Results
(9 Answers)

Most experts strongly agree that field and procedural blanks are necessary for every sampling, with 8 out of 9 experts answering "Yes." Experts cite several key reasons:

  • Sampling conditions, weather, and airborne contamination can vary with each sampling (Expert 3)
  • Blanks help identify potential contamination during sampling, transport, storage, and laboratory analysis (Expert 2)
  • Microplastic analysis is particularly vulnerable to environmental contamination (Experts 1, 7)
  • As microplastic analytical chemistry is still developing, comprehensive quality controls are essential (Expert 4)

The one dissenting expert (Expert 5) believes that multiple samples taken at the same place and time only require one field blank, suggesting a more pragmatic approach.

Expert 9 offers a middle ground, recommending blanks for every batch of samples rather than every individual sample, suggesting that approximately 10% of analyses should comprise quality control checks.

Summary Generated by AI

Answer Explanations

  • Yes (please explain)
    Expert 3
    Ideally, yes. Sampling conditions, weather, airborne contamination, trip cross-contamination, all of these could very with each sampling, and such variation needs to be accounted for. 
  • Yes (please explain)
    Expert 9
    To clarify my response, I would recommend that these blank samples should be conducted for every batch of samples collected. The draft review recommends 10% of analyses should comprise such QC check samples (specifically blank and recovery checks). I think this is a reasonable and pragmatic approach.
  • Yes (please explain)
    Expert 2
    Yes, in most of the cases, especially in the case of  environmental sampling, pharmaceuticals, or analytical chemistry, both a field blank and a procedural (or lab) blank are necessary for each sampling event. These controls help ensure data integrity by identifying potential sources of contamination. A field blank is used to detect contamination that may occur during sampling, transport, or storage in the field, while a procedural blank is designed to reveal any contamination introduced during sample preparation and analysis in the laboratory. However, whether a blank is needed for every individual sample depends on the specific objectives of the study and the level of quality assurance required. 
  • Yes (please explain)
    Expert 4
    Especially as the analytical chemistry of MNP in most matrices is still in what can be considered its infancy, it is needed to include all kinds of blanks for every series of samples. Most likely, less blanks are needed when more information is obtained on the performance of such blanks over time.
  • Yes (please explain)
    Expert 1
    One of the major sources of error in the analysis of MNPs is contamination from the environment.  Field and procedural blanks help account for such contamination in the field or lab environment.  
  • No
    Expert 5
    multiple samples taken at the same place and time only need one field blank.
  • Yes (please explain)
    Expert 6
    Yes, it is necessary and useful to correct for human error and contamination. 
  • Yes (please explain)
    Expert 8
    absolutely, each field sampling campaign (if not day in the field) needs a field blank.  The lab or procedural blank is needed one for each sample set that goes through the same procedure.
  • Yes (please explain)
    Expert 7
    Field environment changes all the time and MNP can be introduced from ventilation and other sources and they are not constant. 
    Lab based contamination can happen with time also. 

0
Expert 4
07/31/2025 03:00
I agree on the general opinion that there is a need for field and procedural blanks for every sampling.
0
Expert 2
07/31/2025 07:04
 In my opinion it is essential to include both a field blank and a procedural (or laboratory) blank for each sampling event. Including both types of blanks is a critical component of quality assurance, ensuring the integrity and reliability of the analytical results. 
0
Expert 5
07/31/2025 11:50
The experts proffer some good considerations. The author can help the readers' analytical thinking by incorporation their comments, highlighting statistical sampling that incorporates consideration for the possible variability of matrix and analytes from various sampling locations and different times.
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