Analytical and Bioanalytical Chemistry最新文献

{"title":"Engineering stimuli-responsive CRISPR-Cas systems for versatile biosensing.","authors":"Linxin Cao, Wenhui Chen, Wenyuan Kang, Chunyang Lei, Zhou Nie","doi":"10.1007/s00216-024-05678-y","DOIUrl":"10.1007/s00216-024-05678-y","url":null,"abstract":"<p><p>The precise target recognition and nuclease-mediated effective signal amplification capacities of CRISPR-Cas systems have attracted considerable research interest within the biosensing field. Guided by insights into their structural and biochemical mechanisms, researchers have endeavored to engineer the key biocomponents of CRISPR-Cas systems with stimulus-responsive functionalities. By the incorporation of protein/nucleic acid engineering techniques, a variety of conditional CRISPR-Cas systems whose activities depend on the presence of target triggers have been established for the efficient detection of diverse types of non-nucleic acid analytes. In this review, we summarized recent research progress in engineering Cas proteins, guide RNA, and substrate nucleic acids to possess target analyte-responsive abilities for diverse biosensing applications. Furthermore, we also discussed the challenges and future possibilities of the stimulus-responsive CRISPR-Cas systems in versatile biosensing.</p>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":" ","pages":"1699-1711"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142724501","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":"An ultra-fast method for therapeutic drug monitoring of tacrolimus, sirolimus and cyclosporine A.","authors":"Zhi-Hua Lv, Xin Li, Rui Peng, Shao-Ting Wang","doi":"10.1007/s00216-025-05773-8","DOIUrl":"10.1007/s00216-025-05773-8","url":null,"abstract":"<p><p>Therapeutic drug monitoring for immunosuppressants is a widely conducted global practice. Traditionally, the pretreatment of whole blood involves the use of metal ions combined with organic solvents. However, this method requires multiple reagent additions, repeated opening, closing, and vortexing of vials, and it also leads to heavy metal pollution. Given the typically large sample volumes, optimizing this process is crucial for increasing throughput, reducing the workload of clinical staff, and lowering costs. We discovered that treating whole blood with a 60 to 75% acetonitrile (ACN) solution effectively releases tacrolimus, sirolimus, and cyclosporine A while simultaneously precipitating protein. This allowed us to significantly simplify the pretreatment process to just adding 65% ACN solution containing internal standards, manually shaking for 20 s, and centrifuging for 2 min. The resulted supernatant can then be directly analyzed by mass spectrometry. Method validation demonstrated that the new approach can accurately quantify tacrolimus in the range of 0.64 to 37.5 ng/ml, cyclosporine A at 12 to 976 ng/ml, and sirolimus at 0.99 to 43.4 ng/ml. A comparison of paired samples showed the new method to be perfectly consistent with the classical method, with 293 out of 300 results deviating by no more than ± 20%. This study has greatly simplified the workflow, increased throughput, and resolved environmental concerns for therapeutic drug monitoring of immunosuppressants, including tacrolimus, sirolimus, and cyclosporine A, in whole blood samples. The proposed method is a viable replacement for existing protocols and deserves to be adopted in all clinical laboratories with relevant practical needs globally.</p>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":" ","pages":"1915-1925"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143424693","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":"Requirements for fast multianalyte detection and characterisation via electrochemical-assisted SERS in a reusable and easily manufactured flow cell.","authors":"Maximilian E Blaha, Anish Das, Detlev Belder","doi":"10.1007/s00216-025-05763-w","DOIUrl":"10.1007/s00216-025-05763-w","url":null,"abstract":"<p><p>Surface-enhanced Raman spectroscopy (SERS) is a highly sensitive analytical technique that captures vibrational spectra of analytes adsorbed to rough coin metal surfaces with remarkable signal intensities. However, its wider application is limited by challenges in substrate range, quantification, and the disposable nature of SERS substrates partly due to irreversible analyte adsorption-commonly referred to as the 'memory effect'. Overcoming these limitations and achieving real-time analysis in flow-through systems remains a key challenge for the advancement of SERS. This study presents a SERS flow cell incorporating an Ag-based SERS substrate and a Pt counter-electrode, enabling the investigation of how electrochemical methods can address existing challenges. Our approach demonstrates that signal intensities can be both enhanced and spectroelectrochemically modified. Additionally, the combination of constant solvent flow and electrochemical potentials enhances the longevity of the SERS substrate, facilitating multianalyte measurements while mitigating the memory effect. Key parameters have been systematically studied, including SERS substrate materials (silver and copper), solvents, buffers, supporting electrolytes, and electrochemical protocols. We achieved consistent and reproducible electrochemical tuning of SERS signals by using halogen-free electrolytes in polar solvents commonly used in techniques like HPLC. The versatility of the system was validated through the analysis of several model compounds and the sequential detection of multiple analytes. We also successfully applied the system to detect and characterise contaminants and pharmaceuticals, highlighting its potential for a wide range of analytical applications.