Stay in control from samples to results
Our environmental chemistry services team will help you navigate complex analytical requirements to reach your goals.
Let us be your navigator
Tell us where you need to go. What decisions will the data support? How will it be used?
Our chemists combine technical expertise with real-world perspective to deliver reliable data and insights — helping you identify risks early and keep projects moving forward.
Our independent third-party validation helps you develop a plan to ensure:
- Results are usable and defensible for your intended purpose
- Sampling approaches, locations, and methods align with your project objectives
- Use of the right methods and laboratories
- Assessment of data accuracy, precision, usability, and defensibility
ddms’ experienced chemists partner with you to develop practical, defensible plans that deliver usable data from early planning through final data usability.
What Environmental Chemistry Services offers
ddms’ team of experienced chemists will guide you through developing a plan to obtain usable data for every phase of your program, from project planning to data usability.
3rd Party Validation Recalculations
Planningddms approaches level 4 validations, as a defining element of its role as an independent third-party validator.
Purpose-Driven Revisions
QAPP/SAP Updatesddms approaches Quality Assurance Project Plan (QAPP) and Sampling and Analysis plans (SAP) updates as more than administrative exercises — each revision is viewed as a Quality Assurance milestone.
Contextual Validation
Planningddms tailors its validation approach to the analytical and regulatory complexities required.
Analytical and Regulatory Insight
QAPP/SAP Updatesddms integrates both laboratory and field perspectives when developing or updating QAPPs and SAPs, ensuring that requirements for sample collection, handling, and analytical performance are consistent and achievable.
Efficiency and Clarity
PlanningOur philosophy at ddms centers around practical validation — balancing thoroughness with efficiency and ensuring chemists understand the intent of each validation check rather than treating validation as a checklist exercise.
Collaborative and Transparent Process
QAPP/SAP Updatesddms prioritizes clear communication and full traceability throughout every stage. Every modification — from method references to Data Quality Objectives (DQO) adjustments — is documented, with rationale.
Value Added Solutions
Assist labs with accreditation preparation: Guidance and hands-on support to laboratories preparing for accreditation (e.g., DoD ELAP, NELAP, state ELAPs).
Litigation support: Technical expertise and defensible data analysis in support of environmental litigation, regulatory disputes, and cost recovery cases.
Value Added Solutions
Forensics: Application of chemical fingerprinting and forensic techniques to determine contaminant sources, fate, and transport. Includes advanced data interpretation and statistical evaluation.
Implementation: Integration of validated data into client systems and workflows, ensuring usability for project decisions, reporting, and long-term data management.
Value Added Solutions
Ongoing Performance Evaluation (PE) Programs: Management of long-term PE sample programs that provide continuous monitoring of laboratory and field performance. Involves design, administration, and review of PE samples inserted at regular intervals
Laboratory: Evaluation of laboratory operations, quality systems, and deliverables to confirm compliance with project requirements and regulatory standards.
Field Sampling: Independent oversight and review of field sampling activities to ensure that procedures are followed correctly, samples are collected representatively, and documentation is complete. Includes pre-field sample planning, onsite observation, and post-sampling audits and reporting.
Environmental Chemistry Resources
The Challenge of ‘Non-Detects’ – Interpreting and Validating Low-level PFAS Data
A PFAS “non-detect” isn’t the same as zero. ddms Senior Environmental Chemist Virginia Clauser explains why low-level results need validation before decisions are made.