Optimizing the sensitivity and resolution of hyaluronan analysis with solid-state nanopores

ABSTRACT Hyaluronan (HA) is an essential carbohydrate in vertebrates that is a potentially robust bioindicator due to its critical roles in diverse physiological functions in health and

disease. The intricate size-dependent function that exists for HA and its low abundance in most biological fluids have highlighted the need for sensitive technologies to provide accurate and

quantitative assessments of polysaccharide molecular weight and concentration. We have demonstrated that solid state (SS-) nanopore technology can be exploited for this purpose, given its

molecular sensitivity and analytical capacity, but there remains a need to further understand the impacts of experimental variables on the SS-nanopore signal for optimal interpretation of

results. Here, we use model quasi-monodisperse HA polymers to determine the dependence of HA signal characteristics on a range of SS-nanopore measurement conditions, including applied

voltage, pore diameter, and ionic buffer asymmetry. Our results identify important factors for improving the signal-to-noise ratio, resolution, and sensitivity of HA analysis with

SS-nanopores. SIMILAR CONTENT BEING VIEWED BY OTHERS COMPREHENSIVE STRUCTURAL ASSIGNMENT OF GLYCOSAMINOGLYCAN OLIGO- AND POLYSACCHARIDES BY PROTEIN NANOPORE Article Open access 30 August

2022 A QUARTZ CRYSTAL MICROBALANCE METHOD TO QUANTIFY THE SIZE OF HYALURONAN AND OTHER GLYCOSAMINOGLYCANS ON SURFACES Article Open access 29 June 2022 HIGH-THROUGHPUT GLYCOSAMINOGLYCAN

EXTRACTION AND UHPLC-MS/MS QUANTIFICATION IN HUMAN BIOFLUIDS Article 14 November 2024 INTRODUCTION Glycosaminoglycans (GAGs) are important macromolecules found ubiquitously in mammalian

tissues and biofluids where they support diverse biomechanical and biochemical processes1,2. Hyaluronan (hyaluronic acid, or HA), is a linear anionic glycan, that has been identified as a

promising biomarker for a variety of disease pathophysiologies and inflammatory processes. This importance stems from its involvement in functions ranging from innate immunity regulation3,

to extracellular matrix structural support1, to lubrication and hydration of joints and tissues2,4,5,6. A critical aspect of HA is its size-dependent behavior7, wherein its biological

function is strongly correlated to molecular weight (MW). For example, ‘high’ MW (greater than a few hundred kDa) HA has been shown to exert anti-inflammatory2,7,8, anti-angiogenic2,7,8, and

anti-migratory2,7,8,9 behaviors, conversely ‘low’ MW (typically < 100 kDa) HA has been found to stimulate the expression of pro-inflammatory signals2,7, induce angiogenesis2,7, and

promote cancer progression and invasion10. However, the exact transition(s) of the ‘high’ to ‘low’ MW size range as it pertains to biological function is still an active and sometimes

contentious area of inquiry. Coupled with the implications of in vivo HA concentration over time for a variety of disease-specific conditions6,11, these attributes highlight the importance

of analytical technologies to provide accurate and quantitative assessments of both HA MW and concentration, particularly from small mass/volume or limited biospecimens1,2. Established

biochemical approaches like enzyme-linked immunosorbent assays (ELISA) can provide sensitive quantitation of HA concentration, but cannot inform the size (i.e_._ MW) distributions of HA.

Other methods such as size exclusion chromatography (SEC)12 and mass spectrometry13,14 can provide MW discrimination but are prone to practical challenges that include limited dynamic

range13,14 and dependency on complex instrumentation with extensive sample pre-treatment before testing. Consequently, gel electrophoresis has been adopted as a standard approach for

determining HA size15,16,17. However, while quantitatively robust15,16,17, a major limitation of gel electrophoresis is its large mass requirement; typically, ~ 2–4 μg of HA is needed per

lane for visualization and even then MW subpopulations can be challenging to distinguish and compare. In response to these limitations, our laboratory recently proposed solid-state (SS-)

nanopore technology as an alternative strategy for the quantitative analysis of HA18. The SS-nanopore platform consists of a nanometer-scale opening in a thin-film membrane that divides two

solvent compartments filled with electrolyte solution (Fig. 1a). The application of a voltage across the membrane sets up an electric field that allows the steady passage of ions through the

pore and generates a stable current. As individual HA molecules are drawn electrophoretically through the same opening, the polymers produce temporary resistive pulses (or “events”) in the

signal as the ions are blocked (Fig. 1a, inset), the properties of which can provide direct biophysical information about the transiting molecules. This approach is motivated by past work

employing biological nanopores for this purpose19 and is closely related to other recent reports of SS-nanopores being utilized to probe GAGs like chondroitin sulfate and heparin20,21.

Various event characteristics (amplitude, duration, and others) have been employed to study aspects of DNA22, RNA23, and proteins24,25,26, but the two factors that have been shown to be the

most informative for HA analysis in particular are integrated event amplitude (Fig. 1a, inset; also known as event charge deficit27, or ECD) and event frequency, which correspond to the MW

and concentration of the analyte, respectively18. However, the accuracy of determining these values depends critically on understanding the impacts of experimental parameters. For example,

the temporal resolution of the instrument28,29 creates an intrinsic limitation for detecting smaller HA chains because of their brief residence time in the sensing region of the nanopore.

Likewise, probing low analyte concentrations can necessitate long measurement times and/or create the need for a low noise floor that may be difficult to achieve. A range of modifications to

conventional SS-nanopore detection have been demonstrated to improve signal-to-noise ratio (SNR), reduce translocation speed, or increase capture rate. These factors have included

optimization of nanopore dimensions23,30 and material31,32 as well as alteration of buffer conditions33,34,35. However, any exploration of such experimental variations has so far been

performed for nucleic acids and proteins but not GAGs. In this work, we present a systematic investigation of the effects of experimental conditions on HA analysis with SS-nanopores. Using a

series of synthetic HA polymers each having a known, narrow size distribution (quasi-monodisperse), we investigate the effects of salt concentration, applied voltage, and nanopore diameter

on critical translocation event properties. We then employ salt gradients across the SS-nanopore membrane to explore the impact of asymmetric ionic conditions on measurement sensitivity. Our

results map out the consequences of varying measurement conditions, ultimately improving our understanding of the SS-nanopore measurement approach and enhancing its efficacy for

quantitative and sensitive HA analysis. RESULTS AND DISCUSSION The ability to improve sensitivity and optimize MW resolution is essential for HA analysis with SS-nanopores. Past studies35 on

DNA have shown that modifying solvent ionic strength can alter capture rates and improve SNR. Salt concentration has also been varied to differentiate GAGs from synthetic mixtures36.

Consequently, we first focused on electrolyte concentration as a solvent condition that can be readily adjusted in our existing system. As in our previous work18, we employed LiCl as the

electrolyte because of its extraordinary solubility in water and the small size of the Li+ cation that enables efficient screening of charged molecules35. These characteristics reduce the

net charge of translocating molecules, lowering the driving force at a given applied voltage and reducing the translocation velocity (i.e. increased dwell time), both of which are favorable

for resolution. To probe the effects of salt concentration, we conducted a series of translocation experiments using SS-nanopores with diameters ranging from 7 to 9 nm. All measurements were

performed using quasi-monodisperse HA with a mean MW of 237 kDa (~ 1190 monosaccharide units; concentration of 2.5 ng/μL) and 200 mV applied voltage for consistency with previous work18. We

varied the LiCl concentration of the measurement buffer from 2–8 M (below 2 M, low SNR prevented efficient detection of translocations) and observed changes in several event properties