</p>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":" ","pages":"1847-1861"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11914304/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143078282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Studying host cell protein based on 2D nano-LC-MS/MS: comparison between the removal and the reservation of the main antibody components.","authors":"Xinling Cui, Lei Li, Ming Li, Wantao Ying, Jinlan Cheng, Ling Lin, Wei Mi, Zhishang Hu","doi":"10.1007/s00216-025-05786-3","DOIUrl":"10.1007/s00216-025-05786-3","url":null,"abstract":"<p><p>Host cell proteins (HCPs) are process-related impurities that are generated by the host organism, and are typically present at low levels in therapeutic monoclonal antibody (mAb) and other recombinant biopharmaceutical products. Firstly, a high-pH-low-pH \"two-dimensional\" reversed-phase nano-LC-MS/MS label-free quantification (2D nano-LC-MS/MS LFQ) method with a robust stability (CV% < 20%) was developed. Subsequently, this study developed economical hexamer ligand (HWRGWV) magnetic beads (HLMB), which aim to improve the sensitivity and reliability of HCP detection and has an IgG antibody-binding capacity similar to that of Protein A. In turn, the HCP study based on 2D nano-LC-MS/MS, a comparison between the removal and the reservation of the main antibody components was developed, and the qualitative and quantitative results were compared among HLMB/Protein A depletion and other two pretreatment processes. Results of this study indicated that after using HLMB/ProA material for antibody primary component removal, the content of HCPs in the elution buffer (associated or co-purified with the antibody) was significantly higher than that in the flow-through. In total, 22 kinds of HCPs were co-identified in HLMB eluent and ProA eluent, in which most of the HCPs exhibited weak alkalinity, while the sensitivity of HCPs identified with a low molecular weight (ranging from 13 to 21 kDa) was as low as 0.1 ppm. Together, this study established an economical and effective approach to comprehensively evaluate HCPs in antibodies, while also globally presenting the impact of major antibody components on the qualitative and quantitative analyses of HCPs.</p>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":" ","pages":"2047-2060"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143439728","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":"Ratiometric surface-enhanced Raman scattering quantification of extracellular matrix metalloproteinase-2 activity for tumor diagnosis.","authors":"Dan Zhu, Hanyan Zhong, Jingzhan Shi, Qiang Liu, Yiping Wang","doi":"10.1007/s00216-025-05792-5","DOIUrl":"10.1007/s00216-025-05792-5","url":null,"abstract":"<p><p>As a precursor to cancer metastasis, the matrix metalloproteinase (MMP) family can degrade almost all protein components of the extracellular matrix, disrupting the histological barrier and promoting tumor invasion. Therefore, the sensitive and reliable detection of MMP activity in the tumor microenvironment is of great importance for the diagnosis and prognosis of malignant tumors. Here, a ratiometric surface-enhanced Raman scattering (SERS) sensing strategy based on interference-free internal standard was proposed for the accurate quantification of MMP-2 activity. A plasmonic substrate with core-satellite structure was constructed by self-assembly of silver nanoparticles on the gold core, which provided excellent SERS enhancement due to the coupling interaction. Besides, rhodamine B (RhB)-labelled substrate peptides and 4-mercaptobenzonitrile (MBN) were used as the MMP-2 recognizer and internal standard, respectively. MMP-2 specifically cleaved the peptides in half, leaving the RhB molecule free and the Raman signal at 1650 cm^-1 weak. Benefitting from the synergistic normalization by MBN at 2223 cm^-1 in the cell silent region, this ratio-type readout signal (I₂₂₂₃/I₁₆₅₀) was resistant to the endogenous and exogenous interference, contributing to the reproducibility and stability. The experimental results showed that the nanoprobe was capable of detecting MMP-2 activity at concentrations ranging from 10 to 100 ng/mL, and the limit of detection could be down to 0.715 ng/mL. Importantly, it was successfully used to differentiate the breast cancer cells from the normal cells based on the MMP-2 activity, which could have a great potential in the fields of tumor biology and accurate disease diagnosis.