Analytical Chemistry最新文献_第2页

Sustainable Wearable Sensors for Plant Monitoring and Precision Agriculture. 用于植物监测和精准农业的可持续可穿戴传感器。

IF 7.4 1区化学

Analytical Chemistry Pub Date : 2025-06-20 DOI: 10.1021/acs.analchem.5c01565

Samiris Côcco Teixeira,Nathalia O Gomes,Taíla Veloso de Oliveira,Nilda F F Soares,Paulo A Raymundo-Pereira

{"title":"Sustainable Wearable Sensors for Plant Monitoring and Precision Agriculture.","authors":"Samiris Côcco Teixeira,Nathalia O Gomes,Taíla Veloso de Oliveira,Nilda F F Soares,Paulo A Raymundo-Pereira","doi":"10.1021/acs.analchem.5c01565","DOIUrl":"https://doi.org/10.1021/acs.analchem.5c01565","url":null,"abstract":"Wearable sensors are emerging and innovative tools in the realm of agriculture, offering new opportunities for sustainable plant monitoring practices. This perspective explores wearable sensor technology in plant monitoring to promote environmental sustainability and enhance agricultural productivity. Wearable sensors, capable of continuously tracking plant health indicators such as salinity, diseases, metabolites, pH, ions, pathogens, pesticides, parasites, phytohormones, nutrient status, moisture levels, and pest activity, provide real-time information to make precise and timely decisions. Farmers can use the diverse collected data to enhance resource use, reducing waste and the environmental impact of agricultural practices. Here, we highlight the current advancements in wearable sensor technology and explore potential applications in diverse agricultural settings, with the challenges and opportunities to be addressed to fully implement by the farming community. We also emphasize the sustainable and biodegradable substrates/supports relying on eco-friendly polymeric materials for the fabrication of cost-effective, flexible, durable, stable, and easily deployable sensor systems, which can be extensively applied by the agrifood sector. We provide a forward-looking perspective on how wearable sensors can contribute to more sustainable and efficient plant monitoring practices in precision agriculture. Given the disruptive innovation, wearable plant sensors were highlighted as Top 10 Emerging Technologies by World Economic Forum in 2023.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"6 1","pages":""},"PeriodicalIF":7.4,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144328895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantification of Endogenous Steroids and Hormonal Contraceptives in Human Plasma via Surrogate Calibration and UHPLC-MS/MS. 用代标法和UHPLC-MS/MS法定量人血浆中内源性类固醇和激素避孕药。

IF 7.4 1区化学

Analytical Chemistry Pub Date : 2025-06-20 DOI: 10.1021/acs.analchem.5c01912

Min Su,Bernhard Drotleff,Tamara Janker,Zoé Bürger,Ann-Christin S Kimmig,Birgit Derntl,Michael Lämmerhofer

{"title":"Quantification of Endogenous Steroids and Hormonal Contraceptives in Human Plasma via Surrogate Calibration and UHPLC-MS/MS.","authors":"Min Su,Bernhard Drotleff,Tamara Janker,Zoé Bürger,Ann-Christin S Kimmig,Birgit Derntl,Michael Lämmerhofer","doi":"10.1021/acs.analchem.5c01912","DOIUrl":"https://doi.org/10.1021/acs.analchem.5c01912","url":null,"abstract":"Quantifying endogenous and exogenous steroids at low concentrations in biological matrices remains a major analytical challenge. Immunoassay-based diagnostics are limited by cross-reactivity, particularly at low levels, prompting a shift toward (ultra)high-performance liquid chromatography-tandem mass spectrometry ((U)HPLC-MS/MS) for clinical applications. A key limitation for endogenous hormone quantification is the absence of a true blank matrix for external calibration. To address this, we developed a surrogate calibration method employing 1,2-dimethylimidazole-5-sulfonyl chloride (DMIS) derivatization for estrogens, enabling sensitive and selective quantification alongside nonderivatized steroids. Stable isotope-labeled surrogate calibrants and internal standards were used to achieve matrix-matched quantification within a clinically relevant range. Parallelism between analytes and surrogate calibrants was systematically verified in plasma across multiple calibration levels. The method was further optimized through the use of narrow-bore UHPLC columns and refined chromatographic conditions to enhance sensitivity and resolution for a broad analyte panel. Combined with efficient protein precipitation and 96-well plate-based solid-phase extraction, the developed assay achieves pg/mL-level quantification in human plasma with high precision and accuracy. This integrated approach uniquely combines surrogate calibration for endogenous steroids with external calibration for exogenous contraceptives, including sensitive DMIS-based derivatization for estrogens, enabling comprehensive hormonal profiling in a single run. Beyond its analytical scope, the method outlines a structured validation strategy, which is aligned with regulatory principles, and may therefore serve as a practical reference for future LC-MS/MS assays employing surrogate calibration.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"14 1","pages":""},"PeriodicalIF":7.4,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144328919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Levodopa Sensing with a Nanosensor Array via a Low-Cost Near Infrared Readout 基于低成本近红外读出的纳米传感器阵列左旋多巴传感

