Sensing and Bio-Sensing Research最新文献

{"title":"Electrochemical breath profiling for early thoracic malignancy screening","authors":"Anirban Paul ,&nbsp;Kordel France ,&nbsp;Avi Bhatia ,&nbsp;Muhanned Abu-Hijleh ,&nbsp;Ovidiu Daescu ,&nbsp;Ruby Thapa ,&nbsp;Rhoda Annoh Gordon ,&nbsp;Shalini Prasad","doi":"10.1016/j.sbsr.2025.100815","DOIUrl":"10.1016/j.sbsr.2025.100815","url":null,"abstract":"<div><div>Lung cancer remains a leading cause of cancer death globally and affects millions of lives across the globe. Early detection of lung cancer significantly improves survival rates. Screening with low-dose CT scans for high-risk individuals can lead to earlier diagnosis and better treatment outcomes. Breathomics is the systematic analysis of volatile organic compounds (VOCs) in exhaled breath to diagnose diseases and monitor health conditions. This research presents a novel electrochemical biosensor that detects eight VOCs in breath using room temperature ionic liquid (RTIL) technology. The device was tested with 67 patient samples, including 30 with confirmed intrathoracic malignancies. Using lightweight deep neural networks optimized for edge devices, the system effectively distinguished between positive and negative cases. The results were validated using gas chromatography–mass spectrometry. As lung cancer significantly impacts public health, this work represents an important step toward developing affordable, quick, and non-invasive breath analysis for cancer screening. While further clinical validation is needed, this research aims to advance the field of breathomics.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"49 ","pages":"Article 100815"},"PeriodicalIF":5.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green-synthesized flower-shaped silver nanoparticles as a colorimetric biosensor for protein quantification in preterm breast milk","authors":"Chonlapat Panthong ,&nbsp;Chiravoot Pechyen ,&nbsp;Benchamaporn Tangnorawich ,&nbsp;Natthapon Nakpathomkun ,&nbsp;Sudathip Kositamongkol","doi":"10.1016/j.sbsr.2025.100820","DOIUrl":"10.1016/j.sbsr.2025.100820","url":null,"abstract":"<div><div>This study utilized a biosensor developed through green synthesis employing flower-shaped starch-based nanostructures for the detection of protein in breast milk. The objectives included the green synthesis of flower-shaped nanoparticles using a colorimetric sensor approach to quantify the protein levels in breast milk. Cornstarch was used as a reducing agent to synthesize silver nanoparticles (AgNPs). The nanoparticles were characterized using several analytical techniques, including UV–visible spectrophotometry (UV–vis), Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Transmission Electron Microscopy (TEM), and Raman Spectroscopy. The colorimetric detection involved observing the interactions between AgNPs and proteins under UV light stimulation at a wavelength of 280 nm. The reaction produced a visible color change, ranging from blue to purple, depending on the protein concentration. This method enabled the detection of protein levels in breast milk within the range of 3.4–21.77 g/L, demonstrating a high correlation value of 0.9847. This research highlights the potential of utilizing corn starch in green nanoparticle synthesis and emphasizes the application of AgNPs in developing sensitive biosensing platforms for breast milk protein detection.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"49 ","pages":"Article 100820"},"PeriodicalIF":5.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovative polymer-based electrochemical platform for detecting ESAT-6 in human blood for pulmonary tuberculosis diagnosis","authors":"Xiu-An Ye ,&nbsp;Shu-Hong Lin ,&nbsp;Liang-Yu Chen ,&nbsp;Jie-Ren Li ,&nbsp;Hsiang-Wei Chiu ,&nbsp;Sheng-Wei Pan ,&nbsp;Jia-Yih Feng ,&nbsp;Shyh-Chyang Luo ,&nbsp;Mei-Lin Ho","doi":"10.1016/j.sbsr.2025.100816","DOIUrl":"10.1016/j.sbsr.2025.100816","url":null,"abstract":"<div><div>Pulmonary tuberculosis (TB), caused by <em>Mycobacterium tuberculosis</em> (Mtb), necessitates early diagnosis for effective patient care. Despite advancements in TB diagnostics, there remains an urgent need to discover innovative non-sputum-based methods to detect Mtb-specific antigens for TB patient identification. We have developed a polymer-based electrochemical biosensor for detecting an Mtb-specific antigen, the 6-kDa early secreted antigenic target (ESAT-6), in blood. Using a gold electrode (Au), the biosensor is created by electropolymerizing poly(3,4-ethylene dioxythiophene) with carboxyl