Carlos Abad*a,
Dennis Jegielkaab,
Allen Aloysiusac and
Sebastian Recknagel
a
aBundesanstalt für Materialforschung und -prüfung (BAM), Division Inorganic Reference Materials, Richard-Willstätter-Str. 11, 12489 Berlin, Germany. E-mail: Carlos.Abad@bam.de
bHumboldt Universität zu Berlin, Department of Chemistry, Brook-Taylor-Str. 2, 12489 Berlin, Germany
cFreie Universität Berlin, Institute of Chemistry and Biochemistry, Arnimallee 22, 14195 Berlin, Germany
First published on 1st August 2025
Accurate nitrate and nitrite data support water-quality regulation, yet routine methods rely on external calibration and rarely achieve SI traceability. We report a calibration-free determination of nitrate and nitrite by combining isotope dilution with high-resolution continuum-source graphite furnace molecular absorption spectrometry (ID-HR-CS-GF-MAS). A 15N-enriched nitrate spike (its concentration verified by reverse isotope dilution against the standard reference material NIST 3185) provides the SI link, and it is gravimetrically added to samples; nitrate and residual nitrite are converted insitu to nitric oxide (NO), whose 215 nm band is recorded at a pixel resolution of λ/Δλ ≈ 140
000. The 0.2127 nm shift between 14NO and 15NO electronic spectra is resolved, and a three-latent-variable partial least squares regression model yields the 15N/14N ratio with 0.3% precision. Instrumental LoD values of 4.8 ng (14N) and 3.2 ng (15N) translate to a method LoD of 4.8 ng of nitrogen (equivalent to 1.05 mg L−1 NO3− for a 20 μL aliquot). The furnace program allows for successive drying/pyrolysis loops, so additional 20 μL aliquots can be layered onto the graphite platform. Alternatively, a 10 mL anion-exchange solid-phase extraction step concentrates nitrate and nitrite fivefold, allowing for the analysis of even lower sample concentrations. Results for four certified reference materials (2.9 to 1000 mg L−1 NO3−) agreed with certified values, giving relative expanded uncertainties of 2 to 4%. Analysis of twenty Berlin surface-water samples revealed concentrations ranging from 0.10 to 7.3 mg L−1 NO3−, indicating that the Panke River and Teltow Canal are the primary sources of nitrogen. ID-HR-CS-GF-MAS thus delivers ID-MS-level accuracy in a few minutes per run with bench-top optics, and, with optional on-platform or SPE pre-concentration, extends SI-traceable nitrate/nitrite monitoring into the low-ng regime.
Conventional nitrate and nitrite analysis (e.g., ion chromatography) relies on external calibration and is not inherently SI-traceable.7,8 By contrast, isotope-dilution (ID) is an absolute analytical method that yields directly SI-traceable results.9,10 ID-mass-spectrometry (ID-MS) has demonstrated this for nitrate with 2–5% precision, but such methods require complex sample preparation and expensive instrumentation.10 There is thus a need for simpler, absolute methods, especially ID approaches, for quantifying nitrate and nitrite, and optical spectroscopy provides an alternative.
High-resolution continuum-source molecular absorption spectrometry (HR-CS-MAS) has emerged as a powerful optical technique for non-metal analytes. A continuum lamp that covers the 190–900 nm range is combined with a high-resolution spectrometer. This setup visualizes the bands of diatomic molecules and significantly reduces spectral interference.11
Recent advances have opened the door to isotopic analyses via molecular absorption, combining the strengths of ID with the convenience of optical detection.12,13 The fundamental principle enabling this combination is the isotopic shift, where isotopologues of a diatomic molecule absorb at slightly different wavelengths due to mass-dependent shifts in their rotational–vibrational energy levels. In general, these shifts are more pronounced for molecular spectra than for atomic spectra, which is advantageous for optical resolution of isotopic signals. Over the past decade, it has capitalized on this by implementing ID with HR-CS-GF-MAS for several elements. For example, trace chlorine has been quantified by generating AlCl in a graphite furnace and measuring the absorption of Al35Cl and Al37Cl isotopologues, with an enriched 37Cl spike added to the sample.12 Similar molecular strategies have been applied to bromine,13 calcium,14 strontium,15 boron,16 and via the isotope shift of the main resonance atomic lines for lithium.17 Moreover, this optical spectrometer, when combined with chemometric data analysis, has been successfully used to determine precise isotope amount ratios of boron18 and lithium.19,20 These studies established that HR-CS-spectrometry can indeed discern isotopic absorption features. Nitrogen falls into this category with its two stable isotopes (14N and 15N), making it an ideal candidate for an optical isotope dilution approach.
