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Updated: May 17, 2025

High-Throughput Measurement and Classification of Organic P in Environmental Samples
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提高氧化有机气溶的差异化:一种机器学习方法来区分本地和跨境污染

Lu Lei1, Wei Xu2, Chunshui Lin3

  • 1School of Natural Sciences, Ryan Institute's Centre for Climate & Air Pollution Studies, University of Galway, Galway, H91 CF50 Ireland.

ACS ES&T air
|May 15, 2025
PubMed
概括

机器学习增强了都柏林有氧有机气溶源的分配. 一个新的模型区分了局部污染和运输污染,揭示了局部供暖是清洁空气战略的关键来源.

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Atomic Emission Spectroscopy: Interference01:30

Atomic Emission Spectroscopy: Interference

In atomic emission spectroscopy (AES), high-temperature atomizers excite a broad range of elements and molecules that generate complex emissions from sources such as oxides, hydroxides, and flame combustion products in the flame or plasma. Several strategies can be employed to minimize spectral interferences caused by overlapping emission lines or bands. These include increasing instrument resolution, choosing alternative emission lines, optimally placing the detector in low-background regions,...
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Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
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