Wide-energy programmable microwave plasma-ionization for high-coverage mass spectrometry analysis

WPMPI-MS instrumentation and performanceIn the WPMPI-MS system, the power of the microwave plasma (0–200 W) can be readily regulated by a ref voltage (Vref). A user-defined function waveform with modifiable frequency and amplitude (frequency ≤10 Hz, amplitude within 0–2.5 V) is delivered to Vref as the input signal from a programmable waveform generator to control the plasma power stepwise or without steps (Fig. 1a). The plasma output, for instance, jumps between 80 and 160 W when a step wave is used with particular parameters, such as its input parameter (amplitude of 1.0 V and bias of 2.0 V, Fig. 1b). The frequency of the input waveform is approximately 10 Hz at the fastest, with a maximum energy change rate of 500 W s−1, which does not significantly affect the stability of plasma operating state. After the unit stabilizes, microwave plasma torch is characterized by a cylindrical torch 3–8 mm thick and 15–35 mm long. The shape of the torch is influenced by the power and the working gas flow rate (Supplementary Fig. 1). The central material of the argon microwave plasma mainly consists of sub-stable argon and high-energy electrons, while the plasma boundary is filled with various reagent gas ions, including (H2O)nH +, NO•+, and O2•+, which are formed by background air ionization18.Fig. 1: Instrumental setup, principal, performance characterization of temperature and characteristic ions.a Diagram showing the full setup from left to right: waveform compilation software, control board, microwave power supply, WPMPI source section, mass spectrometer. b Schema: the programmable waveform input corresponds to changes in microwave power, causing rapid jumps in plasma morphology and energy, and plumes of spray thus collide with different plasma regions. c Histogram of gas-phase temperature at different powers (purple, blue, cyan, green, lime, yellow, orange, and light red stand for 60, 80, 100, 120, 140, 160, 180 and 200 W, respectively) and positions of the plasma. Each value represents the mean ± s.d. (N = 3). d Ionization products of methyl salicylate: comparison of molecular ion peak intensity (blue) and protonation peak intensity (black) variation with microwave power. Each value represents the mean±s.d. (N = 5).Based on the structure, the plasma ionization energy and gas-phase temperature can be quickly adjusted over a wide range, and we initially evaluated the gas temperature at different plasma power supplies and injection positions (Fig. 1c). The measurement sites are divided into plasma root, core, tip, and 5 mm from the tip (see Supplementary Fig. 1b for specific locations), with the power covering from 60 to 200 W. The spatial distribution of temperature exhibits its peak value at the tip of the plasma, whereas temperatures at the root and core regions are comparatively closer. The overall range in temperature variation covers 350–1300 K.When the microwave power gradually increased from 60 W to high energy at 200 W, the “ionization softness and hardness” and ionization products changed significantly. Taking methyl salicylate as a model, the signal intensity of the molecular ion (m/z 152.05) gradually increased with increasing plasma power (60–160 W), while the intensity of the protonated ion (m/z 153.05) gradually decreased (Fig. 1d), higher energies (>160 W) result in more cleavage, leading to an overall decrease in signal intensity. The percentage of molecular ion signal intensity versus protonated ion intensity also gradually increases (Supplementary Fig. 2) as the ionization mechanism partially changes from PA (proton affinity) to IP (ionization potential). To some extent the phenomenon may be related to the reagent gas ion species, as we have noted that the populations of reagent ions shift in relative abundance with shifting power (Supplementary Fig. 3). It is evident that the hydronium ions ((H2O)nH+), which cause proton transfer, decrease significantly with increasing power; while reagent ion species more likely to cause penning ionization that can bring molecular ions, such as oxygen radicals and nitrogen radical ions, increase in abundance. Notably, whether the ions