北京大学学报自然科学版 ›› 2019, Vol. 55 ›› Issue (4): 717-726.DOI: 10.13209/j.0479-8023.2019.031

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基于PARAFAC分析的西藏昌都大骨节病地区水体腐殖质性质研究

蒋咏1, 高顶学1, 毛学文2, 袁浩2, 胡明明3, 张敏1, 郭永朝1, 仪马兰4, 吴疆1, 许楠1,†   

  1. 1. 深圳市重金属污染控制与资源化重点实验室, 北京大学深圳研究生院环境与能源学院, 深圳 518055
    2. 水利部水文局, 北京 100053 3. 中国水利水电科学研究院, 北京 100038 4. 北京大学环境科学与工程学院, 北京 100871
  • 收稿日期:2018-05-14 修回日期:2018-05-31 出版日期:2019-07-20 发布日期:2019-07-20
  • 通讯作者: 许楠, E-mail: xunan(at)pkusz.edu.cn
  • 基金资助:
    国家自然科学基金(51579003)和流域生态工程学学科建设项目(深发改[2017]542 号)资助

Characteristics of Humic Substances in KBD-Affected Region of Changdu, Tibet Based on PARAFAC of Fluorescence

JIANG Yong1, GAO Dingxue1, MAO Xuewen2, YUAN Hao2, HU Mingming3, ZHANG Min1, GUO Yongzhao1, YI Malan4, WU Jiang1, XU Nan1,†#br#   

  1. 1. Key Laboratory for Heavy Metal Pollution Control and Reutilization, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055 2. Bureau of Hydrology, Ministry of Water Resources of China, Beijing 100053 3. China Institute of Water Resources and Hydropower Research, Beijing 100038 4. College of Environmental Sciences and Engineering, Peking University, Beijing 100871
  • Received:2018-05-14 Revised:2018-05-31 Online:2019-07-20 Published:2019-07-20
  • Contact: XU Nan, E-mail: xunan(at)pkusz.edu.cn

摘要:

基于荧光平行因子分析法(PARAFAC), 对西藏昌都大骨节病病区与非病区饮水及沉积物中腐殖质进行研究。腐殖质总有机碳含量在病区和非病区样本间未表现显著差异。PARAFAC识别出5个荧光成分: 成分1为类氧化醌, 成分2为类色氨酸, 成分3为陆地源类腐殖质, 成分4为类还原醌, 成分5为类酪氨酸。病区水中富里酸(FA)的成分1 (p<0.10)、成分4 (p<0.05)以及水中胡敏酸(HA)的成分4 (p<0.10)等类醌成分含量高于非病区, 并且存在显著差异。对比水中腐殖质醌氧化还原系统在病区和非病区之间的差异, 发现还原醌形态的差异大于氧化醌形态, FA醌系统的差异大于HA醌系统。虽然HA中还原醌含量较高, 但HA在水中的碳含量很低, 对大骨节病影响较弱, 在病区与非病区之间差异较小。沉积物中腐殖质还原醌含量较高, 且与水中腐殖质存在一定的相互转化关系, 但在病区和非病区之间未表现显著差异。深入了解腐殖质不同组分以及醌的不同氧化还原形态在病区与非病区之间的差异, 对病区改水工程有重要意义。

关键词: 三维荧光光谱, 平行因子分析, 大骨节病, 富里酸, 胡敏酸, 醌氧化还原系统

Abstract:

Humic substances (HS) in Kaschin-Beck disease (KBD) affected regions were analyzed based on parallel factor analysis (PARAFAC) of fluorescence. Total organic carbon content of HS did not show significant difference between endemic and disease-free areas. Five fluorescence components were identified with PARAFAC, i.e. component 1 (oxidized quinone-like), component 2 (tryptophan-like), component 3 (terrestrial humic-like), component 4 (reduced quione-like) and component 5 (tyrosine-like). Component 1 (p<0.10), component 4 (p<0.05) of aquatic fulvic acid (FA) and component 4 (p<0.10) of aquatic humic acid (HA) in endemic areas showed higher content than disease-free areas. Lager differences of the quinone redox system in aquatic HS between endemic and disease-free areas exhibited in reduced quinone state than that in oxidized quinone state, and in FA than that in HA. HA showed higher content of reduced quinone than FA, but smaller differences between endemic and disease-free areas for its weaker influence on KBD due to extremely low carbon content in drinking water. Sediment HS showed mutual transformation with aquatic HS and higher content of reduced quinone, but no significant differences between endemic and disease-free areas. Intensive understanding on the differences of different fractions of HS and different state of quinone between endemic and disease-free areas can help guiding water improvement project in endemic areas.

Key words: three-dimensional fluorescence spectrum, parallel factor analysis, Kaschin-Beck disease (KBD); fulvic acid, humic acid, quinone redox system