</p>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":" ","pages":"2073-2083"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143447751","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":"Selective determination of 3,5-dihydroxycinnamic acid in urine samples as gluten intake biomarker: high-performance thin-layer chromatography combined with colorimetric detection.","authors":"A Martínez-Aviñó, L Sanjuan-Navarro, Yolanda Moliner-Martínez, M Roca, C Ribes-Koninckx, P Campins-Falco","doi":"10.1007/s00216-025-05788-1","DOIUrl":"10.1007/s00216-025-05788-1","url":null,"abstract":"<p><p>The determination of biomarkers is a significant field of analytical chemistry research under continuous evolution that contributes to enhance diagnostics and enable more personalized medicine. Celiac disease is a systemic autoimmune disorder caused by the ingestion of gluten (Glu) proteins found in various cereals. Currently, the only effective way to prevent and manage potential complications is through a strict gluten-free diet (GFD). However, both intentional and unintentional dietary transgressions can occur, often leading to persistent symptoms and ineffective treatment. In this scenario, the development of analytical strategies to detect biomarkers of gluten intake and monitor adherence to a GFD is of significant interest. Herein, we present an analytical strategy based on high-performance thin-layer chromatography (HPTLC) combined with colorimetric detection to estimate 3,5-dihydroxycinnamic acid (3,5-DHCA) as selective biomarker of Glu intake in urine. The approach combined Fast Blue (FB)-doped polydimethylsiloxane (PDMS) membrane with colorimetric HPTLC (RP-C18) giving rise to a selective method to isolate 3,5-DHCA response in urine samples. Detection by visual inspection, image analysis, and spectroscopic response was evaluated and compared. Analytical parameters were estimated showing a good sensitivity (limit of detection (LOD) ≤ 0.8 mg L^-1) and precision, relative standard deviation (RSD) values < 7%. Analysis of urine samples of celiac patients and control patients was performed, and recovery studies showed satisfactory values (R > 80%). The preliminary results indicated correlation between Glu intake and positive 3,5-DHCA responses. This study demonstrated that FB-doped PDMS membranes-HPTLC is a promising tool for detecting dietary transgressions to the GFD by visual inspection, and subsequent quantitative analysis by image analysis and spectroscopic techniques. Hence, the proposed analytical method contributes to the advance of knowledge about celiac disease, which still remains an important challenge to our society.</p>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":" ","pages":"2061-2072"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11961461/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143447753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative ¹H NMR optimization for high-throughput metabolite analysis in industrial bioprocess monitoring.","authors":"Yingting Shi, Yuxiang Wan, Yiru Wang, Kerui Fang, Jiayu Yang, Yuting Lu, Xinyuan Xie, Jianyang Pan, Dong Gao, Haibin Wang, Haibin Qu","doi":"10.1007/s00216-025-05845-9","DOIUrl":"https://doi.org/10.1007/s00216-025-05845-9","url":null,"abstract":"<p><p>Quantitative ¹H NMR (¹H qNMR) is an ideal tool for bioprocess monitoring because it can comprehensively detect and quantify diverse metabolites that significantly influence bioprocess performance. However, the long experiment time associated with the ¹H qNMR, due to the long longitudinal relaxation time (T1) of some metabolites, does not meet the requirements for high-throughput analysis. We developed a high-throughput ¹H qNMR method for bioprocess analysis using a short relaxation delay (D1) to reduce analytical time and a correction factor (k) to compensate for incomplete relaxation. A total of 27 metabolites were quantified using spectral deconvolution via a peak fitting algorithm and MCR-ALS. Methodological validation results indicated that the precision and accuracy of the developed qNMR method were consistently high across different D1 values, with LOQs ranging from 0.008 to 0.13 mM and LODs ranging from 0.024 to 0.38 mM. Notably, a longer D1 value generally resulted in lower LODs and LOQs for most metabolites. A D1 value of 4 s was optimal for balancing analysis time and performance. The method is broadly applicable for bioprocess monitoring and control, offering valuable guidance for optimizing CHO cell culture processes and improving yield.</p>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750566","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":"GlycoDash: automated, visually assisted curation of glycoproteomics datasets for large sample numbers.","authors":"Tamas Pongracz, Steinar Gijze, Agnes L Hipgrave Ederveen, Rico J E Derks, David Falck","doi":"10.1007/s00216-025-05794-3","DOIUrl":"10.1007/s00216-025-05794-3","url":null,"abstract":"<p><p>The challenge of robust and automated glycopeptide quantitation from liquid chromatography-mass spectrometry (LC-MS) data has yet to be adequately addressed by commercial software. Recently, open-source tools like Skyline and LaCyTools have advanced the field of label-free MS¹ level quantitation. Yet, important steps late in the data processing workflow remain manual. Because manual data curation is time-consuming and error-prone, it presents a bottleneck, especially in an era of emerging high-throughput methodologies and increasingly complex analyses such as antigen-specific antibody glycosylation. We addressed this gap by developing GlycoDash, an R Shiny-based interactive web application designed to democratize label-free high-throughput glycoproteomics data analysis. The software comes in at a stage where analytes have been identified and quantified, but whole measurement and individual analyte signals of insufficient quality for quantitation remain and reduce the quality of the overall dataset. GlycoDash focuses on these challenges by incorporating several options for measurement and metadata linking, spectral and analyte curation, normalization, and repeatability assessment, and additionally includes glycosylation trait calculation, data visualization, and reporting capabilities that adhere to