Notably, nitric oxide (NO) exhibits sharp UV absorption bands (around 200–250 nm) that can be generated from nitrate and nitrite.21 Huang et al.22 pioneered the HR-CS-MAS detection of NO, where they thermally decomposed nitrate in a graphite furnace. They recorded NO's UV spectrum around the 215.360 nm absorption line in a flame and a graphite furnace. They achieved a detection limit for N of 5 ng and demonstrated linearity up to 3000 ng with a graphite furnace, validating their results against certified nitrate standards. Huang also demonstrated that coexisting acids and metal ions (HCl, H2SO4, H3PO4, Fe, Cu, etc.) can suppress NO absorbance; however, this effect can be mitigated by using a low pyrolysis temperature. Brandao et al. extended NO detection to nitrite,23,24 reducing nitrite with ascorbic acid to produce NO and measuring its absorption. This chemical-generation method achieved sub-μg mL−1 detection limits. Additionally, Brandao et al. demonstrated, using a graphite furnace, that by co-injecting HCl and tuning furnace temperatures, the nitrite signal could be thermally suppressed while nitrate yields NO. In that mode, nitrate/nitrite is quantified as total nitrate (with nitrite oxidation by H2O2).
Despite these advances, nitrate and nitrite have never been quantified by isotope-dilution HR-CS spectrometry. Previous optical studies relied on external or standard-addition calibration, leaving an unmet need for a fully SI-traceable, calibration-free method. In principle, the resolution of modern HR-CS instruments is sufficient to separate the 0.21 nm shift between 14NO and 15NO; thus, if a 15N-enriched nitrate spike is added to the sample, the 15NO/14NO absorbance ratio should yield the analyte amount without recourse to a conventional calibration curve. Implementing such an optical ID scheme would provide the metrological rigor of ID-MS while retaining the simplicity, speed, and cost advantages of molecular absorption spectrometry.25
The present study, therefore, develops an ID-HR-CS-GF-MAS method for total nitrate/nitrite. We (i) generate NO in situ from nitrate and nitrite in a graphite furnace, (ii) resolve the isotopologues lines with a continuum-source echelle spectrograph, and (iii) extract the isotope ratio by multivariate regression. The work describes the optimization of furnace conditions, chemometric treatment of the spectra, and the construction of an SI-traceable measurement chain based on a gravimetrically characterized 15N spike. By addressing these elements, we aim to demonstrate a practical, primary-method alternative to ID-MS for the accurate determination of nitrate and nitrite in environmental waters.
Certified reference materials (CRMs) used for validation were NIST SRM 3185 (nitrate solution), a Merck nitrate CRM, River-Water-Anions CRM LGC6020 (LGC Standards, United Kingdom), and river water sample RM NWMISSIPPI-14 (Environment and Climate Change Canada, Canada); their certified values are listed in Table 1 of the Results section. The NIST SRM 3185 was also used for the traceable concentration characterization of the 15N spike by gravimetric reverse isotope dilution.
