Biosensors and Bioelectronics: X最新文献

英文中文

A deeper evaluation of cytokeratin fragment 21-1 as a lung cancer tumor marker and comparison of different assays

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-02-17 DOI: 10.1016/j.biosx.2025.100593

Dianna J. Rowe , Timothy A. Khalil , Michael N. Kammer , Caroline M. Godfrey , Yong Zou , Cindy L. Vnencak-Jones , David Xiao , Stephen Deppen , Eric L. Grogan

Studies show CYFRA 21-1 fragments of cytokeratin 19 (CK19) to be promising biomarkers for non-small cell lung cancer (NSCLC). Although previous literature identifies specific CYFRA 21-1 antibody binding epitopes, the exact molecular weight of the CK19 fragment being detected by current assays is not well-documented. Serum samples from 58 patients (lung cancer (N = 36), control (N = 22)) were used to measure CYFRA 21-1 across four different quantification assays: enzyme-linked immunosorbent assay (ELISA), chemiluminescent assay (ChLIA), electrochemiluminescence immunoassay (ECLIA), and compensated interferometric reader (CIR). In the cancer group, correlation between ECLIA and ELISA was high (R(Pearson) = 0.948, r(Spearman) = 0.868) while correlation between ECLIA vs ChLIA and ECLIA vs CIR was low (R= 0.005, r = −0.0593), (R = 0.0275, r = 0.167), respectively. In the control group, correlation between ECLIA and ELISA was high (R = 0.948, r = 0.868) while correlation between ECLIA vs ChLIA and ECLIA vs CIR was low (R = 0.005, r = −0.0593), (R = 0.0275, r = 0.167), respectively. Compared to ECLIA, concordance coefficients (p_c) were poor (p_c < 0.90) across all assays except for cancers group in ELISA (p_c = 0.913). ECLIA was the only assay to report control ranges above 1 ng/mL CYFRA 21-1 (ECLIA, 1.14–21.59 ng/mL; ELISA, 0.79–24.26 ng/mL; ChLIA, 0.062–0.691 ng/mL; 0.08–7.68 ng/mL). Differing sizes of the protein being measured by each assay may have a role in the discrepancies observed. Given the different CYFRA 21-1 concentration estimates among assays, further characterization of the fragment and its release during epithelial malignancies, such as NSCLC, is imperative to developing effective biomarker assays.

{"title":"A deeper evaluation of cytokeratin fragment 21-1 as a lung cancer tumor marker and comparison of different assays","authors":"Dianna J. Rowe , Timothy A. Khalil , Michael N. Kammer , Caroline M. Godfrey , Yong Zou , Cindy L. Vnencak-Jones , David Xiao , Stephen Deppen , Eric L. Grogan","doi":"10.1016/j.biosx.2025.100593","DOIUrl":"10.1016/j.biosx.2025.100593","url":null,"abstract":"<div><div>Studies show CYFRA 21-1 fragments of cytokeratin 19 (CK19) to be promising biomarkers for non-small cell lung cancer (NSCLC). Although previous literature identifies specific CYFRA 21-1 antibody binding epitopes, the exact molecular weight of the CK19 fragment being detected by current assays is not well-documented. Serum samples from 58 patients (lung cancer (N = 36), control (N = 22)) were used to measure CYFRA 21-1 across four different quantification assays: enzyme-linked immunosorbent assay (ELISA), chemiluminescent assay (ChLIA), electrochemiluminescence immunoassay (ECLIA), and compensated interferometric reader (CIR). In the cancer group, correlation between ECLIA and ELISA was high (R<em>(Pearson)</em> = 0.948, r<em>(Spearman)</em> = 0.868) while correlation between ECLIA vs ChLIA and ECLIA vs CIR was low (R<em>=</em> 0.005, r = −0.0593), (R = 0.0275, r = 0.167), respectively. In the control group, correlation between ECLIA and ELISA was high (R = 0.948, r = 0.868) while correlation between ECLIA vs ChLIA and ECLIA vs CIR was low (R = 0.005, r = −0.0593), (R = 0.0275, r = 0.167), respectively. Compared to ECLIA, concordance coefficients <strong>(</strong><em>p</em><sub><em>c</em></sub>) were poor (<em>p</em><sub><em>c</em></sub> < 0.90) across all assays except for cancers group in ELISA (<em>p</em><sub><em>c</em></sub> = 0.913). ECLIA was the only assay to report control ranges above 1 ng/mL CYFRA 21-1 (ECLIA, 1.14–21.59 ng/mL; ELISA, 0.79–24.26 ng/mL; ChLIA, 0.062–0.691 ng/mL; 0.08–7.68 ng/mL). Differing sizes of the protein being measured by each assay may have a role in the discrepancies observed. Given the different CYFRA 21-1 concentration estimates among assays, further characterization of the fragment and its release during epithelial malignancies, such as NSCLC, is imperative to developing effective biomarker assays.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"23 ","pages":"Article 100593"},"PeriodicalIF":10.61,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A liquid biopsy algorithm exploiting local exosome heterogeneity

