What is the difference between high-throughput and high-mix automation?

What is the difference between high-throughput and high-mix automation?

High-throughput automation and high-mix automation are two distinct laboratory strategies that differ primarily in their focus: high-throughput automation maximizes the number of identical or similar samples processed per run, while high-mix automation prioritizes flexibility across different sample types, matrices, and analytical methods. The right choice depends on the nature of your workload, specifically, whether your laboratory handles large volumes of standardized samples or a diverse range of matrices and contaminants. The sections below unpack each approach in detail and explain how to evaluate which strategy fits your operation.

Which type of automation fits your laboratory’s sample volume?

The type of automation that fits your laboratory depends directly on your sample volume patterns. If your lab processes large batches of similar samples routinely, high-throughput automation is the better match. If your daily intake varies significantly in sample type, matrix, or target analyte, high-mix automation provides the flexibility your workflows require. Most real-world laboratories fall somewhere between these two extremes.

Laboratories running environmental monitoring programs, food safety surveillance, or contract testing at scale typically generate consistent, high-volume workloads. In these settings, a system designed to process dozens or hundreds of samples per run delivers the greatest return. Systems such as the SPE2000, which can handle up to 80 samples in a single run across ten consecutive sequences, are built precisely for this kind of demand.

By contrast, a laboratory supporting method development, multi-residue screening, or diverse client submissions rarely sees the same sample type twice in the same week. Here, the ability to switch quickly between cartridge formats, sample volumes, and extraction protocols matters more than raw throughput capacity. Choosing the wrong model for your actual workload results in either idle capacity or constant workarounds, both of which reduce efficiency rather than improve it.

What are the key technical differences between high-throughput and high-mix automation?

The key technical differences between high-throughput and high-mix automation lie in system architecture, configuration flexibility, and the degree to which the platform is optimized for speed versus adaptability. High-throughput systems are engineered for parallel processing of large sample batches with minimal reconfiguration, while high-mix systems are built around modular or multi-format designs that accommodate rapid method changes.

High-throughput system characteristics

High-throughput automated sample preparation platforms typically feature fixed or semi-fixed configurations that maximize the number of samples processed simultaneously. They rely on parallel processing channels, automated online filtration, and standardized cartridge or disk formats. The SPE2000, for example, supports 1 mL, 3 mL, 6 mL, and 12 mL cartridges and handles sample volumes from 10 mL up to 1,000 mL, with fraction collection optimized for consistent, repeatable outputs across large batches. Similarly, the AutoEmpore offers 3-, 6-, 9-, or 12-channel configurations running in parallel or series mode to match high-volume water sample extraction workflows.

High-mix system characteristics

High-mix automation platforms prioritize reconfigurability. They support a broader range of sample matrices, cartridge formats, and elution protocols without requiring significant hardware changes between runs. Fully automated cleanup systems designed for persistent organic pollutants, such as dioxins, PCBs, PBDEs, and PCNs, are a clear example: they must accommodate food, feed, soil, sewage, sludge, water, and air matrices within the same platform. The technical architecture of these systems centers on closed-loop solvent handling, automated column switching, and programmable method libraries rather than maximizing parallel channel count.

How does high-mix automation handle different matrices and contaminants?

High-mix automation handles different matrices and contaminants by using programmable, multi-method platforms that can switch extraction and purification protocols without manual reconfiguration. The system stores method parameters digitally and applies the appropriate sequence based on the sample type, allowing a single instrument to process soil, food, water, and biological matrices within the same working day.

This adaptability is especially important for laboratories analyzing persistent organic pollutants, where the matrix itself significantly influences extraction efficiency and cleanup requirements. A food sample containing high lipid content demands a different purification approach than a water sample or an air filter extract. High-mix systems address this by automating column selection, solvent sequencing, and flow rates according to the method assigned to each sample.

One important technical advantage of advanced high-mix platforms is the elimination of cross-contamination risk. When samples do not come into direct contact with the instrument’s internal components, there is no carryover between a heavily contaminated soil sample and a food sample processed in the same sequence. This design feature is critical when the same system must handle matrices with very different contamination profiles and regulatory thresholds.

High-mix automation also supports multi-contaminant workflows. A single automated run can target dioxins, PCBs, PFAS, pesticides, and PAHs across different sample types when the system is configured with the appropriate analytical standards and cleanup protocols for each analyte group.

When does high-throughput automation make more sense than high-mix?

