Should you automate your entire lab workflow or just sample prep?
Laboratory automation has moved well beyond a luxury for high-volume testing facilities. As analytical demands grow, regulatory requirements tighten, and skilled labor becomes harder to retain, more laboratories are asking a pointed question: should automation cover the entire workflow, or is sample preparation the smarter place to start? The answer depends on factors that are specific to each lab, including throughput targets, contaminant classes, solvent budgets, and risk tolerance around cross-contamination. Understanding where laboratory automation delivers the greatest return helps labs invest with confidence rather than guesswork.
This article walks through the key considerations, from where automation has the most measurable impact to how solvent use and contamination risk should shape the scope of any automation strategy. Whether a lab is analyzing dioxins, PCBs, PFAS, or pesticides, the principles apply broadly across environmental contaminant testing.
Where automation delivers the biggest gains in lab workflows
Automation tends to pay off fastest in the steps that are most repetitive, most error-prone, and most time-consuming when done manually. In environmental contaminant analysis, sample preparation consistently tops that list. Extraction, cleanup, and concentration are labor-intensive tasks that require precise timing, consistent technique, and careful solvent handling. Even a small inconsistency in manual preparation can introduce variability that undermines downstream analytical results.
Solid phase extraction is one area where the efficiency gains are particularly well documented. Automating SPE not only standardizes the extraction process across every sample in a batch but also frees analysts to focus on data review and method development rather than repetitive pipetting. Similarly, automated concentration systems eliminate the variability that comes from manual evaporation, ensuring that every sample reaches the correct final volume before GC injection. When these steps are automated, laboratories typically see improvements in reproducibility, throughput, and analyst capacity simultaneously.
Beyond sample prep, automation of data capture and instrument scheduling can reduce bottlenecks between preparation and analysis. However, these gains are often secondary to what is achieved by first automating the preparation steps themselves. Labs that try to automate everything at once without first stabilizing their sample prep workflows often find that downstream automation amplifies rather than resolves existing inconsistencies.
Full workflow automation vs. sample prep only: key trade-offs
The choice between automating the full analytical workflow and focusing on sample preparation is ultimately a question of where constraints are most acute. Full workflow automation, covering extraction, cleanup, concentration, instrument scheduling, and data processing, offers the highest theoretical throughput and the most consistent output. However, it also requires significant upfront investment, careful integration between instruments and software, and a stable, well-validated method before automation is applied.
Sample prep automation, by contrast, offers a more contained and manageable starting point. The investment is lower, implementation is faster, and the impact on day-to-day operations is immediate and measurable. For laboratories analyzing persistent organic pollutants such as PCBs or PBDEs, where cleanup procedures are complex and solvent-intensive, PBDE analysis automation at the preparation stage alone can dramatically reduce analyst workload and improve data quality without requiring a complete overhaul of the analytical pipeline.
The trade-off with partial automation is that bottlenecks can shift rather than disappear. If sample prep is automated but concentration or instrument loading remains manual, analysts may find themselves waiting on manual steps rather than preparation steps. Mapping the entire workflow before deciding on automation scope helps identify where the true rate-limiting steps are, and whether a targeted or comprehensive approach makes more sense for the lab’s specific situation.
Signs your lab is ready to automate beyond sample prep
Not every laboratory is positioned to benefit from expanding automation beyond sample preparation. Readiness depends on a combination of workflow maturity, method stability, and operational scale. A lab that is still refining its extraction methods or working with a highly variable sample matrix is better served by stabilizing those processes manually before layering automation on top.
However, several indicators suggest a lab may be ready to extend automation further into the workflow. High and consistent sample volumes are the clearest signal. When a laboratory is routinely processing dozens of samples per day across multiple matrices, manual steps between preparation and analysis become a genuine operational constraint. Similarly, when analysts are spending a significant portion of their time on tasks that do not require scientific judgment, such as transferring vials, adjusting instrument queues, or manually recording weights, that time represents recoverable capacity through automation.
Method maturity is equally important. Automation amplifies what already exists in a workflow. If extraction recoveries are consistent, cleanup procedures are well characterized, and instrument performance is stable, adding automation to downstream steps is likely to reinforce that consistency. If any of those elements are still variable, automation may lock in problems rather than solve them. Labs that have already implemented PFAS SPE automation and achieved reliable, validated results are well positioned to evaluate whether further automation of concentration or data handling would add meaningful value.
