Analytical biochemistry最新文献

{"title":"Development of a green polymer-based sensor for enhanced iron detection in diverse biological, food and environmental matrices","authors":"Rania A. Hussien","doi":"10.1016/j.ab.2025.115927","DOIUrl":"10.1016/j.ab.2025.115927","url":null,"abstract":"<div><div>The determination of iron in fortified biological and foods samples is mandatory by many global regulatory agencies. A polymer inclusion membrane (PIM) composed of poly (vinyl chloride) (PVC) as the polymer matrix, dioctyl phthalate (DOP) serving as the plasticizer, and methyltrioctyl ammonium chloride (Aliquat 336) acting as the carrier, has proven effective for the preconcentration and analysis of iron. This method utilizes 2-(2-amino-3-hydroxypyridine-4-ylazo) benzoic acid (AHPAB) as a complexing agent, enabling a straightforward colorimetric detection process. Adjusting the chemical and physical factors influencing membrane efficiency expanded its practical applications. The Fe³⁺ transport remained consistent under the optimum conditions used in fabricating the PIM. Additionally, employing an acetate buffer at pH 3.66 as the stripping phase facilitated efficient Fe³⁺ transfer, even in the presence of significant competing anions within the analyzed samples. Total iron content was measured after an on-line oxidation process where Fe²⁺ was converted to Fe³⁺ using a hydrogen peroxide stream. The Fe²⁺ concentration was determined by subtracting the Fe³⁺ value from the total iron concentration. Mass calibration was achieved within the range compatible with ICP-AES. The detection limit, defined as 3σ_sβ/S, was 1.75 ng/mL. Repeatability, expressed as the relative standard deviation (RSD) from nine measurements at 60 ng/mL, was 1.75 %, while the inter-sensor repeatability across five chelating sensors was 2.5 %. Furthermore, highlight the potential advantages of incorporating AHPAB into PIMs, such as improved stability, reusability, and enhanced selectivity for Fe ions was achieved. The validated PIM-based method was effectively applied to analyze food, biological, and environmental samples containing naturally occurring Fe²⁺ ions.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"705 ","pages":"Article 115927"},"PeriodicalIF":2.6,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144367799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The long run: A tribute to Arthur Joseph Lawrence Cooper","authors":"John T. Pinto ,&nbsp;Thambi Dorai ,&nbsp;Thomas M. Jeitner ,&nbsp;Travis T. Denton","doi":"10.1016/j.ab.2025.115926","DOIUrl":"10.1016/j.ab.2025.115926","url":null,"abstract":"<div><div>In this issue of <em>Analytical Biochemistry</em>, we honor the life and legacy of Arthur Joseph Lawrence Cooper (1946–2024). Born in London, Arthur made pioneering contributions to medical science, particularly in understanding the role of glutamine in the brain and cancer cell metabolism. His research revealed how glutamine supports neurotransmitter synthesis, energy production, and ammonia detoxification, as well as its critical role in cancer cell growth. His work has greatly advanced both neuroscience and cancer biology, offering insights that could lead to new therapeutic strategies targeting glutamine metabolism.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"705 ","pages":"Article 115926"},"PeriodicalIF":2.6,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144336247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ensuring food security through rapid and in-field detection of diseases in food crops using real time and portable sensors","authors":"Mohamed Abdur Rahman ,&nbsp;Muthusamy Karthikeyan ,&nbsp;Iruthayasamy Johnson ,&nbsp;Kalimuthu Raja ,&nbsp;Chinnathambi Sekar ,&nbsp;Xavier Anitha Mary ,&nbsp;Jaffer Shajith Basha","doi":"10.1016/j.ab.2025.115925","DOIUrl":"10.1016/j.ab.2025.115925","url":null,"abstract":"<div><div>The increasing global population and rising demands for food production require innovative approaches for managing crop losses caused by plant diseases. Conventional diagnostic methods are often limited by time-consuming protocols, lack of real-time monitoring, and the need for specialized laboratory infrastructure. Meanwhile, sensor technology has emerged as a promising tool for early detection and diagnosis of plant diseases. Sensor technology offers rapid, real-time, high sensitivity, and specificity in diagnosing plant diseases. This review comprehensively presents various biosensors based on biorecognition elements and transducer types. It emphasizes the pivotal role of nanotechnology in enhancing biosensor performance through improved conductivity, surface reactivity, and miniaturization, particularly for plant disease detection. Additionally, electronic nose (E-nose) sensors detecting