are protonated is influenced by PA and the functional groups of the compound, with discrepancies between specific compound molecules.To investigate the capability of WPMPI to perform rapid scanning ionization, we employed various functional waveforms as inputs to ionize reserpine and divalent lead, which have significantly different physicochemical properties (Fig. 2a). Based on the extracted-ion chromatography (EIC) diagrams, the reserpine peaks alternated with divalent lead, and the EIC of lead exhibited better compatibility with the waveform characteristics when rapid scanning ionization of 100–200 W was conducted using a sawtooth wave (Supplementary Fig. 4a) and a triangular wave (Supplementary Fig. 4b) at 0.2 Hz. The phenomenon is more pronounced when digitized rectangular-wave scanning ionization is used (Fig. 2b–d) because the microwave power jumps from 100 to 200 W without going through a transition interval. The ionization performance of WPMPI was not affected by the increase in scanning rate within a certain range (<1 Hz).Fig. 2: Mass spectra and extracted-ion chromatography (EIC) plots of reserpine and divalent lead when ionized with different scanning waveforms (120–200 W, blue line).a Mass spectra of divalent lead ions (red) and reserpine ions (black) detected simultaneously under rectangular wave scanning. EIC plots for both ions when rectangular wave at (b) 1.0, (c) 0.5, and (d) 0.2 Hz was applied, the red line represents the EIC plot of divalent lead ions, and the black line is the EIC plot of reserpine, the blue dashed line represents the applied rectangular wave timing.Molecular structure and elemental analysis capabilitiesTo demonstrate the analytical advantages of WPMPI in energy-digitized fast scanning ionization mode, we ionized various types of samples using different energy ranges. We first tested a series of biomolecules in the low-energy region (60–100 W), including peptides, glycans, and oligonucleotides. The ionization products of the Gly-His-Lys (Supplementary Fig. 5a) and bradykinin (Supplementary Fig. 5b) were protonated singly charged ions at m/z 341.20 and m/z 1060.60, respectively, and no significant fragmentation ions were observed. Interestingly, dermaseptin could obtain multicharged, protonated ions in WPMPI-MS (Supplementary Fig. 5c, consistent with the ionization products of commercial ESI (Supplementary Fig. 5f)), which may be due to the action of thermal spray (plasma heat the spray plume) and hydronium ions. The product ions of maltose in WPMPI-MS included the common dehydrogenation negative ion at m/z 505.18, as well as the dehydration negative ion at m/z 487.17 (Supplementary Fig. 5d). Notably, the lower signal response of the glycans in WPMPI-MS may results from dehydration or oxidation of the hydroxyl groups in the plasma atmosphere. Adenylcytosine cytosine dinucleotide (ApC) was similarly measured in negative mode, showing the dehydrated negative ion at m/z 571.13 (Supplementary Fig. 5e). In addition, maintaining the WPMPI at a low power (60 W) enabled the analysis of some thermally unstable compounds and easily oxidizes compounds. Artemisinin is an important drug for the treatment of malaria, which is thermally unstable because of its dioxygen structure. We employed WPMPI-MS with 60 W energy to analyze the artemisinin solution, abundant protonated molecular ions were observed (40%), indicating that the structure of artemisinin was preserved to a certain extent (Supplementary Fig. 6a). The easily oxidizable compound N-isopropyl-N′-phenyl-1,4-phenylenediamine (IPPD) was ionized using WPMIP at 100 W, resulting in an abundance of the oxidized products of only 9% and 4%, and the main ionization product was the protonated molecular ion (Supplementary Fig. 6b). Ascorbic acid (vitamin C) was also analyzed using WPMPI at 60 W, and surprisingly no significant oxidation products were observed (Supplementary Fig. 6c), with the highest abundance of ionization products being deprotonated ions.Setting WPMPI-MS with an energy scanning interval of 140–180 W, the sample plume output from the nebulizer passes completely through the high-energy microwave plasma torch, enabling hard ionization akin to electron impact. Polycyclic aromatic hydrocarbons (PAHs) are common persistent organic pollutants (POPs) that cannot be ionized by ESI. When using EI sources, the ionization products of PAHs are radical ion species formation, [M]·+, while using commercial APCI sources exhibit a high abundance of protonation31, [M + H]+. Four representative PAHs (anthracene, pyrene, chrysene, and benzo(a)pyrene) were analyzed by WPMPI-MS, and the product ions were high abundance of radical molecular ions [M]·+ (Supplementary Fig. 7). The response spectrogram in WPMPI-MS is consistent with the EI mass spectra of the compounds in the NIST (National Institute of Standards and Technology) research library. Besides PAHs, WPMPI-MS above 140 W can readily ionize low/non-polar compounds that are undetectable by ESI, such as methyl phenyl sulfide and ferrocene (Supplementary Fig. 8). In addition, we observed cleavages and rearrangements in WPMPI-MS that commonly occur in EI sources. For example, anthraquinone lost small molecules (one or two CO, m/z 181.06 and m/z 153.07) under WPMPI, which is also a common elimination reaction in EI mass spectra (Supplementary Fig. 9a). McLafferty rearrangement was also observed in WPMPI at atmospheric pressure. During this process, ethyl acetate underwent McLafferty rearrangement to eliminate ethylene, resulting in a high abundance of the product ion m/z 61.03 (Supplementary Fig. 9b). 2-pentanone and 4-phenylbutylamine were used to conduct rearrangement reactions in WPMPI to eliminate the effect of direct cleavage (Supplementary Figs. 10, 11). The rearrangement product of 4-phenylbutylamine (an aromatic compound) was the benzyl cation with radicals at m/z 91.05, while pentanone showed a rearrangement product (m/z 59.05) similar to ethyl acetate (Supplementary Fig. 12). The results may have potential implications for studies on gas-phase ion reactions and plasma organic synthesis at atmospheric pressure.Several studies confirmed that microwave plasma-based ionization technology has the same elemental analysis capability as ICP30. While in WPMPI-MS, the advantage of simultaneous detection of organometallic compounds and metal elements in real time can be achieved by scanning the plasma power. Tributyltin hydride was ionized using a gradient power scan of WPMPI-MS, and its ionization products at 140 W included the molecular ions of reduced hydrogen at m/z 291.11, the desorbed metal elements at m/z 120.91, and the ions of debutylated at m/z 178.99 and m/z 235.05 (Fig. 3a). The composition of ionic compounds can be clearly characterized by high-resolution mass spectrometry and isotope peaks (Supplementary Fig. 13). Isotope mass spectra with matched abundances were also observed using a 200 W WPMPI to directly analyze a solution of 10 ppm lead chloride (Supplementary Fig. 14). The modulation of microwave plasma power can effectively regulate the ionization pattern, as the real-time variation of the product ions was observed during the scanning of triphenyltin chloride (Fig. 3b). Highly abundant chlorotriphenyltin dehydrogenated molecular ions m/z 351.02 were observed at 80 W power, without the relevant peaks of desorbed tin. With increasing scanning power, the elemental and molecular peaks exhibited close relative abundance at 140 W ([SnNOH]+ m/z 150.92, [SnOH]+ m/z 136.91), and as the power reached 200 W, the molecular ions of compound dehydrogenation completely disappeared. Additionally, the ionized product of desorbed tin elements (m/z 150.92, m/z 136.91, m/z 120.91) exhibited higher relative abundance. In addition, WPMPI demonstrated reliable sensitivity for the detection of inorganic heavy metals (Supplementary Fig. 15, in water: methanol (1:1)), but is slightly inferior to ICP-MS. The result may provide further opportunities for the speciation of organometallic and inorganic metal element in environmental pollution. Furthermore, WPMPI-MS can desorb individual halogen elements in negative ion mode, and a clear isotopic peak of bromine monomers (from dissociated hexabromobenzene) was observed (Supplementary Fig. 16).Fig. 3: WPMPI-MS provides metal-element analysis capability and biomolecular in-source cleavage capability.a Mass spectrum of tributyltin hydride in WPMPI-MS at 140 W. b Mass spectra of chlorotriphenyltin