Photoacoustics最新文献

Ultrafast subwavelength CVD-graphene nanoheater for the generation of broadband photoacoustic waves 用于产生宽带光声波的超快亚波长cvd -石墨烯纳米加热器

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2026-01-13 DOI: 10.1016/j.pacs.2026.100796

A. Rezaei , D.A. Pereira , G.V. Bianco , G. Bruno , A. Mrzel , L.G. Arnaut , C. Serpa , M. Jezeršek , D. Vella

Efficient operation of light-to-pressure transducers and flexible fabrication on demand are key factors for the use of photoacoustic devices in various biomedical disciplines. Graphene layers can be grown at wafer scale and transferred to any surface geometry, providing a versatile approach for the development of photoacoustic emitters with a large and nearly uniform thermal interface. Here we report the picosecond excitation of a photoacoustic emitter consisting of a large-area, 10-layer graphene grown by chemical vapour deposition and encapsulated with a polydimethylsiloxane. The theoretical and experimental studies address the generation of broadband ultrasounds upon excitation with nanosecond and picosecond laser pulses, showing how the multilayer graphene can serve as an ultrafast nanoheater to drive efficient expansion of the adjacent polymer layer in the picosecond regime. The picosecond excitation results in a sharper acoustic waveform, and the pressure evolution time is twice as short with a 30 ps excitation as with a 6 ns pulse, thus satisfying the thermal and stress confinement conditions, while energy loss occurs with nanosecond excitation. We experimentally observed that the 10-layer graphene/polydimethylsiloxane generates a high-frequency photoacoustic wave with a bandwidth of about 110 MHz at −6 dB, increasing to 250 MHz at −20 dB, due to stress confinement, increased thermal interface, and ultrafast dynamics. The peak pressure of 0.85 MPa in 3.4 nm thick graphene multilayers (∼20 % absorption of 40 mJ cm^–2) is remarkably high, demonstrating its potential as a photoacoustic material and the advantages of combining picosecond excitation with large-area graphene in wave transmission technologies.

光压换能器的高效运行和灵活的按需制造是光声器件在各种生物医学学科中使用的关键因素。石墨烯层可以在晶圆尺度上生长并转移到任何表面几何形状，为开发具有大且几乎均匀热界面的光声发射器提供了一种通用方法。在这里，我们报道了皮秒激发的光声发射器，该发射器由化学气相沉积生长的大面积10层石墨烯组成，并被聚二甲基硅氧烷封装。理论和实验研究解决了在纳秒和皮秒激光脉冲激发下产生宽带超声波的问题，展示了多层石墨烯如何作为超快纳米加热器来驱动相邻聚合物层在皮秒范围内的有效膨胀。皮秒激励的声波波形更清晰，30 ps激励的压力演化时间是6 ns激励的两倍，满足热约束和应力约束条件，而纳秒激励会产生能量损失。我们通过实验观察到，由于应力约束、热界面增加和超快动力学，10层石墨烯/聚二甲基硅氧烷在- 6 dB时产生高频光声波，带宽约为110 MHz，在- 20 dB时增加到250 MHz。3.4 nm厚的石墨烯多层膜的峰值压力为0.85 MPa (40 mJ cm-2的吸收率约为20% %)，这表明了其作为光声材料的潜力，以及皮秒激发与大面积石墨烯结合在波传输技术中的优势。

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引用次数: 0

Attention-driven complementary information fusion network for sparse photoacoustic image reconstruction 基于注意力驱动的互补信息融合网络的稀疏光声图像重建

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2026-01-09 DOI: 10.1016/j.pacs.2026.100797

