphines: synthesis, characterization, and application in N2 reduction. J. Am. Chem. Soc. 139, 5596–5606 (2017).
Bhat, S. et al. Atomically precise and monolayer protected iridium clusters in solution. RSC Adv. 6, 26679–26688 (2016).
Lanucara, F., Holman, S. W., Gray, C. J. & Eyers, C. E. The power of ion mobility-mass spectrometry for structural characterization and the study of conformational dynamics. Nat. Chem. 6, 281 (2014).
Canzani, D., Laszlo, K. J. & Bush, M. F. Ion mobility of proteins in nitrogen gas: effects of charge state, charge distribution, and structure. J. Phys. Chem. A 122, 5625–5634 (2018).
Greisch, J.-F. et al. From planar to cage in 15 easy steps: resolving the C60H21F9 – → C60 – transformation by ion mobility mass spectrometry. J. Am. Chem. Soc. 138, 11254–11263 (2016).
Surman, A. J. et al. Sizing and discovery of nanosized polyoxometalate clusters by mass spectrometry. J. Am. Chem. Soc. 138, 3824–3830 (2016).
Baksi, A., Chakraborty, P., Bhat, S., Natarajan, G. & Pradeep, T. [Au25(SR)18]2 2−: a noble metal cluster dimer in the gas phase. Chem. Commun. 52, 8397–8400 (2016).
Chakraborty, P. et al. Understanding proton capture and cation-induced dimerization of [Ag29(BDT)12]3− clusters by ion mobility mass spectrometry. Phys. Chem. Chem. Phys. 20, 7593–7603 (2018).
Baksi, A., Harvey, S. R., Natarajan, G., Wysocki, V. H. & Pradeep, T. Possible isomers in ligand protected Ag11 cluster ions identified by ion mobility mass spectrometry and fragmented by surface induced dissociation. Chem. Commun. 52, 3805–3808 (2016).
Baksi, A. et al. Isomerism in monolayer protected silver cluster ions: an ion mobility-mass spectrometry approach. J. Phys. Chem. C. 121, 13421–13427 (2017).
Gilb, S., Weis, P., Furche, F., Ahlrichs, R. & Kappes, M. M. Structures of small gold cluster cations (Aun +, n<14): ion mobility measurements versus density functional calculations. J. Chem. Phys. 116, 4094–4101 (2002).
Daly, S. et al. Gas-phase structural and optical properties of homo- and heterobimetallic rhombic dodecahedral nanoclusters [Ag14–nCun(C≡CtBu)12X]+ (X = Cl and Br): Ion mobility, VUV and UV spectroscopy, and DFT calculations. J. Phys. Chem. C. 121, 10719–10727 (2017).
Soleilhac, A. et al. Size characterization of glutathione-protected gold nanoclusters in the solid, liquid and gas phases. J. Phys. Chem. C. 121, 27733–27740 (2017).
Ligare, M. R., Baker, E. S., Laskin, J. & Johnson, G. E. Ligand induced structural isomerism in phosphine coordinated gold clusters revealed by ion mobility mass spectrometry. Chem. Commun. 53, 7389–7392 (2017).
Hirata, K. et al. Interconversions of structural isomers of [PdAu8(PPh3)8]2+ and [Au9(PPh3)8]3+ revealed by ion mobility mass spectrometry. J. Phys. Chem. C. 122, 23123–23128 (2018).
Fields-Zinna, C. A. et al. Tandem mass spectrometry of thiolate-protected Au nanoparticles NaxAu25(SC2H4Ph)18−y(S(C2H4O)5CH3)y. J. Am. Chem. Soc. 131, 13844–13851 (2009).
Angel, L. A., Majors, L. T., Dharmaratne, A. C. & Dass, A. Ion mobility mass spectrometry of Au25(SCH2CH2Ph)18 nanoclusters. ACS Nano 4, 4691–4700 (2010).
