triplicate sample

简明释义

第三份样品

英英释义

例句

1.The laboratory requires a triplicate sample of each water source for testing contaminants.

实验室要求每个水源提供一个三重样本以测试污染物。

2.We need to collect a triplicate sample for the soil analysis to ensure accuracy.

我们需要收集一个三重样本用于土壤分析以确保准确性。

3.In research, it's common to use a triplicate sample to reduce variability in results.

在研究中，使用一个三重样本来减少结果的变异性是很常见的。

4.Each triplicate sample must be labeled correctly before being sent to the analysis lab.

每个三重样本在送往分析实验室之前必须正确标记。

5.To validate our findings, we will submit a triplicate sample from the clinical trial.

为了验证我们的发现，我们将提交一个来自临床试验的三重样本。

作文

In scientific research and various laboratory settings, the accuracy and reliability of data are paramount. One common practice to enhance the validity of experimental results is the use of a triplicate sample. A triplicate sample refers to the collection and analysis of three separate samples under identical conditions to ensure consistency and reproducibility of the results. This method is particularly important in fields such as chemistry, biology, and environmental science, where slight variations in data can lead to significantly different conclusions. The process of utilizing a triplicate sample begins with careful planning and execution of experiments. Researchers first identify the parameters they wish to measure and then collect three separate samples from the same source or environment. For instance, if a biologist is studying the effect of a new fertilizer on plant growth, they might take three soil samples from the same plot before applying the fertilizer. By analyzing these triplicate samples, the researcher can account for any potential variability in soil composition that could affect plant growth. Once the samples are collected, they undergo the same analytical procedures to determine their characteristics. This could involve chemical assays, biological tests, or physical measurements, depending on the nature of the study. The results from the triplicate samples are then compared to assess the reliability of the findings. If all three samples yield similar results, researchers can be more confident in the accuracy of their conclusions. Conversely, if there is significant variation among the results, it may indicate that further investigation is needed to understand the underlying causes of the discrepancies. Using triplicate samples also plays a crucial role in statistical analysis. Researchers often employ statistical methods to evaluate the data obtained from these samples. By calculating means, standard deviations, and other statistical metrics, scientists can quantify the degree of uncertainty associated with their findings. This is especially important when making claims about the efficacy of a treatment or the impact of an environmental factor. Moreover, the practice of using triplicate samples is not limited to laboratory studies; it is also essential in clinical trials and field studies. In clinical research, for example, obtaining multiple samples from patients can help ensure that the results are not skewed by outliers or anomalies. Similarly, in environmental monitoring, collecting triplicate samples from different locations can provide a more comprehensive understanding of the environmental conditions being studied. In conclusion, the use of a triplicate sample is a fundamental practice in scientific research that enhances the reliability and validity of experimental results. By collecting and analyzing three separate samples, researchers can minimize the impact of variability and increase the confidence in their findings. This methodology not only strengthens the integrity of scientific studies but also fosters trust in the conclusions drawn from them. As we continue to advance our understanding of complex scientific phenomena, the importance of rigorous practices like employing triplicate samples cannot be overstated.

在科学研究和各种实验室环境中，数据的准确性和可靠性至关重要。一种常见的提高实验结果有效性的方法是使用三重样本。三重样本是指在相同条件下收集和分析三个独立样本，以确保结果的一致性和可重复性。这种方法在化学、生物学和环境科学等领域尤为重要，因为数据的细微变化可能导致截然不同的结论。使用三重样本的过程始于实验的仔细规划和执行。研究人员首先确定他们希望测量的参数，然后从同一来源或环境中收集三个独立样本。例如，如果生物学家正在研究新肥料对植物生长的影响，他们可能会在施肥前从同一块土地中提取三份土壤样本。通过分析这些三重样本，研究人员可以考虑任何可能影响植物生长的土壤成分的变异性。一旦样本被收集，它们将接受相同的分析程序以确定其特征。这可能涉及化学分析、生物测试或物理测量，具体取决于研究的性质。然后，将从三重样本获得的结果进行比较，以评估发现的可靠性。如果所有三个样本的结果相似，研究人员就可以更有信心地得出结论。相反，如果结果之间存在显著差异，则可能表明需要进一步调查以了解差异的根本原因。使用三重样本在统计分析中也起着至关重要的作用。研究人员通常采用统计方法来评估从这些样本中获得的数据。通过计算均值、标准偏差和其他统计指标，科学家可以量化与其发现相关的不确定性。这在对治疗效果或环境因素影响的声明时尤其重要。此外，使用三重样本的做法不仅限于实验室研究；它在临床试验和实地研究中也至关重要。在临床研究中，例如，从患者那里获得多个样本可以帮助确保结果不会因异常值或异常情况而偏斜。同样，在环境监测中，从不同地点收集三重样本可以提供对所研究环境条件的更全面理解。总之，使用三重样本是科学研究中的一项基本实践，它增强了实验结果的可靠性和有效性。通过收集和分析三个独立样本，研究人员可以最小化变异的影响，并增加对其发现的信心。这种方法不仅加强了科学研究的完整性，而且促进了对从中得出的结论的信任。随着我们不断推进对复杂科学现象的理解，像使用三重样本这样的严格实践的重要性不容小觑。