Biosensors and Bioelectronics

Journal: Biosensors and Bioelectronics

Abbreviation

Biosens. bioelectron.

Publisher

Elsevier

ISSN

0956-5663
1873-4235

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Publications 1 - 10 of 37

YestroSens, a field-portable S. cerevisiae biosensor device for the detection of endocrine-disrupting chemicals: Reliability and stability
Lobsiger, Nadine; Venetz, Jonathan E.; Gregorini, Michele; et al. (2019)
Biosensors and Bioelectronics
Immobilisation of DNA to polymerised SU-8 photoresist
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
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.
Integrated planar optical waveguide interferometer biosensors
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
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
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
Gao, Rongke; Ko, Juhui; Cha, Kiweon; et al. (2015)
Biosensors and Bioelectronics
Towards a REASSURED reality: A less-is-more electronic design strategy for self-powered glucose test
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.
Non-invasive glucose monitoring in patients with Type 1 diabetes: A Multisensor system combining sensors for dielectric and optical characterisation of skin
Caduff, Andreas; Talary, Mark S.; Mueller, Martin; et al. (2009)
Biosensors and Bioelectronics
Modular microstructure design to build neuronal networks of defined functional connectivity
Forró, Csaba; Thompson-Steckel, Greta; Weaver, Sean; et al. (2018)
Biosensors and Bioelectronics

Publications 1 - 10 of 37

Journal: Biosensors and Bioelectronics

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