Discrimination of mongoose hair from domestic cattle hair, human hair, and synthetic fiber using FTIR spectroscopy and chemometric analysis: a rapid, cost-effective, and field-deployable tool for wildlife forensics†

IF 3.9 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
RSC Advances Pub Date : 2024-11-19 DOI:10.1039/D4RA06981A
Shinta Ann Jose, Kalaiyarasan Boopathy Thiyagarajan, Chanthini Baskar, Rajinder Singh, Dhayanithi Vasanthakumari and A. Udhayan
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引用次数: 0

Abstract

Mongoose hair is used to prepare fine brushes, which increases the demand for mongooses to be poached from the wild and brutally bludgeoned to death. Mongooses were listed as Schedule I species under the Indian Wildlife (Protection) Act 1972. Species identification of wildlife case-related samples is necessary to convict a person under this legislation. Microscopy and DNA-based techniques are commonly used to identify mongoose hair in seized brushes. However, in painting brushes, the roots, and the lower part of the hair are mostly trimmed, and only the upper part is used to make the brushes. In addition, brushes are often prepared with mixed hair from mongoose, domestic cattle, human hair, and synthetic fibre. Therefore, the identification of mongoose hair by microscopy and DNA-based techniques is restricted due to the lack of complete strands of hair and the absence of hair roots. Therefore, there is an urgent need to develop an alternative methodology for the identification of mongoose hair from seized articles. FTIR spectroscopy for forensic analysis has gained significant attention over the years because of its sensitivity, specificity, and non-destructive nature. The present study aimed to discriminate Indian grey mongoose (Herpestes edwardsii) hair from domestic cattle hair (domestic water buffalo and domestic cow), human hair, and synthetic fiber based on their chemical composition using FTIR spectroscopy and chemometric analysis. We have taken hair from four individuals for each species, namely Indian grey mongoose, domestic cattle, human hair, and synthetic fibre. The FTIR spectrum was recorded, and partial least-squares discriminant analysis (PLS-DA) was used to discriminate hair and synthetic fiber. The established PLS-DA model showed an R-square value and an RMSE (root mean square error) value of 0.9 and 0.13 respectively. Our preliminary findings have shown that FTIR spectroscopy combined with chemometrics can quickly discriminate Indian grey mongoose hair, domestic cattle hair, human hair, and synthetic fiber, providing crucial evidence for judicial proceedings.

Abstract Image

利用傅立叶变换红外光谱和化学计量分析鉴别獴毛与家养牛毛、人毛和合成纤维:一种快速、经济、可实地部署的野生动物取证工具†。
鼬鼠的毛被用来制作精细的刷子,这增加了对从野外偷猎并残忍地用棍棒打死的鼬鼠的需求。根据 1972 年《印度野生动物(保护)法》,獴被列为附表一物种。要根据该法对某人定罪,就必须对野生动物案件相关样本进行物种鉴定。显微镜和基于 DNA 的技术通常用于鉴定缴获画笔中的猫鼬毛发。然而,在画笔中,毛的根部和下半部分大多被修剪,只有上半部分用于制作画笔。此外,毛笔通常是用獴毛、家畜毛、人毛和合成纤维混合制成的。因此,由于缺乏完整的毛股和毛根,用显微镜和 DNA 技术鉴定獴毛受到限制。因此,亟需开发一种替代方法来鉴定缴获物品中的獴毛。多年来,用于法证分析的傅立叶红外光谱因其灵敏性、特异性和非破坏性而备受关注。本研究旨在利用傅立叶红外光谱和化学计量分析,根据化学成分将印度灰獴(Herpestes edwardsii)毛发与家畜毛发(家养水牛和家养奶牛)、人类毛发和合成纤维进行鉴别。我们分别从印度灰獴、家畜、人发和合成纤维这四个物种中提取了四个个体的毛发。我们记录了傅立叶变换红外光谱,并使用偏最小二乘判别分析(PLS-DA)来区分毛发和合成纤维。建立的 PLS-DA 模型的 R 方值和 RMSE(均方根误差)值分别为 0.9 和 0.13。我们的初步研究结果表明,傅立叶变换红外光谱与化学计量学相结合可快速鉴别印度灰獴毛发、家畜牛毛、人类毛发和合成纤维,为司法程序提供重要证据。
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来源期刊
RSC Advances
RSC Advances chemical sciences-
CiteScore
7.50
自引率
2.60%
发文量
3116
审稿时长
1.6 months
期刊介绍: An international, peer-reviewed journal covering all of the chemical sciences, including multidisciplinary and emerging areas. RSC Advances is a gold open access journal allowing researchers free access to research articles, and offering an affordable open access publishing option for authors around the world.
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