Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy最新文献

{"title":"Investigating taurine's biochemical influence in human brain cancer cells with confocal Raman imaging","authors":"Jakub Maciej Surmacki,&nbsp;Krzysztof Sergot","doi":"10.1016/j.saa.2025.126954","DOIUrl":"10.1016/j.saa.2025.126954","url":null,"abstract":"<div><div>Given the widespread use of taurine in energy drinks and nutritional supplements, it is imperative to evaluate its effects on cell behavior and metabolic activity. Understanding the multifaceted cellular effects of taurine remains a significant challenge, particularly in the context of its metabolic and regulatory roles in cancer and stress–adapted cells. One of the limitations in this field has been the lack of imaging techniques capable of capturing taurine's molecular interactions and downstream biochemical alterations in living cells with adequate spatial and molecular specificity. In this study, we employ a Raman–based imaging approach to investigate the intracellular distribution and metabolic consequences of taurine treatment in human brain carcinoma cells (astrocytoma CCF-STTG1 line). This label–free technique enables real–time monitoring of biochemical changes in situ, revealing specific spectral shifts indicative of taurine's influence on energy metabolism, redox balance, lipid dynamics, and structural proteins. We observed marked alterations in Raman spectral bands at ∼750, ∼782, ∼1003, ∼1126, ∼1254, ∼1302, ∼1444, ∼1583, and ∼ 1654 cm⁻¹, which correspond to components such as cytochrome <em>c</em>, nucleic acids, phenylalanine, saturated lipid chains, and amide vibrations of proteins. Notably, the enhancement of cytochrome <em>c</em> signals (∼750 and ∼ 1583 cm⁻¹) suggests an upregulation of mitochondrial oxidative metabolism, while a concurrent attenuation in glycolytic markers (∼870 and ∼ 1450 cm⁻¹) supports a metabolic shift away from aerobic glycolysis. Our Raman spectroscopic findings provide a high–resolution biochemical fingerprint of taurine's intracellular action, offering crucial insights into its role in modulating tumor cell metabolism and potential mechanisms of therapy sensitization. This study contributes to a more precise understanding of taurine's bioactivity in a human brain carcinoma model and underscores the value of vibrational imaging in cellular pharmacology and metabolic research.</div></div>","PeriodicalId":433,"journal":{"name":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","volume":"347 ","pages":"Article 126954"},"PeriodicalIF":4.6,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145152568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring of arsenic uptake in Pteris vittata using short-wave infrared spectroscopy during multi-scale field trial","authors":"Giuseppe Capobianco ,&nbsp;Giuseppe Bonifazi ,&nbsp;Silvia Serranti ,&nbsp;Oriana Trotta ,&nbsp;Paola Cucuzza ,&nbsp;Maria Luisa Antenozio ,&nbsp;Sara Michetti ,&nbsp;Davide Marzi ,&nbsp;Patrizia Brunetti","doi":"10.1016/j.saa.2025.126964","DOIUrl":"10.1016/j.saa.2025.126964","url":null,"abstract":"<div><div>In this study an innovative multi-analytical approach to monitor arsenic (As) accumulation in <em>Pteris vittata</em>, using hyperspectral imaging (HSI) in the short-wave infrared range (SWIR: 1000–2500 nm), micro-X-ray fluorescence (micro-XRF) and spectroradiometric measurements obtained with a portable device, have been applied. The objective was to establish a reliable and non-invasive strategy for tracking As uptake dynamics and related physiological changes in plants under both controlled and field conditions. To this end, 28 ferns were planted in an As-contaminated soil and monitored for up to 120 days. The study was structured into three phases. First, micro-XRF was used to monitor As accumulation kinetics in the pinnae of a representative number of plants. In the second phase, the same pinnae were also analyzed using HSI to characterize spectral signatures related to As induced stress and to explore spectral variability through t-distributed Stochastic Neighbor Embedding (t-SNE). This analysis revealed specific spectral patterns linked to As accumulation. An ECOC-SVM-based classification model was then developed using HSI data to assess As amounts in laboratory scale. In the third phase, based on the spectral features and classification approach developed by HSI, a new ECOC-SVM classifier was produced using all the data acquired by a portable spectroradiometer in all field-grown plants. The results confirmed that micro-XRF efficiently tracked As accumulation, while HSI identified distinct spectral signatures associated with As induced stress. The t-SNE analysis demonstrated variability in spectral responses, which facilitated the development and classes set of a robust ECOC-SVM model. Importantly, applying the ECOC-SVM model to the portable spectroradiometer data demonstrated its effectiveness in real-time monitoring of As phytoextraction at field-scale. This multi-analytical approach provides an efficient and scalable tool for optimizing phytoremediation strategies and environmental monitoring, confirming its reliability in both laboratory and field settings.</div></div>","PeriodicalId":433,"journal":{"name":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","volume":"347 ","pages":"Article 126964"},"PeriodicalIF":4.6,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanism of charge separation and transfer in doped third-component enhanced organic solar cells","authors":"Yuqiang Huang ,&nbsp;Zifu Zang ,&nbsp;Ying Yu ,&nbsp;Peng Song ,&nbsp;Fengcai Ma ,&nbsp;Yuanzuo Li","doi":"10.1016/j.saa.2025.126969","DOIUrl":"10.1016/j.saa.2025.126969","url":null,"abstract":"<div><div>The preparation of ternary organic solar cells (T-OSCs) is an effective strategy to improve the device's performance. As a green and abundant organic semiconductor in nature, chlorophyll and its derivatives have excellent charge transfer capabilities. Here, we introduced the bacteriochlorin BChl-2 as the third component into the study system, and all the monomeric molecules, D/A interfaces and dimers were comprehensively investigated. It is shown that BChl-2 has a better structure and minimal ionization energy, indicating that it facilitates π-π stacking of molecules and hole injection. All the molecules exhibit complementary absorption spectra, which are beneficial to improve the short-circuit current (<em>J</em>_<em>SC</em>) of organic solar cells (OSCs). In addition, the doping of BChl-2 increases the charge transfer paths while forming D/A interfaces with a greater separation rate, further improving the charge transfer efficiency. The excellent charge mobility of BChl-2 greatly facilitates charge transfer, which is conducive to the improvement of the <em>J</em>_<em>SC</em> and fill factor (FF) of the devices. All these results indicate that doping BChl-2 can enhance the charge separation and transfer of OSCs. This study not only revealed the mechanism of the third component effect but also provided a referential scheme for designing efficient T-OSCs.</div></div>","PeriodicalId":433,"journal":{"name":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","volume":"347 ","pages":"Article 126969"},"PeriodicalIF":4.6,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dual-function fluorescent sensor enabling real-time tracking of cellular viscosity and biothiols levels","authors":"Xiaomeng Pang ,&nbsp;Siyuan Qin ,&nbsp;Hailong Ma ,&nbsp;Yanbi Luo ,&nbsp;Qiang Fei ,&nbsp;Su Xu ,&nbsp;Feiyi Wang","doi":"10.1016/j.saa.2025.126967","DOIUrl":"10.1016/j.saa.2025.126967","url":null,"abstract":"<div><div>Biothiols, as a biomarker, play an important role in regulating physiological metabolism and maintaining redox homeostasis. Viscosity, as a microenvironment factor of cells, is closely related to many human diseases. As a powerful tool, fluorescent probes have been widely used in the detection of biomarkers. In this paper, a dual-function fluorescent probe IDH-NBD integrating real-time detection of viscosity and biothiols levels was constructed. The probe showed good response efficiency and sensitivity to biothiols and viscosity <em>in vitro</em>, and the preliminary mechanism of action was also explored. Further biological imaging experiments also showed that the probe could monitor the biothiols levels and viscosity of cells and zebrafish. Here, we provided a new tool for the prevention and early diagnosis of related diseases in organisms.</div></div>","PeriodicalId":433,"journal":{"name":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","volume":"347 ","pages":"Article 126967"},"PeriodicalIF":4.6,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel biphenyl tetrahydroindazole-type fluorescent probe for the detection of hydrazine and its applications in food detection, environmental analysis and biological imaging","authors":"Shuo Zhang,&nbsp;Jixiang Tian,&nbsp;Shuai Gong,&nbsp;Zhiyuan Meng,&nbsp;Yueyin Liang,&nbsp;Yue Gu,&nbsp;Mengru Wang,&nbsp;Zhonglong Wang,&nbsp;Shifa Wang","doi":"10.1016/j.saa.2025.126966","DOIUrl":"10.1016/j.saa.2025.126966","url":null,"abstract":"<div><div>Hydrazine (N₂H₄) is one of significant chemicals widely applied in many fields including medicines, pesticides, and military area. Nevertheless, N₂H₄ also poses serious threats to ecosystems and human health due to its toxicity and carcinogenicity. Consequently, to monitor N₂H₄ levels is critical for environmental and biological safety. In this paper, a novel nopinone-based biphenyl tetrahydroindazole-type fluorescent probe <strong>TOPIB-PAN</strong> was developed for highly sensitive detection of N₂H₄. Comprehensive evaluation revealed that probe <strong>TOPIB-PAN</strong> exhibited exceptional performance including an ultra-low detection limit (74.5 nM), broad pH tolerance (3–11), and remarkable photostability (&gt;1800 min). This probe was successfully applied to detect N₂H₄ in various matrices including food, water, and soil environments. Furthermore, probe <strong>TOPIB-PAN</strong> showed excellent applicability for fluorescence imaging of N₂H₄ in live HeLa cells, zebrafish, and onion epidermal cells. Practical applications were extended through the development of portable detection tools utilizing <strong>TOPIB-PAN</strong>-coated swabs and filter papers.</div></div>","PeriodicalId":433,"journal":{"name":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","volume":"347 ","pages":"Article 126966"},"PeriodicalIF":4.6,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ensuring quality control in HME, a quantitative analysis of hydrocortisone filament using a portable Raman spectrometer","authors":"Antoine Dowek ,&nbsp;Aruzhan Seidakhanova ,&nbsp;Quentin Bourcy ,&nbsp;Olivier Jennotte ,&nbsp;Brigitte Evrard ,&nbsp;Robin Crunenberg ,&nbsp;Eric Ziemons ,&nbsp;Bernard Do ,&nbsp;Maxime Annereau ,&nbsp;André Rieutord ,&nbsp;Anna Lechanteur","doi":"10.1016/j.saa.2025.126968","DOIUrl":"10.1016/j.saa.2025.126968","url":null,"abstract":"<div><div>3D printing is a breakthrough in drug development, offering advantages like personalized medication and the ability to create complex drug formulations. Ensuring safety and efficacy of these printed medications requires rigorous quality control, for which Raman spectroscopy is a powerful tool. This technique can be integrated into the hot melt extrusion (HME) process or the printing process itself, analyzing the drug-content in filament after its production and before it is melted and formed into the final dosage form.</div><div>This project focused on developing a quantitative analytical method using a portable Raman spectrometer to measure the concentration of hydrocortisone (HCT) in a filament. This filament acts as a pharmaceutical ink, designed for printing solid oral forms for individualized dosing.</div><div>Following ICH guidelines, a validated method for HCT quantification in solution was established. This method was then successfully adapted for direct quantification of HCT within the filament composed of 20 % HCT and excipients. The initial step involved defining a specific spectral region unique to HCT. Preprocessing methods were optimized, including smoothing, baseline correction, derivatives and Extended Multiplicative Signal Correction, used to mitigate unwanted spectral variations.</div><div>The method proved highly accurate for the target HCT concentration across three filament batches, achieving a mean absolute error of 2.96 %. This project highlights the value of using a portable Raman probe to control the quality of the filament either at the output of HME or directly at the point of care, in order to verify the quality of the received filament.</div></div>","PeriodicalId":433,"journal":{"name":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","volume":"347 ","pages":"Article 126968"},"PeriodicalIF":4.6,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145254366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning-based cross-device standardization of surface-enhanced Raman spectroscopy for enhanced bacterial recognition","authors":"Sakib Mahmud ,&nbsp;Faizul Rakib Sayem ,&nbsp;Manal Hassan ,&nbsp;Yanjun Yang ,&nbsp;Muhammad E.H. Chowdhury ,&nbsp;Susu M. Zughaier ,&nbsp;Faycal Bensaali ,&nbsp;Yiping Zhao","doi":"10.1016/j.saa.2025.126931","DOIUrl":"10.1016/j.saa.2025.126931","url":null,"abstract":"<div><div>Surface-enhanced Raman spectroscopy (SERS) is a powerful, label-free technique for pathogen detection; however, its broader adoption in clinical diagnostics is hindered by inconsistent spectral quality across portable and laboratory-grade instruments, limited cross-device reproducibility, and the poor generalizability of existing machine learning approaches. These limitations restrict reliable and rapid pathogen identification at the point of care. To address this gap, we collected SERS spectra from analytes spread on silver nanorod (AgNR) substrates using four portable Raman systems (Enwave, Tec5, First Defender, and Rapid ID) and one laboratory-grade reference device (Renishaw). The dataset included 20 analyte classes representing clinically relevant bacterial signatures and reference compounds. We propose a deep learning framework comprising: (1) SERS-D2DNet, a one-dimensional sequence-to-sequence neural network that transforms spectra from portable devices into high-fidelity laboratory-grade equivalents, and (2) SuperRaman, a lightweight super-operational neural network (Super-ONN) for efficient multiclass bacterial classification. Primary and ablation studies confirm the complementary role of domain transformation and classification, demonstrating improved feature separability and reduced misclassification rates. Quantitative results show that SERS-D2DNet reduced mean absolute error to 0.01 and increased R² to over 98 % across devices, while SuperRaman achieved up to 100 % classification accuracy post-transformation. Compared to existing approaches, SERS-D2DNet delivered the lowest MAE (0.024 to 0.034), while SuperRaman surpassed state-of-the-art classifiers. The combined framework requires only 6.6 million parameters, a compact 9 MB footprint, and a 3.27 ms inference time, making it well-suited for portable deployment. This study establishes a scalable, real-time solution for rapid sepsis detection and pathogen identification, bridging the performance gap between portable and laboratory-grade SERS systems.</div></div>","PeriodicalId":433,"journal":{"name":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","volume":"347 ","pages":"Article 126931"},"PeriodicalIF":4.6,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Terpyridine Eu(III) complexes combined with boric acid-functionalized carbon dots for on-site visual ratiometric fluorescence detection of anthrax spore biomarkers","authors":"Junrong Wu,&nbsp;Qian Zhang,&nbsp;Xiaofeng Zhou,&nbsp;Jiaojiao Zhang,&nbsp;Meijia He,&nbsp;Wenhui Cao,&nbsp;Liangquan Sheng,&nbsp;Zhaodi Liu,&nbsp;Fuying Hao,&nbsp;Huajie Xu","doi":"10.1016/j.saa.2025.126958","DOIUrl":"10.1016/j.saa.2025.126958","url":null,"abstract":"<div><div>The development of reliable methodologies for the identification of potential biomarkers holds paramount significance for the early detection of serious diseases and conditions. In this work, we have designed a new terpyridine Eu(III) complexes with boric acid functional carbon dot-based fluorescent probe Eu-Tpy/R-CDs for the ratiometric of detection of dipicolinic acid (DPA). Eu-Tpy/R-CDs nanoprobe were obtained by co-assembly and immobilization of green luminescent Rhodanine B carbon dots to boric acid matrix sites in tripyridine‑europium (III) complexes using the solvent method. The novel nanoprobe Eu-Tpy/R-CDs can be used as a multicolor ratio fluorescence sensing platform for trace DPA in both aqueous media and actual spores. The sensing system exhibited a linear relationship for DPA, with a broad linear range of 6.67–73.33 μM and a limit of detection of 80.34 nM, which is significantly below the infectious dosage of anthrax (∼55 μM). More prominently, combining Eu-Tpy/R-CDs based detection test papers with a smartphone can achieve sensitive, real-time, and visual detection of DPA.</div></div>","PeriodicalId":433,"journal":{"name":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","volume":"347 ","pages":"Article 126958"},"PeriodicalIF":4.6,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating spectroscopy with machine learning and deep learning for monitoring mung plant responses to silicon dioxide nanoparticles","authors":"Aishwary Awasthi ,&nbsp;Aradhana Tripathi ,&nbsp;Chhavi Baran ,&nbsp;K.N. Uttam","doi":"10.1016/j.saa.2025.126963","DOIUrl":"10.1016/j.saa.2025.126963","url":null,"abstract":"<div><div>This study investigates the potential of integration of confocal micro-Raman and UV–Vis spectroscopy with machine learning and deep learning algorithms to assess biochemical responses of mung bean plants exposed to silicon dioxide nanoparticles (SiO₂ NPs) at varying concentrations. The analysis of acquired Raman spectral data reveals a concentration dependent pattern where low concentrations (0.2–0.6 mM) reduce the intensities of key biomolecules such as carotenoids, lignin, pectin, protein, carbohydrate, and cellulose, while higher concentrations (1.2–1.4 mM) trigger enhancement in intensities. The estimation of photosynthetic pigments using UV–Vis spectroscopy complements the Raman spectroscopy results, with chlorophyll <em>a</em>nd carotenoid levels decreasing at lower concentrations before significantly increasing. Among computational approaches, the application of dimensionality reduction techniques such as LDA- significantly improve the performance of clustering algorithms learnings like AGNES (RI = 1.00), DBSCAN (RI = 0.99), and k-means (RI = 1.00) and deep learning models, achieving high classification accuracy. Supervised algorithms like random forest and support vector machine perform optimally without dimensionality reduction, showing accuracies of 78 % and 79 % respectively. This integrated spectroscopy-computational approach offers a non-invasive, label-free, and robust framework for monitoring plant-nanomaterial interactions.</div></div>","PeriodicalId":433,"journal":{"name":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","volume":"347 ","pages":"Article 126963"},"PeriodicalIF":4.6,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring hepatic cysteine dynamics in obesity models with sulfur-substituted hemicyanine-based nanoprobes","authors":"Jing-Jing Qiao ,&nbsp;Lu Fan ,&nbsp;Jie-Li Zhou ,&nbsp;Kai Wang","doi":"10.1016/j.saa.2025.126965","DOIUrl":"10.1016/j.saa.2025.126965","url":null,"abstract":"<div><div>Cysteine (Cys) plays pivotal roles in redox homeostasis and metabolic regulation, with its dysregulation implicated in obesity-related hepatic disorders. Here, we developed a sulfur-substituted hemicyanine-based nanoprobe (Cys-NP) for photoacoustic imaging of hepatic Cys dynamics. The Cys-responsive molecular probe (Cys-MP) was encapsulated in mPEG-DSPE nanoparticles to overcome aqueous solubility limitations, yielding monodisperse nanoparticles with an average diameter of 28.7 nm and excellent colloidal stability. Sulfur substitution endowed the probe enhanced photoacoustic signals compared to oxygenated analogs, while selective Cys recognition triggered a bathochromic shift and yielded a detection limit of 0.13 μM. In high-fat-diet-induced obese mice, Cys-NP revealed significantly elevated hepatic Cys levels correlating with histopathological steatosis and hypercholesterolemia. This work establishes a nanotechnology-enabled strategy for mapping redox metabolism in metabolic diseases, offering both mechanistic insights and diagnostic potential.</div></div>","PeriodicalId":433,"journal":{"name":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","volume":"346 ","pages":"Article 126965"},"PeriodicalIF":4.6,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145093407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}