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-02-16 DOI: 10.1016/j.biosx.2025.100585

Taekmin Kim, Dayeon Choi, Soonjoung Kwon, Se-Eun Park, Jongki Kim, Yoon-Ho Lee, Seung-Cheol Choi, Se-Hwan Paek

We developed a novel cancer detection method that leverages changes in local exosome heterogeneity to regulate bulk-scale heterogeneity in body fluids. Using an automated, reversible isolation system and downstream immunoassays, we investigated exosome subclasses exhibiting marker composition changes associated with cancer. We introduced an index, R, to measure local heterogeneity changes, quantifying the proportion of a third marker within double-marker-positive subclasses. This method, which employs pan-exosome tetraspanins CD9, CD63, and CD81, revealed distinct heterogeneity differences between normal and cancer samples. These differences were consistently demonstrated in exosome samples derived from various cell lines and human sera. Notably, in clinical samples, R values distributed samples from healthy donors and cancer patients into unique patterns based on the third marker within specific subclasses. However, across subclasses, R value changes were significantly smaller in healthy samples than in cancer samples. Sorting patterns were simulated using exosomes derived from immune cells, indicating an immune response contribution to the observed signals. These findings highlight the method's potential for identifying biomarkers for specific cancer diagnoses and multi-cancer screening.

我们开发了一种新型癌症检测方法，它利用局部外泌体异质性的变化来调节体液中大量的异质性。利用自动化、可逆分离系统和下游免疫测定，我们研究了表现出与癌症相关的标记物组成变化的外泌体亚类。我们引入了一个指数 R 来衡量局部异质性变化，量化双标记物阳性亚类中第三个标记物的比例。这种方法采用了泛外显子四聚体 CD9、CD63 和 CD81，揭示了正常样本和癌症样本之间明显的异质性差异。这些差异在来自不同细胞系和人类血清的外泌体样本中得到了一致证实。值得注意的是，在临床样本中，根据特定亚类中的第三个标记物，R 值将来自健康供体和癌症患者的样本分布成独特的模式。不过，在不同的亚类中，健康样本的 R 值变化明显小于癌症样本。使用免疫细胞的外泌体模拟了分选模式，表明免疫反应对观察到的信号有贡献。这些发现凸显了该方法在确定用于特定癌症诊断和多种癌症筛查的生物标记物方面的潜力。