IF 7.4 1区化学

Analytical Chemistry Pub Date : 2025-06-20 DOI: 10.1021/acs.analchem.5c02320

Jan Stegemann, Matthias Niklas Augustin, Julia Ackermann, Nour el Houda Fizzi, Krisztian Neutsch, Markus Gregor, Svenja Herbertz, Sebastian Kruss

{"title":"Levodopa Sensing with a Nanosensor Array via a Low-Cost Near Infrared Readout","authors":"Jan Stegemann, Matthias Niklas Augustin, Julia Ackermann, Nour el Houda Fizzi, Krisztian Neutsch, Markus Gregor, Svenja Herbertz, Sebastian Kruss","doi":"10.1021/acs.analchem.5c02320","DOIUrl":"https://doi.org/10.1021/acs.analchem.5c02320","url":null,"abstract":"Near infrared (NIR) signals are beneficial for biomedical applications due to reduced light absorption, scattering, and autofluorescence in this range, which promises higher signal-to-noise ratios (SNR). Single-walled carbon nanotubes (SWCNTs) fluoresce in the NIR (800–1700 nm) and serve as building blocks for biosensors. To quantify the benefits of NIR fluorescence biosensing, we simulate the SNR considering wavelength-dependent scattering/absorption, autofluorescence, dark currents, and excitation background. We also compare Si and InGaAs PIN phototdiodes (pn diode with an additional intrinsic layer) as detectors for the NIR region. The simulation shows that the SNR of fluorophores in the NIR is higher, but InGaAs detectors are outperformed by Si detectors in the short NIR (<1050 nm). This was also validated in experiments with (6,5)-SWCNTs (emission 990 nm), showing a 1.2-fold higher SNR for Si PIN photodiodes. Next, SWCNTs were chemically modified to create sensor arrays/barcodes that detect levodopa. Monitoring levodopa blood levels is a crucial step for personalized Parkinson’s disease treatment. We then combine nanosensors and detectors to engineer a portable low-cost fluorescence reader that scans (6,5)-SWCNT sensor barcodes. It detects levodopa at relevant concentrations (10 μM) in human blood serum. Thus, we combine NIR fluorescent sensors with high SNR and low-cost Si detectors to make use of beneficial NIR signals, which opens opportunities for point-of-care applications.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"145 1","pages":""},"PeriodicalIF":7.4,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data Fusion Enhanced High-Dimensional SERS Fingerprints Construction via Dual-Wavelength and Multisubstrate Strategy for Precise Wastewater Identification. 数据融合增强双波长多基片高维SERS指纹构建，用于废水的精确识别。