High-throughput automation makes more sense than high-mix when your laboratory processes large numbers of samples with the same or very similar analytical requirements on a routine basis. If your primary workload consists of standardized monitoring programs, regulatory compliance testing, or contract analysis for a defined set of analytes and matrices, the speed and capacity advantages of a high-throughput system outweigh the flexibility benefits of a high-mix approach.

Specific scenarios where high-throughput automation is the stronger choice include:

  • National or regional food safety monitoring programs requiring hundreds of samples per week analyzed for the same set of contaminants
  • Environmental surveillance contracts with fixed matrices such as drinking water or surface water tested for PFAS, pesticides, or hormones
  • Contract laboratories with dedicated analytical lines for a single compound class, such as a dioxin-only or PFAS-only service offering
  • Laboratories where turnaround time is the primary commercial differentiator and sample types are predictable and consistent

In these contexts, the ability to run 80 samples in a single unattended sequence, with automatic online filtration and minimal operator intervention, directly reduces cost per sample and increases reporting capacity. High-throughput systems also tend to deliver stronger reproducibility across large batches because the method is fixed and the system executes it identically every time.

Can a laboratory combine high-throughput and high-mix automation?

Yes, a laboratory can combine high-throughput and high-mix automation, and in many modern analytical laboratories this hybrid approach is the most practical solution. Rather than choosing a single strategy, labs can deploy dedicated high-throughput platforms for their routine, high-volume workstreams while using flexible high-mix systems for method development, diverse client requests, or specialized matrices that require individualized treatment.

This combination works well in practice because the two system types are not mutually exclusive, they address different parts of the laboratory’s workload. A contract testing lab might run a high-throughput SPE system for large water sample batches while simultaneously using a fully automated cleanup platform for dioxin and PCB analysis across food, feed, and soil matrices submitted by smaller clients with varied requirements.

Integrating both strategies also provides operational resilience. If a high-throughput system requires maintenance or calibration, the flexible platform can absorb some of the workload temporarily, reducing the risk of reporting delays. Conversely, when a surge in standardized samples arrives, the high-throughput system handles the volume without disrupting the more complex, multi-matrix workflows running in parallel.

The key to making a hybrid approach work is clear workflow segmentation: each system should be assigned the sample types and methods it is best suited for, with defined handoff points between platforms where samples move from extraction to cleanup to concentration.

What should laboratories evaluate before choosing an automation strategy?

Before choosing an automation strategy, laboratories should evaluate their sample volume patterns, matrix diversity, target analytes, regulatory obligations, and available laboratory footprint. No single factor determines the right choice, the decision requires an honest assessment of current workload characteristics and realistic projections of how those characteristics might change over the next three to five years.

Key evaluation criteria include:

  • Sample volume and consistency: How many samples does the lab process per week, and how similar are they? High variability favors high-mix; high volume with low variability favors high-throughput.
  • Matrix range: Does the laboratory analyze a single matrix type or a broad range including food, soil, water, air, and biological materials? Broader matrix diversity requires greater system flexibility.
  • Analyte scope: Laboratories targeting a single compound class can optimize a dedicated high-throughput line. Multi-residue or multi-contaminant labs benefit from configurable platforms.
  • Regulatory framework: Accredited laboratories operating under ISO 17025 must validate methods for each matrix and analyte combination. Systems that support method libraries and documented workflows simplify this process.
  • Solvent and sustainability requirements: Laboratories under pressure to reduce organic solvent consumption should prioritize systems engineered for minimal solvent use, ideally under 100 mL per sample and without dichloromethane.
  • Operator capacity and training: Fully automated systems reduce the burden on trained analysts, but the degree of automation varies significantly between platforms. Assess how much operator intervention each system requires per run.
  • Future scalability: A system that meets today’s throughput needs but cannot scale as sample volumes grow will require replacement sooner than expected.

Visiting reference laboratories that operate similar systems and requesting application-specific demonstrations with your own sample types are among the most reliable ways to validate a purchasing decision before committing.

How DSP-Systems helps laboratories choose the right automation strategy

DSP-Systems works directly with analytical laboratories across Europe and North America to match their specific workload requirements to the right automated sample preparation platform. Whether a laboratory needs high-throughput capacity, high-mix flexibility, or a combination of both, DSP-Systems offers:

  • A portfolio of proven systems including the SPE2000 for high-throughput SPE automation and fully automated cleanup platforms for dioxins, PCBs, PFAS, and pesticides across diverse matrices
  • Pre-installation programming and testing of SPE applications configured to EPA and CEN standards
  • Method development and validation support for laboratories building or expanding their analytical capabilities
  • Turnkey laboratory setups and ongoing technical support to ensure systems perform from day one
  • Access to multi-channel extraction systems suited for large-volume water samples and emerging contaminant analysis

If you are evaluating your laboratory’s automation strategy and want expert guidance on which platform best fits your sample types, throughput targets, and regulatory requirements, contact DSP-Systems directly to discuss your specific situation.

