What are the most common barriers to adopting laboratory automation?
Laboratory automation has moved from a competitive advantage to a practical necessity for many analytical labs working with persistent organic pollutants, PFAS, pesticides, and other complex contaminants. Yet despite the clear benefits, adoption remains uneven. Many laboratories that could benefit from automated sample preparation systems continue to rely on largely manual workflows, not because the technology is unavailable, but because the path to adoption is rarely straightforward. Understanding what holds laboratories back is the first step toward making informed decisions about modernizing their operations.
From budget pressures to accreditation concerns, the barriers to laboratory automation are varied and often interconnected. This article examines the most common obstacles that laboratories encounter, and what can realistically be done to overcome them.
High upfront costs and budget constraints
Cost is consistently the first concern raised when laboratory managers evaluate automation. Automated sample preparation platforms represent a significant capital investment, and for smaller or mid-sized laboratories, justifying that expenditure requires a clear return-on-investment case that can be difficult to build without direct experience with the technology.
The upfront cost, however, rarely tells the full financial story. Manual sample preparation is labor-intensive, prone to variability, and generates substantial ongoing costs in analyst time, solvent consumption, and waste disposal. Automated systems designed for PFAS SPE automation or PBDE analysis automation, for example, can dramatically reduce solvent use per sample, sometimes to well below 100 mL, which translates directly into lower reagent costs and reduced waste handling expenses over time. When total cost of ownership is calculated across a realistic operational period, the economics often shift considerably in favor of automation. The challenge is that many laboratory budgets are structured around annual cycles, making multi-year payback calculations harder to present to decision-makers.
Resistance to change within laboratory teams
Even when the financial case for automation is sound, laboratories frequently encounter internal resistance. Experienced analysts who have developed expertise in manual methods may view automation with skepticism, perceiving it as a threat to their professional role or as an implicit criticism of their current work quality.
This resistance is understandable and should not be dismissed. Manual sample preparation requires genuine skill, and analysts who have mastered it often have well-founded concerns about whether automated systems can replicate the nuance of their techniques. In practice, however, automation does not eliminate the need for skilled analysts. It shifts their focus from repetitive procedural tasks toward higher-value activities such as data interpretation, method optimization, and quality oversight. Laboratories that communicate this distinction clearly during the evaluation process tend to encounter far less internal friction, and the transition tends to go more smoothly when analysts are involved in the selection and testing process from the outset.
Integration challenges with existing workflows and instruments
A laboratory’s existing infrastructure rarely disappears the moment new equipment arrives. Automated systems must fit into established workflows, communicate with existing instruments, and accommodate the sample matrices and volumes that the laboratory already handles routinely.
Integration complexity varies considerably depending on the scope of automation being introduced. A standalone automated solid phase extraction system, for instance, can often be incorporated without major disruption to upstream or downstream processes. More comprehensive platforms that link extraction, purification, and concentration steps require more careful workflow mapping before installation. Compatibility with existing gas chromatography or mass spectrometry systems, LIMS software, and data management tools must be assessed systematically. Laboratories that invest time in pre-installation workflow analysis tend to experience fewer operational disruptions and faster time-to-productivity after deployment.
Sample matrix diversity adds another layer of complexity. A laboratory analyzing food, feed, soil, and water samples simultaneously needs systems flexible enough to handle this range without requiring constant reconfiguration. Modern laboratory automation supplier offerings increasingly address this by providing multi-matrix compatible platforms with modular configurations, but matching system capabilities to specific laboratory needs still requires careful evaluation.
How vendor support and training close the knowledge gap
Access to reliable vendor support is one of the most underestimated factors in successful laboratory automation adoption. Even well-designed systems require application-specific configuration, and laboratories without prior automation experience face a steep learning curve that technical documentation alone cannot address.