FAIR principles. The performance and versatility of GlycoDash were demonstrated across antibody glycoproteomics data of increasing complexity, ranging from relatively simple monoclonal antibody glycosylation analysis to a clinical cohort with over a thousand measurements. In a matter of hours, these large, diverse, and complex datasets were curated and explored. High-quality datasets with integrated metadata ready for final analysis and visualization were obtained. Critical aspects of the curation strategy underlying GlycoDash are discussed. GlycoDash effectively automates and streamlines the curation of glycopeptide quantitation data, addressing a critical need for high-throughput glycoproteomics data analysis. Its robust performance across diverse datasets and its comprehensive feature toolbox significantly enhance both research and clinical applications in glycoproteomics.</p>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":" ","pages":"2003-2014"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11961463/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143476074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Limitations of the molybdenum blue method for phosphate quantification in the presence of organophosphonates.","authors":"Ruoning Guo, Anna M Röhnelt, Philipp R Martin, Stefan B Haderlein","doi":"10.1007/s00216-025-05850-y","DOIUrl":"https://doi.org/10.1007/s00216-025-05850-y","url":null,"abstract":"<p><p>Organophosphonates (OPs) are widely used as chelating agents in domestic and industrial applications. While regarded as hardly biodegradable, OPs can undergo abiotic transformation with phosphate (PO₄^3-) as a main transformation product. As some OPs are suspected precursors of glyphosate in surface waters, their environmental fate is of current interest. Due to analytical challenges posed by quantification of individual OPs, monitoring PO₄^3- formation is a widely used proxy to monitor OP transformations. The molybdenum blue (MB) method, employing UV/Vis spectroscopy, is frequently used for PO₄^3- quantification due to its sensitivity and operational simplicity. However, while interference of certain inorganic ions is well-documented, the effects of OPs on the accuracy of the MB method remain unexplored. This study investigated the effects of six OPs, namely N-(phosphonomethyl)glycine (glyphosate), 1-hydroxyethylidene(1,1-diphosphonic acid) (HEDP), iminodi(methylene phosphonate) (IDMP), aminotris(methylene phosphonate) (ATMP), ethylenediaminetetra(methylene phosphonate) (EDTMP), and diethylenetriaminepenta(methylene phosphonate) (DTPMP). Spectral analysis of pure PO₄^3- standards using the MB method exhibits two characteristic absorption maxima (λ_max) at 710 and 880 nm. In the presence of OPs, a new λ_max appears around 760 nm. This is accompanied by an increase in absorbance values at both 710 and 880 nm, leading to significant over-quantification of PO₄^3- concentrations. Among the evaluated OPs, DTPMP exhibits the most substantial interference (PO₄^3- over-quantification by up to 240%), while glyphosate causes minimal interference (≤ 20%). The effects are most pronounced at OPs:PO₄^3- ratios ≥1. A case study simulating DTPMP transformation confirms PO₄^3- over-quantification of up to 350%, revealing limitations of the MB method. Therefore, careful data evaluation and complementary analytical techniques for accurate PO₄^3- measurements are indispensable in OP transformation research.</p>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750446","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":"Rapid and accurate identification of foodborne bacteria: a combined approach using confocal Raman micro-spectroscopy and explainable machine learning.","authors":"Qiancheng Tu, Miaoyun Li, Zhiyuan Sun, Huimin Niu, Lijun Zhao, Yanxiao Wang, Lingxia Sun, Yanxia Liu, Yaodi Zhu, Gaiming Zhao","doi":"10.1007/s00216-025-05816-0","DOIUrl":"https://doi.org/10.1007/s00216-025-05816-0","url":null,"abstract":"<p><p>This study proposes a rapid identification method for foodborne pathogens by combining Raman spectroscopy with explainable machine learning. Spectral data of nine common foodborne pathogens are collected using a laser confocal Raman spectrometer, and their characteristic Raman peaks are identified and analyzed. Key spectral features are extracted using competitive adaptive reweighted sampling (CARS) and the successive projections algorithm (SPA), while t-distributed stochastic neighbor embedding (t-SNE) is employed for visualization. Subsequently, classification models, including support vector machine (SVM) and random forest (RF), are developed, and the optimal model is selected based on classification accuracy (ACC), with the RF model achieving a test accuracy of 98.91%. To enhance the interpretability of the model, Shapley Additive exPlanations (SHAP) analysis is applied to evaluate the contribution of each spectral feature to the classification results, identifying critical Raman shifts significantly influencing pathogen classification. The results demonstrate that CARS-SPA feature selection not only improves the accuracy and efficiency of the classification model but also enhances its transparency and reliability. This study optimizes the workflow for food safety testing, reduces the risk of foodborne diseases, and provides robust technical support for public health and safety.</p>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741942","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}