groups (PEDOT-COOH), which is activated with 3-ethylcarbodiimide hydrochloride and N-hydroxysuccinimide (EDC-NHS), conjugated with an ESAT-6 polyclonal antibody (Ab), treated with bovine serum albumin (BSA) to block non-specific binding, forming BSA/Ab-EDC-NHS/PEDOT-COOH/Au. Using differential pulse voltammetry measurements, the electrode demonstrated an excellent linear response (<em>R</em>^<em>2</em> = 0.99) for ESAT-6 detection across a concentration range of 24.2 pM (0.81 ng/mL) to 50 nM (1.69 μg/mL), with a low detection limit of 1.39 pM (0.047 ng/mL) and a rapid detection time of under 4 min. This biosensor for ESAT-6 detection effectively distinguished pulmonary TB patients from healthy individuals, achieving 95.0 % sensitivity and 100 % specificity at a cut-off value of 97.0 ng/mL. It demonstrated a diagnostic accuracy of 97.1 %, outperforming the 82.9 % achieved by a commercial ELISA kit. Moreover, biosensor-detected ESAT-6 levels were significantly higher in smear-positive TB patients compared to the smear-negative group (<em>p</em> = 0.014), whereas ELISA-based detection showed no significant difference (<em>p</em> = 0.197). In conclusion, the PEDOT-COOH biosensor enables rapid and effective detection of plasma ESAT-6, facilitates TB diagnosis, and correlates with Mtb bacterial burden, highlighting its potential for disease monitoring.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"49 ","pages":"Article 100816"},"PeriodicalIF":5.4,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144254593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prototyping an internet-of-things-based bioacoustics system to support research and surveillance of avian-associated infectious diseases","authors":"Marina Treskova ,&nbsp;Hammad Aamer ,&nbsp;Harald Mack ,&nbsp;Magnus Wahlberg ,&nbsp;Omid Airom ,&nbsp;Senani Dayabandara ,&nbsp;Claudia M. Denkinger ,&nbsp;Eric Diener ,&nbsp;Peter Fransson ,&nbsp;Julian Heidecke ,&nbsp;Inga Ulusoy ,&nbsp;Joacim Rocklöv","doi":"10.1016/j.sbsr.2025.100817","DOIUrl":"10.1016/j.sbsr.2025.100817","url":null,"abstract":"<div><div>Zoonotic infectious diseases and cross-species pathogen spillover are driven by biodiversity and spatio-temporal ecological interactions. Generating high-resolution data to approximate the presence and absence of animals and their mobility, density, and interactions can enhance research efforts and improve public and veterinary health prediction capacities. Bioacoustics technology provides solutions for tracking vocalizing animals in space and time, contributing to infectious disease ecology research. We report on our adaptation and testing of a bioacoustics Internet-of-Things system for passive spatio-temporal monitoring of avian species, situating its application within the context of zoonoses. We tested alternatives for the physical sensor device, microphones, and battery and chose Raspberry Pi Zero 2 W as our base computer. We further embedded and configured machine learning (ML) classification algorithms building on the BirdNET-Pi for avian classification. We developed a software, that supports TensorFlow-based classification algorithms and facilitates easy and open uploads of alternative ML algorithms for non-avian taxa (<em>faunanet</em>) for future applications of the prototype for multi-species bioacoustics monitoring. We evaluated the performance of the physical system and validated its classification accuracy within the premises of a zoo. Across four field tests, we collected 700 h of audio data on avian vocalizations and identified 57 distinct species. The performance of the prototype depends on the parametrization of the classification algorithms and the positioning of the physical sensor. Overall, the developed prototype demonstrated that the system can be further piloted for studies on zoonotic infectious diseases.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"49 ","pages":"Article 100817"},"PeriodicalIF":5.4,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144264090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultra-sensitive terahertz photonic crystal fiber sensor for detection of tuberculosis","authors":"Md. Safiul Islam ,&nbsp;A.H.M. Iftekharul Ferdous ,&nbsp;Abdullah Al Mamun ,&nbsp;Md. Shamim Anower ,&nbsp;Md. Jakir Hossen ,&nbsp;Syed Udoy Ahmed","doi":"10.1016/j.sbsr.2025.100814","DOIUrl":"10.1016/j.sbsr.2025.100814","url":null,"abstract":"<div><div>Tuberculosis (TB), a contagious disease spread through bacteria <em>Mycobacterium tuberculosis</em>, be possibly most leading contagious and deadly illnesses