at different powers during fast energy scanning in WPMPI-MS (orange rod: mother ion; green, blue, red rods: daughter ions). c In-source dissociation spectrogram of ApC. d In-source dissociation spectrogram of Gly-His-Lys.Based on this fast and wide energy-range scanning ionization mode, WPMPI-MS enables controlled in-source dissociation to help reveal compound structures, which is demonstrated using methyl salicylate as a model compound. The results showed that the fragment ions of methyl salicylate changed in species and abundance with increasing scanning power from 80 to 200 W (Supplementary Fig. 17). Among the fragment ions, the even-electron ions (m/z 121.03, m/z 153.05) are identical to their ESI-CID spectrums, and the three odd-electron ions m/z 92.03, m/z 120.03, and m/z 152.05 are consistent with the EI spectrum (Supplementary Fig. 18), which is consistent with the fragmentation pattern of arc plasma-based dissociation (APD)26. We speculate that the ionization mechanism gradually shifts from “ESI-like” to “EI-like” with increasing power, leading to the transfer of dissociated fragments. Scanning microwave power has a significant effect on the abundance of fragments in WPMPI-MS, peak at m/z 313.16 is the protonated ion of the dipeptide (Phe-Phe), and the percentage of fragment ion at m/z 120.08 rose with increasing microwave power, while the abundance of two fragment ions, m/z 166.09 and m/z 203.12, first increased and then decreased (Supplementary Fig. 19, the speculation of fragment ions in Supplementary Fig. 20).Since ribonucleic acids and peptide chains are essential life-supporting components, mass spectrometry fragmentation is a key technique for elucidating their structure and sequencing. We demonstrate the utility of WPMPI-MS for biomolecule structure inference using examples of Gly-His-Lys and ApC. ApC was observed to cleave at multiple sites in WPMPI-MS, yielding more information on the fragment ions obtained (Fig. 3c). In addition to the dissociation of some conventional sites (m/z 328.05), the fragmentation pattern of WPMPI-MS generated a certain abundance of ions stripped of bases (m/z 460.09, m/z 436.08, m/z 134.05), which may facilitate sequence identification. The dissociation pattern of Gly-His-Lys under this method differs from that of CID, but fragmentation is abundant, and the ionic structure can be simply deduced (Fig. 3d, m/z 284.17, m/z 195.09, and m/z 167.09 for the dissociation of amide bond CO-NH). The results illustrate that the method can be used for controlled in-source cleavage of ambient fingerprint mass spectra.In addition, the reproducibility of the signal or fragmentation patterns of WPMPI-MS was investigated by selecting two compounds and testing their fragmentation ratios at four different power steps. The recordings were taken weekly for a cumulative total of 28 days, and the day-to-day relative standard deviation (RSD) was calculated. WPMPI demonstrated good reproducibility for different power steps and analytes (Supplementary Fig. 21). The vertical coordinate represents the fragment ion to parent ion intensity ratio, and the day-to-day RSD of the four fragment ion ratios ranged from 5.2% to 13.5%.Application scenariosTo demonstrate the ability of the technique to rapidly analyze trace samples, we tested nine toxicological standards added to a drop of serum. The samples included pesticides (anilofos), PAHs (anthracene, benzo[a]pyrene), inorganic heavy metals (divalent lead), metal organics (chlorotriphenyltin), and psychotropic and conventional drugs (sulpiride, midecamycin, prochlorperazine, reserpine). After the samples underwent simple deproteinization, the nine compounds with widely differing physicochemical properties could be ionized directly using a 100–200 W stepped-wave scanning mode (Fig. 4a). During this scanning process, the analytes could respectively meet their optimal energy position; therefore, each compound has the highest signal response at one energy step during scanning (Fig. 4b). Utilizing digitized step-waves scanning of the plasma power ensures that the signal responses of different compounds can reach the highest sensitivity under the WPMPI-MS system. In practice, the energy-scanning range can also be adjusted