(Supplementary Fig. S1). First, mean ECD increased exponentially with salt concentration (Fig. 1b). Separating this metric into its constituents, we found that event amplitude varied

linearly with LiCl content, changing ~ 3-fold from 2 to 8 M (Fig. 1c), while event duration depended exponentially on concentration, increasing by nearly an order of magnitude over the same

range (Fig. 1d). These findings were concomitant with the effects of salt concentration established from previous reports on DNA35: higher salt concentrations provide more ions to contribute

to the measured ionic current and a proportionally greater blockage by the translocation of a molecule and also provide better screening of the negatively charged analytes and SS-nanopore

walls, altering the electrophoretic driving force and thus the event duration. While the increase in event duration for HA is in qualitative agreement with the measurements of Kowalczyk et

al. on DNA, that earlier report found a linear dependence on LiCl concentration35, contrasting the exponential response observed here. This may suggest additional factors at play,

potentially including electroosmotic effects as well as the reduced radius of gyration of the HA that is driven both by its low persistence length37,38 (about an order of magnitude smaller

than that of double-strand DNA39) and the high molecular compaction of the polymer chain under elevated charge screening due to low self-avoidance (HA charge density is approximately 1/6

that of double-stranded DNA40). These elements could result in a different translocation regime altogether and future studies may be able to elucidate this further. However, we also note

that our measurements were performed over a different range of LiCl (i.e. 2–8 M) than was used for DNA (i.e. 0.5–4 M), potentially revealing more details of the translocation dynamics than

were observed in the past report. The improvements in resolution observed with increasing LiCl concentration suggested that HA analysis should be performed under the highest ionic strength

achievable. Yet, in addition to these changes in event characteristics, we also measured a strong reduction in event rate at higher electrolyte concentration (Fig. 1e,f). This observation

could be explained by the same charge screening described above: a reduction of the effective HA charge would be expected to impact electrophoretic driving force and thus lower capture

efficiency at a given bias. We note that the lower event rates measured for 2 and 3 M LiCl was likely attributable to reduced SNR causing some events to be missed entirely. Indeed, no

significant events were observed for 237 kDa HA when using LiCl at concentrations lower than 2 M (or with 1 M concentrations of either KCl or NaCl for the same reason). Because the need for

improving MW resolution (i.e. high SNR) must be balanced with the need for sensitivity (i.e. detection of low concentration of analyte), we elected to employ the moderately high salt

concentration of 6 M LiCl for further measurements unless otherwise noted, as it still provided a balance of reasonable event rate with overall favorable translocation event properties.

Since the voltage applied across a SS-nanopore has a fundamental impact on translocation characteristics, we next sought to investigate these changes by performing a series of measurements

under varying biases. Initial assessments were performed using quasi-monodisperse HAs with mean MW of 81, 130, 237 and 545 kDa, respectively, across a broad voltage range of 200–1000 mV. All

measurements for this data set were collected using a single 7.5 nm diameter pore for consistency. In previous work18, we showed that quasi-monodisperse HA polymers produced events with a

narrow population of ECDs corresponding to their mean MW, producing distributions similar in form to an electropherogram. Our voltage-dependent analyses here confirmed this distinction but

further showed a remarkably consistent mean ECD value for each MW across the voltage range tested (Fig. 2a). Note that while this particular nanopore device failed before completing the full

voltage range for 81 kDa (Fig. 2a, black), the data obtained up to 700 mV showed similar consistency as other MWs. This invariance suggested that any increase in event amplitude (i.e. SNR)

at higher voltages was compensated by the reduced translocation time (Supplementary Fig. S2). However, the results did not immediately suggest a clear advantage for any particular voltage

condition. For example, the separation between the two lowest MWs studied here (81 and 130 kDa) was equally narrow under all conditions. Figure 2b shows the enhancement of mean event rates

(relative to 200 mV) when HA concentration was held constant for each independent MW. From these data, we found an increase in average molecular capture rate for higher applied voltages,

similar to past reports using other molecular targets41,42. As with our previous work18, the consistent linear relationships indicated a diffusion-limited translocation regime34 and

highlighted the absence of a MW preference for HA capture43; a critical observation that substantiated the capacity of the SS-nanopore platform to deliver an accurate size distribution for

polydisperse mixtures. We note that neither of the above findings were strongly impacted by operating bandwidth (Supplementary Figs. S3 and S4) except that reduced total event rates were

observed for small MW HAs, reflecting the loss of signal that accompanied an increased low-pass filter frequency (_f__c_). Consequently, while the invariance of mean ECD did not identify a

