## 1 Introduction  
The textile industry is a multifaceted global sector that produces a wide array of products, ranging from fabrics and yarns to garments and technical textiles. It utilizes both natural fibers, such as cotton, wool, silk, and linen, as well as synthetic materials like polyester, nylon, and acrylic. In recent years, the development of high-performance fibers, including carbon-based and specialized materials, has expanded applications into fields like sports and automotive manufacturing. However, despite technological advancements and increased production efficiency, the industry has come under scrutiny for its significant environmental and social impacts [1]. Key environmental concerns include the high water consumption and chemical pollution associated with dyeing and finishing processes, which release hazardous substances, such as synthetic dyes and microplastics, into waterways. The rise in \"fast fashion\", characterized by low-cost, rapidly produced garments, exacerbates resource depletion and textile waste generation. Social issues, including poor working conditions, add to the industry's challenges. Initiatives such as Greenpeace's 2011 Detox Campaign and the Zero Discharge of Hazardous Chemicals (ZDHC) program have highlighted these concerns, encouraging greater transparency and sustainability efforts within the supply chain. Alongside the environmental and social challenges already highlighted, another point of concern is the quality of textiles, which can directly influence their durability, safety, and suitability for various applications [2, 3, 4, 5]. Analytical techniques are crucial for evaluating textile quality, detecting hazardous substances, and ensuring compliance with environmental and safety regulations. Among the factors that need to be assessed are the volatile organic compounds released by textiles, which can impact air quality and human health, followed by the presence of heavy metals, which may pose additional environmental and safety concerns. Recent studies have employed advanced methodologies to assess the presence of such contaminants. For instance, [PERSON] et al. developed a method combining solid-phase microextraction (SPME) with gas chromatography-mass spectrometry (GC-MS) to analyze volatile organic compounds (VOCs) in textiles [6]. By employing a larger headspace volume (2000 mL) and conditioning the CAR/PDMS fiber at 280 \({}^{\circ}\)C, their approach addressed VOC variability and ensured reliable identification and quantification of emissions. The results were compared with international safety standards, including REACH and OEKO-TEX(r) STANDARD 100 [7]. [PERSON] et al. employed flame furnace thermospray atomic absorption spectrometry (TS-FF-AAS) to profile the mineral content of textiles from both countries. Exploratory data analysis revealed distinct patterns based on geographical origin and color differences, demonstrating the potential of advanced statistical tools for textile characterization [8]. Standardized analytical techniques, such as inductively coupled plasma mass spectrometry (ICP-MS), atomic absorption spectrometry (AAS), and Fourier transform infrared spectroscopy (FT-IR), are commonly applied to assess textile composition and contaminants. Microwave digestion methods, as highlighted by [PERSON] et al. [9], have proven effective for the rapid and reproducible preparation of complex samples for metal analysis. For VOC analysis, GC-MS is the preferred method, as demonstrated by [PERSON] et al. [6], due to its ability to identify and quantify trace-level emissions that may affect air quality and human health. These and other studies [10, 11, 12, 13, 14, 15] underscore the importance of integrating advanced analytical methods to address the industry's environmental and health challenges effectively.