Effective vendor support goes well beyond installation. It includes application training tailored to the specific contaminants and matrices a laboratory works with, assistance with method development and validation, and ongoing troubleshooting as the laboratory encounters real-world analytical challenges. For laboratories working toward or maintaining ISO 17025 accreditation, the ability to access expert guidance during method validation is particularly valuable, since any automated method must meet the same performance criteria as the manual procedure it replaces.
Training programs that involve hands-on operation rather than purely theoretical instruction tend to produce faster competency gains. When analysts work directly with the system on their own sample types during training, they build confidence more quickly and are better positioned to identify and resolve issues independently once the system is in routine use. The quality and depth of vendor support is therefore not just a service consideration but a direct factor in how quickly a laboratory achieves a return on its automation investment.
Regulatory and accreditation concerns around automated methods
Regulatory compliance is a non-negotiable consideration for any laboratory operating under accreditation or producing results for regulatory submissions. Introducing automated sample preparation raises legitimate questions about whether automated methods will satisfy the performance criteria set by standards such as EPA 1613B, EPA 1668A, or relevant CEN methods.
The good news is that automated methods, when properly validated, can meet and in many cases exceed the performance benchmarks of manual procedures. Published literature from laboratories that have validated automated purification systems for dioxins, PCBs, and related compounds demonstrates that automated approaches are capable of achieving the recoveries, repeatability, and specificity required by regulatory frameworks. The validation process itself, however, requires careful planning, appropriate reference materials, and a thorough understanding of the regulatory requirements applicable to the laboratory’s specific analytical scope.
Laboratories that approach automated method validation with the same rigor they apply to manual method validation generally find the process manageable. Working with vendors who have direct experience supporting regulatory validation, and who can provide application notes and reference data relevant to the target analytes, significantly reduces the time and uncertainty involved.
Environmental and safety considerations that accelerate adoption
While cost and compliance tend to dominate the adoption conversation, environmental and safety considerations are increasingly becoming drivers rather than barriers. Regulatory pressure to reduce hazardous solvent use in laboratories is growing across Europe and North America, and laboratories that continue to rely on large volumes of chlorinated solvents face increasing scrutiny from both regulators and institutional sustainability programs.
Automated sample preparation systems that operate without dichloromethane and limit total solvent consumption to under 100 mL per sample offer a meaningful environmental benefit that aligns with broader sustainability objectives. Reduced solvent use also directly improves laboratory safety by lowering analyst exposure to volatile organic compounds, reducing the volume of hazardous waste requiring disposal, and decreasing the risk associated with handling and storing large quantities of flammable solvents.
In this sense, environmental and safety considerations are increasingly reframing the automation question. Rather than asking whether the laboratory can afford to automate, many laboratory managers are beginning to ask whether they can afford not to, particularly as sustainability reporting requirements and occupational health standards continue to tighten.
How DSP-Systems helps laboratories overcome automation barriers
DSP-Systems works directly with analytical laboratories across Europe and North America to address the full range of barriers that slow or prevent automation adoption. As a specialist laboratory automation supplier, DSP-Systems offers practical support at every stage of the process, from initial system selection through to post-installation validation and ongoing technical assistance.
- Purpose-built systems for environmental contaminant analysis, including PFAS SPE automation with the SPE2000 and AutoEmpore, and PBDE analysis automation via the GO-EHT purification platform
- Minimal solvent consumption across all systems, with no dichloromethane required and total solvent use kept below 100 mL per sample
- Elimination of cross-contamination risk, since samples do not come into direct contact with the system hardware
- Pre-installation programming and application testing configured to EPA and CEN standards, reducing validation burden for accredited laboratories
- Method development and validation support for dioxins, PCBs, PBDEs, PFAS, pesticides, PAHs, and more
- Training courses and turn-key lab setups that close the knowledge gap and accelerate time-to-routine use
For laboratories ready to move beyond manual sample preparation, DSP-Systems provides the expertise and technology to make that transition with confidence. Contact DSP-Systems to discuss your laboratory’s specific needs and find the right automation solution.