Reference material | 15N![]() ![]() |
NO3− (certified)/mg L−1 | U (certified) | NO3− (equivalent measured)/mg L−1 | U (measured) | En |
---|---|---|---|---|---|---|
NIST SRM 3185 | 60![]() ![]() |
1000.6 | 1.8 | 999.13 | 0.25 | 0.95 |
55![]() ![]() |
998.54 | 0.33 | 1.40 | |||
50![]() ![]() |
1001.94 | 0.38 | 0.95 | |||
45![]() ![]() |
999.09 | 0.17 | 0.93 | |||
40![]() ![]() |
998.58 | 0.55 | 1.62 | |||
MERCK CRM | 60![]() ![]() |
886.2 | 22.1 | 877.13 | 0.85 | 0.43 |
55![]() ![]() |
879.13 | 1.11 | 0.34 | |||
50![]() ![]() |
880.27 | 0.81 | 0.28 | |||
45![]() ![]() |
881.35 | 0.20 | 0.22 | |||
40![]() ![]() |
876.17 | 0.92 | 0.47 | |||
LGC6020 | 60![]() ![]() |
28.2 | 1.2 | 24.99 | 2.95 | 1.84 |
55![]() ![]() |
27.24 | 0.18 | 0.94 | |||
50![]() ![]() |
26.97 | 2.21 | 1.22 | |||
45![]() ![]() |
27.38 | 0.29 | 0.91 | |||
40![]() ![]() |
27.14 | 0.37 | 1.27 | |||
NWMISSIPPI-14 | 60![]() ![]() |
2.93 | 0.23 | 2.76 | 0.09 | 1.24 |
55![]() ![]() |
2.67 | 0.17 | 3.96 | |||
50![]() ![]() |
3.06 | 0.10 | 0.98 | |||
45![]() ![]() |
2.84 | 0.10 | 0.70 | |||
40![]() ![]() |
3.11 | 0.12 | 1.69 |
Liquid aliquots (20 μL sample + 5 μL 1% w/v Ca modifier) were delivered by an MPE-60 autosampler (Analytik Jena, Germany). An argon purge of 2 L min−1 was maintained throughout the temperature program, except during atomization (flow = 0). Furnace conditions were optimized to maximize NO yield while preventing dissociation: a multistep drying/pyrolysis sequence with gentle ramps (50 °C s−1) is followed by an atomization plateau at 800 °C (full heating program in Table S1). Under these conditions, the NO γ-band (Δv = +1) was recorded with an effective wavelength spacing of ∼0.02 nm, providing fully resolved 14NO and 15NO features for isotope-dilution evaluation. For method optimization, samples were measured in four replicates; for sample analysis and chemometric model training, ten replicates were used.
For ID analysis, samples with low nitrogen content (less than 10 mg L−1 N) can utilize the pre-concentration option described in Table S1. This option involves one or more additional 20 μL injections, which are dried and pyrolyzed (steps 4a/4b) before the final atomization, thereby increasing the total mass of nitrate/nitrite. At the opposite extreme, samples that are naturally more concentrated were diluted so that the net signal corresponded to ≈10 mg L−1 N. In this way, the integrated absorbances of the 14NO and 15NO lines always fell within the linear, high-signal region of the detector, guaranteeing comparable proportional line shapes and signal-to-noise ratios for both isotopologues across all measurements.
Because only a small spectral region was sufficient for analysis, data were acquired using the commercial contrAA 800 HR-CS-AAS instrument. For every furnace cycle, the detector delivered a 200-point segment from 215.155 to 215.450 nm, around the Δv = +1 14NO band head. Each spectrum was area-normalized to remove lamp-intensity drift, converted to an 11-point, second order Savitzky–Golay second derivative to sharpen the highly overlapped rotational structure, and finally mean-centered.
The calibration matrix comprised 110 spectra: eleven gravimetric 15N:
14N mixtures (Table S2) recorded in ten replicates each. Venetian-blind cross-validation (ten splits, blind thickness = 1) was employed to ensure that every mixture contributed equally to the validation set. A three-factor SIMPLS model proved optimal.
