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Updated: Jun 9, 2025

Collection and Extraction of Occupational Air Samples for Analysis of Fungal DNA
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Collection and Extraction of Occupational Air Samples for Analysis of Fungal DNA

Published on: May 2, 2018

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通过流量空气采样器的采样效率:采样速率的影响

Qiu-Liang Cai1, Lei Tong2, Ning Zhong3

  • 1Guangxi Key Laboratory of Urban Water Environment & Key Laboratory of Guangxi Universities in Ecological Environment Analysis and Pollution Control in the Western Guangxi, Baise University, Baise 533000, China; Key Laboratory of Urban Environment and Health & Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.

Journal of chromatography. A
|October 31, 2024
PubMed
概括

在收集空气污染物的过程中,通过流量采样器 (FTS) 的性能取决于风速. 较高的风速对挥发性化合物的影响更大,同时影响不那么挥发性化合物的突破量. 这项研究预测了用于准确大气监测的收集效率.

关键词:
突破的数量突破的数量.通过流量采样器进行采样.额头色谱理论 额头色谱理论在 LSERER 中.采样率 采样率 采样率理论上的车牌号码.

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Sampling Theorem01:15

Sampling Theorem

In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
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Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Sampling Methods: Sample Types

Sampling materials are classified into three main types: solid, liquid, and gas.
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Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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Bandpass Sampling

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Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

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