{"title":"A liquid biopsy algorithm exploiting local exosome heterogeneity","authors":"Taekmin Kim, Dayeon Choi, Soonjoung Kwon, Se-Eun Park, Jongki Kim, Yoon-Ho Lee, Seung-Cheol Choi, Se-Hwan Paek","doi":"10.1016/j.biosx.2025.100585","DOIUrl":"10.1016/j.biosx.2025.100585","url":null,"abstract":"<div><div>We developed a novel cancer detection method that leverages changes in local exosome heterogeneity to regulate bulk-scale heterogeneity in body fluids. Using an automated, reversible isolation system and downstream immunoassays, we investigated exosome subclasses exhibiting marker composition changes associated with cancer. We introduced an index, R, to measure local heterogeneity changes, quantifying the proportion of a third marker within double-marker-positive subclasses. This method, which employs pan-exosome tetraspanins CD9, CD63, and CD81, revealed distinct heterogeneity differences between normal and cancer samples. These differences were consistently demonstrated in exosome samples derived from various cell lines and human sera. Notably, in clinical samples, R values distributed samples from healthy donors and cancer patients into unique patterns based on the third marker within specific subclasses. However, across subclasses, R value changes were significantly smaller in healthy samples than in cancer samples. Sorting patterns were simulated using exosomes derived from immune cells, indicating an immune response contribution to the observed signals. These findings highlight the method's potential for identifying biomarkers for specific cancer diagnoses and multi-cancer screening.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"23 ","pages":"Article 100585"},"PeriodicalIF":10.61,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143445300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Microfluidic impedance sensing distinguishes cancer cell states: A step towards point-of-care diagnostics

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-02-10 DOI: 10.1016/j.biosx.2025.100589

Mahtab Kokabi , Gulam M. Rather , Mehdi Javanmard

In this study, we employed a custom microfluidic sensor to measure the electrical impedance of cancer cells, aiming to differentiate between suspension and adherent phenotypes. We investigated three suspension cell lines—JeKo-1, MM-1R, and Maver-1—representing hematological malignancies, and two adherent breast cancer cell lines—MDA-MB-231 and MDA- MB-468. The impedance measurements revealed significant differences corresponding to the cells’ growth patterns. Suspension cells exhibited lower median impedance values compared to adherent cells, likely due to variations in cell size, complexity, and membrane properties. Suspension cells, being smaller and less structurally complex, demonstrated reduced impedance, whereas adherent cells, which are larger and form stronger surface attachments, displayed higher impedance values. These findings highlight the potential of electrical impedance as a tool for distinguishing cancer cell types. To further validate these results, we propose focusing on the transition of a single cancer cell type between adherent and suspension states, simulating in vitro cancer proliferation conditions. This approach will provide a deeper understanding of how electrical properties evolve during this transition and may offer insights into distinguishing between benign and metastatic cancers or assessing metastatic stages. The observed reduction in impedance during the adherent-to-suspension transition supports the potential diagnostic utility of this method. Overall, this study demonstrates that electrical impedance provides a rapid, label-free approach for enhancing cancer cell diagnostics based on distinct electrical characteristics.

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引用次数: 0

Integrating voltammetry and substrate-enhanced luminescence for noninvasive glucose sensing

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-02-07 DOI: 10.1016/j.biosx.2025.100591

Gabriel López-Peña , Ana Pallarés Vilar , Aida Jaafar , Silvia Simón-Fuente , Antonio Arranz , Maria Ribagorda , Miguel Manso-Silván , Emma Martín Rodríguez

This study presents a novel noninvasive and enzyme-free dual sensor based on porous silicon (PSi) for the detection of D-glucose through tear fluid analysis. The sensor incorporates NaGdF₄:20% Yb³⁺, 2% Er³⁺ nanoparticles (YbEr-NPs) immobilized on a PSi substrate functionalized with a phenylboronic ester molecule. The YbEr-NPs enable luminescence-based sensing, exploiting the sensitivity of Er³⁺ ions to the OH vibrational groups present in D-glucose. Electrodes fabricated on a PSi substrate allow for voltammetric analysis, providing a second detection method. The voltammetric sensor achieved a limit of detection (LoD) of 20 mg/dL in the range of 20–200 mg/dL, which is suitable for detecting D-glucose concentrations in the tear fluid of diabetic patients. The luminescence-based sensor, utilizing the red-to-green emission ratio of YbEr-NPs, reached a LoD of 140 mg/dL in the range of 10–70 mg/dL, covering the hyperglycemic range. The interaction between the YbEr-NPs and the PSi substrate led to the appearance of new emission bands and increased intensity, attributed to surface defects acting as an additional excitation source. The 556 nm emission band showed a strong dependence on the D-glucose concentration, improving the LoD to 110 mg/dL. This provides a novel strategy for D-glucose detection based on the effect of the molecule on the interaction between the Rare-earth-doped nanoparticles and the PSi substrate. This triple-sensing approach offers a promising solution for noninvasive glucose monitoring, enabling detection in both the hypoglycemic and hyperglycemic ranges.

