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Ice-core samples were melted according to strict protocols [21] to minimize sample contamination.
In future work, potential contaminants will be investigated using the same analysis flow developed in this study to minimize sample contamination during the optimized second examination.
Through the discussed analyses, the flow of the sequential analysis was constructed using FT-IR, ToF-SIMS, NanoSIMS, Raman spectroscopy, XANES and TEM/STEM to minimize sample contamination during analysis (Table 3).
Teats were scrubbed with alcohol wipes (70%; Medline, Mundelein, IL, USA) and gloves were worn to minimize sample contamination.
To minimize sample contamination with broken plasma membrane or ER (endoplasmic reticulum) [ 21], a discontinuous Percoll gradient was used to further fractionate the isolated mitochondria for lipid analysis.
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These protocols were highly efficient for detecting CBSVs compared to the existing methods and have great potential to minimize sample handling and contamination.
Through examination of the carbonaceous materials, the appropriate analytical processes for sample transportation and handling were optimized to minimize sample damage and terrestrial contamination.
The method also used a disposable CO2 gas-transfer system to minimize sample-to-sample contamination.
Thus, we took great efforts to minimize sample contact with any surface other than clean glass and conducted sample collection in a way to minimize cross-contamination, as described above.
To minimize the sample contamination and sample loss we have designed a fraction collector that connects a GC and an elemental analyzer (EA) directly.
Additionally, by using a procedure that minimizes sample loss and contamination, we were able to achieve a greater degree of validation compared to conventional procedures, as judged by the detection of the corresponding protein-encoding transcripts in whole blastocysts.
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minimize sample degradation
reduce sample contamination
minimize pollen contamination
minimize sample set
minimize sample variance
minimize sample heterogeneity
minimize sample consumption
minimize sample charging
minimize sample carry-over
minimize sample handling
minimize sample variability
minimize sample contact
minimize sample variation
minimize cross contamination
minimize sample identification
minimize sample loss
minimize saliva contamination
minimize sample damage
minimize water contamination
minimize sample export
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