Yixin Lai , Qiong Zhang , Zhengnan Yin

Photoacoustic tomography (PAT) is an emerging biomedical imaging modality that uniquely combines high spatial resolution with deep tissue penetration in a non-invasive manner, holding significant promise for diverse applications. However, image reconstruction quality in PAT severely degrades under limited-view data acquisition scenarios, such as those imposed by the physical constraints of intracavitary imaging. Conventional reconstruction methods (e.g., Delay-and-Sum, DAS) under these conditions typically yield images plagued by severe artifacts and loss of fine structural details. While deep learning (DL) approaches offer some improvement, existing post-processing methods still struggle to accurately recover intricate anatomical features from severely undersampled, limited-view data, often resulting in blurred details or persistent artifacts. To address these critical limitations, we propose DUAFF-Net, a novel dual-stream deep learning architecture. DUAFF-Net uniquely processes two complementary input representations in parallel: 1) conventional DAS reconstructions, and 2) pixel-wise interpolated raw data. The network employs a sophisticated two-stage feature fusion strategy to maximize information extraction and synergy. In the first stage, the Multi-scale Information Aggregation and Feature-refinement Module (MIAF-Module) enables early-stage cross-modal information complementarity and feature enhancement. Subsequently, the Global Context and Deep Fusion Module (GCDF-Module) focuses on holistic feature optimization and deep integration across the streams. These modules work synergistically to progressively refine the reconstruction. Extensive experiments on simulated PAT datasets of retinal vasculature and complex brain structures, as well as an in vivo mouse abdomen dataset, demonstrate that DUAFF-Net robustly generates high-quality images even under highly incomplete data conditions. Quantitative evaluation shows that DUAFF-Net achieves substantial improvements over the standard DAS algorithm, with gains of ∼18.38 dB in Peak Signal-to-Noise Ratio (PSNR) and ∼0.69 in Structural Similarity Index (SSIM). Furthermore, DUAFF-Net consistently outperforms other state-of-the-art DL-based reconstruction models across multiple metrics, demonstrating its superior capability in preserving fine details and suppressing artifacts, thereby establishing comprehensive performance advantages for limited-view PAT reconstruction.

光声断层扫描（PAT）是一种新兴的生物医学成像方式，它以非侵入性的方式将高空间分辨率与深层组织渗透相结合，具有广泛的应用前景。然而，在有限视点数据采集场景下，如腔内成像的物理约束，PAT的图像重建质量严重下降。在这些条件下，传统的重建方法（例如，Delay-and-Sum， DAS）通常会产生严重伪影和精细结构细节丢失的图像。虽然深度学习（DL）方法提供了一些改进，但现有的后处理方法仍然难以从严重采样不足、视野有限的数据中准确恢复复杂的解剖特征，这通常会导致细节模糊或持久的伪影。为了解决这些关键的限制，我们提出了DUAFF-Net，一种新的双流深度学习架构。duaf - net唯一地并行处理两个互补的输入表示：1)传统的DAS重建，以及2)逐像素插值的原始数据。该网络采用复杂的两阶段特征融合策略，最大限度地提取信息和协同。在第一阶段，多尺度信息聚合和特征细化模块（MIAF-Module）实现早期的跨模态信息互补和特征增强。随后，Global Context and Deep Fusion Module （GCDF-Module）侧重于整体特征优化和跨流深度融合。这些模块协同工作，逐步完善重建。在视网膜血管和复杂脑结构的模拟PAT数据集以及体内小鼠腹部数据集上进行的大量实验表明，即使在高度不完整的数据条件下，duaf - net也能鲁棒地生成高质量的图像。定量评估表明，与标准DAS算法相比，DUAFF-Net实现了实质性改进，峰值信噪比（PSNR）的增益为~ 18.38 dB，结构相似性指数（SSIM）的增益为~ 0.69。此外，duaf - net在多个指标上始终优于其他最先进的基于dl的重建模型，展示了其在保留精细细节和抑制工件方面的卓越能力，从而为有限视图PAT重建建立了全面的性能优势。

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引用次数: 0

Vascular graph network for ovarian lesion classification using optical-resolution photoacoustic microscopy 使用光学分辨率光声显微镜进行卵巢病变分类的血管图网络

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-12-30 DOI: 10.1016/j.pacs.2025.100794

Yixiao Lin , Lukai Wang , Ian S. Hagemann , Lindsay M. Kuroki , Brooke E. Sanders , Andrea R. Hagemann , Cary Siegel , Matthew A. Powell , Quing Zhu

Diagnosing ovarian lesions is challenging because of their heterogeneous clinical presentations. Some benign ovarian conditions, such as endometriosis, can have features that mimic cancer. We use optical-resolution photoacoustic microscopy (OR-PAM) to study the differences in ovarian vasculature between cancer and various benign conditions. In this study, we converted OR-PAM vascular data into vascular graphs augmented with physical vascular properties. From 94 ovarian specimens, a custom vascular graph network (VGN) was developed to classify each graph as either normal ovary, one of three benign pathologies, or cancer. We demonstrated for the first time that, by leveraging the intrinsic similarity between vascular networks and graph constructs, VGN provides stable predictions from sampling surface areas as small as 3 mm× 0.12 mm. In diagnosing cancer, VGN achieved 79.5 % accuracy and an area under the receiver operating characteristic curve (AUC) of 0.877. Overall, VGN achieved a five-class classification accuracy of 73.4 %.