Black, D. M., Bhattarai, N., Whetten, R. L. & Bach, S. B. H. Collision-induced dissociation of monolayer protected clusters Au144 and Au130 in an electrospray time-of-flight mass spectrometer. J. Phys. Chem. A 118, 10679–10687 (2014).
Tomihara, R. et al. Collision-induced dissociation of undecagold clusters protected by mixed ligands [Au11(PPh3)8X2]+ (X = Cl, C≡CPh). ACS Omega 3, 6237–6242 (2018).
Chakraborty, P. et al. Dissociation of gas phase ions of atomically precise silver clusters reflects their solution phase stability. J. Phys. Chem. C. 121, 10971–10981 (2017).
Johnson, G. E., Priest, T. & Laskin, J. Size-dependent stability toward dissociation and ligand binding energies of phosphine ligated gold cluster ions. Chem. Sci. 5, 3275–3286 (2014).
Black, D. M., Crittenden, C. M., Brodbelt, J. S. & Whetten, R. L. Ultraviolet photodissociation of selected gold clusters: ultraefficient unstapling and ligand stripping of Au25(pMBA)18 and Au36(pMBA)24. J. Phys. Chem. Lett. 8, 1283–1289 (2017).
Ghosh, A. et al. Sequential dihydrogen desorption from hydride-protected atomically precise silver clusters and the formation of naked clusters in the gas phase. ACS Nano 11, 11145–11151 (2017).
Jash, M. et al. Preparation of gas phase naked silver cluster cations outside a mass spectrometer from ligand protected clusters in solution. Nanoscale 10, 15714–15722 (2018).
Wang, L.-M. & Wang, L.-S. Probing the electronic properties and structural evolution of anionic gold clusters in the gas phase. Nanoscale 4, 4038–4053 (2012).
Hirata, K. et al. Anion photoelectron spectroscopy of free [Au25(SC12H25)18]−. Nanoscale 9, 13409–13412 (2017).
Hamouda, R. et al. Electron emission of gas-phase [Au25(SG)18-6H]7− gold cluster and its action spectroscopy. J. Phys. Chem. Lett. 1, 3189–3194 (2010).
Daly, S. et al. Gas-phase VUV photoionisation and photofragmentation of the silver deuteride nanocluster [Ag10D8L6]2+ (L=bis(diphenylphosphino)methane). A joint experimental and theoretical study. Phys. Chem. Chem. Phys. 17, 25772–25777 (2015).
Yu, Y., Luo, Z., Yu, Y., Lee, J. Y. & Xie, J. Observation of cluster size growth in CO-directed synthesis of Au25(SR)18 nanoclusters. ACS Nano 6, 7920–7927 (2012).
Luo, Z. et al. Toward understanding the growth mechanism: tracing all stable intermediate species from reduction of Au(I)–thiolate complexes to evolution of Au25 nanoclusters. J. Am. Chem. Soc. 136, 10577–10580 (2014).
Yao, Q. et al. Understanding seed-mediated growth of gold nanoclusters at molecular level. Nat. Commun. 8, 927 (2017).
Yao, Q. et al. Revealing isoelectronic size conversion dynamics of metal nanoclusters by a noncrystallization approach. Nat. Commun. 9, 1979 (2018).
Chen, T. et al. Synthesis of water-soluble [Au25(SR)18]− using a stoichiometric amount of NaBH4. J. Am. Chem. Soc. 140, 11370–11377 (2018).
Cao, Y. et al. Evolution of thiolate-stabilized Ag nanoclusters from Ag-thiolate cluster intermediates. Nat. Commun. 9, 2379 (2018).
Bootharaju, M. S., Joshi, C. P., Alhilaly, M. J. & Bakr, O. M. Switching a nanocluster core from hollow to nonhollow. Chem. Mat. 28, 3292–3297 (2016).