globally. Tuberculosis exhibited the highest mortality rate among all single infections, surpassing that of HIV/AIDS. Timely identification is a crucial element in the management of patients and possesses the capability to boost the likelihood of enduring. Detecting systems should possess exceptional mobility, accuracy, rapid detection capabilities, and minimal losses. This study introduces an innovative biomedical PCF sensor that can precisely identify and differentiate several strains of tuberculosis bacteria. The sensor relies on the sensitivity of terahertz radiation and advanced PCF design to overcome the limitations of existing diagnostic techniques. The sensor specifically targets the distinct difficulties associated with tuberculosis detection, a significant worldwide health issue. The sensor that has been designed exhibits a high relative sensitivity (ranging from 99.72 % to 99.95 %) and minimal losses when compared to previous detectors incorporating PCF. The sensor being considered demonstrates a CL of 5.17 × 10⁻⁰³ cm⁻¹, an impressively minimal EML of 0.0010 cm⁻¹, and NA of 0.217. This sensing unit under consideration can function within the terahertz frequency range. Consequently, it serves as a valuable resource for healthcare providers, enhancing their diagnostic capabilities for prompt treatment and improved patient outcomes. Additionally, its compact size enables its use in time-sensitive scenarios.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"48 ","pages":"Article 100814"},"PeriodicalIF":5.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Point-of-care colorimetric glucose biosensor using Cu-MOF@N-doped graphite nanoparticles with enhanced peroxidase-like activity","authors":"Shymaa S. Soliman ,&nbsp;Mona A. Abdel Rahman ,&nbsp;Amr M. Mahmoud ,&nbsp;Norhan Badr ElDin ,&nbsp;Dina A. El Mously","doi":"10.1016/j.sbsr.2025.100812","DOIUrl":"10.1016/j.sbsr.2025.100812","url":null,"abstract":"<div><div>The metal-organic frameworks (MOFs) have many appealing characteristics as biomimetic enzymes for colorimetric glucose detection, such as their large surface areas, distinct pore structures, chemical composition that can be adjusted, and multifunctional sites. In the current study, a Cu-MOF@N-dGr with peroxidase-mimicking activity was synthesized to design a colorimetric assay for glucose detection. The Cu-MOF@N-dGr was prepared in a two-step process, firstly, nitrogen-doped graphite was synthesized using soft-nitriding and secondly, a solvothermal method was adopted to anchor Cu-MOF on the N-dGr surface. It was possible to detect both H₂O₂ and glucose with an effective linear range of 0.08 mM to 1.12 mM and 0.16 mM to 0.83 mM, respectively. Various techniques were utilized to analyze the synthesized N-doped graphite Cu-MOF's structure including scanning electron microscope (SEM), Energy-dispersive X-ray spectroscopy (EDX), Brunauer–Emmett–Teller (BET) and x-ray photoelectron spectroscopy (XPS). This recently developed Cu-MOF@N-dGr offers an easy-to-use, sensitive, and selective colorimetric analysis method for measuring glucose and determining hydrogen peroxide for point-of-care applications.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"48 ","pages":"Article 100812"},"PeriodicalIF":5.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144222518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Square-shaped SPR-PCF for prostate cancer detection: A new dimension in bio-sensing","authors":"Md Sanowar Hosen ,&nbsp;Md Rezaul Hoque Khan ,&nbsp;Mohammad Rakibul Islam ,&nbsp;Nafiz Imtiaz Bin Hamid ,&nbsp;Atiqul Alam Chowdhury ,&nbsp;Md. Dara Abdus Satter ,&nbsp;Md. Rezwanul Ahsan ,&nbsp;Mhamud Hasan Mim ,&nbsp;Naimur Rahman ,&nbsp;Sidrat Muntaha Nur Pranto","doi":"10.1016/j.sbsr.2025.100802","DOIUrl":"10.1016/j.sbsr.2025.100802","url":null,"abstract":"&lt;div&gt;&lt;div&gt;This study presents a novel Surface Plasmon Resonance based Photonic Crystal Fiber (SPR-PCF) designed to differentiate between prostate cancerous and non-cancerous epithelial cells by utilizing variations in refractive index (RI). Currently, prostate-specific antigen (PSA) biomarkers are the primary method used in clinics for prostate cancer screening. However, due to the low specificity and high false-positive rates of PSA tests, a more accurate detection method is urgently needed. SPR-based PCF sensors, known for their high sensitivity, excel in detecting even slight refractive index changes in the surrounding media, offering a more effective and rapid solution for early cancer detection. Additionally, these