pathogen-induced volatile organic compounds (VOCs) are highlighted for their potential in non-invasive, early-stage diagnosis. The review also discusses the application of nanobiosensors in agriculture for detecting pesticide residues, toxins, and agrochemicals. Metal oxide nanoparticles (MONPs) are recognized for their multifunctional roles in agriculture and environmental remediation, owing to their unique structural and electronic properties. Furthermore, recent advances in photoelectrocatalysis (PEC), which combines light and applied voltage to degrade toxic pollutants via reactive oxygen species (ROS), are examined. Finally, the ultrasensitive Rolling Circle Amplification-Enabled Point-of-Care Test (RCA-POCT) for rapid detection of aflatoxin B1 in food and environmental samples is presented, utilizing biotin-streptavidin interactions coupled with nucleic acid amplification. Alon with challenges and future prospects, underscoring the transformative potential of these technologies in precision agriculture through rapid, in-field detection benefiting farmers, researchers, and scientists.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"705 ","pages":"Article 115925"},"PeriodicalIF":2.6,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A proof-of-concept diagnostic platform for neonatal calf diarrhea using serum infrared spectroscopy and predictive analytics","authors":"Nuri Ceran ,&nbsp;Rafig Gurbanov","doi":"10.1016/j.ab.2025.115924","DOIUrl":"10.1016/j.ab.2025.115924","url":null,"abstract":"<div><div>This study presents a novel diagnostic platform for the rapid and non-invasive detection of neonatal calf diarrhea using ATR-FTIR spectroscopy combined with predictive analytics. Neonatal calf diarrhea is a leading cause of economic losses and animal welfare issues in the cattle industry, and current diagnostic methods are often time-consuming and require invasive sampling. Our approach leverages the unique biochemical fingerprints of serum obtained from healthy, diseased, and recovered calves. The spectral data were preprocessed and analyzed using Principal Component Analysis to extract key molecular features, which were subsequently classified using Linear Discriminant Analysis and Support Vector Machines. These predictive models demonstrated high accuracy in distinguishing the physiological states of the calves, underscoring the potential of this platform as a reliable diagnostic tool. Another significant innovation of this work is the development of the 1080 cm^−1/3300 cm⁻¹ spectrochemical index, a single, interpretable parameter derived from the ratio of the PO₂⁻ symmetric stretching band to the Amide A band. This quantitative index correlates with molecular-level changes associated with disease progression and recovery, further enhancing diagnostic precision and enabling timely intervention. The integration of spectral data into an easily interpretable metric contributes to improved animal welfare and sustainable livestock management practices.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"705 ","pages":"Article 115924"},"PeriodicalIF":2.6,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144289007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proposal and application of nitrogen rules in interpreting gas chromatography negative-ion chemical ionization mass spectrometry spectra","authors":"Dimitrios Tsikas","doi":"10.1016/j.ab.2025.115922","DOIUrl":"10.1016/j.ab.2025.115922","url":null,"abstract":"<div><div>Analytical methods based on GC-MS and GC-MS/MS are widely used for the qualitative and quantitative analysis of physiological and non-physiological organic compounds in biological samples. They include chemical derivatization, GC separation of gasous analytes, their inline ionization in the ion-source, separation of ions by MS or MS/MS, their conversion to electrons, and their final multiplication and registration. Negative-ion chemical ionization (NICI) is usually performed by using methane as the reagent gas. For MS/MS analysis, argon is a common collision gas. In many GC–NICI–MS and GC–NICI–MS/MS mass spectra, the negative charge cannot always be assigned to particular atoms. In this article, rules are proposed for the interpretation of GC–NICI–MS and GC–NICI–MS/MS mass spectra. The NICI nitrogen rules (NICI-NR) were derived from GC–NICI–MS and GC–NICI–MS/MS mass spectra reported in the literature, and their utility is demonstrated exemplarily for N-containing analytes. The NICI-NR say that ions with even <em>m/z</em> values and odd number of N atoms, and ions with odd <em>m/z</em> values and even number of N atoms have a definitely assignable negative charge. In all other cases, including analyte derivatives that contain stable isotopes including ¹⁵N and are radicals, the negative charge is hidden. In those cases, the negative charge is associated with a reduction of a particular C atom, such as that in carbonyl groups, by the uptake of one methane-derived secondary electron. In NICI, carbonyl functionalities are introduced into the analytes by means of perfluorinated derivatization reagents such as pentafluoropropionic anhydride and pentafluorobenzoyl chloride that target N atoms of analytes such as amino acids, bioamines and drugs. The relative importance of carbonylic and F atoms in NICI is discussed.