How solvent use and contamination risk shape your automation strategy
Solvent consumption and cross-contamination risk are two factors that often drive automation decisions as much as throughput does, particularly in laboratories working with trace-level environmental contaminants. In manual workflows, both risks are difficult to control consistently. Analysts may use slightly different solvent volumes across a batch, and shared glassware or equipment surfaces can introduce carry-over between samples, especially when working with ultra-trace analytes like dioxins or PFAS.
Automated systems address both concerns in ways that manual workflows fundamentally cannot. Systems designed for persistent organic pollutant analysis can reduce organic solvent consumption to less than 100 ml per sample without relying on chlorinated solvents such as dichloromethane. This matters not only for analyst safety and environmental compliance but also for operational cost, since solvent procurement, storage, and disposal represent a recurring expense in high-throughput labs.
Cross-contamination risk is particularly relevant when designing an automation strategy for PFAS analysis. PFAS compounds are ubiquitous in laboratory environments, and any contact between samples and surfaces that have not been rigorously characterized for PFAS contamination can compromise results. Fully inert flow paths, Teflon-free system components, and designs that prevent direct contact between samples and system internals are not optional features in this context. They are baseline requirements. When evaluating laboratory automation suppliers, the material specifications of the flow path deserve at least as much scrutiny as throughput capacity or software compatibility.
For laboratories working across multiple contaminant classes, solvent compatibility and contamination control should be evaluated holistically. A system that works well for pesticide extraction may not meet the requirements for PFAS or dioxin analysis. Choosing automation platforms that are specifically validated for the target analytes and matrices reduces the risk of discovering incompatibilities after implementation.
Choosing the right automation scope for your lab’s needs
Defining the right scope for laboratory automation starts with an honest assessment of where the workflow is working well and where it is not. A useful starting point is to map each step from sample receipt to the final reported result, noting which steps are manual, how long each takes, where errors most commonly occur, and which steps require the most analyst attention. This exercise often reveals that two or three steps account for the majority of variability and delay.
From there, the decision about scope becomes more concrete. Labs with high volumes of water samples for PFAS analysis may find that automating large-volume extraction with a multi-channel system delivers the fastest return. Labs focused on food and feed matrices for dioxin and PCB analysis may prioritize automated cleanup systems that can handle complex lipid-rich extracts without manual intervention. Labs processing solid samples such as soil or sludge may benefit most from automating the extraction step itself, using systems based on established extraction principles that combine speed with solvent efficiency.
Budget and staffing are practical constraints that must be factored in alongside technical considerations. Phased implementation, starting with the highest-impact step and expanding over time, is often more sustainable than attempting to automate everything simultaneously. It also allows analysts to build familiarity with automated systems gradually, which tends to produce better outcomes than a rapid, lab-wide transition. Working with an experienced laboratory automation supplier who can assess the specific workflow and recommend appropriately scoped solutions is one of the most effective ways to avoid over-investing in automation that does not match the lab’s actual needs.
How DSP-Systems helps with laboratory automation scope decisions
DSP-Systems works with environmental and food safety laboratories across Europe and North America to identify the right level of automation for their specific workflows. Rather than applying a one-size-fits-all approach, the offering spans targeted and comprehensive automation solutions built around validated performance for contaminant classes including dioxins, PCBs, PFAS, PBDEs, and pesticides.
- GO-EHT automated cleanup systems for purification of persistent organic pollutants across food, feed, soil, water, and air matrices, using less than 100 ml of solvent per sample and eliminating cross-contamination through a no-contact sample design
- SPE2000 and AutoEmpore platforms for high-throughput PFAS SPE automation, with fully inert, Teflon-free flow paths and support for cartridges and disk formats across a wide range of sample volumes
- SER-158 solvent extractor for efficient extraction of solid and semi-solid samples, fully compatible with GO-EHT cleanup systems for an integrated preparation workflow
- Concentration and evaporation systems including the CentriVap, MultiVap 64, and MVP Vacuum Concentrators for reliable, reproducible sample concentration ahead of instrument analysis
- Method development support, pre-installation programming, and application testing aligned with EPA and CEN standards
Whether a lab is taking its first step into automation or evaluating how to extend an existing system, DSP-Systems provides the technical expertise to match the solution to the workflow. Contact DSP-Systems to discuss the right automation scope for your laboratory.