{"title":"Integrating voltammetry and substrate-enhanced luminescence for noninvasive glucose sensing","authors":"Gabriel López-Peña , Ana Pallarés Vilar , Aida Jaafar , Silvia Simón-Fuente , Antonio Arranz , Maria Ribagorda , Miguel Manso-Silván , Emma Martín Rodríguez","doi":"10.1016/j.biosx.2025.100591","DOIUrl":"10.1016/j.biosx.2025.100591","url":null,"abstract":"<div><div>This study presents a novel noninvasive and enzyme-free dual sensor based on porous silicon (PSi) for the detection of D-glucose through tear fluid analysis. The sensor incorporates NaGdF<sub>4</sub>:20% Yb<sup>3+</sup>, 2% Er<sup>3+</sup> nanoparticles (YbEr-NPs) immobilized on a PSi substrate functionalized with a phenylboronic ester molecule. The YbEr-NPs enable luminescence-based sensing, exploiting the sensitivity of Er<sup>3+</sup> ions to the OH vibrational groups present in D-glucose. Electrodes fabricated on a PSi substrate allow for voltammetric analysis, providing a second detection method. The voltammetric sensor achieved a limit of detection (LoD) of 20 mg/dL in the range of 20–200 mg/dL, which is suitable for detecting D-glucose concentrations in the tear fluid of diabetic patients. The luminescence-based sensor, utilizing the red-to-green emission ratio of YbEr-NPs, reached a LoD of 140 mg/dL in the range of 10–70 mg/dL, covering the hyperglycemic range. The interaction between the YbEr-NPs and the PSi substrate led to the appearance of new emission bands and increased intensity, attributed to surface defects acting as an additional excitation source. The 556 nm emission band showed a strong dependence on the D-glucose concentration, improving the LoD to 110 mg/dL. This provides a novel strategy for D-glucose detection based on the effect of the molecule on the interaction between the Rare-earth-doped nanoparticles and the PSi substrate. This triple-sensing approach offers a promising solution for noninvasive glucose monitoring, enabling detection in both the hypoglycemic and hyperglycemic ranges.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"23 ","pages":"Article 100591"},"PeriodicalIF":10.61,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An electrolyte-gated transistor for the monitoring of a CRISPR/Cas activity

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-02-06 DOI: 10.1016/j.biosx.2025.100590

Pierre Guermonprez , Le Tu Anh , Louis Renaud , Pierre Nioche , Eric Krejci , Aurélie Alleaume-Butaux , Nicolas Battaglini , Vu Thi Thu , Sébastien Sanaur , Benoît Piro

Detection of Ribonucleic acids (RNA) is a critical step in the identification of viral or bacterial infections in humans and animals. Reverse transcriptase-polymerase chain reaction (RT-PCR) remains the gold standard, but clustered regularly interspaced short palindromic repeats linked to a Cas endoribonuclease particle (CRISPR/Cas) have recently revolutionized the recognition step of two RNAs, i.e. the CRISPR-RNA (crRNA) and the target, providing a much better selectivity compared to the naked hybridization on which RT-PCR is based. Here, we combine the high efficiency of the CRISPR/Cas13a system with the transduction and amplification capabilities of an electrolyte-gated graphene field-effect transistor (EGGFET) for the detection of specific RNA sequences. In these devices, fabricated on flexible plastic substrates, the active material (reduced graphene oxide, rGO) is deposited by printing and then functionalized with Au nanoparticles decorated with polyU RNA reporter strands. In this system, the CRISPR/Cas13a complex acts as a catalyst: in the presence of a specific RNA target sequence, the enzymatic function is activated and the polyU RNA reporter strands are cleaved from the Au nanoparticles, inducing a loss of negative charges on the rGO layer. This phenomenon leads to measurable changes in the transfer curve of the transistors. These sensors were tested for the detection of a SARS-CoV-2 RNA sequence and showed a linear response in the range of 10⁻⁷ - 10² ng μL⁻¹ with an estimated limit of detection of 10 fM. This work is an important milestone in the development of the next generation of point-of-care RNA sensors.