Krishnadas, K. R. et al. Interparticle reactions: an emerging direction in nanomaterials chemistry. Acc. Chem. Res. 50, 1988–1996 (2017).
Krishnadas, K. R. et al. Intercluster reactions between Au25(SR)18 and Ag44(SR)30. J. Am. Chem. Soc. 138, 140–148 (2016).
Krishnadas, K. R., Baksi, A., Ghosh, A., Natarajan, G. & Pradeep, T. Manifestation of geometric and electronic shell structures of metal clusters in intercluster reactions. ACS Nano 11, 6015–6023 (2017).
Krishnadas, K. R., Baksi, A., Ghosh, A., Natarajan, G. & Pradeep, T. Structure-conserving spontaneous transformations between nanoparticles. Nat. Commun. 7, 13447 (2016).
Salassa, G., Sels, A., Mancin, F. & Bürgi, T. Dynamic nature of thiolate monolayer in Au25(SR)18 nanoclusters. ACS Nano 11, 12609–12614 (2017).
Chakraborty, P. et al. Rapid isotopic exchange in nanoparticles. Sci. Adv. 5, eaau7555 (2019).
Chakraborty, P., Nag, A., Paramasivam, G., Natarajan, G. & Pradeep, T. Fullerene-functionalized monolayer-protected silver clusters: [Ag29(BDT)12(C60)n]3– (n = 1–9). ACS Nano 12, 2415–2425 (2018).
Mathew, A. et al. Supramolecular functionalization and concomitant enhancement in properties of Au25 clusters. ACS Nano 8, 139–152 (2014).
Nag, A. et al. Isomerism in supramolecular adducts of atomically precise nanoparticles. J. Am. Chem. Soc. 140, 13590–13593 (2018).
Niihori, Y., Uchida, C., Kurashige, W. & Negishi, Y. High-resolution separation of thiolate-protected gold clusters by reversed-phase high-performance liquid chromatography. Phys. Chem. Chem. Phys. 18, 4251–4265 (2016).
Black, D. M., Bhattarai, N., Bach, S. B. H. & Whetten, R. L. Selection and identification of molecular gold clusters at the nano(gram) scale: reversed phase HPLC–ESI–MS of a mixture of Au-Peth MPCs. J. Phys. Chem. Lett. 7, 3199–3205 (2016).
Black, D. M., Bach, S. B. H. & Whetten, R. L. Capillary liquid chromatography mass spectrometry analysis of intact monolayer-protected gold clusters in complex mixtures. Anal. Chem. 88, 5631–5636 (2016).
Black, D. M. et al. Liquid chromatography separation and mass spectrometry detection of silver-lipoate Ag29(LA)12 nanoclusters: evidence of isomerism in the solution phase. Anal. Chem. 90, 2010–2017 (2018).
Kumara, C. et al. Super-stable, highly monodisperse plasmonic faradaurate-500 nanocrystals with 500 gold atoms: Au∼500(SR)∼120. J. Am. Chem. Soc. 136, 7410–7417 (2014).
Kumara, C., Zuo, X., Cullen, D. A. & Dass, A. Faradaurate-940: synthesis, mass spectrometry, electron microscopy, high-energy X-ray diffraction, and X-ray scattering study of Au∼940±20(SR)∼160±4 nanocrystals. ACS Nano 8, 6431–6439 (2014).
Sakthivel, N. A., Theivendran, S., Ganeshraj, V., Oliver, A. G. & Dass, A. Crystal structure of faradaurate-279: Au279(SPh-tBu)84 plasmonic nanocrystal molecules. J. Am. Chem. Soc. 139, 15450–15459 (2017).
Kumara, C. et al. Isolation of a 300 kDa, Au∼1400 gold compound, the standard 3.6 nm capstone to a series of plasmonic nanocrystals protected by aliphatic-like thiolates. J. Phys. Chem. Lett. 9, 6825–6832 (2018).