诊断卵巢病变是具有挑战性的，因为他们的异质临床表现。一些良性卵巢疾病，如子宫内膜异位症，可能具有类似癌症的特征。我们使用光学分辨率光声显微镜（OR-PAM）来研究卵巢血管在癌症和各种良性疾病之间的差异。在这项研究中，我们将OR-PAM血管数据转换成血管图形，并增强了血管的物理特性。从94个卵巢标本中，开发了一个自定义血管图网络（VGN），将每个图分类为正常卵巢、三种良性病理之一或癌症。我们首次证明，通过利用血管网络和图结构之间的内在相似性，VGN可以从小至3 mmx 0.12 mm的采样表面积中提供稳定的预测。在诊断癌症方面，VGN的准确率为79.5 %，受者工作特征曲线下面积（AUC）为0.877。总体而言，VGN实现了73.4 %的五类分类准确率。

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引用次数: 0

Detecting parts-per-billion carbon monoxide with an ultra-enhanced near-infrared photoacoustic sensor 用超增强型近红外光声传感器检测十亿分之一的一氧化碳

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-12-18 DOI: 10.1016/j.pacs.2025.100790

Yaopeng Cheng , Ting Chen , Ruili Zhang , Sailing He

An ultra-enhanced near-infrared (NIR) photoacoustic gas sensor was developed by integrating three enhancing techniques: (a) boosting the excitation power up to 2 W via a custom-built large-mode erbium doped fiber amplifier (EDFA), (b) exploiting the acoustic resonance amplification of a hyperbolic nonlinear resonator (HNR), and (c) increasing the effective absorption path length by using a near-concentric multipass cavity (MPC) with 20 reflections. A weak CO absorption line at 1566.64 nm with the intensity of 2.074 × 10⁻²³ cm/molecule was selected. The photoacoustic signal was enhanced 396 times. A minimum detection limit (MDL) of 190 ppb at 10 s was achieved and can be improved to be 11.4 ppb according to the Allan analysis, which was comparable to a mid-infrared (MIR) photoacoustic sensor. The ultra-enhanced NIR photoacoustic sensor is a cost-effective solution for the ppb-level trace gas detection, offering a price that is less than one-third that of MIR photoacoustic sensors.

通过集成三种增强技术，开发了一种超增强近红外（NIR）光声气体传感器：(a)通过定制的大模掺铒光纤放大器（EDFA）将激发功率提高到2 W， (b)利用双曲非线性谐振器（HNR）的声共振放大，以及(c)通过使用近同心多通腔（MPC）增加有效吸收路径长度。在1566.64 nm处，选择了一条强度为2.074 × 10−23 cm/分子的弱CO吸收谱线。光声信号增强396倍。在10 s下实现了190 ppb的最小检测限（MDL），根据Allan分析可以提高到11.4 ppb，这与中红外（MIR）光声传感器相当。超增强型近红外光声传感器是一种具有成本效益的解决方案，用于ppb级痕量气体检测，其价格不到MIR光声传感器的三分之一。

引用次数: 0

Dual-comb photoacoustic and photothermal spectroscopy: A comprehensive review 双梳光声光热光谱学综述

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-12-12 DOI: 10.1016/j.pacs.2025.100789

Chenghong Zhang , Jacopo Pelini , Stefano Dello Russo , Paolo De Natale , Mario Siciliani de Cumis , Simone Borri

Dual-comb spectroscopy is one of the most powerful techniques for multispecies trace-gas sensing, attracting growing attention in both theoretical and experimental research. Firstly demonstrated and usually applied with direct absorption spectroscopy schemes, the dual-comb approach has been successfully combined with techniques like photoacoustic (PA) and photothermal (PT) spectroscopy in recent years. These techniques have been demonstrated to be particularly attractive because of their wavelength-independent and background-free detection, two key features allowing for the achievement of unprecedented dynamic range and flexibility. The integration of these techniques with dual-comb spectroscopy allows a significant enhancement in spectral resolution and bandwidth while preserving the peculiar features of PA and PT spectroscopy. Since the first proof-of-principle demonstration of dual-comb PA spectroscopy, several solutions based on acoustic transducers and optical cavities have been proposed to enhance the final sensitivity and optimize both detection bandwidth and spectral resolution. Starting from the description of the physical principles behind dual-comb PA and PT spectroscopy, this work presents a comprehensive review of the available state-of-the-art, focusing both on the different experimental setups and on a systematic comparison of the achieved results. Finally, the main challenges and prospects will be discussed, offering insights into potential directions for further innovation.

