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A high-efficiency real-time digital signal averager for time-of-flight mass spectrometry

Authors :
Yinan Wang
Nan Li
Wei Gao
Xi Wang
Hui Xu
Husheng Liu
Haijun Liu
Zhen Zhou
Zhaolin Sun
Qingjiang Li
Hongqi Yu
David Day-Uei Li
Zhengxu Huang
Xin Xu
Xiuzhen Dong
Source :
Rapid Communications in Mass Spectrometry. 27:1155-1167
Publication Year :
2013
Publisher :
Wiley, 2013.

Abstract

RATIONALE Analog-to-digital converter (ADC)-based acquisition systems are widely applied in time-of-flight mass spectrometers (TOFMS) due to their ability to record the signal intensity of all ions within the same pulse. However, the acquisition system raises the requirement for data throughput, along with increasing the conversion rate and resolution of the ADC. It is therefore of considerable interest to develop a high-performance real-time acquisition system, which can relieve the limitation of data throughput. METHODS We present in this work a high-efficiency real-time digital signal averager, consisting of a signal conditioner, a data conversion module and a signal processing module. Two optimization strategies are implemented using field programmable gate arrays (FPGAs) to enhance the efficiency of the real-time processing. A pipeline procedure is used to reduce the time consumption of the accumulation strategy. To realize continuous data transfer, a high-efficiency transmission strategy is developed, based on a ping-pong procedure. RESULTS The digital signal averager features good responsiveness, analog bandwidth and dynamic performance. The optimal effective number of bits reaches 6.7 bits. For a 32 μs record length, the averager can realize 100% efficiency with an extraction frequency below 31.23 kHz by modifying the number of accumulation steps. In unit time, the averager yields superior signal-to-noise ratio (SNR) compared with data accumulation in a computer. CONCLUSIONS The digital signal averager is combined with a vacuum ultraviolet single-photon ionization time-of-flight mass spectrometer (VUV-SPI-TOFMS). The efficiency of the real-time processing is tested by analyzing the volatile organic compounds (VOCs) from ordinary printed materials. In these experiments, 22 kinds of compounds are detected, and the dynamic range exceeds 3 orders of magnitude.

Details

ISSN :
09514198
Volume :
27
Database :
OpenAIRE
Journal :
Rapid Communications in Mass Spectrometry
Accession number :
edsair.doi...........4450c93d013e337be701394f0da9a4b8