IF 7.4 1区化学

Analytical Chemistry Pub Date : 2025-06-20 DOI: 10.1021/acs.analchem.5c02022

Xueqing Wang,Lan Wei,Fan Li,Zhangmei Hu,Meikun Fan

{"title":"Data Fusion Enhanced High-Dimensional SERS Fingerprints Construction via Dual-Wavelength and Multisubstrate Strategy for Precise Wastewater Identification.","authors":"Xueqing Wang,Lan Wei,Fan Li,Zhangmei Hu,Meikun Fan","doi":"10.1021/acs.analchem.5c02022","DOIUrl":"https://doi.org/10.1021/acs.analchem.5c02022","url":null,"abstract":"It is well-known that traditional label-free surface-enhanced Raman spectroscopy (SERS) can capture fingerprint information on analyte, providing a foundation for target identification and differentiation. However, the conventional one-dimensional spectral data obtained through traditional SERS methods is insufficient for characterizing samples with complex chemical compositions, such as wastewater, or for tackling more intricate challenges, including tracing pollution sources, where a more comprehensive analytical profile is necessary. Herein, we introduce \"SERSynergy\", a data-fusion-driven machine learning approach that integrates dual-wavelength and multisubstrate data to generate a holistic SERS fingerprint, which allows for precise and robust wastewater identification. This method leverages complementary spectral features of wastewater samples by collecting a total of 12,000 spectra using four types of noble metal nanoparticles under two excitation wavelengths. A hybrid feature-decision fusion strategy cross-combined spectral features from various conditions to form high-dimensional fingerprints, which were then evaluated using optimized machine learning models and consolidated via probability-level fusion. The \"SERSynergy\" method demonstrated an identification accuracy of up to 99.67% for wastewater samples. Furthermore, when validated with blind sample testing, the method maintained an accuracy of 96.67%. Overall, the developed approach shows great promise for efficiently and accurately identifying wastewater samples, and it has potential applications in the precise acquisition of spectral features and identity discrimination in complex matrix samples.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"1 1","pages":""},"PeriodicalIF":7.4,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synergistic Strain and Ligand Effects Boosting the Activity of Pt-Based Peroxidase Nanozymes for Femtomolar-Level Colorimetric Immunoassay of Protein Biomarkers. 协同菌株和配体效应增强pt基过氧化物酶纳米酶在飞摩尔水平蛋白质生物标志物比色免疫分析中的活性。

IF 7.4 1区化学

Analytical Chemistry Pub Date : 2025-06-20 DOI: 10.1021/acs.analchem.5c01825

Han Zhang,Yan Zhang,Xiang Peng,Wanyu Qiu,Yongfeng Tan,Jianglian Xu,Qunfang Li,Dianyong Tang,Zhuangqiang Gao

{"title":"Synergistic Strain and Ligand Effects Boosting the Activity of Pt-Based Peroxidase Nanozymes for Femtomolar-Level Colorimetric Immunoassay of Protein Biomarkers.","authors":"Han Zhang,Yan Zhang,Xiang Peng,Wanyu Qiu,Yongfeng Tan,Jianglian Xu,Qunfang Li,Dianyong Tang,Zhuangqiang Gao","doi":"10.1021/acs.analchem.5c01825","DOIUrl":"https://doi.org/10.1021/acs.analchem.5c01825","url":null,"abstract":"Sensitive detection of protein biomarkers is crucial for advancing biomedical research and clinical management. Although colorimetric enzyme-linked immunosorbent assays (CELISAs) have been widely recognized as a benchmark technique for protein biomarker detection, their sensitivity is fundamentally constrained by the intrinsic catalytic limitations of conventional enzyme labels. In this study, we present the engineering of high-performance Pt-based peroxidase nanozymes leveraging the synergistic effects of strain and ligand interactions. This advancement enables the development of an ultrasensitive CELISA platform capable of detecting protein biomarkers at femtomolar levels, providing a promising solution to address the existing sensitivity limitations. These Pt-based peroxidase nanozymes are precisely engineered by conformally coating Pd nanocubes with uniform, ultrathin Pt shells consisting of just four atomic layers (Pd@Pt4L nanocubes). The atomic-level Pt shells endow the Pd@Pt4L nanocubes with the strain and ligand effects, resulting in a ∼2000-fold enhancement in peroxidase-like catalytic activity compared to traditional horseradish peroxidase (HRP), and thus making them highly efficient as catalytic labels for enhancing the sensitivity of CELISAs. Taking interleukin-6 (IL-6) detection as an example, we demonstrate that the Pd@Pt4L nanocube-based CELISA enables quantitative analysis within a dynamic range of 0.05-5 pg mL-1 and achieves an impressive limit of detection (LOD) of 0.046 pg mL-1 (1.8 fM), representing a ∼20-fold enhancement in sensitivity over the conventional HRP-based CELISA. These discoveries underscore the impact of strain and ligand modulation on enhancing the catalytic activity of nanozymes and highlight their potential as catalytic labels for advancing ultrasensitive bioassay technologies.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"145 1","pages":""},"PeriodicalIF":7.4,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144328897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Slice-Inference-Assisted Lightweight Small Object Detection Model for Holographic Digital Immunoassay Quantification 用于全息数字免疫分析定量的切片推理辅助轻量级小目标检测模型