preferable voltage for HA analysis, the observed relative capture rate enhancement suggested improved sensitivity (i.e. the ability to evaluate a smaller net amount of HA) at higher bias. In

addition, measured SNR was also found to improve with voltage (Fig. 2c) for all samples but particularly for HMW HA, further supporting a benefit to high-voltage measurements. However,

these advantages must be balanced against the potential drawback of increased device fouling and clogging, which were observed to be more frequent at higher voltages. While typically

reversible, such occurrences may limit nanopore lifetime and ultimately reduce measurement efficacy and throughput. To avoid this complication, we chose to employ low voltage conditions (200

 mV) for all further measurements here. Like voltage, SS-nanopore diameter is known to have a strong influence on the translocation event characteristics. For example, extremely small (< 

5 nm) nanopores have been studied as a means for high-precision nucleic acid detection44, including showing efficacy for differentiating homopolymers45. To this end, we sought to study the

effects of varying pore diameter on HA detection. A series of translocation measurements using SS-nanopores ranging in size from 4.5 to 19.0 nm were performed. Diameters were determined

using the open pore conductance, _G__o_, derived from an current–voltage (I–V) curve of each pore and the expression23. $$G_{o} = \sigma \left[ {\frac{4L}{{\pi d_{p}^{2} }} + \frac{1}{{d_{p}

}}} \right]^{ - 1} ,$$ (1) where σ is bulk conductivity of the solution, _L_ is the effective length of the pore, and _d__p_ is the diameter. For the 6 M LiCl conditions employed, 19.4 S 

m−1 was used46 for σ. _L_ was taken as 6.7 nm, following the convention23 of using 1/3 of the full membrane thickness (20 nm). We initially probed 130 kDa quasi-monodisperse HA (15 ng/µL).

From these measurements (Supplementary Fig. S5), we first found that the amplitude _ΔG_ of translocation events decreased with pore diameter (Fig. 3a), in qualitative agreement with past

experiments using both colloids47 and DNA48. To describe this reduction, a well-established series resistance model47,48,49,50,51 could be applied by calling _ΔG_ the difference between the

open pore conductance, _G__o_, and the conductance of the partially blocked pore, _G__b_. Because the diameter of the blocked pore is defined as (_d__p_2_ − d__HA_2)1/2, where _d__HA_ is the

hydrodynamic diameter of the HA molecule, the full expression relating _ΔG_ to nanopore diameter could be written as $${\Delta }G = \sigma \left( {\left[ {\frac{4L}{{\pi d_{p}^{2} }} +

\frac{1}{{d_{p} }}} \right]^{ - 1} - \left[ {\frac{4L}{{\pi \left( {d_{p}^{2} - d_{HA}^{2} } \right)}} + \frac{1}{{\sqrt {d_{p}^{2} - d_{HA}^{2} } }}} \right]^{ - 1} } \right).$$ (2) Fitting

this expression with _d__HA_ as the only free parameter resulted in a curve that reasonably captured the trend of our data (Fig. 3a, red line). While differences may be accounted for by the

non-cylindrical shapes of the pores48, a slight difference in their effective length _L_ compared to the assumed value, or the folded conformations of translocating molecules themselves,

the fit yielded a value for _d__HA_ of 1.12 ± 0.01 nm, very close to the average diameter measured from the NMR structure of HA52,53 (0.8 nm). Similarly, we found that event durations for

the 130 kDa HA also decreased with diameter (Fig. 3b). This result was somewhat counterintuitive if only electrical forces were considered; since driving force (i.e. the sum of

electrophoretic and electroosmotic forces) is known to reduce with pore diameter54, one might expect an increase in transit time with pore size. However, the downward trend could be

understood by considering frictional drag between the HA and the SS-nanopore55, described by _A_(_d__HA_/(_d__p__ − d__HA_)) where _A_ is a scaling factor that captures the friction

coefficient of the interaction and the velocity of the translocating molecule. Setting _d__HA_ from above (1.12 nm) and varying _A_ as a free parameter, we arrive at a fit that describes the

shape of the raw data well (Fig. 3b, red line). The slight divergence at higher diameters may be due to the first order approximation that average translocation speed does not vary with

_d__p_ since there is experimental evidence of non-ideal translocations as pore size increases56. We finally turned to ECD, which as a metric is the product of event amplitude and duration.

