隨著養豬業規模日益集約化，畜牧廢水產量漸增，而畜牧業廢水中可能含有多種內分泌干擾物質 (Endocrine Disrupting Chemicals, EDCs)，若未經去除即放流至水體中，可能會對生態環境造成風險。由於傳統監測方法往往僅針對已知污染物，難以掌握未知或複雜混合物的潛在毒性來源，因此，本研究以臺灣四座養豬場為研究對象，採集水相及懸浮固相樣本，並結合效應導向分析 (Effect-Directed Analysis, EDA)與非目標分析，針對樣本中可能存在的EDCs進行篩選與鑑別。
研究首先透過基因重組酵母菌生物試驗法檢測樣本是否具有內分泌干擾活性，結果顯示，各場水相樣本普遍具有類芳香烴活性 (1.8~18.3 μg β-NF-EQ/L)、抗雄激素活性 (478.2~5645.7 μg FLU-EQ/L)及抗糖皮質激素活性 (2.8~61.9 μg TeCBPA-EQ/L)；懸浮固相樣本亦檢測出類芳香烴活性 (0.3~2.7 μg β-NF-EQ/L)、抗雄激素 (198.4~323 μg FLU-EQ/L)、抗雌激素活性 (56.4~118.9 μg 4-OHT-EQ/L)、抗糖皮質激素活性 (1.6~27 μg TeCBPA-EQ/L)。經污水處理流程後，放流水之水相樣本中仍可檢測出類芳香烴、抗雄激素、抗糖皮質激素活性。針對具生物活性的樣本，進行液相層析儀分離與氣相層析質譜儀分析，並以非目標方式鑑別可能物質。比對結果指出，部分活性級分中含有矽氧烷類、塑化劑、紫外線過濾劑、藥物代謝物等物質，但部分物質尚未被驗證具有內分泌干擾活性。
整體而言，本研究證實養豬場廢水中仍潛藏多種具內分泌干擾活性的物質，傳統處理流程僅能有限去除。在具活性集份中可測出原始樣本中未測得之物質，顯示運用效應導向分析與非目標分析技術，有助於提升環境樣本中未知毒性物質的識別與風險評估能力。

The intensification of the swine industry has increased livestock wastewater production, raising concerns about endocrine-disrupting compounds (EDCs) into aquatic environments. This study investigates the occurrence and types of EDCs in wastewater from four pig farms in Taiwan. A comprehensive approach was employed by combining effect-directed analysis (EDA) with non-target screening.
Both aqueous phases and suspended solids were analyzed using in vitro recombinant yeast bioassays to evaluate multiple endocrine disrupting activities, including aryl hydrocarbon receptor (AhR), androgen receptor (AR), glucocorticoid receptor (GR), and estrogen receptor (ER) agonist/antagonist activities. The results revealed widespread AhR agonistic activity (1.8-18.3 µg β-NF-EQ/L) across all water phase samples. Furthermore, significant anti-androgenic activity (478.2-5645.7 µg FLU-EQ/L) and anti-glucocorticoid activity persisted in the final effluents of several farms, indicating that conventional three-stage treatment systems are insufficient for complete elimination of EDCs.
To pinpoint the causative agents, bioactive samples were subjected to high performance liquid chromatography (HPLC) fractionation, followed by gas chromatography–mass spectrometry (GC–MS) for non-target screening. The EDA approach successfully resolved complex mixtures into high-potency fractions, leading to the identification of various emerging contaminants, including siloxane compounds, plasticizers, and UV filters.
Overall, this study highlights that conventional wastewater treatment only partially mitigates chemical risks. The persistence of biological activities in discharged water poses a potential threat to downstream ecosystems. These findings emphasize the necessity of integrating bioanalytical tools with non-target analysis to improve wastewater management strategies and protect environmental health from emerging contaminants.

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