Optek-Danulat ASD-N Biomass Probe: Performance Review from Four Peer-Reviewed Studies
Across four peer-reviewed studies — a P. pastoris fed-batch soft-sensor study up to 135 g/L DCW, a microalgal photobioreactor optical-methods benchmark, a 2025 hybrid-modelling and Model Predictive Control build on the same P. pastoris platform, and a classical NIR-vs-dielectric-spectroscopy comparison — the Optek-Danulat ASD-N range emerges as the most-cited transmitted-light NIR-absorption biomass probe for fermentation and microalgal bioprocesses. Grigs et al. 2021 reported an 8% normalised RMSE in P. pastoris DCW across the whole 0–135 g/L range and about 5 g/L RMSE below 50 g/L [1]. Havlik et al. 2022 measured R² = 0.97–0.99 between ASD19-N turbidity and off-line spectrophotometer OD in microalgal cultivation, matching the accuracy of the reference spectrophotometer itself [2]. Bolmanis et al. 2025 embedded the same ASD19-EB-01 signal into a hybrid deep-learning model for Model Predictive Control of the P. pastoris process [3]. The recurring caveats are Beer–Lambert saturation above about 90 g/L DCW with a 10 mm optical path, the total-vs-viable biomass difference against Aber/Hamilton capacitance probes [4], and unreliability in unclear media or cultures containing adsorbents or a solid growth matrix — the boundary Kiviharju et al. 2007 identified for NIR light absorption compared with dielectric spectroscopy.
Optek ASD-N range at a glance
The ASD-N family from Optek-Danulat GmbH (Essen, Germany, part of TT Electronics) is a set of single-channel NIR-absorption biomass probes for insertion through the headplate or side port of a fermenter or bioreactor. The three insertion probes share the same measurement principle — light absorption at 840–910 nm across a fixed optical path length between a hybrid LED source and a hermetically sealed silicon photodiode — and differ in probe body diameter, sanitary connection, and sterilisation compatibility. The spec table below is compiled from the ASD12-N datasheet and the ASD25-N datasheet; field performance evidence comes from the peer-reviewed studies cited throughout this review.
| Specification | ASD12-N (pilot / R&D) | ASD19-N (mid-scale) | ASD25-N (production, sanitary) |
|---|---|---|---|
| Measurement principle | Single-channel light absorption; hybrid LED source at 840–910 nm; hermetically sealed silicon photodiode; seal-less sapphire window | ||
| Optical path length | 1, 5, 10 or 20 mm (choose shorter for denser bacterial / yeast cultures, longer for mammalian / algal) | ||
| Insertion depth | 110, 215 or 315 mm + OPL | Similar to ASD12 body, sized for larger vessels | 35 mm + OPL with 60 mm port length (30 mm extension available) |
| Process connection | 12 mm diameter, PG 13.5 thread | 19 mm diameter, M26 × 1 thread | G 1¼ in. ISO 228/1 thread, similar-to-Ingold port, 3-A sanitary |
| Sterilisation | Autoclavable without cable; max 4 bar / 135°C; up to 60 min/day | Autoclavable (same construction as ASD12) | CIP/SIP-optimised (3-A); autoclaving NOT possible |
| Process temperature | 5–50°C permanent (135°C for autoclave) | Similar to ASD12 | 5–65°C permanent; 5–135°C peak (SIP) |
| Process pressure | Pressure-free (±0.5 bar) | Pressure-free (as ASD12) | 0–10 bar (0–145 psi) |
| Converter | C4000 or C8000 platform; the hybrid-LED design allows up to 4 ASD25 probes per C4000 | ||
| Output | 4–20 mA analogue; digital via converter (RS-232 / Ethernet); user-programmable measurement units (CU / OD / g/L after calibration) | ||
| Typical use | Pilot fermenters, single-use bag bioreactors, R&D | Mid-scale fermenters and reusable bioreactors | GMP / production fermenters and cGMP-validated cell culture |
| Indicative capital cost | Approximately €7,000–€15,000 per channel including converter (industry-typical for a stainless in-line NIR probe; contact Optek or your local distributor via the product page for a quote) | ||
Spec values are taken directly from the Optek ASD12-N and ASD25-N product pages and the C4000/C8000 converter product information brochure. The INFORS HT integration page confirms the wavelength range and OPL family. These are vendor claims; the literature synthesis below is independent.