IF 7.4 1区化学

Analytical Chemistry Pub Date : 2025-06-20 DOI: 10.1021/acs.analchem.5c02441

Minjie Han, Junpeng Zhao, Weiqi Zhao, Ting Xiao, Long Wu, Yiping Chen

{"title":"Slice-Inference-Assisted Lightweight Small Object Detection Model for Holographic Digital Immunoassay Quantification","authors":"Minjie Han, Junpeng Zhao, Weiqi Zhao, Ting Xiao, Long Wu, Yiping Chen","doi":"10.1021/acs.analchem.5c02441","DOIUrl":"https://doi.org/10.1021/acs.analchem.5c02441","url":null,"abstract":"Sensitive and cost-effective detection methods utilizing portable equipment are crucial for applications in food safety inspection, environmental monitoring, and clinical diagnosis. In this study, we propose a sliced inference-assisted lightweight small object detection model (SIALSO) holographic biosensor for digital immunoassay-based quantification of chloramphenicol in food samples. This innovative biosensor combines a lens-free holographic imaging system with a lightweight deep learning model, capitalizing on the extensive field of view (FOV) of holography to facilitate precise signal detection of microsphere probes. The SIALSO model integrates a sliced inference-assisted algorithm to improve small object detection accuracy while minimizing computational complexity. Experimental results reveal that the SIALSO biosensor achieves a linear detection range from 50 pg/mL to 100 ng/mL (<i>R</i><sup>2</sup> = 0.986), outperforming ELISA in both sensitivity and detection range. Furthermore, the model reduces computational parameters by 29% compared to YOLOv5s while maintaining high precision (98.2%) and recall (95.7%). This research establishes a robust theoretical and technological foundation for the development of portable detection devices in food safety and environmental monitoring.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"237 1","pages":""},"PeriodicalIF":7.4,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144335084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Aggregation/Monomer-Based Probe for Monitoring Mitochondria-Lysosome Interactions during Cuproptosis. 一种基于聚集/单体的探针用于监测铜体变形过程中线粒体-溶酶体相互作用。

IF 7.4 1区化学

Analytical Chemistry Pub Date : 2025-06-20 DOI: 10.1021/acs.analchem.5c00971

Cui Zhou,Jia-Tong Yan,Yi-Ting Chu,Jian Wang,Gui-Xue Tang,Shuo-Bin Chen,Zhi-Shu Huang,Jia-Heng Tan,Xiu-Cai Chen

{"title":"An Aggregation/Monomer-Based Probe for Monitoring Mitochondria-Lysosome Interactions during Cuproptosis.","authors":"Cui Zhou,Jia-Tong Yan,Yi-Ting Chu,Jian Wang,Gui-Xue Tang,Shuo-Bin Chen,Zhi-Shu Huang,Jia-Heng Tan,Xiu-Cai Chen","doi":"10.1021/acs.analchem.5c00971","DOIUrl":"https://doi.org/10.1021/acs.analchem.5c00971","url":null,"abstract":"The interplay between lysosomes and mitochondria is essential for maintaining cellular function, and disruptions of their interaction have been implicated in the onset of various diseases. Small molecule fluorescent probes are powerful tools for monitoring these biological processes. However, a comprehensive strategy for designing small-molecule probes capable of dual-color visualization of both mitochondria and lysosomes remains lacking. In this study, we introduce MISO, a noninvasive small organic molecular probe, as an effective tool for tracking the dynamic interplay between mitochondria and lysosomes in living cells. Mechanistic studies revealed that MISO targets lysosomes in a monomeric state, exhibiting green fluorescence, and in an aggregated state within mitochondria, displaying red fluorescence. Using MISO, we were able to perform long-term tracking of dynamic mitochondria-lysosome interactions and identified several distinct types of interactions between these organelles. Notably, for the first time, MISO revealed changes in mitochondria-lysosome interactions during cuproptosis, suggesting that the modulation of these interactions may influence this form of cell death. This work presents a valuable tool for real-time monitoring of functional mitochondria-lysosome interactions in living cells and opens avenues for advancing our understanding of related cellular processes and disease mechanisms.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"1 1","pages":""},"PeriodicalIF":7.4,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144328894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-Time Detection of Hydrogen and Ammonia Isotopologues for Impurity Removal and Recovery of Tritium. 氢和氨同位素的实时检测用于除杂和回收氚。

IF 7.4 1区化学

Analytical Chemistry Pub Date : 2025-06-20 DOI: 10.1021/acs.analchem.5c01241

John T Kelly,Christopher J Koch,Tyler Guin,Alexandria G Watrous,Ryan C Fortenberry

