تسليط الضوء على الماضي: التصنيف الزمني للنماذج الحيوانية من مجموعات المتاحف باستخدام حساسات الأشعة تحت الحمراء القريبة المحمولة ونمذجة الخطأ متعدد المتغيرات

Key Points

• This research aims to develop a rapid, nondestructive method for classifying the temporal origin of zoological skeletal specimens.
• Utilized portable NIR spectroscopy for analyzing zoological bone samples.
• Employed maximum likelihood principal component analysis-logistic regression (MLPCA-LR) for data analysis.
• Compared MLPCA-LR with partial least-squares discriminant analysis (PLS-DA) for model validation.
• Achieved perfect or near-perfect discrimination between historical and modern specimens.
• Validation conducted through cross-validation, independent test sets, and bootstrap analysis.
• MPCA-LR framework shown to be more robust and interpretable compared to PLS-DA.