Processed isotope fractions n(14N)/n(N) and n(15N)/n(N) were inserted into the isotope-dilution equation to obtain the nitrogen mass fraction of the sample, wsample (eqn (1)), where wspike,15N is the 15N mass fraction in the spike, M(sample) and M(15N) are the molar masses of nitrogen in the sample and spike, respectively, xsample,15N is the amount fraction of 15N in the sample, m denotes the masses of the spike and sample, and R represent the isotope ratios in the spike, sample, and mixed solutions. All uncertainty components, sample and spike weighing, spike characterization, and ratio precision, were calculated using GUM Workbench 2.4 (Metrodata GmbH, Germany) and Open Monte Carlo Engine v1.2.3 (Ruediger Kessel, NIST, USA).
![]() | (1) |
The isotope dilution limit of detection (LoDID) is obtained by propagating the instrumental LoDs of the two isotopes through the ID equation, following the derivation of Yu et al.28 in its simplified form (eqn (2)):
![]() | (2) |
The numerator represents the smallest measurable difference between the two isotope signals: the LoD for 14N minus the 15N LoD scaled by the spike isotope ratio Rspike = n(14N)/n(15N) in the spike solution. The denominator is the sensitivity factor that converts a change in isotope ratio into a change in analyte mass; it is the difference between the natural-abundance 14N atom fraction in the sample x(14N)Sample and the same fraction weighted by the spike ratio. As Rspike (i.e., as the spike becomes more 15N-enriched), the denominator grows and the overall LoDID decreases, reflecting the greater “lever-arm” afforded by a highly enriched spike. Hence, the equation directly links the method detection limit to the individual isotope sensitivities of the instrument and the degree of spike enrichment, showing that an optimally enriched spike minimizes the mass of N that must be detected. The LoD14N = 4.8 ng N and the LoD15N = 3.2 ng N, yield an overall LoDID of 4.8 ng N, equivalent to 0.24 mg L−1 N for an aliquot of 20 μL injected into the graphite furnace of the HR-CS-AAS instrument.
Despite the ng detection capability, samples were nonetheless diluted or, if necessary, pre-concentrated (see the next section, solid-phase extraction, SPE) so that the final concentration was close to 10 mg L−1 N, to match an integrated absorbance of 0.3 s−1. At this signal level, the rotational-vibrational lines of both 14NO and 15NO isotopologues lie well above the baseline yet remain within the linear range of the detector, ensuring a high signal-to-noise ratio required for reliable PLS deconvolution of the entire molecular profile.
Furnace-temperature optimization (Fig. S2 and S3) indicated that nitrate decomposed above 350 °C; therefore, the pyrolysis step was fixed at 300 °C. A slow atomization ramp (50 °C s−1) up to 800 °C maximized NO absorbance and ensured a stable molecular signal for isotope ratio analysis, as higher temperatures offered no further gain and risked decomposition. Under these conditions, the blank signal remained stable, providing a robust baseline for isotope-ratio work.
The matrix tolerance is based directly on the detailed interference studies of Huang et al. and Brandao et al.22,23 Huang demonstrated that acids and metal ions can suppress the NO signal; however, low-temperature pyrolysis (≤150 °C) and a Ca modifier largely mitigate this issue. Brandao confirmed the same behavior for nitrite and demonstrated that even 5% HCl suppresses the nitrite-derived NO far more strongly than the nitrate-derived NO, a feature they exploited for speciation. As the current isotope-dilution method measures the ratio of native 14NO to spike 15NO, any residual suppression acts equally on both isotopologues, leaving the calculated concentration unaffected. Therefore, matrix effects are cancelled out by design.
An additional tolerance test (Fig. 3) shows that fluoride, sulfate, and phosphate, added individually at concentrations up to 1000 mg L−1, reduce the NO absorbance by no more than 18%. This minor attenuation indicates that the probable formation of stable Ca(NO3)2 (and Ca(NO2)2) effectively retains the analyte even in highly saline waters. Absorption bands of the carbon sulfide (CS) molecule occasionally appear in sulfur-rich matrices. Still, the slow atomization ramp keeps the NO lines temporally separated from the CS absorption lines, preventing overlap (vaporization of NO occurs early than the CS molecule). These results confirm that the ID-HR-CS-GF-MAS method is insensitive to the ionic compositions typically encountered in natural samples, and that no separate reduction/oxidation or matrix-matching steps are required for SI-traceable nitrate/nitrite quantification.
