Sharma Chandra Prakash, Bhatia Dimple, Singh Rajinder
Wildlife Forensic & Conservation Genetics Cell, Wildlife Institute of India, Dehradun, Uttarakhand, India, 248002.
Department of Forensic Science, Punjabi University, Patiala, Punjab, India, 147002.
Sci Justice. 2025 Jul;65(4):101261. doi: 10.1016/j.scijus.2025.101261. Epub 2025 Apr 23.
Elephant ivory is one of the most priced items/products in the illegal wildlife trade. Its increased demand and the dwindling population of elephants have led to a heavy influx of many natural and artificial elephant ivory substitutes in the illegal wildlife market. Identification of genuine elephant ivory and distinguishing it from substitutes is mandatory forsubsequent legal proceedings and successful implementation of the related laws. In this study, 30 Asian elephant (Elephas maximus) ivory and 29 cattle (Bubalus bubalis) bone samples were evaluated using ATR-FTIR spectroscopy with chemometrics. ATR-FTIR spectra of ivory and bone samples in the mid-IR range were visually compared and subjected to advanced chemometric analysis. The developed PCA model differentiated the ivory and cattle bone samples, with 98.30 % accuracy. PLS-DA model successfully differentiated ivory and bone samples into discrete classes with a calibration R square value of 0.99. A PLSDA-V model was also developed utilizing X-variables with a VIP score > 1 that distinguished ivory and bone samples into discrete classes. It was observed that the PLS-DA model outperformed the PLSDA-V model in terms of high accuracy and low error rates. Subsequently, the PLS-DA model was employed solely for external validation and blind tests. Furthermore, resin-based fake ivory samples were also differentiated from genuine ivory samples through visual comparison of their ATR-FTIR spectra. The findings of the study showed that ATR-FTIR spectroscopy could identify and differentiate ivory and bone samples, even when they are in powdered form and have lost their morphological characteristics in a quick, precise, non-destructive manner.
象牙是非法野生动物贸易中最昂贵的物品/产品之一。对象牙需求的增加以及大象数量的减少,导致非法野生动物市场大量涌入许多天然和人造象牙替代品。识别真正的象牙并将其与替代品区分开来,对于后续的法律程序以及相关法律的成功实施至关重要。在本研究中,使用带有化学计量学的衰减全反射傅里叶变换红外光谱(ATR-FTIR)对30个亚洲象(Elephas maximus)象牙样本和29个水牛(Bubalus bubalis)骨头样本进行了评估。对中红外范围内象牙和骨头样本的ATR-FTIR光谱进行了直观比较,并进行了高级化学计量分析。所建立的主成分分析(PCA)模型能够区分象牙和水牛骨头样本,准确率达98.30%。偏最小二乘判别分析(PLS-DA)模型成功地将象牙和骨头样本区分为不同类别,校准决定系数R²值为0.99。还利用变量重要性投影(VIP)得分>1的X变量建立了PLSDA-V模型,该模型也能将象牙和骨头样本区分为不同类别。结果发现,PLS-DA模型在准确性和低错误率方面优于PLSDA-V模型。随后,仅将PLS-DA模型用于外部验证和盲测。此外,通过对基于树脂的假象牙样本和真正象牙样本的ATR-FTIR光谱进行直观比较,也能将它们区分开来。研究结果表明,ATR-FTIR光谱能够快速、精确、无损地识别和区分象牙和骨头样本,即使它们呈粉末状且已失去形态特征。