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具有高信噪比拉曼光谱测量功能的3D打印经济型多模态拉曼探针的研制

Development of a 3D Printing-Enabled Cost-Effective Multimodal Raman Probe with High Signal-to-noise Ratio Raman Spectrum Measurements.

作者信息

Nettey-Oppong Ezekiel Edward, Ali Ahmed, Ahn Jiwon, Muhammad Riaz, Lee Hyun Jin, Jeong Hyun-Woo, Byun Kyung Min, Choi Seung Ho

机构信息

Department of Biomedical Engineering, Yonsei University, Wonju 26493, Republic of Korea.

Department of Electrical Engineering, Sukkur IBA University, Sukkur 65200, Pakistan.

出版信息

ACS Omega. 2024 Sep 20;9(42):42822-42838. doi: 10.1021/acsomega.4c04676. eCollection 2024 Oct 22.

DOI:10.1021/acsomega.4c04676
PMID:39464463
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11500145/
Abstract

Raman spectroscopy has emerged as a pivotal analytical instrument, valued for its nondestructive capabilities and its capacity to provide essential material-specific insights. However, the excessive costs associated with commercially available Raman instruments present a barrier to their accessibility for many academic institutions and broader usage. Herein, we introduce an affordable and accessible approach to constructing a versatile Raman instrument capable of accommodating both spectroscopic and microscopic analyses. Through this multimodal approach that concurrently captures Raman signal and image data, we demonstrate color-based alcohol detection, showcase a high signal-to-noise ratio achieved through meticulous hardware design and signal processing, and present a cost-effective, modular design utilizing 3D printing technology. This system offers adaptability to address diverse research needs and requirements. We systematically detail the fabrication process, including the utilization of a 3D printer to produce necessary components, ultimately resulting in the assembly of a functional Raman probe system. Our experiments and subsequent analyses substantiate the accuracy and reliability of the constructed system. Specifically, we conducted experiments involving three distinct samples: water, ethanol, and methanol using the Raman probe, successfully confirming their unique Raman spectra. Furthermore, our Raman probe accurately identified ethanol concentration by assessing mixed samples with varying water-to-ethanol ratios and demonstrated a coefficient of determination value of 0.9993. This underscores the performance of the constructed Raman probe and positions it as a viable option for characterization, particularly in regions where access to conventional Raman probe may be limited.

摘要

拉曼光谱已成为一种关键的分析仪器,因其无损检测能力以及提供重要的特定材料见解的能力而受到重视。然而,市售拉曼仪器的高昂成本对许多学术机构而言是使用障碍,限制了其更广泛的应用。在此,我们介绍一种经济实惠且易于实现的方法来构建一种多功能拉曼仪器,该仪器能够同时进行光谱分析和微观分析。通过这种同时捕获拉曼信号和图像数据的多模态方法,我们展示了基于颜色的酒精检测,通过精心的硬件设计和信号处理实现了高信噪比,并展示了利用3D打印技术的经济高效的模块化设计。该系统具有适应性,可满足各种研究需求。我们系统地详细介绍了制造过程,包括利用3D打印机生产必要部件,最终组装成一个功能齐全的拉曼探针系统。我们的实验及后续分析证实了所构建系统的准确性和可靠性。具体而言,我们使用拉曼探针对水、乙醇和甲醇这三种不同的样品进行了实验,成功确认了它们独特的拉曼光谱。此外,我们的拉曼探针通过评估不同水与乙醇比例的混合样品准确鉴定了乙醇浓度,并展示了0.9993的决定系数值。这突出了所构建拉曼探针的性能,并使其成为表征的可行选择,特别是在获取传统拉曼探针可能受限的地区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14a1/11500145/fd025549011c/ao4c04676_0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14a1/11500145/d2d2d3167ebb/ao4c04676_0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14a1/11500145/38590ca22fa9/ao4c04676_0008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14a1/11500145/fd025549011c/ao4c04676_0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14a1/11500145/d2d2d3167ebb/ao4c04676_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14a1/11500145/9b480fee36cd/ao4c04676_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14a1/11500145/2c16da2c310d/ao4c04676_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14a1/11500145/0161aebc8701/ao4c04676_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14a1/11500145/e65759a49760/ao4c04676_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14a1/11500145/9783ebad0b03/ao4c04676_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14a1/11500145/1ef5c43758b7/ao4c04676_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14a1/11500145/38590ca22fa9/ao4c04676_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14a1/11500145/e3c5f85c7705/ao4c04676_0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14a1/11500145/fd025549011c/ao4c04676_0010.jpg

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Raman ConvMSANet: A High-Accuracy Neural Network for Raman Spectroscopy Blood and Semen Identification.拉曼ConvMSANet:用于拉曼光谱血液和精液识别的高精度神经网络。
ACS Omega. 2023 Aug 11;8(33):30421-30431. doi: 10.1021/acsomega.3c03572. eCollection 2023 Aug 22.
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Raman Spectroscopy: A Tool for Molecular Fingerprinting of Brain Cancer.
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ACS Omega. 2023 Jul 27;8(31):27845-27861. doi: 10.1021/acsomega.3c01848. eCollection 2023 Aug 8.
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Simple, Fast and Convenient Magnetic Bead-Based Sample Preparation for Detecting Viruses via Raman-Spectroscopy.基于磁珠的简便、快速、便捷的样本制备方法,用于通过拉曼光谱法检测病毒。
Biosensors (Basel). 2023 May 30;13(6):594. doi: 10.3390/bios13060594.
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Designed Growth of AgNP Arrays for Anti-counterfeiting Based on Surface-Enhanced Raman Spectroscopy Signals.基于表面增强拉曼光谱信号的用于防伪的银纳米颗粒阵列的设计生长
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