sensors are highly sensitive, portable, and user-friendly, making them practical for clinical use. During the experiment, a number of the PCF’s parameters were changed, which resulted in an incredibly high amplitude sensitivity(AS) of 159.06 RIU&lt;sup&gt;−1&lt;/sup&gt;, 149.07 RIU&lt;sup&gt;−1&lt;/sup&gt;, 133.89 RIU&lt;sup&gt;−1&lt;/sup&gt;, 132.72 RIU&lt;sup&gt;−1&lt;/sup&gt; for BPH-1 or 22RV1, DU-145, PC-3 and LNCaP cells respectively. Corresponding Wavelength Sensitivity (WS) values for the same cell types were observed as 5000 nm/RIU, 2222.22 nm/RIU, 2380.95 nm/RIU and 2272.73 nm/RIU. The achieved resolutions for wavelength sensitivity are &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;00&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mo&gt;×&lt;/mo&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;−&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; RIU, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;50&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mo&gt;×&lt;/mo&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;−&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; RIU, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;20&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mo&gt;×&lt;/mo&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;−&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; RIU, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;40&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mo&gt;×&lt;/mo&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;−&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; RIU, and resolutions for the amplitude sensitivity are &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;26&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mo&gt;×&lt;/mo&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;−&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; RIU, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;04&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mo&gt;×&lt;/mo&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;−&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; RIU, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;57&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mo&gt;×&lt;/mo&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;−&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; RIU, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;66&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mo&gt;×&lt;/mo&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;−&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; RIU for the respective cel","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"48 ","pages":"Article 100802"},"PeriodicalIF":5.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144189476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An effective electrochemical sensor for monitoring tamoxifen as breast cancer medicine in biological samples using polypyrrole-based molecularly imprinted polymers and CNTs hybrid structure","authors":"Junwei Chen ,&nbsp;Zhaoyu Chen ,&nbsp;Yucheng Zheng ,&nbsp;Wenying Chen ,&nbsp;Qingjun Zhu ,&nbsp;Peng Sun ,&nbsp;Yao Chen","doi":"10.1016/j.sbsr.2025.100818","DOIUrl":"10.1016/j.sbsr.2025.100818","url":null,"abstract":"<div><div>This work was conducted on the development and characterization of a novel electrochemical sensor using polypyrrole-based molecularly imprinted polymer and CNTs hybrid-modified glassy carbon electrode (MIP/CNTs/GCE) for the determination of tamoxifen (TMX), a widely used breast cancer medicine, in biological samples. Characterization of the synthesized nanostructures using structural and morphological analyses confirmed the successful use of the MIP/CNTs hybrid and provided insights into the scaffolds' chemical and structural characteristics. Electrochemical analyses showed the enhanced performance of the MIP/CNTs/GCE sensor, which displayed a linear response range of 1 to 420 μM, sensitivity of 0.72337 μA/μM, and a detection limit of 0.01 μM for TMX. Reproducibility investigation exhibited an RSD of 2.96 %, and storage stability studies demonstrated that the electrochemical sensor retained 96.82 % of its initial response after 40 days. Moreover, the MIP sensor showed great selectivity for TMX in the presence of potential interferents and received recovery rates of 98.20 % to 99.10 % in human serum specimens. The findings show that the designed MIP/CNTs/GCE sensor can monitor TMX in complicated biological matrices in a reliable and effective manner.