Predictably from the trends of each constituent factor, the mean ECD value was also found to shift towards lower values as SS-nanopore diameter was increased (Fig. 3c). Combining the

expressions used above and employing the same values for their respective fit parameters, we find excellent agreement with the analytical data (Fig. 3c, red line). Practically, this finding

did not suggest a significant benefit to any particular SS-nanopore diameter, but instead simply highlighted the importance of taking pore diameter into account. However, coupling the

observed ECD trend with changes in the electrical noise of the baseline signal demonstrated that increasing pore diameter was also accompanied by concomitant decrease in measurement SNR

(Supplementary Fig. S6a), suggesting that smaller diameter SS-nanopores may be preferable. A critical aspect of HA analysis with SS-nanopores is the determination of the MW distribution via

a calibration curve relating mean ECD to MW for different quasi-monodisperse HA specimens18. Therefore, it is important to consider the effect of nanopore diameter across a range of MWs

rather than a single HA size only. Consequently, we expanded our next measurements to assess the impact of nanopore diameter on the established18 power law relationship between HA MW and

ECD. For this assessment, we obtained ECD distributions from quasi-monodisperse HAs ranging in size from 54 kDa to 2.5 MDa using SS-nanopores with diameters of 4–20 nm (Supplementary Fig.

S7a) and plotted their mean values with errors denoting standard deviation (Fig. 4). Several observations arose from these data. First, the same power law relationship was maintained across

all pore diameters (Supplementary Fig. S7b), yielding an average exponent _α_ of 2.02 ± 0.16 (Supplementary Fig. S7b, inset). Indeed, plotting the ECD against nanopore diameter for discrete

HA MWs produced nearly identical dependencies (Supplementary Fig. S8). As a result, calibrations can be inferred for all intermediate diameters, enabling better precision in MW

determination. Second, ECD error (i.e. the standard deviation of ECD distribution) for a given MW increased with nanopore diameter. We note that distribution widths were influenced by both

the electrical noise of the measurement and the actual polydispersity of the HA (see “Materials and methods”), the latter of which was constant for each MW. Consequently, the increasing

standard deviations with pore size were indicative of a negative impact on intrinsic measurement accuracy. Third, the MW resolution was adversely affected by an increase in nanopore

diameter. A distinct departure from the power law trend was observed at lower MW HA, most easily seen by contrasting the data obtained with a 19.3 nm diameter pore—where MW ≤ 130 kDa yielded

unchanging ECD values (Fig. 4, right)—with measurements on a 4.9 nm pore, which showed a consistent trend down to 54 kDa (the smallest MW studied here, Fig. 4, left). Considering all of

these factors, these data again suggested an advantage for smaller diameter SS-nanopores. However, it is important to acknowledge that small nanopores also tended to result in more

observable device fouling and clogging, which were nearly absent for larger nanopore diameters. This trade-off indicated that utilizing SS-nanopores of intermediate diameter (~ 7 nm) would

be ideal in practice, as was done in our previous research18. Having established the impacts of device dimensions on HA detection, we finally revisit the effects of solvent conditions by

investigating salt asymmetry. It has been shown previously that the use of a salt gradient—specifically a higher salt concentration on the _trans-_side of the SS-nanopore membrane than on

the _cis-_side (Fig. 5a)—can have significant impacts on translocation dynamics34, including increasing the capture rate57. This effect has been attributed to imbalanced ion pumping under

bias that results in the accumulation of positive charges around the pore entrance on the _cis_-side, effectively extending the electric field farther into solution and promoting higher

capture efficiency34. Because enhancing the event rate will enable greater sensitivity (i.e. robust analysis from a smaller total mass of HA), we performed a set of measurements under

asymmetric transmembrane salt conditions. SS-nanopore translocations were carried out using 237 kDa quasi-monodisperse HA while maintaining _trans_-side buffer conditions at 6 M LiCl and

