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应用于追踪灌溉水中天然微污染物发生情况的非破坏性方法:以大豆作为生物监测器。

Non-destructive methodologies applied to track the occurrence of natural micropollutants in watering: Glycine max as a biomonitor.

机构信息

CONICET, Universidad de Buenos Aires, Instituto de Investigaciones en Producción Animal (INPA), Facultad de Ciencias Veterinarias, Buenos Aires, Argentina.

Universidad de Buenos Aires, Facultad de Agronomía, Área de Educación Agropecuaria, Buenos Aires, Argentina; CONICET, Universidad de Buenos Aires, Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA), Buenos Aires, Argentina.

出版信息

Ecotoxicol Environ Saf. 2019 Oct 30;182:109368. doi: 10.1016/j.ecoenv.2019.109368. Epub 2019 Jun 26.

Abstract

Groundwater is habitually used for watering purposes in rural areas where the rainfall is not enough to adequately cover the crop requirements. However, groundwater sources could be naturally contaminated with trace micropollutants like As and associated elements (B, V and F) adversely affecting the plant health. In this work, non-destructive methodologies based on reflectance and chlorophyll emission processes were applied to assess the presence of micropollutants in watering by using a widespread crop (soybean plant). One of the most substantial results is that the co-occurrence of As, V, B and F in the watering solution clearly produced a synergistic effect in the plants. In fact, both reflectance and fluorescence techniques were proved in this work to be effective in detecting non-destructively stress by multielement treatment. Particularly, for reflectance measurements the most sensitive parameters were the derivative peak area between 480 and 560 nm and the chlorophyll content. Furthermore, it was demonstrated that it is possible to successfully use a portable hyperspectral spectroradiometer instead of a conventional spectrophotometer as the determinations performed with both instruments were positively correlated. Concerning fluorescence, variable emission of chlorophyll-a was more sensitive to stress than steady-state emission. The parameter F/F was a valuable indicator of stress but the quantum yields of PSII and NPQ stood out as the most sensitive indices with variations of around 60 and 100% respectively.

摘要

地下水在降雨量不足以为农作物提供充分水分的农村地区通常被用于灌溉目的。然而,地下水可能会受到痕量微污染物(如砷和相关元素(硼、钒和氟))的自然污染,从而对植物健康产生不利影响。在这项工作中,使用一种广泛种植的作物(大豆植物),应用了基于反射率和叶绿素发射过程的非破坏性方法来评估灌溉水中微污染物的存在。最显著的结果之一是,灌溉水中砷、钒、硼和氟的共存明显对植物产生了协同作用。实际上,本工作证明反射率和荧光技术在检测多元素处理的非破坏性胁迫方面都非常有效。特别是对于反射率测量,最敏感的参数是 480 到 560nm 之间的导数峰面积和叶绿素含量。此外,证明了使用便携式高光谱分光辐射计代替传统分光光度计进行测定是可行的,因为两种仪器的测定结果呈正相关。关于荧光,叶绿素-a 的可变发射比稳态发射对胁迫更敏感。F/F 是胁迫的一个有价值的指标,但 PSII 和 NPQ 的量子产率是最敏感的指标,分别变化约 60%和 100%。

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