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"705 ","pages":"Article 115922"},"PeriodicalIF":2.6,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144293224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Evaluation of AgNCs@PEI and their integrated hydrogel for colorimetric and fluorometric detection of ascorbic acid” [Anal. Biochem. 687 (2024) 115433]","authors":"Rocky Raj ,&nbsp;Mradula ,&nbsp;Pradipta Samanta ,&nbsp;Ravinderjit Singh ,&nbsp;Abhay Sachdev ,&nbsp;Sunita Mishra","doi":"10.1016/j.ab.2025.115921","DOIUrl":"10.1016/j.ab.2025.115921","url":null,"abstract":"","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"705 ","pages":"Article 115921"},"PeriodicalIF":2.6,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of an immunochromatographic strip for rapid detection of recombinant rice EPSPS in transgenic crops","authors":"Biao Luo ,&nbsp;Fang Wang ,&nbsp;Qiming Wang ,&nbsp;Wanchang Li ,&nbsp;Yan Wang ,&nbsp;Chaoyang Lin ,&nbsp;Wei Wu ,&nbsp;Ruiqiu Fang ,&nbsp;Liqun Rao ,&nbsp;Xianwen Zhang","doi":"10.1016/j.ab.2025.115923","DOIUrl":"10.1016/j.ab.2025.115923","url":null,"abstract":"<div><div>Glyphosate-resistant crops, developed using the EPSPS gene, are widely cultivated globally. Previous studies indicate that the <em>TIPS-OsEPSPS</em> gene provides glyphosate resistance in rice. In this research, the <em>OsmEPSPS</em> gene was utilized to develop glyphosate-resistant, maize, and soybean, and a rapid immunochromatographic strip (ICS) test was designed for specific detection of the OsmEPSPS protein. The ICS test employs a double-antibody sandwich format with two monoclonal antibodies: mAb #9, conjugated to colloidal gold for capture, and mAb #15, for detection at the test line. The ICS exhibited a limit of detection (LOD) of 0.031 μg/mL within 10 min. Additionally, the ICS could detect a concentration of 0.817 μg/mL within 1 min in both <em>Eleusine indica</em> and <em>OsmEPSPS</em>-overexpressing plants. The ICS is highly specific, sensitive, and stable, with an R² value of 0.982. Notably, the ICS is capable of detecting EPSPS proteins with high homology to OsmEPSPS from Poaceae and other plants. In summary, this study developed a sensitive and specific test strip for OsmEPSPS detection, facilitating semiquantitative analysis on the basis of colorimetric response time and intensity. This ICS is not only suitable for the rapid identification of <em>OsmEPSPS</em>-overexpressing plants but also for phylogenetic analysis of EPSPS gene homology.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"705 ","pages":"Article 115923"},"PeriodicalIF":2.6,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NeuroCL: A deep learning approach for identifying neuropeptides based on contrastive learning","authors":"Jian Liu ,&nbsp;Aoyun Geng ,&nbsp;Feifei Cui ,&nbsp;Junlin Xu ,&nbsp;Yajie Meng ,&nbsp;Leyi Wei ,&nbsp;Qingchen Zhang ,&nbsp;Quan Zou ,&nbsp;Zilong Zhang","doi":"10.1016/j.ab.2025.115920","DOIUrl":"10.1016/j.ab.2025.115920","url":null,"abstract":"<div><div>Neuropeptides (NPs), a unique class of neuronal signaling molecules, involved in neurotransmission, endocrine regulation, immune response, mood, and appetite control. The identification of neuropeptides provides critical scientific insights for early diagnosis, targeted therapy, and personalized medicine of related diseases. Previous models struggle to capture complex relationships among features and inter-sample connections. In this study, we introduce NeuroCL, a deep learning model harnessing contrastive learning and a cross-attention mechanism to efficiently identify NPs through multifaceted attribute representation. Experimental outcomes demonstrate that NeuroCL effectively captures data nuances, achieving an impressive accuracy of 93.8 % and a Matthews correlation coefficient (MCC) of 87.8 % on an independent test set. Contrastive learning enhances class distinction and coherence, while cross-attention mechanisms integrate pre-trained large models with manually encoded features, synergistically boosting their capabilities and strengthening feature connections. Our model surpasses current state-of-the-art predictors in NPs identification. Visualization via uniform manifold approximation and projection (UMAP) reveals that NeuroCL distinctly segregates positive NPs from negative ones. To facilitate the accessibility and application of our model, we have established a web-based platform available at <span><span>http://www.bioai-lab.com/NeuroCL</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"705 ","pages":"Article 115920"},"PeriodicalIF":2.6,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144224067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recombinase polymerase amplification for single nucleotide polymorphism-specific detection of βC variant in sickle cell disease","authors":"Mehnaz Urbee Jahangir ,&nbsp;Megan M. Chang ,&nbsp;Alexis Wilkinson ,&nbsp;Zoha Wazir ,&nbsp;Venée N. Tubman ,&nbsp;Gladstone E. Airewele ,&nbsp;Rebecca Richards-Kortum","doi":"10.1016/j.ab.2025.115919","DOIUrl":"10.1016/j.ab.2025.115919","url":null,"abstract":"<div><div>Sickle cell disease (SCD) comprises a group of inherited blood disorders caused by point mutations in the β-globin gene. SCD is characterized by at least one β^S globin allele and a second pathologic globin variant that results in predominant formation of hemoglobin S (HbS). Early diagnosis in low-and middle-income countries is limited by the high cost and complexity of DNA-based tests. Recombinase Polymerase Amplification (RPA) is an isothermal nucleic acid amplification technique that facilitates rapid and low-cost detection of genetic mutations. While RPA primers have been developed to detect wild-type β^A and β^S alleles, they can also amplify the β^C allele, the next most common hemoglobin variant causing SCD which requires distinct clinical management. We developed a novel allele-specific RPA fluorescent assay for selective detection of the β^C allele using primers incorporating Amplification Refractory Mutation System (ARMS) and Locked Nucleic Acid (LNA) modifications. Twelve forward primers with different modifications were screened to achieve β^C-specific amplification. The best-performing primer combined a single mismatch near the 3′ end with an LNA at the terminal base, enabling specific detection of β^C with a limit of detection of 100 copies per reaction. Key design insights include avoiding mismatches immediately before the LNA for consistent target amplification and positioning the LNA closer to the 3′ end to achieve less sensitive amplification. This study establishes an isothermal assay for SCD diagnosis and offers systemic design strategies for SNP-specific RPA assays. These findings have important implications for expanding affordable, rapid genetic testing for hemoglobinopathies in low-resource settings.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"705 ","pages":"Article 115919"},"PeriodicalIF":2.6,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144214636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revolutionizing cancer diagnostics: The promise of exosome-based biosensors","authors":"Mohamed J. Saadh ,&nbsp;Tamara Nazar Saeed ,&nbsp;Ali Fawzi Al-Hussainy ,&nbsp;Ashok Kumar Bishoyi ,&nbsp;Suhas Ballal ,&nbsp;Abhayveer Singh ,&nbsp;V. Kavitha ,&nbsp;Zafar Aminov ,&nbsp;Sada Ghalib Taher ,&nbsp;Mariem Alwan ,&nbsp;Mahmood Jawad ,&nbsp;Hiba Mushtaq","doi":"10.1016/j.ab.2025.115912","DOIUrl":"10.1016/j.ab.2025.115912","url":null,"abstract":"<div><div>Exosomes are a group of extracellular nanovesicles that are produced by all cells, including cancer cells. They carry the biological information of mother cells and can facilitate tumor growth. Another advantage of exosomes is their abundance in all body fluids such as saliva, urine, blood and peritoneal fluid. Therefore, identifying and isolating them as biomarkers is useful in early cancer detection. However, due to the limited concentration of exosomes in clinical samples and their interference with the internal environment, accurate identification and effective diagnosis of cancer cells faces problems. Therefore, there is a need to implement highly sensitive and specific biosensors to detect exosomes from cancer tumors in complex biological environments. In the present review, biosensors developed for the detection of colon, prostate, breast and bladder cancers are discussed. We discuss various sensing platforms, including electrochemical, optical, and microfluidic-based approaches, and their integration with exosome isolation and characterization techniques. Challenges and future directions in the field are also addressed, highlighting the potential of exosome-based biosensors to revolutionize cancer diagnostics and personalized medicine.</div></div>","PeriodicalId":7830,"journal":{"name":"Analytical biochemistry","volume":"705 ","pages":"Article 115912"},"PeriodicalIF":2.6,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144195309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}