varying _cis_-side LiCl concentration from 1 to 6 M. From these experiments, we observed an exponential decrease in ECD as the _trans_:_cis_ ratio was increased (i.e. as _cis_-concentration

was reduced; Fig. 5b). Considering the constituents of these data, we found that the observed effect was dominated by an exponential decrease in dwell time (Fig. 5c; note the semi-log axes)

while event conductance change reduced only modestly (Fig. 5d). This result was in sharp contrast to a previous SS-nanopore study34 using DNA that reported event durations in fact increase

with an approximately linear trend as _trans_:_cis_ asymmetry is increased. It has been explained34 that a higher _trans-_chamber salt concentration will create cation selectivity under the

influence of a driving potential. As the positively charged ions are driven through the nanopore, they build up at the _cis-_opening and induce polarization. This perturbation of the

electric field creates an asymmetric extension of the voltage drop far into the solution on the _cis-_side of the membrane, effectively reducing the potential profile through the pore itself

and thus yielding slower translocation durations. A key factor in our work was the use of LiCl as the electrolyte. The small size of the Li+ cation promotes efficient screening of charged

molecules that is enhanced by its extraordinary solubility in water, enabling high concentrations to be utilized. As described above in our investigation of symmetric salt conditions (and

elsewhere35), this reduces the net charge of translocating molecules, resulting in a lower driving force and lower translocation velocity (i.e. increased event duration). Consequently, there

were two competing effects as _trans_-side LiCl concentration was maintained at 6 M and _cis_-side concentration was reduced: (1) potential profile manipulation caused by increasing

asymmetry, serving to curtail the voltage drop across the pore and thus increase event durations; and (2) reduced charge screening driven by the decreasing (effective) ionic strength at the

pore, serving to enhance driving force and decrease event duration. Critically, the former scales linearly with _cis-_concentration34 while the latter varies exponentially (c.f_._ Fig. 1d).

As a result, our data showing that event duration decreased strongly with asymmetry suggested that the charge screening effect was dominant in our compared than the potential profile

alteration. To test this premise, we performed additional measurements wherein the _cis-_side LiCl concentration was kept at 4 M to maintain constant charge screening while the _trans-_side

concentration was increased from 4 to 8 M to achieve salt asymmetry. Under these conditions, we instead observed a linear increase in mean ECD (Supplementary Fig. S9a, top panel); an effect

that was comprised of similar increases in both dwell time and amplitude (Supplementary Fig. S9a, middle and lower panels). Consequently, when differences in screening on the _cis-_side were

negated, our results were in agreement with expectations from the cationic selectivity effect alone and thus past reports34. Notably, we observed a significant rate enhancement effect for

all data relative to _C__trans_:_C__cis_ ratio, well-described by logarithmic trends (Fig. 5e and Supplementary Fig. S9b). While Wanunu et al_._ reported34 a linear relationship between rate

enhancement and salt asymmetry, it was only observed for ratios above approximately _C__trans_:_C__cis_ = 1.5. It is likely that a similar trend would emerge from our measurements, but we

were more limited in the range of attainable asymmetry because _cis-_side LiCl concentrations < 1 M yielded no detectable events under our conditions and _trans-_side LiCl concentrations 

> 8 M resulted in current instabilities that made measurements challenging. Moreover, our results indicated that the benefit in enhanced event rate achieved through asymmetric salt

concentrations should be balanced against the cost in resolution resulting from reduced ECD relative to high molarity symmetric conditions. Event properties for all asymmetric measurement

conditions are shown in Supplementary Fig. S10. CONCLUSIONS HA is an emerging biomarker for diverse disease pathologies that features critical size-dependent biological functions and in vivo

activity that is tied to its concentration7. Therefore, it is critical to demonstrate high-quality, reliable, and reproducible analysis of HA size distribution and abundance. Towards this

goal, we have presented a thorough study of how diverse experimental conditions affect the sensitivity and resolution of HA analysis with SS-nanopores using synthetic quasi-monodisperse HA.