双梳光谱技术是多组分痕量气体传感技术中最强大的技术之一，在理论和实验研究中都受到越来越多的关注。近年来，双梳方法与光声（PA）、光热（PT）等技术成功结合，首次在直接吸收光谱方案中得到验证并得到应用。这些技术被证明是特别有吸引力的，因为它们的波长无关和无背景检测，两个关键特征允许实现前所未有的动态范围和灵活性。这些技术与双梳光谱的集成可以显著提高光谱分辨率和带宽，同时保留PA和PT光谱的特有特征。自首次双梳PA光谱原理验证以来，已经提出了几种基于声换能器和光学腔的解决方案，以提高最终灵敏度，优化检测带宽和光谱分辨率。从描述双梳PA和PT光谱背后的物理原理开始，这项工作对现有的最先进技术进行了全面的回顾，重点是不同的实验设置和已取得结果的系统比较。最后，将讨论主要挑战和前景，并提供进一步创新的潜在方向。

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引用次数: 0

Design and characterisation of intervertebral disc mimicking phantoms for photoacoustic imaging 用于光声成像的椎间盘模拟幻象的设计和表征

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-12-10 DOI: 10.1016/j.pacs.2025.100783

Roman Allais , Valentin Espinas , Antoine Capart , Anabela Da Silva , Olivier Boiron

Photoacoustics has gained momentum as a new medical imaging technique owing to its ability to benefit from good optical contrast and acoustic resolution. To ease transfer into clinical settings and validate the algorithms, calibrated tissue-mimicking materials (TMM) are required. This paper describes a complete photoacoustic characterisation of a line of titanium dioxide (TiO₂) doped agarose hydrogels whose optical absorption (490–835 nm), reduced scattering (590–815 nm), isobaric heat capacity, mass density, speed of sound and acoustic attenuation were quantified for an agarose concentration up to 4% w/w and a TiO₂ concentration ranging from 0.25 to 1 mg/mL. Empirical constitutive laws as a function of the concentrations of the components were derived, enabling the creation of TMM with tailored properties. Results showed that these phantoms are suitable candidates to mimic the photoacoustic properties of various soft tissues including intervertebral discs (IVD). Photoacoustic probings performed on an IVD-mimicking phantom and six healthy porcine discs demonstrated the ability of these TMM to accurately replicate healthy IVD properties; this could serve as a first step towards an application of photoacoustic imaging to quantifying disc degeneration.

光声学作为一种新的医学成像技术，由于其具有良好的光学对比度和声学分辨率而获得了发展势头。为了便于转移到临床环境并验证算法，需要校准的组织模拟材料（TMM）。本文描述了一系列二氧化钛（TiO2）掺杂琼脂糖水凝胶的完整光声表征，其光吸收（490-835 nm），减少散射（590-815 nm），等压热容，质量密度，声速和声衰减在琼脂糖浓度高达4% w/w和TiO2浓度范围为0.25至1 mg/mL时被量化。经验本构定律作为成分浓度的函数被推导出来，使TMM具有量身定制的特性。结果表明，这些幻象是模拟包括椎间盘在内的各种软组织的光声特性的合适候选者。在模拟IVD的假体和六个健康的猪椎间盘上进行的光声探测表明，这些TMM能够准确地复制健康的IVD特性；这可以作为应用光声成像定量椎间盘退变的第一步。

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引用次数: 0

Photoacoustic imaging: An emerging tool for intraoperative margin assessment in breast-conserving surgery 光声成像：保乳手术术中边缘评估的新兴工具

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-12-09 DOI: 10.1016/j.pacs.2025.100788

Zhijie Luo , Yiqiong Zheng , Ruixi Sun , Wenye Gong , Jiayu Wang , Guangwei Chen , Ye Zhang , Runqi Zhao , Daohuai Jiang , Fei Gao , Xiru Li

