查詢結果分析
來源資料
相關文獻
- 提升農藥殘留檢測效率:自動化質譜數據分析技術之探討
- 草菇罐頭陶斯松殘留農藥檢驗研討
- 中藥材微量有機氯農藥之超臨界流體檢驗方法之研究
- Determination of Benzoximate and Allethrin Residues in Crops
- Analytical Methods for the Determination of Acifluorfen and Bentazone Residues in Crops
- 以高效液相層析法定量農產品中比多農殘留量
- 進口澳洲牛肉與安殺番(Endosulfan)農藥殘留
- 八十七年度市售蔬果農藥殘留監測
- 八十六年度市售蔬果農藥殘留量調查
- 以氣相層析法檢測米中雙特松殘留量
頁籤選單縮合
| 題 名 | 提升農藥殘留檢測效率:自動化質譜數據分析技術之探討=Enhancing the Efficiency of Pesticide Residue Detection: An Exploration of Automated Mass Spectrometry Data Analysis Techniques |
|---|---|
| 作 者 | 汪淋楊; 莊瑋臻; 徐慈鴻; 林韶凱; | 書刊名 | 臺灣農藥科學 |
| 卷 期 | 18 2025.06[民113.06] |
| 頁 次 | 頁17-32 |
| 分類號 | 412.3 |
| 關鍵詞 | 農藥殘留; 質譜數據; 自動化分析; 檢測效率; 雲端主機; Pesticide residue; Mass spectrometry data; Automated data analysis; Detection efficiency; Cloud host; |
| 語 文 | 中文(Chinese) |
| DOI | 10.6671/TPS.202506_(18).02 |
| 中文摘要 | 本研究主要是探討自動化質譜數據分析技術在農藥殘留檢測中的應用,並比較 其與傳統人工分析的效率及準確性。本研究採用 QuEChERS 樣品前處理方法,結合 液相層析串聯質譜儀 (LC-MS/MS) 及氣相層析串聯質譜儀 (GC-MS/MS) 進行農藥 多重殘留檢測的原始質譜數據的製備工作,並且研發特徵波峰自動偵測比對模組、 基質匹配檢量線自動產製模組及雲端自動化分析資訊平台,以實現從數據收集到分 析結果產出的全自動化檢驗流程。研究結果顯示,自動化數據分析時間從人工方式 的 240 分鐘縮短至 10 分鐘,效率提升超過 20 倍,自動化技術顯著提升了檢測效率。 在藥劑回收率測試中,本研究選用了小白菜、蘋果、小麥及烏龍茶四種代表性基質 並添加 15 項品質管制 (QC) 藥劑,研究結果顯示,自動化分析與人工分析在所有基 質的藥劑回收率均無顯著差異。自動化質譜數據分析技術的應用不僅能有效提升農 藥殘留檢測效率,還具備良好的準確性與適應性,未來更具有拓展至動物用藥、醫 藥、食品添加劑及重金屬等質譜檢測的潛力。 |
| 英文摘要 | Pesticide residues can cause significant impacts on human health, such as immune damage, cancer, and reproductive problems; however, pesticides are crucial in improving agricultural productivity and ensuring food safety. Monitoring pesticide residues in food not only protects consumer health, but also ensures that food products comply with international safety standards and enhances the competitiveness of exports and the market. Therefore, there is an increasing demand for efficient pesticide residue detection technologies in numerous countries. In this study, we (1) investigated the application of automated mass spectrometry analysis in pesticide residue detection and (2) compared the efficiency and accuracy of automated mass spectrometry analysis with that of traditional manual analysis. In brief, we used the QuEChERS sample pre-processing method to prepare raw mass spectrometry data for multi-residue pesticide testing by combined liquid chromatography tandem mass spectrometry (LC-MS/MS) and gas chromatography tandem mass spectrometry (GC-MS/MS). A signal peaks auto-detecting and comparing module, a matrix calibration curve automatic production module and an information platform for cloud-based automated analysis were developed to achieve a fully automated inspection process, from data collection to the analysis of results. We found that automating the inspection process reduced analysis time from 240 minutes to 10 minutes, (an efficiency increase of more than 20 times). For recovery rate tests, four representative matrices (cabbage, apple, wheat, and oolong tea) and 15 quality control (QC) pesticides were used. Results did not show a significant difference in recovery rates between automated and manual analyses for any matrix. In summary, automated mass spectrometry data analysis technology features good accuracy and adaptability and can improve the efficiency of pesticide residue detection. Furthermore, in addition to pesticides, there is also potential to expand the use of this automated technology, including in the analysis of animal drugs, pharmaceuticals, food additives, and heavy metals. |
本系統中英文摘要資訊取自各篇刊載內容。