according to sample characteristics. To demonstrate the analytical power of WPMPI-MS, we used digital scanning ionization to directly quantify these nine analytes in serum, which showed a good R2 (0.9355–0.9996) over a linear range of 10–5000 μg L−1 (Supplementary Fig. 22). The limit of detection (LOD) and limit of quantification (LOQ) ranges were 0.88–14.49 μg L−1 and 2.94–48.31 μg L−1 (Supplementary Table 1), respectively. In addition, since the scanning time of WPMPI-MS is in the range of 0.5–5 s, the device can be quickly coupled with liquid chromatography to ensure that the compounds within a liquid-phase peak are highly ionized. Within a substance peak retention time, the method can complete multiple energy scanning processes, generating dense small peaks in the EIC diagram (Fig. 4c). By fitting the highest point of each peak and calculating the area, quantitative analysis is possible.Fig. 4: Analysis of the toxicological samples in serum.a Superimposed mass spectra after energy scanning ionization (red spectrum: 200 W, green spectrum: 150 W, blue spectrum: 130 W, black spectrum: 120 W,) of spiked serum (including benzo[a]pyrene, anthracene, anilofos, sulpiride, midecamycin, prochlorperazine, chlorotriphenyltin, reserpine and divalent lead). b Different analytes (benzo[a]pyrene (black), anthracene (red), anilofos (blue), sulpiride (green), midecamycin (purple), reserpine (cyan) and divalent lead (yellow)) reach the maximum signal response at different energy step positions. c EIC diagram (green: m/z 342.15, gray: m/z 351.02, orange: m/z 404.16, purple: m/z 368.03, blue: m/z 252.09, red: m/z 178.08, black: m/z 814.46) of serum samples analyzed by LC-WPMPI-MS. The method can complete multiple energy scans in a single liquid chromatography peak, and the inset picture (d) is a magnified anilofos EIC plot near 1.6–3.0 min.To highlight the concept of digitization and to validate the ionization benefits of WPMPI fast scanning waveforms, we analyzed spiked soil samples using WPMPI stepped waves. Three perfluoroalkyl compounds (perfluorobutane sulfonic acid (PFBS), potassium perfluoro-1-octanesulfonate (PFOS-K), pentadecafluorooctanoic acid (PFOA)) and cadmium stearate were added to the soil extraction solution to formulate a mixture of 1 mg L−1. The samples were analyzed by WPMPI using a stepped wave of 80–200 W (<30 s). Four samples were measured at different power steps: PFOA, which is prone to cleavage, showed the highest signal intensity at 80 W and could not be seen above 120 W; PFOS-K and PFBS are similar in chemical properties and more stable, had an optimal ionization power of 160 W; and cadmium metal, which needed to raise the power to 200 W before a clear isotopic signal could be observed (Fig. 5).Fig. 5: Detection of spiked soil extracts using WPMPI stepped wave power scan mode.a WPMPI mass spectra of PFBS and PFOS-K at the step of 160 W (purple). b WPMPI mass spectra of PFOA at the step of 80 W (blue). c WPMPI mass spectra of cadmium at the step of 200 W (red).To enhance the evidence regarding the certain anti-matrix interference capability of WPMPI, we conducted WPMPI-MS analysis of principal components in Yunnan Baiyao powder under 100–140 W conditions. A small amount of powder samples was immersed into a quartz capillary and placed directly on the plasma tip, resulting in stable and persistent mass spectra signals within the mass range of m/z 300–700 (Supplementary Fig. 23). Fourteen highly abundant ion signals were screened out and preliminary identified as representative diterpenoids in aconitum by high-resolution mass spectrometry (Supplementary Table 2). In addition, we performed non-targeted analysis of the landfill leachate by LC-WPMPI-MS in stepped-wave energy scanning mode (100–200 W), and MS data acquisition in full scan with data-dependent acquisition (FS-DDA) mode. More than hundreds of ions were detected, and 56 ions were initially categorized (Supplementary Table 3), including metal elements, low/non-polar VOCs, metabolites, food additives, natural products, pharmaceuticals, and industrial chemicals, demonstrating the ability of the WPMPI-MS in conducting non-targeted analysis of actual samples.

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