Photoacoustic Imaging (PAI) synergizes light's optical contrast with ultrasound's penetration depth via the photoacoustic effect. Breast cancer remains a global challenge, particular demanding precise intraoperative tumor demarcation during breast-conserving surgery (BCS). PAI has the potential to address this need by enabling boundary delineation, promoting complete resection and healthy tissue preservation. This review summarizes breast cancer epidemiology and BCS's clinical demands, highlighting PAI's unique advantages for intraoperative use. PAI can dynamically monitor cellular/tissue morphology, blood oxygen saturation, vasculature, and tumor-associated calcifications, generating high-contrast tumor margin information. This real-time feedback enhances surgical precision, reduces recurrence rates, and improves breast aesthetics and patient quality of life. Despite translational challenges, PAI is poised to become a revolutionary tool for optimizing BCS outcomes.

光声成像（PAI）通过光声效应将光的光学对比度与超声的穿透深度协同起来。乳腺癌仍然是一个全球性的挑战，特别是在保乳手术（BCS）中需要精确的术中肿瘤划分。PAI有可能通过实现边界划定，促进完全切除和健康组织保存来解决这一需求。本文综述了乳腺癌流行病学和BCS的临床需求，强调了PAI在术中应用的独特优势。PAI可以动态监测细胞/组织形态、血氧饱和度、脉管系统和肿瘤相关钙化，生成高对比度的肿瘤边缘信息。这种实时反馈提高了手术精度，降低了复发率，改善了乳房美观和患者的生活质量。尽管存在翻译方面的挑战，PAI仍有望成为优化BCS结果的革命性工具。

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引用次数: 0

GPU-accelerated volumetric-mosaic optical-resolution photoacoustic microscopy and quantifying tumor vasculature growth gpu加速体积镶嵌光学分辨率光声显微镜和定量肿瘤血管生长

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-11-19 DOI: 10.1016/j.pacs.2025.100786

Thanh Dat Le , Thi Thao Mai , Qiwei Lin , Xingshu Li , Jung-Joon Min , Changho Lee

Tumor growth is closely linked to vascular remodeling, yet comprehensive volumetric imaging of tumor vasculature using photoacoustic microscopy (PAM) remains challenging due to limitations in the field of view, depth penetration, and processing speed. Herein, we present hybrid scanning-based optical-resolution PAM integrated with a GPU-accelerated 3D mosaic and quantification framework for label-free high-resolution monitoring of tumor angiogenesis. Our system employs an optimized mosaic-matching method to achieve large volumetric FOVs (up to 10 × 10 × 2.5 mm³) and supports full 3D reconstruction. In addition, GPU-based parallel processing was applied to enable rapid 3D quantification of vasculature in terms of vessel diameter, density, and branching complexity. The enhanced GPU-based computational framework accelerated the 3D mosaicking and quantification analysis by approximately twofold relative to CPU-based processing. Longitudinal monitoring in a nude-mouse 4T1 breast tumor model over 11 days revealed progressive vascular remodeling and angiogenesis during tumor progression. Our approach overcomes the existing constraints on using PAM by combining hardware-efficient hybrid scanning with GPU-accelerated 3D mosaicking and vasculature quantification. This provides a powerful tool for in vivo tumor vasculature imaging and quantitative analysis, thereby advancing cancer diagnosis and clinical treatment process in future.

肿瘤生长与血管重构密切相关，但由于视野、穿透深度和处理速度的限制，利用光声显微镜（PAM）对肿瘤血管进行全面的体积成像仍然具有挑战性。在这里，我们提出了基于混合扫描的光学分辨率PAM，集成了gpu加速的3D马赛克和量化框架，用于无标记的高分辨率肿瘤血管生成监测。我们的系统采用优化的马赛克匹配方法来实现大体积fov（高达10 × 10 × 2.5 mm³），并支持全3D重建。此外，基于gpu的并行处理应用于血管直径，密度和分支复杂性方面的快速3D量化。增强的基于gpu的计算框架相对于基于cpu的处理，将3D拼接和量化分析的速度提高了大约两倍。裸鼠4T1乳腺肿瘤模型11天的纵向监测显示，肿瘤进展过程中血管重构和血管生成渐进性。我们的方法通过将硬件高效混合扫描与gpu加速的3D镶嵌和血管定量相结合，克服了使用PAM的现有限制。这为体内肿瘤血管成像和定量分析提供了有力的工具，从而推动了未来癌症的诊断和临床治疗进程。

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引用次数: 0

Low frequency detection in clinical multispectral optoacoustic tomography 临床多光谱光声断层扫描中的低频检测

