OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
Ugandan healers near Rwenzori Mountains use 95 plants as medicine
OpenAlex:
Color phenotyping and genome-wide association studies of ...
OpenAlex:
FUNCTIONAL STUDIES ON SIEVE ELEMENT-SPECIFIC PROTEINS
OpenAlex:
Understanding the control of perpetual flowering and cont...
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
Robustness of microbial quantification methods to seawater in marine plastic biodegradation test.
PubMed · 2026-05-20
Researchers tested four methods for counting microbes in seawater and found that manual cell counting and quantitative PCR (a DNA-based technique) were the most reliable and consistent for studying how plastics break down in the ocean.
1
Manual cell counting and quantitative PCR were both repeatable and reproducible in seawater environments.
2
All four methods were evaluated for compatibility with seawater, but only two passed as reliable for biodegradation testing.
3
The study recommends that marine plastic biodegradation tests should always pair results with a carefully vetted microbial quantification method.