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基于FPGA与NAND FLASH的多通道动态光散射自相关器

庄涵 陈检 邱健 骆开庆 彭力 徐炳权 刘冬梅 韩鹏 陈淼

自动化与信息工程2026,Vol.47Issue(2):9-17,9.
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自动化与信息工程2026,Vol.47Issue(2):9-17,9.DOI:10.12475/aie.20260202

基于FPGA与NAND FLASH的多通道动态光散射自相关器

Multi-channel Dynamic Light Scattering Autocorrelator Based on FPGA and NAND FLASH

庄涵 1陈检 2邱健 1骆开庆 1彭力 3徐炳权 1刘冬梅 1韩鹏 1陈淼1

作者信息

  • 1. 华南师范大学电子科学与工程学院(微电子学院)/广东省光电检测仪器工程技术研究中心,广东佛山 528225
  • 2. 广东工业大学实验教学部,广东 广州 510006
  • 3. 华南师范大学物理学院,广东 广州 510006
  • 折叠

摘要

Abstract

To improve the data reliability and measurement accuracy of multi-angle dynamic light scattering(MDLS),a multi-channel DLS autocorrelator based on field-programmable gate array(FPGA)and non-volatile memory(NAND FLASH)is developed.The proposed multi-channel DLS autocorrelator utilizes the FPGA to achieve a multi-channel parallel synchronous acquisition mechanism and autocorrelation calculation.A dual-level collaborative storage architecture and a four-stage data transmission architecture consisting of"acquisition-caching-storage-readback"are constructed using RAM data caching units and a NAND FLASH storage module.Experimental results obtained with four types of monodisperse and bimodal polystyrene standard particle suspensions show that the measured particle size distribution for monodisperse particles approaches the true distribution,and the inversion results for bimodal particle systems are in good agreement with the true distributions.These findings demonstrate that the developed multi-channel DLS autocorrelator can effectively enhance the reliability and accuracy of MDLS measurements,providing reliable hardware support for particle size analysis of complex particle systems.

关键词

多角度动态光散射/多通道自相关器/粒径分析/现场可编程门阵列/时间同步

Key words

multi-angle dynamic light scattering(MDLS)/multi-channel autocorrelator/particle size analysis/field-programmable gate array(FPGA)/time synchronization

分类

信息技术与安全科学

引用本文复制引用

庄涵,陈检,邱健,骆开庆,彭力,徐炳权,刘冬梅,韩鹏,陈淼..基于FPGA与NAND FLASH的多通道动态光散射自相关器[J].自动化与信息工程,2026,47(2):9-17,9.

基金项目

国家自然科学基金(62205110,62375089) (62205110,62375089)

广东省自然科学基金联合项目(2022A1515140139) (2022A1515140139)

广东省自然科学基金面上项目(2023A1515011452). (2023A1515011452)

自动化与信息工程

1674-2605

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