{"title":"Real-Time Detection of Hydrogen and Ammonia Isotopologues for Impurity Removal and Recovery of Tritium.","authors":"John T Kelly,Christopher J Koch,Tyler Guin,Alexandria G Watrous,Ryan C Fortenberry","doi":"10.1021/acs.analchem.5c01241","DOIUrl":"https://doi.org/10.1021/acs.analchem.5c01241","url":null,"abstract":"To accommodate gas measurements for impurity removal and recovery of tritium, a silver-coated optical or waveguide is employed for collecting Raman scattered signals to determine relative hydrogen and ammonia isotopologue populations in real time. The data and results presented here demonstrate an analytical methodology for the analysis of four ammonia and three hydrogen isotopologues in a hydrogen-deuterium exchange reaction by gas phase Raman spectroscopy. Standard chemometric modeling techniques effectively unravel the signatures of the isotopologues involved observed here; however, a sophisticated quantum chemical approach supports the spectral assignments. An interpretation of the data presented here can emphasize the practicality and reliability of the gaseous monitoring system in complex chemical environments for the hydrogen fuel economy as well as the more distant energy source from a facility that handles tritium. There are still considerable concerns about the measurement of tritium in isotope separation and radiological impurities from gas processing. A common impurity in gas processing is ammonia, which can form readily in the presence of nitrogen and tritium. Substituted ammonia (NQ3), where Q = H, D, or T, is traditionally removed through getters or diffusers along with other non-hydrogen contaminants. A preferable analytical approach is noninvasive and can be deployed for real-time process evaluation in radiological environments.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"46 1","pages":""},"PeriodicalIF":7.4,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144335569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Micromotors Meet Collective (Bio)sensing: The Asset Behind the Assay 微电机满足集体（生物）传感：分析背后的资产

IF 7.4 1区化学

Analytical Chemistry Pub Date : 2025-06-19 DOI: 10.1021/acs.analchem.5c00619

Alberto Escarpa, Beatriz Jurado-Sánchez

引用次数: 0

Beyond the Nucleus: Cytoplasmic Dominance in Follicular Thyroid Carcinoma Detection Using Single-Cell Raman Imaging across Multiple Devices 细胞核之外：细胞质优势在滤泡性甲状腺癌检测中使用多个设备的单细胞拉曼成像

IF 7.4 1区化学

Analytical Chemistry Pub Date : 2025-06-19 DOI: 10.1021/acs.analchem.4c06544

Aurelien Pelissier, Kosuke Hashimoto, Kentaro Mochizuki, J. Nicholas Taylor, Jean-Emmanuel Clément, Yasuaki Kumamoto, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki

{"title":"Beyond the Nucleus: Cytoplasmic Dominance in Follicular Thyroid Carcinoma Detection Using Single-Cell Raman Imaging across Multiple Devices","authors":"Aurelien Pelissier, Kosuke Hashimoto, Kentaro Mochizuki, J. Nicholas Taylor, Jean-Emmanuel Clément, Yasuaki Kumamoto, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki","doi":"10.1021/acs.analchem.4c06544","DOIUrl":"https://doi.org/10.1021/acs.analchem.4c06544","url":null,"abstract":"Cytological diagnosis of follicular thyroid carcinoma (FTC) is one of the main challenges in the field of endocrine oncology due to the absence of evident morphological indicators. Morphological abnormalities in the nucleus are typically key indicators of cancer cytopathology and are attributed to a range of biochemical alterations in nuclear components. Consequently, Raman spectroscopy has been widely used to detect cancer in various cytological samples, often identifying biochemical changes prior to observable morphological alterations. However, in the case of FTC, cytoplasmic features, such as carotenoids, cytochromes, and lipid droplets, have shown greater diagnostic relevance compared to nuclear features. This study leverages single-cell Raman imaging to explore the spatial origin of diagnostic signals in FTC and normal thyroid (NT) cells, assessing the contributions of the nucleus and cytoplasm independently. Our results demonstrate that Raman spectra from the cytoplasmic region can distinguish between FTC and NT cells with an accuracy of 84% under coculture conditions, consistently across two cell lines originated from two donors and maintaining robustness across multiple devices. In contrast, classification based on nuclear spectra achieved only 53% accuracy, suggesting that biochemical alterations in the cytoplasm play a more significant role in FTC detection than those in the nucleus. Our work elevates the promise of Raman-based cytopathology by providing complementary organelle-dependent information to traditional diagnostic methods and demonstrating transferability across different devices.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"16 1","pages":""},"PeriodicalIF":7.4,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144319918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0