Under the optimized furnace conditions, the rotational lines are sufficiently sharp that the most intense 14NO and 15NO lines are baseline-separated; crosstalk is <0.3% when a 0.020 nm integration window is applied around each peak. This resolution is essential for optical isotope dilution because it allows the absorbances of the two isotopologues to be measured independently and related directly to the 15N/14N amount ratio in the graphite furnace atomization. The 0.2127 nm displacement also agrees with literature data for the γ-system,30 confirming that the spectrometer's wavelength scale is accurate to better than ±0.002 nm. The matrix-induced line shifts are negligible at the selected atomization temperature.
A SIMPLS PLS-R model with three latent variables related the treated spectra (X-block, 215.155–215.450 nm) to the gravimetric isotope fractions n(14N)/n(N) and n(15N)/n(N) (Y-block), the first latent variable (LV1) accounting for 94% of the X-variance and 98% of the Y-variance (overall NO absorbance). LV2 contributed a further 3.5%/1.1% (systematic wavelength shift), and LV3 2%/0.2% (minor baseline differences). Additional latent variables reduced the cross-validated error by <1% and began to fit noise, so the rank was fixed at LV = 3. Cross-validation (venetian blinds, 10 splits) gave the resulting statistics, RMSEC = 5.3‰, RMSECV = 6.2‰, Rcal2 = 0.999699, RCV2 = 0.999595, confirming excellent linearity across the full isotopic range. Hotelling-T2 and Q-residual tests (95% threshold) revealed no outliers. A single prediction of the 15N/14N ratio therefore carries a relative standard uncertainty of approximately 0.3%, which is fully compatible with the 2–4% combined uncertainty targeted for the isotope-dilution measurement.
The concentration of the 15N-spike solution was established by reverse isotope dilution against the NIST SRM 3185 nitrate standard, providing the link to the primary SI traceability chain. In this approach, a known amount of certified standard is mixed with the spike solution, and the resulting isotope ratio is measured. By rearranging the ID equation and inserting the certified mass fraction of the standard, the unknown spike concentration can be calculated.31 Once the spike concentration was known, unknown samples were spiked, measured, and the PLS-R predicted isotope fractions were inserted into the ID equation (eqn (1)) to obtain the nitrate-equivalent nitrogen mass fraction.
Accuracy was verified with four certified reference materials (CRM concentrations 2.9–1000 mg L−1 NO3−). For each material, the En value was calculated: the absolute difference between the measured value and the certificate, normalized by the combined (expanded) uncertainty of that difference.32 An En less than one signals agreement, whereas values above one indicate incompatibility. In many cases, En remained below unity, and the corresponding expanded uncertainties (k = 2) were only 2–4%. For the spike-to-sample ratios where the calculated |En| exceeded the unity, these correspond to highly unbalanced isotope ratios, where the ID equation is most sensitive to small deviations in the measured 15N/14N value or to the relatively large uncertainty quoted for the low-level CRMs. When the spike and sample were brought close to the equimolar ratio (≈50:
50), almost all materials showed |En| < 1, confirming the absence of a systematic bias and highlighting the importance of an optimized spike/sample match for the lowest uncertainty.
So, the optimum precision (average Urel ≈ 1.2%) occurred at 15N:
14N ≈ 1, the ratio targeted in routine analyses. Finally, twenty Berlin surface-water samples were analyzed the same way, demonstrating that the spectroscopic isotope dilution method—grounded in gravimetry, powered by spectral deconvolution and anchored by a NIST-traceable spike—delivers reliable, SI-traceable nitrate/nitrite concentrations in real environmental matrices.
Fig. S1 summarizes the workflow for analysis by ID-HR-CS-MAS. Instrumental limits of detection were 4.80 ng (14N) and 3.15 ng (15N). Applying the symmetric ID-LoD expression gave a combined method LoD of 21.05 ng NO3− (0.24 ng N) per 20 μL injection.