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-11-17 DOI: 10.1016/j.pacs.2025.100785

Maximilian Bader , Antonia Longo , Dominik Jüstel , Vasilis Ntziachristos

Frequency response characterization of optoacoustic (photoacoustic) detectors is critical because the signals are broadband, and the center frequency relates to the absorber size. We were particularly interested in studying the sub-1 megahertz response, which enables imaging of low spatial frequencies associated with resolving organs up to centimeter size. State-of-the-art characterization methods fail to measure this kilohertz frequency response reliably, leading to an incomplete understanding of the largest structures captured in an optoacoustic image. Herein, we developed an experimental arrangement to identify the lowest measurable frequency of an optoacoustic detector. We observe that a common optoacoustic detector with a 3.4 megahertz center frequency and 72 % 3 dB bandwidth can capture signals as low as 75 kilohertz. Given insufficient characterization methods, we also investigate artifacts triggered by image reconstruction with an erroneous kilohertz frequency response. Collectively, our work discusses the impact of incorporating low frequencies on optoacoustic image fidelity.

光声（光声）探测器的频率响应特性至关重要，因为信号是宽带的，中心频率与吸收器尺寸有关。我们对研究1兆赫以下的响应特别感兴趣，这使得与分辨厘米大小的器官相关的低空间频率成像成为可能。最先进的表征方法无法可靠地测量这种千赫兹频率响应，导致对光声图像中捕获的最大结构的不完全理解。在此，我们开发了一种实验安排来确定光声探测器的最低可测量频率。我们观察到，具有3.4兆赫中心频率和72 % 3 dB带宽的普通光声探测器可以捕获低至75千赫兹的信号。鉴于表征方法不足，我们还研究了由错误的千赫兹频率响应的图像重建引发的伪像。总的来说，我们的工作讨论了低频对光声图像保真度的影响。

引用次数: 0

Ultra-miniature and sensitive optical fiber-tip optomechanical resonant photoacoustic spectroscopy gas sensors 超微型灵敏光纤尖端光机械谐振光声光谱气体传感器

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-11-13 DOI: 10.1016/j.pacs.2025.100784

Taige Li , Pengcheng Zhao , Peng Wang , Shangming Liu , Linhao Guo , Wei Jin , A. Ping Zhang

Optomechanical resonator (OMR)-based photoacoustic spectroscopy (PAS) sensors have garnered significant attention for ultra-sensitive and selective trace-gas detection. However, it remains challenging for optomechanical resonant PAS (OMR-PAS) sensors to achieve both high sensitivity and miniature size for trace-gas detection with minimal consumption in space-constrained environments. Here, we present a monolithically designed optical fiber-tip OMR-PAS sensor, in which a micrometer-scale planar-spiral-spring OMR (PSS-OMR) is 3D micro-printed on the end face of optical fiber, enabling ultrasensitive gas sensing with nanoliter-level consumption. Compared to off-resonance operation, this fiber-tip OMR-PAS sensor operating in resonance mode produces a significantly stronger photoacoustic signal, improving the signal-to-noise ratio by more than five times. The sensor can detect acetylene gas at 55 ppb without the need for an additional photoacoustic cell. Its response time can be as fast as 0.2 s. This ultra-miniature and highly sensitive fiber-tip OMR-PAS sensor may become a powerful tool for various trace-gas monitoring applications.

基于光机械谐振器（OMR）的光声光谱（PAS）传感器在超灵敏和选择性痕量气体检测方面受到了广泛关注。然而，对于光机械谐振PAS （OMR-PAS）传感器来说，在空间受限的环境中以最小的消耗实现高灵敏度和小型化的痕量气体检测仍然是一个挑战。在这里，我们提出了一种单片设计的光纤尖端OMR- pas传感器，其中微米尺度的平面螺旋弹簧OMR （PSS-OMR）被3D微打印在光纤的端面上，实现了纳米级消耗的超灵敏气体传感。与非共振工作相比，这种光纤尖端OMR-PAS传感器在共振模式下工作，产生了明显更强的光声信号，将信噪比提高了5倍以上。该传感器可以检测55 ppb的乙炔气体，而不需要额外的光声电池。它的响应时间可以快到0.2 s。这种超小型和高灵敏度的光纤尖端OMR-PAS传感器可能成为各种痕量气体监测应用的强大工具。

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引用次数: 0