一种快速的技术来识别环境中的诺基诺抗生素 (FQ) 残留物
Nahin Mostofa Niloy1,2, Fahmida Parvin1, Shafi M Tareq1
1Hydrobiogeochemistry and Pollution Control Laboratory, Department of Environmental Sciences, Jahangirnagar University, Dhaka 1342, Bangladesh.
MethodsX
|April 16, 2025
概括
诺基诺 (FQ) 抗生素是新出现的污染物. 本研究提出了一种简单的光光谱技术,用于识别和量化环境样本中的FQs,将其与性物质区分开来.
科学领域:
- 环境化学环境化学
- 分析化学 分析化学
- 频谱学是一种光谱学.
背景情况:
- 诺基诺 (FQ) 抗生素被广泛使用,导致它们作为环境污染物的出现.
- 现有的光光谱法难以区分FQ和性物质 (HS),因为它们的光谱范围重叠.
研究的目的:
- 开发一种简单的光谱技术,用于环境样本中FQs的明显识别和量化.
- 为了克服在复杂混合物中区分FQs和湿性物质的挑战.
主要方法:
- 使用光谱学,特别是激发发射矩阵 (EEM) 和并行因子分析 (PARAFAC).
- 在特定的激发和发射波长下,确定了FQ和HS的特征性光体.
- 开发了一种方法来区分FQ和HS的光谱特征,即使在混合物中.
主要成果:
- 使用 PARAFAC 分析为 FQ 和 HS 建立了不同的光谱指纹.
- 证明FQs在275nm激发时在辐射<350nm时表现出显著的光谱存在,使其与HS区分开来.
- 通过考虑激发/发射225-30/285-295 nm时的光体强度和在275 nm激发时的发射350 nm来实现FQs的量化.
结论:
- 开发的光谱技术可以在环境矩阵中可靠地识别FQ和HS.
- 该方法提供了一种简单的方法,用于环境样本中半量化FQ污染.
- 这些发现有助于更好地监测环境中的FQ污染.
关键词:
在混合物中明确识别FQs抗生素和无处不在的湿物质.激发发射矩阵 (EEM) 是一个激发发射矩阵.光光谱学是一种光谱学.诺基诺类抗生素是一种抗生素.胺物质是一种胺物质.这是一个PARAFAC模型.更多相关视频
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