{"title":"An electrolyte-gated transistor for the monitoring of a CRISPR/Cas activity","authors":"Pierre Guermonprez , Le Tu Anh , Louis Renaud , Pierre Nioche , Eric Krejci , Aurélie Alleaume-Butaux , Nicolas Battaglini , Vu Thi Thu , Sébastien Sanaur , Benoît Piro","doi":"10.1016/j.biosx.2025.100590","DOIUrl":"10.1016/j.biosx.2025.100590","url":null,"abstract":"<div><div>Detection of Ribonucleic acids (RNA) is a critical step in the identification of viral or bacterial infections in humans and animals. Reverse transcriptase-polymerase chain reaction (RT-PCR) remains the gold standard, but clustered regularly interspaced short palindromic repeats linked to a Cas endoribonuclease particle (CRISPR/Cas) have recently revolutionized the recognition step of two RNAs, i.e. the CRISPR-RNA (crRNA) and the target, providing a much better selectivity compared to the naked hybridization on which RT-PCR is based. Here, we combine the high efficiency of the CRISPR/Cas13a system with the transduction and amplification capabilities of an electrolyte-gated graphene field-effect transistor (EGGFET) for the detection of specific RNA sequences. In these devices, fabricated on flexible plastic substrates, the active material (reduced graphene oxide, rGO) is deposited by printing and then functionalized with Au nanoparticles decorated with polyU RNA reporter strands. In this system, the CRISPR/Cas13a complex acts as a catalyst: in the presence of a specific RNA target sequence, the enzymatic function is activated and the polyU RNA reporter strands are cleaved from the Au nanoparticles, inducing a loss of negative charges on the rGO layer. This phenomenon leads to measurable changes in the transfer curve of the transistors. These sensors were tested for the detection of a SARS-CoV-2 RNA sequence and showed a linear response in the range of 10<sup>−7</sup> - 10<sup>2</sup> ng μL<sup>−1</sup> with an estimated limit of detection of 10 fM. This work is an important milestone in the development of the next generation of point-of-care RNA sensors.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"23 ","pages":"Article 100590"},"PeriodicalIF":10.61,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SpAi: A machine-learning supported experimental workflow for high-throughput spheroid production and analysis

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-01-31 DOI: 10.1016/j.biosx.2025.100588

Nedim Hacıosmanoğlu , Murat Alp Güngen , Eylul Gulsen Yilmaz , Emre Ece , Alphan Uzun , Arda Taşcan , Burak M. Görmüş , Ismail Eş , Fatih Inci

Three-dimensional (3D) cell cultures, especially spheroids, provide a physiologically accurate model for cancer research in comparison to conventional two-dimensional (2D) cultures. Nevertheless, the difficulties in producing and analyzing spheroids have impeded their extensive use in high-throughput screening—a critical process for drug discovery. This study presents a simplified process for the effective creation and examination of spheroids using a 3D-printed mold casted polydimethylsiloxane (PDMS) microwells. The utilization of our specially constructed mold facilitated the creation of consistent spheroids, which were subsequently exposed to doxorubicin for the purpose of anticancer medication treatment. We herein improved spheroid analysis by including a convolutional neural network (CNN) model, specifically U-Net, into a graphical user interface (GUI). This integration allows for automated detection and measurement of spheroid size from microscope pictures. The performance of this system surpassed that of conventional image analysis methods in terms of both accuracy and efficiency. The implemented workflow offers a scalable and cost-efficient platform for conducting high-throughput drug screening, which has the potential to enhance the success rates of cancer therapies in clinical trials.