Twenty sites were sampled in early April 2025 (Table 2 and Fig. 5). Total nitrate and nitrite (reported as nitrate equivalent NO3−) spanned more than two orders of magnitude, from 0.10 mg L−1 in the outer Spree to 7.3 mg L−1 in the inner-city Panke. Main reaches of the Spree, Dahme and Havel remained below 0.8 mg L−1 NO3−, reflecting effective dilution and limited upstream agriculture. Two corridors showed pronounced enrichment:
Place | NO3− equiv./mg L−1 | U | N/μg L−1 | U | Geographical coordinates | |
---|---|---|---|---|---|---|
1 | Langer see – Bammelecke | 0.80 | ±0.04 | 180.67 | ±0.06 | 52°24′27.9′′N 13°37′19.2′′E |
2 | Spree – Spreetunnel | 0.190 | ±0.010 | 42.91 | ±0.02 | 52°26′39.7′′N 13°37′30.0′′E |
3 | Dahme – Teltowkanal | 0.79 | ±0.04 | 158.09 | ±0.06 | 52°25′39.7′′N 13°34′31.3′′E |
4 | Teltowkanal – Adlershof | 2.5 | ±0.2 | 564.60 | ±0.20 | 52°25′32.6′′N 13°32′09.8′′E |
5 | Teltowkanal – Buschkrugbrücke | 2.8 | ±0.2 | 632.35 | ±0.22 | 52°27′34.2′′N 13°26′50.6′′E |
6 | Teltowkanal – Hafen Steglitz | 2.25 | ±0.13 | 496.84 | ±0.17 | 52°26′36.2′′N 13°19′32.8′′E |
7 | Teltowkanal – Eugen-Kleine-Brücke | 2.83 | ±0.17 | 632.35 | ±0.22 | 52°25′11.3′′N 13°18′09.1′′E |
8 | Teltowkanal – Kleinmachnow | 4.7 | ±0.3 | 1061.44 | ±0.37 | 52°23′58.8′′N 13°10′45.6′′E |
9 | Spree – Fähre Baumschulenweg | 0.16 | ±0.01 | 36.13 | ±0.01 | 52°28′20.1′′N 13°29′42.3′′E |
10 | Spree – Lohmühleninsel | 0.56 | ±0.03 | 126.47 | ±0.04 | 52°29′49.5′′N 13°27′24.3′′E |
11 | Spree – Jannowitzbrücke | 0.39 | ±0.05 | 171.64 | ±0.06 | 52°29′51.1′′N 13°23′32.5′′E |
12 | Landwehrkanal – Hallesches-Tor-Brücke – Kreuzberg | 0.77 | ±0.015 | 67.75 | ±0.02 | 52°30′48.4′′N 13°25′10.4′′E |
13 | Panke – Schönwalder Straβe | 7.3 | ±0.4 | 1648.62 | ±0.58 | 52°32′33.1′′N 13°22′24.3′′E |
14 | Spree – Landwehrkanal | 0.77 | ±0.04 | 173.90 | ±0.06 | 52°31′13.5′′N 13°19′04.3′′E |
15 | Hohenzollernkanal – Schleuse Plötzensee | 1.80 | ±0.10 | 406.51 | ±0.14 | 52°32′43.5′′N 13°19′17.3′′E |
16 | Westhafenkanal – Mörschbrücke | 1.00 | ±0.06 | 225.84 | ±0.08 | 52°31′56.2′′N 13°17′40.0′′E |
17 | Spree – Sophienwerder | 0.110 | ±0.011 | 24.84 | ±0.01 | 52°32′10.1′′N 13°12′57.3′′E |
18 | Havel – Stößenseebrücke | 1.6 | ±0.1 | 361.34 | ±0.13 | 52°30′34.2′′N 13°12′54.0′′E |
19 | Havel – Grunewaldturm | 1.39 | ±0.08 | 293.59 | ±0.10 | 52°28′41.7′′N 13°11′29.1′′E |
20 | Wannsee – Pfaueninsel | 1.30 | ±0.08 | 293.59 | ±0.10 | 52°25′44.9′′N 13°07′18.2′′E |
(a) Teltow canal. Concentrations rose steadily from 2.5 mg L−1 NO3− at Adlershof to 4.7 mg L−1 NO3− at Kleinmachnow, mirroring inputs of treated municipal wastewater.
