Journal: Biosensors and Bioelectronics

Abbreviation

Biosens. bioelectron.

Publisher

Elsevier

Journal Volumes

ISSN

0956-5663
1873-4235

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Publications 1 - 10 of 36
  • YestroSens, a field-portable S. cerevisiae biosensor device for the detection of endocrine-disrupting chemicals: Reliability and stability
    Item type: Journal Article
    Lobsiger, Nadine; Venetz, Jonathan E.; Gregorini, Michele; et al. (2019)
    Biosensors and Bioelectronics
  • Immobilisation of DNA to polymerised SU-8 photoresist
    Item type: Journal Article
    Marie, Rodolphe; Schmid, Silvan; Johansson, Alicia; et al. (2006)
    Biosensors and Bioelectronics
  • DropCRISPR: A LAMP-Cas12a based digital method for ultrasensitive detection of nucleic acid
    Item type: Journal Article
    Wu, Hui; Cao, Xiaobao; Meng, Yingchao; et al. (2022)
    Biosensors and Bioelectronics
    Since their discovery, CRISPR/Cas systems have been extensively exploited in nucleic acid biosensing. However, the vast majority of contemporary platforms offer only qualitative detection of nucleic acid, and fail to realize ultrasensitive quantitative detection. Herein, we report a digital droplet-based platform (DropCRISPR), which combines loop-mediated isothermal amplification (LAMP) with CRISPR/Cas12a to realize ultrasensitive and quantitative detection of nucleic acids. This is achieved through a novel two-step microfluidic system which combines droplet LAMP with a picoinjector capable of injecting the required CRISPR/Cas12a reagents into each droplet. This method circumvents the temperature incompatibilities of LAMP and CRISPR/Cas12a and avoids mutual interference between amplification reaction and CRISPR detection. Ultrasensitive detection (at fM level) was achieved for a model plasmid containing the invA gene of Salmonella typhimurium (St), with detection down to 102 cfu/mL being achieved in pure bacterial culture. Additionally, we demonstrate that the DropCRISPR platform is capable of detecting St in raw milk samples without additional nucleic acid extraction. The sensitivity and robustness of the DropCRISPR further demonstrates the potential of CRISPR/Cas-based diagnostic platforms, particularly when combined with state-of-the-art microfluidic architectures.
  • The application of polythiol molecules for protein immobilisation on sensor surfaces
    Item type: Journal Article
    Kyprianou, Dimitris; Guerreiro, Antonio R.; Nirschl, Martin; et al. (2010)
    Biosensors and Bioelectronics
  • Integrated planar optical waveguide interferometer biosensors
    Item type: Journal Article
    Kozma, P.; Kehl, F.; Ehrentreich-Forster, E.; et al. (2014)
    Biosensors and Bioelectronics
  • Microfluidic platform for single cell analysis under dynamic spatial and temporal stimulation
    Item type: Journal Article
    Song, Jiyoung; Ryu, Hyunryul; Chung, Minhwan; et al. (2018)
    Biosensors and Bioelectronics
  • Biofuel cell operating on activated THP-1 cells: A fuel and substrate study
    Item type: Journal Article
    Javor, Kristina; Tisserant, Jean-Nicolas; Stemmer, Andreas (2017)
    Biosensors and Bioelectronics
  • Fast and sensitive detection of an anthrax biomarker using SERS-based solenoid microfluidic sensor
    Item type: Journal Article
    Gao, Rongke; Ko, Juhui; Cha, Kiweon; et al. (2015)
    Biosensors and Bioelectronics
  • Machine learning and statistical classification in CRISPR-Cas12a diagnostic assays
    Item type: Journal Article
    Khosla, Nathan; Lesinski, Jake M.; Haywood-Alexander, Marcus; et al. (2025)
    Biosensors and Bioelectronics
    CRISPR-based diagnostics have gained increasing attention as biosensing tools able to address limitations in contemporary molecular diagnostic tests. To maximize the performance of CRISPR-based assays, much effort has focused on optimizing the chemistry and biology of the biosensing reaction. However, less attention has been paid to improving the techniques used to analyze CRISPR-based diagnostic data. To date, diagnostic decisions typically involve various forms of slope-based classification. Such methods are superior to traditional methods based on assessing absolute signals, but still have limitations. Herein, we establish performance benchmarks (total accuracy, sensitivity, and specificity) using common slope-based methods. We compare the performance of these benchmark methods with three different quadratic empirical distribution function statistical tests, finding significant improvements in diagnostic speed and accuracy when applied to a clinical data set. Two of the three statistical techniques, the Kolmogorov-Smirnov and Anderson-Darling tests, report the lowest time-to-result and highest total test accuracy. Furthermore, we developed a long short-term memory recurrent neural network to classify CRISPR-biosensing data, achieving 100 % specificity on our model data set. Finally, we provide guidelines on choosing the classification method and classification method parameters that best suit a diagnostic assay's needs.
  • Towards a REASSURED reality: A less-is-more electronic design strategy for self-powered glucose test
    Item type: Journal Article
    Sailapu, Sunil Kumar; Liébana, Susana; Merino-Jimenez, Irene; et al. (2024)
    Biosensors and Bioelectronics
    Sensing strategies adopting minimal electronic systems help in realizing REASSURED diagnostic tests. However, the challenge in developing such strategies escalates with demand in power and electronics during pursuit of reliable and accurate sensing. Herein, we present an electronic design strategy using a smart strip, operating with power generated from 3.5 μL of serum sample, to reveal glucose concentration through a response preserved in a capacitor. Further, by integrating an NFC tag alongside the strip, we devised a self-powered glucose measuring card, mobile-glucocard (or mGlucocard) for retrieving this stored digital response using smartphone, enabling ‘connected mobile-health diagnostics’. The response from our device relates linearly to glucose concentration offering a sensitivity of 11.3 mV/mM and good correlation (R = 0.974) with colorimetric reference method. Interestingly, the design strategy uses only four components – two resistors, diode, and capacitor - of simple architecture likely transferable to printed technologies to deliver advanced self-powered sustainable devices.
Publications 1 - 10 of 36