scholarly journals Prioritizing Suitable Quality Assurance and Control Standards to Reduce Laboratory Airborne Microfibre Contamination in Sediment Samples

Environments ◽  
2021 ◽  
Vol 8 (9) ◽  
pp. 89
Author(s):  
Sara L. Belontz ◽  
Patricia L. Corcoran

The ubiquity and distribution of microplastics, particularly microfibres, in outdoor and indoor environments makes it challenging when assessing and controlling background contamination, as atmospheric particles can be unintentionally introduced into a sample during laboratory analysis. As such, an intra-laboratory examination and literature review was completed to quantify background contamination in sediment samples, in addition to comparing reported quality assurance and control (QA/QC) protocols in 50 studies examining microplastics in sediment from 2010 to 2021. The intra-lab analysis prioritizes negative controls, placing procedural blanks in various working labs designed to prepare, process, and microscopically analyse microplastics in sediment. All four labs are subject to microfibre contamination; however, following the addition of alternative clean-air devices (microscope enclosure and HEPA air purifiers), contamination decreased by 66% in laboratory B, and 70% in laboratory C. A review of microplastic studies suggests that 82% are not including or reporting alternative clean-air devices in their QA/QC approaches. These studies are found to be at greater risk of secondary contamination, as 72% of them ranked as medium to high contamination risk. It is imperative that laboratories incorporate matrix-specific QA/QC approaches to minimize false positives and improve transparency and harmonization across studies.

2021 ◽  
Author(s):  
Jaqueline Driemeyer Correia Horvath ◽  
Marina Bessel ◽  
Natalia Luiza Kops ◽  
Flávia Moreno Alves Souza ◽  
Gerson Fernando Mendes Pereira ◽  
...  

BACKGROUND The credibility of a study and its internal and external validity depend crucially on the quality of the data produced. Quality control aims to monitor sampling errors and measurements during the execution of a study and is based mainly on two pillars: planning and standardization of procedures. OBJECTIVE The present article aimed to describe the stages of quality control in the POP-Brazil study and to present an analysis of the quality indicators. METHODS Quality assurance and control included several phases and processes that were initiated with the planning of the study and continued through the development of the project; thus, all centers were trained in loco. RESULTS The data were through a structured questionnaire and collection of biological samples, both performed by more than 250 trained and certified health professionals. Furthermore, to correct possible inadequacies, all 119 centers (public health units) received at least one monitoring visit, which evaluated the professionals' performance and the process of completing the online data platform. The data were monitored daily and were audited through the double entry of data, performed by the central team. The reliability of data was analyzed through the test-retest method, comparing data from the online platform and a second application of the interview, and conducted through telephone, also by the central team. The agreement between the test and retest was considered good (kappa between 0.59 and 0.74). Large multicenter clinical trials are the basis of medical evidence-based and health-based prevention, so their design, logistics, and quality processes should always be carefully considered. CONCLUSIONS This article presents the processes and quality indicators in the POP-Brazil study that allow other studies to generate reliable data.


Sign in / Sign up

Export Citation Format

Share Document