{"title":"SpAi: A machine-learning supported experimental workflow for high-throughput spheroid production and analysis","authors":"Nedim Hacıosmanoğlu , Murat Alp Güngen , Eylul Gulsen Yilmaz , Emre Ece , Alphan Uzun , Arda Taşcan , Burak M. Görmüş , Ismail Eş , Fatih Inci","doi":"10.1016/j.biosx.2025.100588","DOIUrl":"10.1016/j.biosx.2025.100588","url":null,"abstract":"<div><div>Three-dimensional (3D) cell cultures, especially spheroids, provide a physiologically accurate model for cancer research in comparison to conventional two-dimensional (2D) cultures. Nevertheless, the difficulties in producing and analyzing spheroids have impeded their extensive use in high-throughput screening—a critical process for drug discovery. This study presents a simplified process for the effective creation and examination of spheroids using a 3D-printed mold casted polydimethylsiloxane (PDMS) microwells. The utilization of our specially constructed mold facilitated the creation of consistent spheroids, which were subsequently exposed to doxorubicin for the purpose of anticancer medication treatment. We herein improved spheroid analysis by including a convolutional neural network (CNN) model, specifically U-Net, into a graphical user interface (GUI). This integration allows for automated detection and measurement of spheroid size from microscope pictures. The performance of this system surpassed that of conventional image analysis methods in terms of both accuracy and efficiency. The implemented workflow offers a scalable and cost-efficient platform for conducting high-throughput drug screening, which has the potential to enhance the success rates of cancer therapies in clinical trials.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"23 ","pages":"Article 100588"},"PeriodicalIF":10.61,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Revolutionizing cervical cancer diagnostics: A shift from traditional techniques to biosensors

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-01-31 DOI: 10.1016/j.biosx.2025.100587

Ubaid Mushtaq Naikoo , Roberto Pilloton , Humaira Farooqi , Jagriti Narang

Cervical cancer is the most important contributor to ailment and death among females universally, highlighting the urgent need for effective diagnostic tools. Traditional diagnostic techniques, such as Pap smears and HPV testing, though effective, suffer from limitations including invasiveness, variable sensitivity, and dependence on clinical infrastructure. This review explores the transformative potential of biosensors as a non-invasive, cost-effective, and sensitive alternative for cervical cancer diagnostics. Comprehensive analysis of current biosensor technologies, emphasizing their mechanisms, advantages, and potential to overcome the drawbacks of conventional methods. Furthermore, the review discusses recent advancements in biosensor design, including integrating nanomaterials and point-of-care systems, which enhance their diagnostic accuracy and accessibility. Key challenges in the clinical translation of biosensors are also addressed, along with potential solutions and future research directions. By highlighting the shift from traditional techniques to biosensors, this review underscores the promise of these innovative tools in improving early detection and patient outcomes in cervical cancer care.

{"title":"Revolutionizing cervical cancer diagnostics: A shift from traditional techniques to biosensors","authors":"Ubaid Mushtaq Naikoo , Roberto Pilloton , Humaira Farooqi , Jagriti Narang","doi":"10.1016/j.biosx.2025.100587","DOIUrl":"10.1016/j.biosx.2025.100587","url":null,"abstract":"<div><div>Cervical cancer is the most important contributor to ailment and death among females universally, highlighting the urgent need for effective diagnostic tools. Traditional diagnostic techniques, such as Pap smears and HPV testing, though effective, suffer from limitations including invasiveness, variable sensitivity, and dependence on clinical infrastructure. This review explores the transformative potential of biosensors as a non-invasive, cost-effective, and sensitive alternative for cervical cancer diagnostics. Comprehensive analysis of current biosensor technologies, emphasizing their mechanisms, advantages, and potential to overcome the drawbacks of conventional methods. Furthermore, the review discusses recent advancements in biosensor design, including integrating nanomaterials and point-of-care systems, which enhance their diagnostic accuracy and accessibility. Key challenges in the clinical translation of biosensors are also addressed, along with potential solutions and future research directions. By highlighting the shift from traditional techniques to biosensors, this review underscores the promise of these innovative tools in improving early detection and patient outcomes in cervical cancer care.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"23 ","pages":"Article 100587"},"PeriodicalIF":10.61,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143259670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Surface plasmon resonance biosensors for SARS-CoV-2 sensing: The role of silicon nitride and graphene