First, we investigated the impact of ionic strength. We observed that increasing LiCl concentration of the measurement buffer resulted in an improvement in ECD signal (i.e_._ resolution)

that was accompanied by a reduction in event rate (i.e. sensitivity). This trade off suggested that intermediate concentrations (~ 6 M) were optimal for HA analysis. Varying applied bias, we

found that ECD values did not change significantly across a broad range of 200–1000 mV even while event rates increased predictably with voltage. However, this was accompanied by a decrease

in measurement precision for both values, meaning that the relative importance of sensitivity and accuracy to a measurement should be considered. We next considered how SS-nanopore diameter

affected translocation signal characteristics, determining that measurement resolution was improved with small pores. When balanced with the increased observable prevalence of fouling at

low diameter, we concluded that moderately small (~ 7 nm) pores should be targeted. Additionally, the predictable variation of the calibration relationship between ECD and MW across

conditions also circumvented issues related to natural pore-to-pore variability. Finally, we explored the impacts of asymmetric transmembrane salt conditions. Through these data, we

demonstrated that capture rates could be improved significantly (i.e. increased sensitivity), but at the cost of ECD and thus resolution. Collectively, our results can be used to tailor

measurement conditions for a given application. For example, when probing synthetic HA or HA derived from abundant specimens where sample mass is not limited, low-voltage measurements with

small diameter pores and symmetric, high molar salt concentrations are preferable to maximize resolution. In contrast, for specimens where HA is sparse7, increased voltage or salt asymmetry

would allow for better minimum mass sensitivity—already 10 ng from our previous work18—though at the expense of some resolution. Expanding buffer conditions also provides a potential route

to additional applications, such as studies that require low salt conditions while retaining measurement efficacy. Considering the challenges of conventional analytical measurements of HA

pertaining to analyte size limitations, sample mass requirements, and ease of use, our systematic investigation of experimental parameters impacting SS-nanopore detection demonstrates the

potential of our platform as a glycan assessment technology. MATERIALS AND METHODS HA SAMPLES A total of seven discrete, quasi-monodisperse HA samples were used (Hyalose, LLC, Oklahoma City,

OK) having average MWs of 54, 81, 130, 237, 545, 1000, or 2500 kDa, respectively58. The MW distributions of the synthetic HA ranged < 5% from their reported means (polydispersity = 

1.001–1.035) as determined by multiangle laser light scattering size exclusion chromatography (MALLS-SEC). Lyophilized samples were resuspended in 1X phosphate buffered saline (137 mM NaCl,

2.7 mM KCl, 8 mM Na2HPO4, and 2 mM KH2PO4, pH ~ 7) to a concentration of 1 μg/μL (approximated from the measured mass of lyophilized HA) to create stock solutions and diluted as needed for

measurements. All samples were stored at 4 °C prior to use. SS-NANOPORE MEASUREMENTS Each solid-state nanopore device consisted of a single aperture in a 19 nm thick silicon nitride

thin-film membrane supported by a 4-mm silicon chip (Norcada, Inc. Alberta, Canada). Nanopore fabrication was performed by He ion milling (Orion PLUS, Carl Zeiss, Peabody, MA) using a method

described elsewhere59 through which calibrated ion doses were used to produce pores of different target diameters with a precision of ± 2–3 nm. This approach offers higher precision and

resolution than Ga focused ion beam milling60, better throughput than traditional transmission electron beam fabrication61, and better flexibility (e.g_._ array formation and shape/location

control) than controlled breakdown techniques62. Chips were stored in 50% ethanol prior to measurement, at which time they were rinsed with ethanol and water, dried under filtered air flow,

and treated with air plasma (30 W, Harrick Plasma, Ithaca, NY) for 2 min on each side before being loaded into a custom flow cell produced by 3D printing (Carbon, Redwood City, CA). After

immediate introduction of an initial measurement buffer (6 M LiCl, 10 mM Tris, 1 mM EDTA, pH 8.0), Ag/AgCl electrodes (Sigma-Aldrich, St. Louis, MO) were positioned in each chamber for

voltage application and ionic current measurement using a patch-clamp amplifier (Axopatch 200B, Molecular Devices, Sunnyvale, CA). Measured current was used to confirm low-noise baseline

signal as well as a linear I-V curve from which SS-nanopore diameter was derived using an established model described in Eq. (1) in the text. For all measurements, buffers consisted of 10 mM