What the peer-reviewed literature says
Four studies from 2007 to 2025 provide directly quantitative or comparative evidence on the ASD-N range: two Latvia–Lithuania group papers on Pichia pastoris fed-batch that name the specific model (Grigs 2021 and Bolmanis 2025), one German-Colorado optical methods benchmark on microalgal cultivation that names the ASD19-N model (Havlik 2022), and a Finnish comparison paper from 2007 that benchmarked the NIR-absorption approach itself against dielectric spectroscopy in bioreactor microorganism cultivations (Kiviharju). The 2007 paper does not name Optek in its abstract, but it defines the failure boundary for any transmitted-light NIR absorption probe of the ASD-N type and is included here as the classical methodological reference the field still cites for that boundary. Together the four papers cover microbial and photobiological modes, dry-cell-weight ranges from below 1 g/L to 135 g/L, and both traditional linear regression and modern hybrid-deep-learning use of the probe signal.
Grigs, Bolmanis, Galvanauskas (2021) is the quantitative benchmark of record for the ASD19-EB-01 in high-cell-density yeast fed-batch [1]. The authors used the probe with a 10 mm optical path in a 5 L stirred-tank bioreactor across recombinant P. pastoris GS115 processes producing HBcAg (Mut+) and HBsAg (MutS), with glycerol and methanol substrates. The turbidity signal was correlated to off-line dry cell weight via an exponential calibration; the resulting biomass estimate held to an 8% normalised RMSE across the whole 0–135 g/L DCW envelope. Below 50 g/L, the RMSE was approximately 5.0 g/L; between 50 and 135 g/L, RMSE climbed to about 12.3 g/L. The authors identified 90 g/L DCW as the practical linear ceiling under constant mixing and aeration and explicitly recommended combining the ASD signal with soft-sensors (oxygen uptake, base addition) to extend usable range at higher cell density. This is the strongest quantitative-accuracy citation for the ASD-N range in the literature reviewed here, and it establishes the Beer–Lambert saturation ceiling that constrains any transmitted-light NIR probe.
Havlik, Beutel, Scheper, Reardon (2022) provides the tightest published R² number for the ASD19-N against a reference off-line method [2]. The paper is a review of on-line optical methods for microalgal bioprocesses that also reports the authors' own comparison of an RGB image sensor, an off-line spectrophotometer, and the commercial Optek ASD19-N turbidity probe in a closed flat-panel photobioreactor. The three methods gave comparable accuracy and precision, with R² = 0.97–0.99 across the tested range. The paper's practical contribution is confirming that even in the challenging photobioreactor environment — strong background chlorophyll pigmentation and gas-lift bubble noise — the ASD19-N's transmitted-light NIR geometry stayed linear against the spectrophotometer, in line with Optek's design claim that transmitted-light NIR at 840–910 nm is less susceptible to bubble artefacts and window coating than backscatter at visible wavelengths.
Bolmanis, Grigs, Galvanauskas (2025) built directly on the same platform, extending the earlier 2021 work with a hybrid deep-learning model and Model Predictive Control [3]. The same in-situ ASD19-EB-01 probe supplied the real-time biomass signal that anchored the hybrid model; the turbidity trace was correlated to biomass via an exponential calibration equation that the authors' MPC then used to close the control loop. The paper does not itself re-report the linearity numbers from the 2021 study — it treats the ASD probe as a validated primary sensor and focuses on the modelling and control layer above it — but its methodological choice is important evidence that the ASD probe reading is stable enough to serve as an anchoring signal for closed-loop MPC in cGMP-relevant P. pastoris production. It is the most recent (2025) use of the probe in the peer-reviewed literature reviewed here.
Kiviharju, Salonen, Moilanen, Meskanen, Leisola, Eerikäinen (2007) is the classical NIR-vs-dielectric comparison of the field [4]. The authors evaluated an on-line NIR light-absorption probe and an on-line dielectric-spectroscopy probe in bioreactor cultivations of several microorganisms and concluded that the NIR absorption method was — at the time — more developed and reliable for on-line in-situ biomass estimation than dielectric spectroscopy, with a critical explicit exception: NIR absorption is of no significant use when the cultivation medium is not clear, and especially in processes using adsorbents or a solid matrix for the microorganism to grow on. This is the reference boundary condition every subsequent transmitted-light NIR probe study — including the ASD-N literature above — has had to work within. The paper's abstract does not name the specific commercial probe model (Optek is not stated in the freely-visible portion), and we cite it here as methodological rather than product-attributive evidence — for the general NIR-vs-dielectric trade-off statement, not for a specific Optek performance number.
