Scientific Solutions

Forensics & Human Identification

Workflow-oriented support for forensic DNA laboratories, human identification, missing-persons programs and related molecular workflows.

Forensics & Human Identification

Coverage

Aventra supports requirement-specific sourcing across the following technology and material areas.

01
Evidence collection & preservation
02
DNA extraction & purification
03
Forensic DNA quantification
04
STR amplification
05
Capillary electrophoresis
06
MPS / NGS for forensic genomics
07
Controls & contamination prevention
08
Automation & workflow accessories
09
Missing-person identification workflows
10
Disaster-victim identification (DVI)
11
Kinship and reference-sample workflows
12
Validation, controls and quality documentation

What we clarify before sourcing

Evidence type and expected DNA quantity
Inhibition and degradation risk
Validated workflow and installed instruments
Sensitivity and mixture complexity
Contamination-control requirements
Documentation and chain-of-custody considerations

Technical Considerations for Forensics & Human Identification Selection

These illustrated steps frame the scientific and workflow decisions that influence forensic and human-identification solution selection.

01 / DEFINE
Illustrative scientific workflow: Define the evidentiary contextDefine the evidentiary context

Clarify the sample type, condition, expected DNA quality, chain-of-custody context and reportable objective.

  • Identify reference, evidentiary or challenging sample types
  • Review contamination-control and traceability requirements
  • State the reporting objective and validation context
02 / SELECT
Illustrative scientific workflow: Select extraction and workflow componentsSelect extraction and workflow components

Align extraction, quantification, amplification, CE or MPS workflow components to the laboratory’s validated approach.

  • Choose methods suitable for inhibition or degradation risk
  • Check compatibility across extraction, quantification and typing steps
  • Review kit and platform continuity for validated workflows
03 / EVALUATE
Illustrative scientific workflow: Evaluate data quality and interpretation needsEvaluate data quality and interpretation needs

Review controls, mixtures, low-template considerations, software environment and defensibility of the analytical workflow.

  • Define controls and data-quality checkpoints
  • Consider mixture interpretation and low-template scenarios
  • Review software, analysis and documentation expectations
04 / PLAN
Illustrative scientific workflow: Plan continuity and defensibilityPlan continuity and defensibility

Account for documentation, consumables, storage, replacement timing and continuity across casework or routine operations.

  • Protect consumable continuity and traceable documentation
  • Plan storage and stability for critical materials
  • Support defensibility through organized procurement records