0
Article Tier 2 Nanoplastics Policy & Risk Sign in to save

Contamination control in micro- and nanoplastics research: a diagnostic framework for reproducible analysis

AI summary Read the abstract

Researchers developed a Contamination Control Scorecard (CCS) — a practical diagnostic tool that helps microplastic scientists identify where contamination enters their experiments, assess lab practices, and improve reporting transparency. Controlling contamination is a fundamental challenge in the field, and standardized frameworks like this are essential for producing reproducible, trustworthy results.

The Contamination Control Scorecard (CCS) diagnoses contamination pathways, laboratory practices, and reporting transparency to strengthen reproducibility in micro- and nanoplastics research.

More Papers Like This

Article Tier 2

Contamination Control Scorecard (CCS): Scoring Template and Calculation Tool for Micro- and Nanoplastics Research

AI summary Read the abstract

Researchers developed the Contamination Control Scorecard (CCS), a standardized diagnostic framework and spreadsheet tool that enables micro- and nanoplastics researchers to calculate Process Control Scores and Transparency Scores to systematically document contamination-control practices and identify workflow vulnerability points.

Article Tier 2

Contamination Control Scorecard (CCS): Scoring Template and Calculation Tool for Micro- and Nanoplastics Research

AI summary Read the abstract

Researchers developed the Contamination Control Scorecard (CCS), a standardized diagnostic framework and spreadsheet tool that enables micro- and nanoplastics researchers to calculate Process Control Scores and Transparency Scores to systematically document contamination-control practices and identify workflow vulnerability points.

Article Tier 2

Quantitative assessment of visual microscopy as a tool for microplastic research: Recommendations for improving methods and reporting

AI summary Read the abstract

Researchers conducted a multi-laboratory study across six countries to assess how accurately visual microscopy identifies microplastics in water samples. They found significant variability between laboratories in particle counts, size measurements, and material identification, with accuracy declining for smaller and transparent particles. The study recommends improved standardization and quality control measures to make microscopy a more reliable tool in microplastic research.

Article Tier 2

A proposed nomenclature for microplastic contaminants

AI summary Read the abstract

Researchers propose a standardized naming system for microplastic contaminants to improve consistency across scientific studies. Clear, agreed-upon definitions are essential for comparing data across labs and regions, which is critical for understanding the true scope of microplastic pollution.

Article Tier 2

How do you study microplastics when they’re everywhere?

AI summary Read the abstract

Researchers investigating microplastic contamination face a fundamental methodological challenge: the very gloves, water, and lab reagents used to prepare samples can themselves introduce microplastics, while the field still lacks standardized analytical protocols—making it difficult to generate the robust, reproducible exposure data needed to assess human and ecosystem risk.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper