Analytica Chimica Acta最新文献

{"title":"A dummy template molecularly imprinted polymer-coated fiber array extraction for simultaneous HPLC analysis of eight biogenic amines in fermented horse milk","authors":"Adila Muhtar, Pengli Jian, Turghun Muhammad, Jia Zhao, Almire Dolkun, Tiantian Zhou, Sergey A. Piletsky","doi":"10.1016/j.aca.2025.343901","DOIUrl":"https://doi.org/10.1016/j.aca.2025.343901","url":null,"abstract":"<h3>Background</h3>Biogenic amines (BAs) are low molecular weight nitrogenous compounds present in various foods. While physiologically essential in trace amounts, elevated concentrations of BAs pose health risks, including serving as precursors to carcinogens. In fermented foods such as kumiss—a traditional fermented horse milk—the quantitative assessment of BAs is critical due to their health implications. However, the wide range of log<em>P</em> and p<em>Ka</em> values among BAs presents significant challenges for their simultaneous extraction and accurate analysis.<h3>Result</h3>This study introduces a novel approach for the simultaneous extraction of eight BAs in kumiss using dummy molecularly imprinted polymer (DMIP) coated fibers. The DMIP was synthesized using diethylamine dansyl chloride as a derivatized template, enabling selective recognition of eight BA derivatives. The fabricated coated fibers, which are reusable and cost-effective, were integrated into an array device for high-throughput solid-phase microextraction (SPME), achieving an average extraction time of less than 2 minutes per sample. The SPME method demonstrated high recoveries (70.06-110.92%) when coupled with high-performance liquid chromatography (HPLC) analysis. Linear calibration curves were established between the peak area and the concentration of BAs over the range of 0.2-10 mg·L^-1, with high regression coefficients (&gt;0.99) and low detection limits (0.025-0.123 mg·L^-1). The DMIP coated fiber array extraction device provided highly selective and efficient separation of BA derivatives from complex matrices, as successfully demonstrated using kumiss samples.<h3>Significance and novelty</h3>This study presents a novel dummy molecular imprinting strategy for the fabrication of DMIP coated fiber array for SPME, addressing the limitations of traditional methods in the simultaneous recognition of structurally diverse BAs. This approach significantly enhances the efficiency and selectivity of BA analysis, which is essential for the quality control of fermented foods.","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"36 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143560988","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":"Nicking endonuclease-mediated primer exchange reaction for rapid and sensitive miRNA detection","authors":"Fei Ding, Xiaomin Hang, Sen Tian, Wei Cao, Jingwen Wu, Li Wang","doi":"10.1016/j.aca.2025.343902","DOIUrl":"https://doi.org/10.1016/j.aca.2025.343902","url":null,"abstract":"Primer exchange reaction (PER) is a novel and simple nucleic acid-templated extension technique that has recently attracted much attention in the field of biosensing. However, current PER reactions have shown relatively slow rates and low amplification performances, resulting in long assay times and limited detection sensitivities. Here we report a nicking endonuclease-mediated PER reaction (named NEPER) that rapidly releases amplified DNA products by adding a nicking endonuclease to hydrolyze the hybridized double-stranded DNA (dsDNA), and consequently has a maximum speed that is thirty orders of magnitude greater than the maximum for conventional PER. We further combined a CRISPR/Cas12a signal readout technique and developed a cascade NEPER-CRISPR/Cas12a method that can detect miRNA-155 with a limit of detection (LOD) down to 3.1 fM. We also show that the NEPER-CRISPR/Cas12a can be used to detect targets in serum samples.","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"11 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143560985","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":"Self-priming isothermal polymerization engineered in-situ copper nanoparticles generation for one-tube biomarkers sensing","authors":"Shasha Zeng, Jintao Chen, Chunjiao Qi, Guobin Mao, Yuhui Shang, Yu Yang, Jinyang Chen","doi":"10.1016/j.aca.2025.343903","DOIUrl":"https://doi.org/10.1016/j.aca.2025.343903","url":null,"abstract":"<h3>Background</h3>On the one hand, for most of isothermal polymerization-based biosensing, the detection signals are uniformly originated from non-specific fluorescent staining that usually leads to high background or false positive, which limited their applications in molecular diagnostics. On the other hand, in virtue of characteristic advantages including but not limited to short preparation time (&lt; 5 min), large Stokes shift (&gt; 230 nm) and high template dependence, DNA-templated copper nanoparticles (CuNPs) enable low-cost and label-free signal transduction in low-background fluorescent sensing, which thus are ideal candidates for signal sources in promising molecular diagnostics.<h3>Results</h3>Herein, we developed highly sensitive and label-free methods for one-tube biomarkers sensing based on self-priming isothermal polymerization (SPIP) engineered in-situ generation of DNA-templated CuNPs. As the core element for SPIP, a dumbbell-shaped primary DNA is rationally designed to consist of adenine/thymine (AT)-rich stem-loop structure and phosphorothioate (PS)-modified DNA hairpin. Once initiated by polymerase, enzymatic extension and self-folding alternately occurred on the primary DNA, which resulted in accumulation of numerous AT-rich templates repeatedly included in the elongated dsDNA products, and ultimately enabled rapid formation of fluorescent CuNPs. By virtue of alkaline phosphatase (ALP)-catalyzed dephosphorylation to generate 3’-OH available for polymerization, the strategy of SPIP engineered CuNPs generation was successfully adapted to sensitive ALP detection. Moreover, by utilizing apurinic/apyrimidinic endonuclease 1 (APE1)-triggered conformation transformation of probe DNA to produce primary DNA, sensitive APE1 sensing was also realized with this self-contained isothermal amplification approach.<h3>Significance</h3>Benefiting from the robustness and simplicity of SPIP engineered CuNPs generation, the sensing methods enabled accurate analysis of real samples including ALP assay in clinical human serum and APE1 determination in normal and cancer cells. In brief, this work provides a new vision for nano-signal amplification and a promising sensing strategy for molecular diagnostics.","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"53 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546782","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":"Novel probabilistic similarity scores for sets of replicate EI mass spectra","authors":"Amudhan Krishnaswamy-Usha, Briana A. Capistran, Anthony J. Kearsley","doi":"10.1016/j.aca.2025.343858","DOIUrl":"https://doi.org/10.1016/j.aca.2025.343858","url":null,"abstract":"<h3>Background:</h3>Mass spectra are common signatures used to discriminate between compounds. This often involves the use of a <em>similarity score</em> to classify and distinguish between spectra of different compounds. To separate spectra of structurally similar compounds, multiple authors have explored the use of statistical and probabilistic methods applied to replicate mass spectra. In this paper, we explore the use of various averaged versions of the Kolmogorov–Smirnov and <em>t</em>-test statistics to compare peak intensities for sets of replicate mass spectra.<h3>Results:</h3>Using replicate gas chromatography electron ionization (GC-EI-MS) mass spectra of 25 forensically relevant compounds, we compare the ‘library match’ and total classification accuracy of our novel probabilistic similarity scores versus the ‘high dimensional consensus’ (HDC) score and other similarity scores previously used in this context. We show that the use of the harmonic mean of the Kolmogorov–Smirnov test statistics obtained from peak intensities results in accuracies comparable to the HDC score.<h3>Significance:</h3>Our results provide novel probabilistic similarity scores for replicate EI mass spectra, which outperform traditional scoring methods while at the same time minimizing the number of user-defined parameters and avoiding assumptions about the distributions of peak intensities.","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"16 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546784","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":"Measuring the severity of knee osteoarthritis with an Aberration-free fast line scanning Raman imaging system","authors":"Changwei Jiao, Jiajing Ye, Jiaqi Liao, Jialun Li, Junbo Liang, Sailing He","doi":"10.1016/j.aca.2025.343900","DOIUrl":"https://doi.org/10.1016/j.aca.2025.343900","url":null,"abstract":"Osteoarthritis (OA) is a major cause of disability worldwide, with symptoms like joint pain, limited functionality, and decreased quality of life, potentially leading to deformity and irreversible damage. Chemical changes in joint tissues precede imaging alterations, making early diagnosis challenging for conventional methods like X-rays. Although Raman imaging provides detailed chemical information, it is time-consuming. This paper aims to achieve rapid osteoarthritis diagnosis and grading using a self-developed Raman imaging system combined with deep learning denoising and acceleration algorithms. Our self-developed aberration-corrected line-scanning confocal Raman imaging device acquires a line of Raman spectra (hundreds of points) per scan using a galvanometer or displacement stage, achieving spatial and spectral resolutions of 2 μm and 0.2 nm, respectively. Deep learning algorithms enhance the imaging speed by over 4 times through effective spectrum denoising and signal-to-noise ratio (SNR) improvement. By leveraging the denoising capabilities of deep learning, we are able to acquire high-quality Raman spectral data with a reduced integration time, thereby accelerating the imaging process. Experiments on the tibial plateau of osteoarthritis patients compared three excitation wavelengths (532, 671, and 785 nm), with 671 nm chosen for optimal SNR and minimal fluorescence. Machine learning algorithms achieved a 98% accuracy in distinguishing articular from calcified cartilage and a 97% accuracy in differentiating osteoarthritis grades I to IV. Our fast Raman imaging system, combining an aberration-corrected line-scanning confocal Raman imager with deep learning denoising, offers improved imaging speed and enhanced spectral and spatial resolutions. It enables rapid, label-free detection of osteoarthritis severity and can identify early compositional changes before clinical imaging, allowing precise grading and tailored treatment, thus advancing orthopedic diagnostics and improving patient outcomes.","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"36 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546783","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 the level of hydrogen sulfide in arthritis and its treatment with a novel near-infrared fluorescent probe","authors":"Jing-Jing Chao, Ling Hu, Jing-Fang Mi, Guo-Jiang Mao, Fen Xu, Liufang Hu, Juan Ouyang, Chun-Yan Li","doi":"10.1016/j.aca.2025.343898","DOIUrl":"https://doi.org/10.1016/j.aca.2025.343898","url":null,"abstract":"Hydrogen sulfide (H₂S) is a physiological gaseous transmitter that plays a crucial role in maintaining the cellular redox state. Arthritis is usually accompanied by redness, swelling, pain, dysfunction and deformity of the joints, and in severe cases can lead to joint disability. Disorders of H₂S level are associated with the pathological process of arthritis. In this paper, a near-infrared fluorescent probe (TX-H₂S) was developed to detect the alterations in H₂S levels of arthritis. TX-H₂S has excellent response performance to H₂S such as near-infrared emission (725 nm), large Stokes shift (125 nm) and high fluorescence enhancement (72-fold). Owing to low cytotoxicity, the probe can be employed to observe the alterations of exogenous and endogenous H₂S level in HeLa and HepG2 cells. By making full use of near-infrared emission and good biocompatibility, the probe can be employed for exogenous H₂S imaging in mice, and is able to track the fluctuation of H₂S level during arthritis and its treatment. These make the probe have the potential to invent an efficient tool for the diagnosis of arthritic disease and its treatment.","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"45 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546787","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-Branch Convolutional Neural Network with Attention Modules for LIBS-NIRS Data Fusion in Cement Composition Quantification","authors":"Chenwei Zhang, Weiran Song, Yihan Lyu, Zhitan Liu, Xinglong Gao, Zongyu Hou, Zhe Wang","doi":"10.1016/j.aca.2025.343899","DOIUrl":"https://doi.org/10.1016/j.aca.2025.343899","url":null,"abstract":"<h3>Background</h3>Cement composition, including key oxides such as CaO, SiO₂, Al₂O₃, and Fe₂O₃, plays a critical role in determining cement's strength and durability. Real-time monitoring of these components during cement production is essential for ensuring optimal raw material ratios. Spectroscopic techniques, such as Laser Induced Breakdown Spectroscopy (LIBS) and Near Infrared Spectroscopy (NIRS), offer significant potential for rapid and non-destructive cement analysis, but their individual limitations, such as matrix effects in LIBS and spectral overlap in NIRS, necessitate an integrated method to achieve accurate and stable results.<h3>Results</h3>In this study, we propose a novel fusion method based on a dual-branch convolutional neural network with an attention module (DBAM-CNN) to synergize LIBS and NIRS data for enhanced cement component quantification. The dual-branch CNN structure enables feature extraction of atomic and molecular information from LIBS and NIRS data, respectively, optimizing the global task of improving quantitative analysis by capturing complementary information from both spectroscopic techniques. These features are then fused, and spatial and channel attention modules are used to refine the feature weights, enabling the model to effectively capture spectral fingerprint information. Experimental results show that the DBAM-CNN outperforms both existing fusion strategies and single technologies, demonstrating exceptional performance in real-time, high-precision cement composition analysis. SHAP analysis further reveals that the method highlights key features in LIBS and NIRS, leading to enhanced quantitative outcomes.<h3>Significance</h3>The proposed DBAM-CNN method significantly enhances cement composition analysis by effectively integrating complementary information from LIBS and NIRS. By addressing issues such as information redundancy and feature loss that are common in existing fusion strategies, this approach offers a more reliable and efficient solution for real-time, high-precision monitoring in cement production. It represents an advancement in spectroscopic data fusion techniques, paving the way for improved cement quality control.","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"84 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546785","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":"Centrifugal microfluidic chip for multi-stage sorting and detection of microplastics at micron scale","authors":"Feifei Feng, Wen-Qi Ye, Xuecong Zhao, Peng Wu, Siwei Xiang, Xing Fan, Xiaohong Liu, Hong Liu, Wei Zhang","doi":"10.1016/j.aca.2025.343883","DOIUrl":"https://doi.org/10.1016/j.aca.2025.343883","url":null,"abstract":"<h3>Background</h3>As an emerging contaminant, microplastics(MPs) have been widely detected in the environment, the environmental risks it poses are also becoming more prominent. Among them, micron-sized MPs have relatively higher biotoxicity, necessitating a technique for processing and analysis to separate them by particle size and analyze their composition. The most commonly used MPs separation technology at present is the membrane filtration, which is easily to cause membrane blockage and set error accumulation. Centrifugal microfluidic technology received great attention as a high efficiency, low error and simple operation technology, has great potential for the separation of MPs.<h3>Results</h3>In this paper, we have reported a multi-stage centrifugal microfluidic chip for the separation and detection of MPs (with diameter less than 63 μm). MPs of different diameters ranges were separated under the combination of Centrifugal force and Coriolis force, and orderly captured in four separation chambers according to their sizes. The capture rate of the microfluidic chip for polystyrene microspheres can reach about 87%. We also successfully separated MPs with irregular shapes. Under a rotation speed of 3500–4000 r/min, the maximum Pearson correlation coefficient between the volume equivalent diameters of the irregular MPs and the capture positions was about 0.84. Our proposed separation method was also applicable to microplastic mixtures, which were successfully used for the separation of PVC, PC, and PS particles. The separated MPs can be directly identified to determine their chemical composition by Raman detection.<h3>Significance and novelty</h3>The experimental results demonstrate that our strategy is promising for separating and detecting MPs of different particle sizes in the environment and effectively overcomes the problem of error accumulation in traditional membrane separation methods. Furthermore, the device and methods developed in this study provide a foundational framework for formulating robust environmental risk assessment system.","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"141 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546786","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":"Shear Flow Deformability Cytometry: A Microfluidic Method Advancing Towards Clinical Use-A review","authors":"Lija Fajdiga, Špela Zemljič, Tadej Kokalj, Jure Derganc","doi":"10.1016/j.aca.2025.343894","DOIUrl":"https://doi.org/10.1016/j.aca.2025.343894","url":null,"abstract":"<h3>Background</h3>Shear flow deformability cytometry is an emerging microfluidic technique that has undergone significant advances in the last few years and offers considerable potential for clinical diagnostics and disease monitoring. By simultaneously measuring mechanical and morphological parameters of single cells, it offers a comprehensive extension of traditional cell analysis, delivering unique insight into cell deformability, which is gaining recognition as a novel biomarker for health and disease. Due to its operating principle, the method is particularly suitable for the clinical analysis of blood samples.<h3>Results</h3>This review focuses on the recent developments in shear flow deformability cytometry, which is a widely adopted variant of deformability cytometry. It has a strong potential for applications in clinical practice due to its robust and simple operation, demonstrated applications with whole blood samples, as well as its high throughput, which can reach approximately 1000 cells per second. We begin by discussing some basic factors that influence the mechanical properties of cells and give an overview of deformability cytometry and its operational principles for samples from blood, cultured cells and tissues. Next, we review recent clinically relevant applications in analysis of blood and cancer cells. Finally, we address key challenges to clinical adoption, such as regulatory approval, scalable manufacturing, and workflow integration, emphasizing the need for further validation studies to facilitate clinical implementation.<h3>Significance</h3>This article uniquely emphasizes the clinical relevance of microfluidic shear flow deformability cytometry, by giving an overview of mechanical and morphological biomarkers studied in clinically significant samples. In addition, it addresses critical barriers to clinical translation. By identifying these obstacles, this article aims to demonstrate the potential of deformability cytometry to bridge the gap between the research and the routine medical practice.","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"41 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143539168","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":"Stable isotope tracing reveals glucose metabolism characteristics of drug-resistant B-cell acute lymphoblastic leukemia","authors":"Rong Hu, Zhengwei Duan, Mengyao Wang, Mengting Liu, Yaoxin Zhang, Yanxi Lu, Yuhan Qian, Enjie Wei, Jianghua Feng, Pengfei Guo, Yang Chen","doi":"10.1016/j.aca.2025.343884","DOIUrl":"https://doi.org/10.1016/j.aca.2025.343884","url":null,"abstract":"<h3>Background</h3>Adult B-cell acute lymphocytic leukemia (B-ALL) is a malignant hematologic tumor characterized by the uncontrolled proliferation of B-cell lymphoblasts in the bone marrow. Despite advances in treatment, including chemotherapy and consolidation therapy, many B-ALL patients experience unfavorable prognoses due to the development of drug resistance. The precise mechanisms governing chemotherapy resistance, particularly those related to metabolic reprogramming within tumors, remain inadequately elucidated.<h3>Results</h3>Nalm6/DOX cells exhibited significantly elevated levels of glucose, pyruvate, alanine, glutamine, and glycine compared to Nalm6 cells. Conversely, reduced levels of citrate, acetate, and leucine were observed in Nalm6/DOX cells. Upon exposure to the culture medium supplemented with tracer ¹³C₆-glucose, the Nalm6/DOX cells showed an increase in the abundance of ¹³C-alanine and a decrease in the levels of ¹³C-lactate, indicating impaired utilization of ¹³C-pyruvate. Combining β-chloro-alanine (ALTi) with DOX could decrease the drug resistance phenotype of Nalm6/DOX cells. The results demonstrated that glycolysis and tricarboxylic acid cycle were suppressed in Nalm6/DOX cells, while metabolic flux through the alanine and glutamine pathways was increased. Therefore, inhibition of alanine biosynthesis in Nalm6/DOX exhibits the potential to reverse drug resistance.<h3>Significance</h3>A new insight into the impact of metabolism on chemotherapy resistance in B-ALL has been gained through the use of stable isotope resolved metabolomics based on nuclear magnetic resonance and ultra-performance liquid chromatography/tandem mass spectrometry. This provides promising ways for the development of innovative therapeutic strategies to alleviate drug resistance and relapse in affected patients.","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"17 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143539169","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}