Performance data from cited studies
| Study | Conditions | Accuracy / correlation | Response / drift | Conclusion |
|---|---|---|---|---|
| Grigs 2021 [1] | P. pastoris GS115 HBcAg (Mut+) / HBsAg (MutS) fed-batch, 5 L stirred-tank, glycerol + methanol substrates; Optek-Danulat ASD19-EB-01 with 10 mm OPL | NRMSE 8% across 0–135 g/L DCW; RMSE ~5.0 g/L below 50 g/L; RMSE ~12.3 g/L between 50 and 135 g/L; exponential calibration to off-line DCW | Acceptable up to ~90 g/L DCW under constant mixing / aeration; degradation is Beer–Lambert saturation, not probe drift | ASD19 signal reliable primary sensor at moderate cell density; needs soft-sensor coupling above ~90 g/L DCW |
| Havlik 2022 [2] | Microalgal cultivation in a closed flat-panel photobioreactor; three-way comparison of RGB image sensor, off-line spectrophotometer, and commercial Optek ASD19-N NIR probe | R² = 0.97–0.99 for ASD19-N vs off-line spectrophotometer OD; accuracy and precision comparable to spectrophotometer and RGB sensor | Stable across the tested cultivation; no calibration drift reported over the run | Transmitted-light NIR remains linear against reference OD in photobioreactor conditions, in line with the vendor claim of bubble and coating tolerance |
| Bolmanis 2025 [3] | Recombinant P. pastoris fed-batch (same platform as Grigs 2021); Optek-Danulat ASD19-EB-01 anchoring a hybrid deep-learning + Model Predictive Control loop | ASD signal anchored a closed-loop MPC via an exponential turbidity–biomass calibration; specific accuracy numbers inherited from the 2021 platform paper | Probe used as validated primary sensor for real-time MPC; no drift correction event reported | ASD-N reading is stable enough to sit at the base of a hybrid-model MPC in cGMP-relevant P. pastoris production |
| Kiviharju 2007 [4] | Bioreactor cultivations of several microorganisms; on-line NIR light-absorption probe compared with an on-line dielectric-spectroscopy probe (comparative methodology paper) | Not attributed to the ASD-N range specifically; general NIR-absorption vs dielectric comparison paper | NIR method identified as more developed and reliable than dielectric spectroscopy in clear media at the time of publication | NIR absorption fails when the cultivation medium is not clear or in processes using adsorbents / solid matrix — the boundary the ASD-N literature above operates within |
Every row is a separate peer-reviewed publication; see References section for full citations. Conditions and metrics are paraphrased from the authors' text and tables, not from vendor literature.
Limitations and failure modes reported
Across the reviewed studies, and reading carefully for what the authors do not claim, the following limitations and failure modes recur. Each bullet is tagged with the citations that describe it.
- Absorbance saturates at very high cell density (Beer–Lambert ceiling). Grigs 2021 identified ~90 g/L DCW as the practical linear ceiling for a 10 mm optical path in P. pastoris fed-batch; RMSE degraded from ~5 g/L below 50 g/L to ~12.3 g/L across 50–135 g/L [1]. Shorter optical paths (1 or 5 mm) shift the ceiling upward but sacrifice low-density sensitivity. This is a physics limit of transmitted-light optics, not a vendor-specific defect.
- Total biomass, not viable biomass. The ASD-N signal responds to any suspended, light-absorbing structure — live cells, dead cells, and cell fragments. Late-culture divergence between offline VCD and ASD reading is therefore expected in fed-batch mammalian and microbial processes where dead-cell fraction rises through the run. For viable-only measurement, capacitance probes such as the Aber FUTURA or the Hamilton Incyte Arc are the reference alternatives [4].
- NIR absorption is unreliable in unclear media, adsorbent-containing cultures, or solid-matrix processes. Kiviharju et al. 2007 identified this as the primary failure boundary of the NIR-absorption approach compared with dielectric spectroscopy [4]. Any process with a coloured medium (rich lignocellulose hydrolysate, melanin-producing strains) or a heavy antifoam load will need empirical calibration and may still under- or over-read at high cell density.
- Autoclaving is model-dependent. ASD12-N and ASD19-N are autoclavable within the vendor-stated envelope (max 4 bar / 135°C for up to 60 min per day) but the sanitary production probe ASD25-N is NOT autoclavable — only CIP/SIP-optimised. Choosing the wrong model for a lab process where autoclave is the sterilisation route will limit sensor lifetime.
- The reviewed literature does not include a large-mammalian-cell CHO fed-batch benchmark of the ASD-N series. The strongest quantitative papers are on P. pastoris yeast fed-batch (Grigs 2021, Bolmanis 2025) and microalgal photobioreactors (Havlik 2022). CHO-specific validation of ASD-N is present in vendor literature and industry conferences but does not appear in the four peer-reviewed papers reviewed here. Anyone evaluating the probe for CHO fed-batch should treat the vendor's CHO datasheet claims as unvalidated by third-party literature and calibrate carefully in-house.
