Biopharmaceuticals produced via cell culture require precise environmental stability inside bioreactors. Last year, several batches of a critical biologic drug at a manufacturing facility were lost to opportunistic bacterial contamination. To eliminate future batch rejections, plant engineers installed automated sensor arrays that monitor nutrient consumption rates in real time. The engineers claim that this system will prevent future bacterial contamination losses because early detection of abnormal nutrient consumption allows immediate, targeted anti-microbial treatment before bacteria proliferate. Which of the following, if true, most strongly supports the plant engineers' claim?
- In pilot trials with identical bioreactors, bacterial strains consistently altered nutrient consumption rates several hours before reaching cell densities capable of causing batch loss.Cevap
- BThe targeted anti-microbial agents currently used in the facility disrupt the metabolic pathways of host cells, significantly reducing overall yield.
- CInstalling automated sensor arrays in bioreactors reduces overall facility electricity consumption by optimizing temperature regulation cycles.
- DNutrient consumption rates in cell cultures frequently fluctuate due to harmless ambient temperature variations rather than bacterial growth.
- EReducing batch rejections is essential for maintaining the manufacturing facility's long-term annual profit margins.
Cevap
The argument is most strongly supported by evidence showing that in pilot trials, bacterial strains consistently altered nutrient consumption rates several hours before reaching cell densities capable of causing batch loss.
The correct answer provides critical empirical evidence establishing that the indicator (nutrient consumption changes) occurs significantly ahead of the harmful outcome (batch loss). This confirms the core assumption of the engineers' plan: that sensor detection provides a usable window of opportunity to intervene effectively before proliferation ruins the batch.
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Strengthening Arguments via Confirming Necessary Assumptions and Causal Timelines
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