Department of Chemical Oceanography, School of Marine Sciences, Cochin University of Science and Technology, Cochin 682016, Kerala, India.
Department of Chemical Oceanography, School of Marine Sciences, Cochin University of Science and Technology, Cochin 682016, Kerala, India.
Mar Pollut Bull. 2018 Feb;127:273-284. doi: 10.1016/j.marpolbul.2017.12.010. Epub 2017 Dec 10.
Surface sediments from three zones (fresh water, estuarine, and riverine/industrial zones) of the Cochin estuary, Southwest coast of India, were seasonally analyzed to understand the nature and degradation status of organic matter. Amino acid-based indices such as total hydrolyzable amino acids (THAAs), percentage contributions of amino acid carbon to total organic carbon (THAA-C%) and those of amino acid nitrogen to total nitrogen (THAA-N%), and degradation index (DI) were calculated. Elevated levels of amino acids in the sediments of the estuary were attributed to river runoff, autochthonous production, allochthonous inputs, and industrial and domestic effluent discharges. Higher levels of THAA-C%, THAA-N%, THAA, and positive DI found in most of the stations suggest the fresh deposition of organic matter. Multivariate statistical analyses revealed that the dispersal pattern of amino acids depends on the sediment texture, organic matter, redox state, and microbial processes in the study region.
本研究对印度西南海岸高知河口的三个区域（淡水区、河口区和河流/工业区域）的表层沉积物进行了季节性分析，以了解有机物质的性质和降解状态。本研究计算了基于氨基酸的指标，如总水解氨基酸（THAAs）、氨基酸碳占总有机碳的百分比（THAA-C%）和氨基酸氮占总氮的百分比（THAA-N%），以及降解指数（DI）。河口沉积物中氨基酸含量的升高归因于河流径流量、自生源生产、异源输入以及工业和生活污水的排放。在大多数站位中，较高的 THAA-C%、THAA-N%、THAA 和正值的 DI 表明有机物质的新鲜沉积。多元统计分析表明，氨基酸的扩散模式取决于研究区域的沉积物质地、有机质、氧化还原状态和微生物过程。