When the literature recommends Optek ASD-N
Recommended for
- High-cell-density microbial fed-batch (P. pastoris, E. coli, yeast) where total biomass tracking below ~90 g/L DCW is the meaningful control variable and 10 mm optical path is a fit [1]
- Microalgal photobioreactors and clear-media processes where transmitted-light NIR at 840–910 nm avoids visible-spectrum interference from chlorophyll pigmentation [2]
- Hybrid modelling and Model Predictive Control installations that need a stable, calibrated real-time biomass signal to close the control loop [3]
- Bubbly, high-agitation processes where backscatter turbidity probes struggle — transmitted-light geometry with a sapphire seal-less window minimises bubble noise and window coating [2]
Caveats / not recommended for
- Very-high-density microbial fed-batch above ~90 g/L DCW with a single-probe expectation — the linear ceiling requires soft-sensor coupling or a shorter optical path [1]
- Processes where viable cell density — not total biomass — is the KPI (late-stage CHO fed-batch, apoptosis-sensitive perfusion) — use a capacitance probe instead [4]
- Unclear or coloured media (lignocellulose hydrolysates, melanin producers, adsorbent-containing systems, solid-matrix immobilised-cell processes) — the classical NIR-absorption failure boundary [4]
- cGMP CHO fed-batch decisions that require published peer-reviewed CHO validation of the ASD-N — that evidence is missing from the four papers reviewed here (present only in vendor literature) [1]
Use cases documented in the literature
Specific deployments reported in the cited studies. Each card corresponds to a real published bioprocess use case.
P. pastoris 0–135 g/L DCW soft-sensor
ASD19-EB-01 with 10 mm OPL benchmarked against off-line DCW in HBcAg / HBsAg P. pastoris fed-batch; 8% NRMSE across the whole range; ~5 g/L RMSE below 50 g/L.
[1]ASD19-N vs RGB sensor vs off-line spectrophotometer
Three-way accuracy comparison in a closed flat-panel photobioreactor; ASD19-N reached R² = 0.97–0.99 vs off-line OD; matches spectrophotometer accuracy in bubbly, pigmented broth.
[2]P. pastoris Model Predictive Control
ASD19-EB-01 anchored a hybrid deep-learning model and Model Predictive Control loop in P. pastoris fed-batch; validated primary sensor for closed-loop biomass control.
[3]NIR absorption vs dielectric spectroscopy
Classical comparison of transmitted-light NIR against dielectric spectroscopy across multiple microorganisms; identified the "unclear media / adsorbent / solid matrix" failure boundary that later ASD-N deployments respect.
[4]Comparing Optek ASD-N against alternatives?
The Sensor Selection Tool takes 6 questions about your scale, modality, vessel, and budget and returns ranked sensor recommendations — capacitance (Aber FUTURA, Hamilton INCYTE), scattered-light turbidity (Hamilton Dencytee), non-invasive shake-flask sensors, and stainless single-use options included.
Open the Sensor Selection ToolUser reviews from bioprocess engineers
Real-world experience from engineers who deployed the Optek-Danulat ASD-N NIR biomass probe. All reviews are moderated before publishing. Share your own below — 2 minutes, anonymous option available.
Frequently asked questions
What does the Optek-Danulat ASD-N biomass probe actually measure?
How accurate is the Optek ASD19-N against offline dry cell weight?
When should I choose ASD12-N, ASD19-N, or ASD25-N?
Does the Optek ASD-N work in single-use bioreactors?
What is the reported linear range and where does accuracy degrade?
How does NIR absorption compare to capacitance and scattered-light biomass probes?
Is the Optek ASD-N autoclavable, CIP/SIP compatible, or both?
What are the reported limitations of the Optek ASD-N in bioreactor use?
References
- Grigs, O., Bolmanis, E., Galvanauskas, V. (2021). Application of In-Situ and Soft-Sensors for Estimation of Recombinant P. pastoris GS115 Biomass Concentration: A Case Analysis of HBcAg (Mut+) and HBsAg (MutS) Production Processes under Varying Conditions. Sensors, 21(4):1268. DOI: 10.3390/s21041268.
- Havlik, I., Beutel, S., Scheper, T., Reardon, K. F. (2022). On-Line Monitoring of Biological Parameters in Microalgal Bioprocesses Using Optical Methods. Energies, 15(3):875. DOI: 10.3390/en15030875.
- Bolmanis, E., Grigs, O., Galvanauskas, V. (2025). Leveraging Historical Process Data for Recombinant P. pastoris Fermentation Hybrid Deep Modeling and Model Predictive Control Development. Fermentation, 11(7):411. DOI: 10.3390/fermentation11070411.
- Kiviharju, K., Salonen, K., Moilanen, U., Meskanen, E., Leisola, M., Eerikäinen, T. (2007). On-line biomass measurements in bioreactor cultivations: comparison study of two on-line probes. Journal of Industrial Microbiology & Biotechnology, 34(8):561–566. DOI: 10.1007/s10295-007-0233-5.