Veelgestelde vragen

How long does it typically take to validate a new method when switching between sample matrices on a high-mix automation platform?

Validation timelines vary depending on the complexity of the matrix and the regulatory framework in place, but high-mix platforms with built-in method libraries significantly reduce the effort involved. Because the system stores and reapplies validated parameters digitally, laboratories operating under ISO 17025 can often reuse large portions of an existing validation when extending a method to a new matrix. In practice, transitioning from one matrix to another on a well-configured high-mix system can take days rather than weeks, compared to manual method transfers that may require months of re-optimization.

What are the most common mistakes laboratories make when selecting a laboratory automation strategy?

The most common mistake is evaluating automation based on current workload alone, without accounting for how sample volumes and matrix diversity are likely to change over the next three to five years. A second frequent error is prioritizing upfront cost over total cost of ownership, which should include solvent consumption, operator time, maintenance, and the cost of workarounds when a system is not well matched to the actual workload. Laboratories also sometimes underestimate the importance of cross-contamination control, particularly when the same platform will process samples with very different contamination profiles and regulatory thresholds.

Can high-throughput automated SPE systems handle emerging contaminants like PFAS, or are they limited to legacy analytes?

Modern high-throughput SPE systems are fully capable of handling emerging contaminants including PFAS, provided the system supports the appropriate cartridge chemistries and sample volumes required for these analytes. PFAS analysis in water matrices, for example, often requires processing large sample volumes of 500 mL to 1,000 mL, which systems like the SPE2000 are specifically designed to accommodate. The key is ensuring that the cartridge format, elution solvent, and fraction collection parameters are configured according to validated methods such as EPA 533 or EPA 537.1 before the system is deployed for routine use.

How much operator involvement is typically required during an automated high-throughput run, and what tasks still need to be done manually?

During an unattended high-throughput run, operator involvement is minimal and is generally limited to loading samples, cartridges, and solvents at the start of the sequence and collecting fractions or eluates at the end. Tasks such as online filtration, conditioning, loading, washing, and elution are executed automatically without intervention. Manual steps that typically remain include initial sample preparation such as weighing, dilution, or pH adjustment before loading, as well as final concentration or evaporation steps downstream if these are not integrated into the automated workflow.

What should a laboratory do if its workload is genuinely unpredictable and does not fit neatly into either high-throughput or high-mix categories?

Laboratories with genuinely unpredictable or rapidly evolving workloads should prioritize flexibility above all other criteria and lean toward a high-mix platform as their primary system. A configurable platform with programmable method libraries allows the lab to respond to new client requirements, regulatory changes, or method development projects without hardware modifications. If budget and footprint allow, adding a dedicated high-throughput module later for any workstreams that stabilize into routine, high-volume patterns is a practical and scalable approach that avoids locking the laboratory into a single strategy prematurely.

Are there solvent reduction or sustainability benefits specific to automated sample preparation compared to manual SPE workflows?

Yes, automated sample preparation systems consistently use less solvent per sample than manual workflows because the system delivers precise, programmable volumes without the over-dispensing that is common in manual handling. Advanced platforms are engineered to operate well below 100 mL of organic solvent per sample and are designed to eliminate the use of high-toxicity solvents such as dichloromethane where alternative chemistries are available. Beyond solvent volume, automation also reduces solvent waste from failed or repeated manual extractions, which contributes meaningfully to a laboratory’s overall sustainability profile and lowers disposal costs.

How should a laboratory approach requesting a demonstration or trial before committing to an automation platform?

The most effective approach is to bring your own representative samples to any demonstration rather than relying solely on the vendor’s reference samples, as real-world performance on your specific matrices is the most reliable indicator of system suitability. Request that the demonstration include the full sample preparation workflow from loading through elution and, where possible, through to instrumental analysis so you can evaluate recovery rates and reproducibility directly. It is also worth asking to visit a reference laboratory already operating the system under conditions similar to your own, since peer feedback from working analysts provides practical insights that vendor demonstrations alone cannot replicate.

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