Vergara, S. et al. Synthesis, mass spectrometry, and atomic structural analysis of Au∼2000(SR)∼290 nanoparticles. J. Phys. Chem. C. 122, 26733–26738 (2018).
Yan, X., Bain, R. M. & Cooks, R. G. Organic reactions in microdroplets: reaction acceleration revealed by mass spectrometry. Angew. Chem. Int. Ed. 55, 12960–12972 (2016).
Ingram, A. J., Boeser, C. L. & Zare, R. N. Going beyond electrospray: mass spectrometric studies of chemical reactions in and on liquids. Chem. Sci. 7, 39–55 (2016).
Sarkar, D. et al. Metallic nanobrushes made using ambient droplet sprays. Adv. Mat. 28, 2223–2228 (2016).
Baksi, A. et al. Monolayer-protected noble-metal clusters as potential standards for negative-ion mass spectrometry. Anal. Chem. 90, 11351–11357 (2018).
Seo, J., Warnke, S., Pagel, K., Bowers, M. T. & von Helden, G. Infrared spectrum and structure of the homochiral serine octamer–dichloride complex. Nat. Chem. 9, 1263 (2017).
Warnke, S. et al. Protomers of benzocaine: solvent and permittivity dependence. J. Am. Chem. Soc. 137, 4236–4242 (2015).
Xavier, P. L., Chaudhari, K., Baksi, A. & Pradeep, T. Protein-protected luminescent noble metal quantum clusters: an emerging trend in atomic cluster nanoscience. Nano Rev. 3, 14767 (2012).
Gwinn, E., Schultz, D., Copp, S. M. & Swasey, S. DNA-protected silver clusters for nanophotonics. Nanomaterials 5, 180–207 (2015).
Chaudhari, K., Xavier, P. L. & Pradeep, T. Understanding the evolution of luminescent gold quantum clusters in protein templates. ACS Nano 5, 8816–8827 (2011).
Barner-Kowollik, C., Gruendling, T., Falkenhagen, J. & Weidner, S. Mass Spectrometry in Polymer Chemistry (Wiley-VCH Verlag GmbH & Co. KGaA., Weinheim, Germany, 2012).
Dempster, A. J. A new method of positive ray analysis. Phys. Rev. 11, 316–325 (1918).
Arnot, F. L. & Beckett, C. Formation of negative ions at surfaces. Nature 141, 1011 (1938).
Graus, M., Müller, M. & Hansel, A. High resolution PTR-TOF: quantification and formula confirmation of VOC in real time. J. Am. Soc. Mass Spectrom. 21, 1037–1044 (2010).
Cody, R. B., Tamura, J. & Musselman, B. D. Electrospray ionization/magnetic sector mass spectrometry: calibration, resolution, and accurate mass measurements. Anal. Chem. 64, 1561–1570 (1992).
E., S. W. A pulsed mass spectrometer with time dispersion. Phys. Rev. 69, 674–674 (1946).
Johnson, E. G. & Nier, A. O. Angular aberrations in sector shaped electromagnetic lenses for focusing beams of charged particles. Phys. Rev. 91, 10–17 (1953).
Wiley, W. C. & McLaren, I. H. Time‐of‐flight mass spectrometer with improved resolution. Rev. Sci. Instrum. 26, 1150–1157 (1955).
Beynon, J. H. The use of the mass spectrometer for the identification of organic compounds. Microchim. Acta 44, 437–453 (1956).
Paul, W. Electromagnetic traps for charged and neutral particles. Rev. Mod. Phys. 62, 531–540 (1990).
McDaniel, E. W., Martin, D. W. & Barnes, W. S. Drift tube‐mass spectrometer for studies of low‐energy ion‐molecule reactions. Rev. Sci. Instrum. 33, 2–7 (1962).
Munson, M. S. B. & Field, F. H. Chemical ionization mass spectrometry. I. general introduction. J. Am. Chem. Soc. 88, 2621–2630 (1966).
