本研究以國內某羽絨加工廠為對象，針對其水洗區、分毛區、灌毛區與中古拆被區等四大作業區域，進行2019年至2025年之作業環境粉塵監測資料彙整與分析，評估勞工暴露於總粉塵與可呼吸性粉塵之風險。採樣方式包括區域與個人監測，共計收集96筆樣本。總粉塵採樣依據MOL4002方法，以採樣幫浦搭配37 mm、孔徑4 μm之PVC濾紙進行；可呼吸性粉塵則依MOL4001方法，使用配有10 mm尼龍旋風式分離器之個人採樣裝置收集粒徑小於4 μm之粒子。所有樣本均送交勞動部認可實驗室進行濃度分析。結果顯示，各區總粉塵濃度雖均低於法規容許標準（10 mg/m³），然可呼吸性粉塵濃度於多數區域偏高，部分區域甚至接近或超過標準之半值（2.5 mg/m³），顯示長期暴露風險不容忽視。其中以中古拆被區濃度最高（2.513 mg/m³），分毛區與水洗區亦因作業過程產生明顯粒子逸散，屬中高風險區域。研究結果亦指出，原料品質差異與作業負荷變化為影響粉塵濃度之潛在因素。建議未來應導入時序性監測設計，並結合動態採樣與作業紀錄，以提升暴露評估準確性，作為高風險工段防護優化之依據。;This study investigated a domestic down processing plant, focusing on four main operational areas: washing, sorting, filling, and recycled product dismantling. The data of dust between 2019 and 2025 were compiled and analyzed to assess workers’ exposure risks to the total and the respirable dust. A total of 96 samples were collected using both area and personal monitoring methods. Total dust was sampled following the MOL4002 method, utilizing sampling pumps equipped with 37 mm PVC filters with a 4 μm pore size, while respirable dust was sampled in accordance with the MOL4001 method using personal sampling devices equipped with 10 mm nylon cyclone separators to capture particles smaller than 4 μm. All samples were analyzed by laboratories accredited by the Ministry of Labor. The results showed that total dust concentrations in all areas were below the regulatory permissible limit of 10 mg/m³. However, respirable dust concentrations were elevated in most areas, with some zones approaching or exceeding half of the permissible limit (2.5 mg/m³), indicating a noteworthy long-term exposure risk. The highest concentration was recorded in the recycled dismantling area (2.513 mg/m³), while the sorting and washing areas also exhibited significant particle dispersion due to specific operational activities, classifying them as medium-to-high risk zones. Additionally, the study identified raw material quality variability and fluctuations in operational load as potential factors influencing dust concentrations. It is recommended that future monitoring adopt time-series designs incorporating dynamic sampling and operational record-keeping to improve exposure assessment accuracy, providing a scientific basis for optimizing protective measures in high-risk work areas.