(b) Panke river. A maximum of 7.3 mg L−1 NO3− at Schönwalder Straβe confirms this small tributary as a disproportionate nitrogen source to the Spree.
Even the highest values remain well below the EU drinking-water limit of 50 mg L−1 NO3− (≈10 mg L−1 N).4 Yet, local eutrophication is likely in sluggish canal sections where hydraulic residence times are long.34 The spatial distribution agrees with mass-balance estimates from earlier studies,35–37 demonstrating that ID-HR-CS-GF-MAS can deliver rapid, SI-traceable snapshots of urban nitrogen loads.
Compared with routine ion chromatography7 (LoD 5–23 μg L−1 N for NO3− and NO2−, respectively) and classical ID-MS9 (LoD ≈ 0.03 μg L−1 N but ≥20 min per run), the optical ID method offers ng sensitivity, direct SI traceability without mass-spectrometric infrastructure, and a total cycle time of a few minutes. Capital expenditure is far lower than for an ID-MS system, making the technique attractive for routine surveillance and for certifying reference materials when rapid, absolute quantification is required.
Thus, by resolving the 0.2127 nm isotopic shift of NO and coupling it with isotope dilution, HR-CS-GF-MAS provides an accurate, robust and economical route to total-nitrate/nitrite data—precisely the kind of high-quality information needed to safeguard surface-water-dominated drinking-water supply under increasing hydrological pressure.
Four certified reference materials spanning three orders of magnitude were metrologically compatible (|En| < 1) across a range of spike-to-sample ratios, and twenty Berlin surface-water samples yielded concentrations from 0.10 to 7.3 mg L−1 NO3−-equivalent, faithfully reproducing known spatial patterns and identifying the Panke River and Teltow Canal as dominant nitrogen sources. Matrix studies indicate that common freshwater anions and mixed NO2−/NO3− compositions exert only minor attenuation, which cancels out in the isotope-ratio measurement; therefore, no matrix matching or redox pretreatment is required.
Although the proof-of-concept already meets regulatory needs, several refinements will further strengthen the metrology and potentially be used for precise isotope amount ratio analysis. Re-determining the 14N and 15N salt atom fractions using high-precision ID-MS, incorporating more PLS-R training mixtures with additional isotope ratios, and testing extreme salinities or high organic loads will all enhance accuracy and robustness. A mixed-isotope check standard would provide routine performance control and facilitate long-term validation. At the same time, systematic studies of tube memory during multi-aliquot stacking will secure the ultra-trace region now accessible through on-platform enrichment or SPE.
None of these practical considerations detracts from the central outcome: optical isotope dilution, implemented with HR-CS-GF-MAS, delivers ID-MS-level accuracy in a fraction of the time and at a fraction of the cost. By combining the intrinsic accuracy and precision of isotope dilution with the operational simplicity of molecular absorption spectroscopy, the method provides an attractive, SI-traceable alternative for routine nitrate/nitrite surveillance, reference material production, and, in the future, the absolute quantification of other light-element species whose isotopologues are within the reach of high-resolution continuum-source spectrometry. While the current chemometric processing requires expert-level data handling, this work establishes a foundation for implementing SI-traceable isotope dilution workflows in commercial instruments through dedicated software development, potentially enabling broader adoption of optical ID techniques.
SI contains furnace-optimisation data, calibration-mixture compositions, detailed heating programme, chemometric parameters, and additional figures supporting method validation and performance. See DOI: https://doi.org/10.1039/d5ja00252d.
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