The COVID-19 pandemic created an increased demand for hygiene supplies such as hand sanitizers. In response, a large number of new domestic or imported hand sanitizer products entered the US market. Some of these products were later found to be out of specification. Here, to quickly assess the quality of the hand sanitizer products, a quantitative, through-container screening method was developed for rapid and non-destructive screening. Using spatially offset Raman spectroscopy (SORS) and support vector regression (SVR), active ingredients (e.g., type of alcohol) of 173 commercial and in-house products were identified and quantified regardless of the container material or opacity. Alcohol content in hand sanitizer formulations were predicted with high accuracy \((R^2\, > \,0.98)\) using SVR and \(94\%\) of the substandard test samples were identified. In sum, a SORS-SVR method was developed and used for testing medical countermeasures used against COVID-19, demonstrating a potential for high-volume testing during public health threats.

COVID-19 大流行导致对洗手液等卫生用品的需求增加。与之对应，大量新的国产或进口洗手液产品进入美国市场。后来发现其中一些产品不符合规格。在这里，为了快速评估洗手液产品的质量，开发了一种定量的、通过容器的筛选方法，用于快速和无损筛选。使用空间偏移拉曼光谱 (SORS) 和支持向量回归 (SVR)，无论容器材料或不透明度如何，对 173 种商业和内部产品的活性成分（例如酒精类型）进行了鉴定和量化。使用SVR和\(94\%\)的不合格测试样本被识别出来。总之，开发了一种 SORS-SVR 方法并将其用于测试针对 COVID-19 的医疗对策，展示了在公共卫生威胁期间进行大量测试的潜力。