McLafferty, F. W. & Bryce, T. A. Metastable-ion characteristics: characterization of isomeric molecules. Chem. Commun., 1215–1217 (1967).
Chernushevich, I. V., Merenbloom, S. I., Liu, S. & Bloomfield, N. A W-Geometry ortho-TOF MS with high resolution and up to 100% duty cycle for MS/MS. J. Am. Soc. Mass Spectrom. 28, 2143–2150 (2017).
Weisbrod, C. R. et al. Front-end electron transfer dissociation coupled to a 21 Tesla FT-ICR mass spectrometer for intact protein sequence analysis. J. Am. Soc. Mass Spectrom. 28, 1787–1795 (2017).
Dole, M. et al. Molecular beams of macroions. J. Chem. Phys. 49, 2240–2249 (1968).
Horning, E. C. et al. Atmospheric pressure ionization (API) mass spectrometry. Solvent-mediated ionization of samples introduced in solution and in a liquid chromatograph effluent stream. J. Chromatogr. Sci. 12, 725–729 (1974).
Cooks, R. G., Terwilliger, D. T., Ast, T., Beynon, J. H. & Keough, T. Surface modified mass spectrometry. J. Am. Chem. Soc. 97, 1583–1585 (1975).
Yost, R. A. & Enke, C. G. Selected ion fragmentation with a tandem quadrupole mass spectrometer. J. Am. Chem. Soc. 100, 2274–2275 (1978).
Barber, M., Bordoli, R. S., Sedgwick, R. D. & Tyler, A. N. Fast atom bombardment of solids (F.A.B.): a new ion source for mass spectrometry. J. Chem. Soc., Chem. Commun., 325–327 (1981).
Karas, M., Bachmann, D., Bahr, U. & Hillenkamp, F. Matrix-assisted ultraviolet laser desorption of non-volatile compounds. Int. J. Mass Spectrom. Ion-. Process. 78, 53–68 (1987).
Takáts, Z., Wiseman, J. M., Gologan, B. & Cooks, R. G. Mass spectrometry sampling under ambient conditions with desorption electrospray ionization. Science 306, 471 (2004).
Siuzdak, G. et al. Mass spectrometry and viral analysis. Chem. Biol. 3, 45–48 (1996).
Hendrickson, C. L. et al. 21 Tesla fourier transform ion cyclotron resonance mass spectrometer: a national resource for ultrahigh resolution mass analysis. J. Am. Soc. Mass Spectrom. 26, 1626–1632 (2015).
Ludwig, K., Habbach, S., Krieglstein, J., Klumpp, S. & König, S. MALDI-TOF high mass calibration up to 200 kDa using human recombinant 16 kDa protein histidine phosphatase aggregates. PLoS One 6, e23612 (2011).
Aksenov, A. A. & Bier, M. E. The analysis of polystyrene and polystyrene aggregates into the mega dalton mass range by cryodetection MALDI TOF MS. J. Am. Soc. Mass Spectrom. 19, 219–230 (2008).
Acknowledgements
P.C. thanks Council of Scientific and Industrial Research (CSIR) for her research fellowship. We acknowledge the Department of Science and Technology (DST), Government of India for supporting our research program.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Chakraborty, P., Pradeep, T. The emerging interface of mass spectrometry with materials. NPG Asia Mater 11, 48 (2019). https://doi.org/10.1038/s41427-019-0149-3
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41427-019-0149-3
This article is cited by
-
Gas-phase fragmentation of single heteroatom-incorporated Co5MS8(PEt3)6+ (M = Mn, Fe, Co, Ni) nanoclusters
Communications Chemistry (2022)
-
Electronic structure and charge compensation in AuxAg25-xSR181− (x = 0, 12, 13, 25), AuAg12Au12SR181−, and AgAu12Ag12SR181− clusters
Journal of Nanoparticle Research (2021)