Tris, 1 mM EDTA, pH 8.0 with a LiCl molarity as indicated in the text. Using a target measurement buffer, quasi-monodisperse HA was diluted from the stock solution to the working

concentration indicated in the text and then introduced to the _cis_-chamber in an approximate volume of 12 µL. HA concentrations were chosen to minimize total measurement time (i.e.

adequate event rate) and were held constant when event rates were compared between conditions. A bias was then applied across the membrane to record trans-pore ionic current at a rate of 200

 kHz using a 100 kHz four-pole Bessel filter. An additional 5 kHz low-pass filter was applied using custom software unless otherwise noted. Events caused by translocations of HA through the

pore into the opposite (_trans-_) chamber were identified as transient reductions in the ionic current > 5σ in amplitude compared to baseline noise and with durations in the range of

25–2.5 ms. Data were recorded in discrete blocks (3.2 s duration) from which the mean and standard deviation of event rates were determined by direct counting63. VARYING SALT CONDITIONS When

varying ionic strength in one or both chambers for a single SS-nanopore device, measurements were conducted from the lowest ionic concentration to the highest to avoid effects of residual

salt, flushing with several volumes to replace the fluid completely between measurements. For asymmetric salt measurements, the voltage offset of the amplifier was adjusted for each new

condition to zero the measured current for an applied voltage of 0 mV. ECD values were determined for each molecular translocation event by calculating the integrated area defined by its

current signature (see Fig. 1a). Mean ECD values were determined from log-normal (Gaussian on a log scale) fits to the ECD distribution for an individual pore measurement (c.f. Fig. 3c,

inset). For large MW quasi-monodisperse HA samples (≥ 1000 kDa), background signal was observed that was attributed to sample fragmentation (see Supplementary Fig. S7a), likely induced by

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  Download references ACKNOWLEDGEMENTS The authors wish to thank Rebecca Dodd and Anthony Day (Wellcome Trust Centre for Cell-Matrix Research, University of Manchester) for help measuring HA

diameter from NMR structures. This work was supported by the National Institutes of Health (NIH) grants R01 GM134226 P41 EB020594, and K25 HL133611 and the Oklahoma Center for Advancement

of Science and Technology (OCAST) grant HR18-104 (to P.L.D.). AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Virginia Tech-Wake Forest University School of Biomedical Engineering and

Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA Felipe Rivas, Elaheh Rahbar & Adam R. Hall * Department of Biochemistry and Molecular Biology, University of

Oklahoma Health Sciences Center, Oklahoma, OK, 73104, USA Paul L. DeAngelis * Comprehensive Cancer Center, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA Adam R. Hall Authors

* Felipe Rivas View author publications You can also search for this author inPubMed Google Scholar * Paul L. DeAngelis View author publications You can also search for this author inPubMed 

Google Scholar * Elaheh Rahbar View author publications You can also search for this author inPubMed Google Scholar * Adam R. Hall View author publications You can also search for this

author inPubMed Google Scholar CONTRIBUTIONS F.R. performed all SS-nanopore measurements, analyzed data, interpreted results, and wrote the manuscript. P.L.D. made material contributions to

the project, interpreted results, and reviewed the manuscript. E.R. interpreted results and reviewed the manuscript. A.R.H. oversaw the project, analyzed data, interpreted results, and wrote

the manuscript. CORRESPONDING AUTHOR Correspondence to Adam R. Hall. ETHICS DECLARATIONS COMPETING INTERESTS A.R.H, P.L.D, and E.R are listed as inventors on a patent covering SS-nanopore

analysis of HA. The other authors declare no competing interests. ADDITIONAL INFORMATION PUBLISHER'S NOTE Springer Nature remains neutral with regard to jurisdictional claims in

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and resolution of hyaluronan analysis with solid-state nanopores. _Sci Rep_ 12, 4469 (2022). https://doi.org/10.1038/s41598-022-08533-1 Download citation * Received: 31 December 2021 *

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