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天然碱性苏打湖水中碳酸盐的估算方法。

Estimation method for carbonate in natural alkaline soda lake-waters.

作者信息

Boros Emil

机构信息

Institute of Aquatic Ecology, Centre for Ecological Research, Karolina str. 29., Budapest H-1113, Hungary.

出版信息

MethodsX. 2023 Apr 7;10:102175. doi: 10.1016/j.mex.2023.102175. eCollection 2023.

Abstract

Natural, inland alkaline soda waters form a particular type of saline waters, characterized by a permanent alkaline chemical property. In many cases only the total alkalinity by methyl-orange titration is reported, without phenolphthalein titration. Therefore, a reliable estimation of carbonates from total alkalinity is essential for a precise scientific chemical classification. The concentration of bicarbonate [HCO ] can be reliably estimated in waters using the Advanced Speciation Method (ASM) if methyl-orange total alkalinity titration and pH data are available, while the concentration of carbonate [CO ] is not reliably estimated by the ASM when interfering factors with acid/base properties (e.g., phosphate, silicate, ammonia, etc.) are present in significant concentrations in natural waters. Therefore, here I present and prove an experimental polynomial function for carbonate estimation with the following equation based on the concentration of bicarbonate: [CO ] = -2.878E-7 ± 5.438E-8 × [HCO ] + 0.069±0.003 × [HCO ] This Boros's carbonate estimation method can contribute to a more efficient evaluation of field water samples with several analytical difficulties.•Bicarbonate can be reliably estimated using the Advanced Speciation Method (ASM).•Estimation of the carbonate concentration using ASM in the presence of interfering acid/base factors in alkaline waters.•Experimental polynomial function for reliable carbonate estimation in alkaline soda waters.

摘要

天然内陆碱性苏打水形成了一种特殊类型的盐水,其特点是具有永久性的碱性化学性质。在许多情况下,仅报告通过甲基橙滴定法测得的总碱度,而没有酚酞滴定法的数据。因此,从总碱度可靠地估算碳酸盐对于精确的科学化学分类至关重要。如果有甲基橙总碱度滴定和pH数据,使用先进形态分析法(ASM)可以可靠地估算水中碳酸氢根[HCO₃⁻]的浓度,而当天然水中存在大量具有酸碱性质的干扰因素(如磷酸盐、硅酸盐、氨等)时,ASM无法可靠地估算碳酸根[CO₃²⁻]的浓度。因此,在此我提出并证明了一个用于估算碳酸盐的实验多项式函数,其基于碳酸氢根浓度的方程如下:[CO₃²⁻] = -2.878E - 7 ± 5.438E - 8 × [HCO₃⁻] + 0.069 ± 0.003 × [HCO₃⁻] 这种博罗什碳酸盐估算方法有助于更有效地评估存在若干分析困难的野外水样。

• 使用先进形态分析法(ASM)可以可靠地估算碳酸氢根。

• 在碱性水中存在干扰酸碱因素的情况下,使用ASM估算碳酸根浓度。

• 用于在碱性苏打水中可靠估算碳酸盐的实验多项式函数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7012/10122047/9eb489b42b66/ga1.jpg

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