Man vs. Machine: A Junior‐Level Laboratory Exercise Comparing Human and Instrumental Detection Limits

R. Elias, H. Hopfer, Amanda N. Hofstaedter, J. Hayes
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Abstract

The human nose is a very sensitive detector and is able to detect potent aroma compounds down to low ng/L levels. These levels are often below detection limits of analytical instrumentation. The following laboratory exercise is designed to compare instrumental and human methods for the detection of volatile odor active compounds. Reference standards of 3-mercapto-1-hexanol (3MH), a secondary thiol that is important to food quality, are analyzed by gas chromatography with flame ionization detection (GC-FID), and these raw data are provided to students. Students also perform a series of 3-alternative forced choice (3-AFC) sensory tests to determine the human detection limits in a series of samples. For both data sets, 2 methods of data analysis (standard deviation of the response and the slope and signal-to-noise ratio for GC-FID data; forced-choice ascending concentration series method of limits and linear regression for 3-AFC data) will be used to estimate instrumental detection limits and human thresholds. GC-FID and 3-AFC results are then compared by the students to demonstrate the importance of instrumental and human methods for food analysis, and to provide an experiential learning opportunity to critically think through multiple methods of analysis and compare the outcomes of those methods. In completing the laboratory exercise and discussion questions, students will gain an understanding of the advantages and disadvantages of human and instrumental measurements in food analysis, and compare the outcome of common data analysis methods for instrumental and sensory data.
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人与机器:初级水平的实验室练习比较人类和仪器的检测极限
人的鼻子是一个非常敏感的探测器,能够检测到低ng/L水平的强效香气化合物。这些水平通常低于分析仪器的检测极限。下面的实验练习的目的是比较仪器和人类的方法检测挥发性气味活性化合物。3-巯基-1-己醇(3MH)是一种对食品质量至关重要的仲硫醇,本文采用气相色谱-火焰离子化检测(GC-FID)分析了其参考标准,并将这些原始数据提供给学生。学生们还进行了一系列3-alternative强迫选择(3-AFC)感官测试,以确定一系列样品中的人类检测极限。对于这两个数据集,2种数据分析方法(GC-FID数据的响应标准差、斜率和信噪比;强制选择浓度上升序列法和线性回归法(3-AFC数据)将用于估计仪器检测限和人为阈值。然后由学生比较GC-FID和3-AFC结果,以展示仪器和人工方法对食品分析的重要性,并提供体验式学习机会,通过多种分析方法进行批判性思考,并比较这些方法的结果。通过完成实验练习和讨论问题,学生将了解食品分析中人工测量和仪器测量的优缺点,并比较仪器和感官数据的常用数据分析方法的结果。
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