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-01-29 DOI: 10.1016/j.biosx.2025.100586

Talia Tene , Diana Coello-Fiallos , Myrian Borja , Narcisa Sánchez , Fabián Londo , Cristian Vacacela Gomez , Stefano Bellucci

We present a systematic optimization and analysis of SPR biosensors, focusing on the influence of design parameters such as silver (Ag), silicon nitride (Si₃N₄), graphene, and ssDNA layer thicknesses. Two configurations, Sys₃ and Sys₅, were developed and numerically evaluated under varying SARS-CoV-2 concentrations in PBS solution, ranging from 0.01 nM to 100 nM. Sys₃, optimized with Ag at 55 nm, Si₃N₄ at 13 nm, and ssDNA at 10 nm, demonstrated exceptional sensitivity (371.7°/RIU), low limit of detection, and high detection accuracy, making it suitable for precision applications. In contrast, Sys₅, incorporating a graphene layer (0.34 nm) alongside Ag at 50 nm, Si₃N₄ at 10 nm, and ssDNA at 10 nm, exhibited superior robustness and a higher figure of merit (2287.2 RIU⁻¹), offering consistent performance across a broader dynamic range. These results highlight the versatility of SPR biosensors in adapting to diverse diagnostic needs.

引用次数: 0

Fluorescent probes to track complex membrane blebbing

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-01-27 DOI: 10.1016/j.biosx.2025.100584

Juan L. Cortes-Muñoz , Johan-Moritz Kux , Pablo J. Sáez , Arturo Jiménez-Sánchez

Cellular blebbing, pivotal in processes such as apoptosis, cytokinesis, and migration, involves dynamic interactions between the actomyosin network and microtubules. However, existing probes inadequately capture these simultaneous interactions, limiting our ability to study blebbing mechanisms. We present AztecBleb probes (AztecBleb^DAPI, AztecBleb^GFP, AztecBleb^TxR, AztecBleb^Cy5), novel fluorescent reporters designed to selectively target and monitor blebbing in real-time. These probes incorporate a pregnenolone-based scaffold as a hydrophobic core derived from abiraterone acetate, facilitating precise localization to blebs and microtubules without disrupting cellular function. Through persistent staining of cell blebs, these photostable and biocompatible probes enable continuous monitoring of blebbing and microtubule dynamics during cellular migration. Our approach provides new insights into the coordination of bleb formation and cytoskeletal remodeling, offering a unique tool for studying motility-driven cellular behaviors.

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引用次数: 0

Enhanced glucose sensing via nanoparticles-modified extended gates: A novel approach to electric double layer modulation and signal amplification in field effect transistors for improved detection sensitivity

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-01-20 DOI: 10.1016/j.biosx.2025.100576

Sheng-Chun Hung, Yi-Hua Lee

This study presents an innovative glucose sensing platform that harnesses the enhanced electrocatalytic properties of planar electric double layer (EDL) structures in conjunction with extended gate field effect transistors (EGFETs). By integrating specific nanoparticles onto the sensor surface, this platform achieves substantial improvements in glucose detection sensitivity and overall performance. The materials employed in this research include Ni nanowires combined with graphene films, CuO nanoparticles incorporated into carbon nanostructures, and gold nanoparticles affixed to ZnO nanostructures. These nanomaterials exhibit remarkable catalytic activity, while the localized electric field effect generated by the electric double layer significantly amplifies the signal, thereby enhancing sensitivity. Experimental findings reveal notable enhancements in both sensitivity and detection limits compared to conventional glucose sensors, underscoring the potential of this platform for effective glucose monitoring. Specifically, the Ni nanowire-graphene film sensor recorded a sensitivity of 3102.7 μA mM⁻¹ cm⁻² with a detection limit of 51 nM. The CuO nanoparticle-carbon nanostructure sensor achieved a sensitivity of 2206.25 μA mM⁻¹ cm⁻² and a detection limit of 39 nM, while the gold nanoparticle-ZnO nanostructure sensor demonstrated a sensitivity of 811.8 μA mM⁻¹ cm⁻² with a detection limit of 59 nM.

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引用次数: 0

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