Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia.
Anal Methods. 2021 Apr 7;13(13):1601-1611. doi: 10.1039/d1ay00075f. Epub 2021 Mar 17.
Due to the outbreak of the COVID-19 pandemic, practicing personal hygiene such as frequent hand sanitising has become a norm. The making of effective hand sanitiser products should follow the recommended formulations, but the high demand worldwide for such affordable products could have made them a candidate for counterfeiting, thus deserving forensic determination and profiling for source determination or supply chain tracing. In this study, determination and discrimination of hand sanitisers was carried out by employing attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy combined with chemometrics. Fifty commercially available hand sanitisers were obtained from the market and analysed. ATR-FTIR profiles of each sanitiser were compared and decomposed by principal component analysis (PCA) followed by linear discriminant analysis (LDA). Physical observation enabled the discrimination of seven samples based on their respective colours, the presence of beads and their colours, and the physical forms of formulations. Subsequently, eight distinct patterns were observed through visual comparison of ATR-FTIR profiles of the remaining 43 samples. An initial unsupervised exploratory PCA model indicated the separation of two main groups with ATR-FTIR profiles similar to those of ethanol and isopropanol, respectively. The PCA score-LDA model provided good predictions, with a 100% correct classification into eight different groups. In conclusion, this study demonstrated a quick determination and discrimination of hand sanitiser samples, allowing screening for any restricted components and sample-to-sample comparison.
由于 COVID-19 大流行的爆发,经常进行手部卫生消毒已成为常态。制作有效的手部消毒剂产品应遵循推荐的配方,但全球对这种负担得起的产品的高需求可能使其成为假冒产品的候选者,因此值得进行法医鉴定和分析,以确定来源或追溯供应链。在这项研究中,采用衰减全反射-傅里叶变换红外(ATR-FTIR)光谱结合化学计量学方法对手部消毒剂进行了测定和鉴别。从市场上获得了 50 种市售的手部消毒剂并进行了分析。对每种消毒剂的 ATR-FTIR 图谱进行了比较,并通过主成分分析(PCA)和线性判别分析(LDA)进行了分解。通过物理观察,可以根据各自的颜色、珠子的存在及其颜色以及制剂的物理形式来区分七种样品。随后,通过对其余 43 个样品的 ATR-FTIR 图谱进行直观比较,观察到了八个不同的模式。初步的无监督探索性 PCA 模型表明,两个主要组的分离与乙醇和异丙醇的 ATR-FTIR 图谱相似。PCA 得分-LDA 模型提供了良好的预测,将 100%的样本正确分类为八个不同的组。总之,本研究展示了对手部消毒剂样品的快速测定和鉴别,可用于筛选任何受限成分和样品间的比较。