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"48 ","pages":"Article 100818"},"PeriodicalIF":5.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fabrication of folic acid immobilized graphene oxide-silica (FA@GO-SiO2) for the electrochemical detection of circulating tumor cells","authors":"Sabeen Iqbal,&nbsp;Saman Kainat,&nbsp;Fahmida Jabeen,&nbsp;Muhammad Salman Sajid,&nbsp;Saadat Majeed,&nbsp;Muhammad Najam-ul-Haq","doi":"10.1016/j.sbsr.2025.100807","DOIUrl":"10.1016/j.sbsr.2025.100807","url":null,"abstract":"<div><div>Circulating tumor cells (CTCs) shed from primary tumors, enter bloodstream, and can be enriched from millions of blood cells as valuable biomarkers due to the overexpression of surface receptors. However, their enrichment is challenging because of millions of white blood cells (WBCs) compared to their low abundance in blood i.e., 1–10 CTCs per mL. Herein, graphene oxide (GO) - silica (SiO₂) nanocomposite functionalized with folic acid (FA@GO-SiO₂) is developed for the selective and sensitive detection of CTCs from blood. The synthesized material is characterized by SEM, FTIR, and XRD. A549 (lung cancer) cells are applied as the model target and detected by cyclic voltammetry (CV) using FA@GO-SiO₂ coated glassy carbon electrode (GCE). A calibration curve with R² = 0.9851 is obtained for 50–50,000 cells/mL with LOD of 1 cell/mL. Electrochemical analysis of CTCs by fabricated biosensor can offer early cancer diagnosis from blood samples without complicated pretreatment steps.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"48 ","pages":"Article 100807"},"PeriodicalIF":5.4,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144137688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A small library crRNA-enhanced CRISPR-Cas12a system for ultrasensitive point-of-care test of hantavirus M gene","authors":"Jian Zhou,&nbsp;Xue-mei Ren,&nbsp;Xin Wang,&nbsp;Pu Xu,&nbsp;Zhuo Li","doi":"10.1016/j.sbsr.2025.100811","DOIUrl":"10.1016/j.sbsr.2025.100811","url":null,"abstract":"<div><div>The integration of CRISPR-Cas systems with isothermal nucleic acid amplification (INA) holds transformative potential for point-of-care diagnostics, yet technical challenges such as limited sensitivity, cross-contamination risks, and incompatibility between amplification and detection phases hinder their clinical adoption. Here, we present a novel small library CRISPR/Cas12a crRNA (SLCC) platform for ultrasensitive detection of the hantavirus M gene, a conserved target critical for diagnosing hemorrhagic fever with renal syndrome (HFRS). The SLCC platform incorporates three key innovations: machine learning-guided crRNA design to target highly conserved viral regions; multi-crRNA collaborative signal amplification to enhance Cas12a's collateral cleavage activity, and a single-tube workflow integrating reverse transcription, recombinase polymerase amplification (RT-RPA), and CRISPR detection. Experimental validation demonstrated that the combinatorial six-crRNA strategy achieved an 85-fold improvement in sensitivity over single-crRNA systems (limit of detection (LoD): 0.086 pM vs. 7.31 pM for DNA of amplification). The optimized one-step RT-RPA/CRISPR-Cas12a workflow reduced assay time, while maintaining high specificity, as evidenced by concordant results with clinical samples and negligible cross-reactivity against SARS-CoV-2, HBV, and <em>mycoplasma pneumoniae</em>. Notably, the platform achieved a 42.29-fold lower LoD for RNA detection compared to single-crRNA CRISPR-Cas system, with fluorescence signal amplification plateauing within 45 min. The SLCCA platform integration of RNA reverse transcription amplification and Cas12a enzymatic cleavage within a single-tube workflow, combined with lateral flow strip-based signal readout, which achieves a sensitivity of 500 pM for RNA detection, demonstrating a 10–20-fold enhancement in the LoD compared to single-crRNA systems CRISPR-Cas diagnostic approaches. The advancements in the small library crRNA strategy address critical barriers in CRISPR-based diagnostics by offering a convenient and field-deployable solution for rapid, highly sensitive pathogen detection in resource-limited settings. This study establishes SLCC as a versatile framework that can adapt to emerging infectious disease surveillance and point-of-care applications.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"48 ","pages":"Article 100811"},"PeriodicalIF":5.4,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144131130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}