scholarly journals A Nontoxic Battery with 3D-Printed Housing for On-Demand Operation of Microcontrollers in Microfluidic Sensors

Micromachines ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 588 ◽  
Author(s):  
Kai Sachsenheimer ◽  
Christiane Richter ◽  
Dorothea Helmer ◽  
Frederik Kotz ◽  
Bastian Ernst Rapp
Keyword(s):  
Data Collection ◽  
Field Experiments ◽  
Point Of Care ◽  
Operation Mode ◽  
Lab On A Chip ◽  
Capacitive Sensor ◽  
Liquid Mixtures ◽  
On Demand ◽  
Care Systems ◽  
3D Printed

Microcontrollers have a low energy consumption and are convenient tools for the operation and readout of small lab-on-a-chip devices. The operation of microcontrollers for data collection and analysis is key for measurements and statistics in field experiments. However, for portable lab-on-a-chip or point-of-care systems in low-resource settings, the availability of energy sources is a bottleneck. Here, we present a simple, nontoxic aluminum/air redox battery with a 3D-printed housing for on-demand operation of a sensor using a microcontroller for data collection. The battery is stored in a dry state and can be manufactured conveniently using off-the-shelf components and a simple 3D printer. It can be quickly assembled and operates a microcontroller for at least one hour in continuous operation mode. We demonstrate its performance by collecting data from a capacitive sensor capable of determining the conductivity of liquid samples. Such sensors can be used for, e.g., determining the water quality or phase formation in liquid mixtures. The sensor performance in determining different conductivities of nonconductive and conductive liquids in droplets is demonstrated.

scholarly journals Heater Integrated Lab-on-a-Chip Device for Rapid HLA Alleles Amplification towards Prevention of Drug Hypersensitivity

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3413
Author(s):  
Shah Uddin ◽  
Abkar Sayad ◽  
Jianxiong Chan ◽  
Duc Huynh ◽  
Efstratios Skafidas ◽  
...  
Keyword(s):  
Point Of Care ◽  
Drug Hypersensitivity ◽  
Lamp Assay ◽  
Lab On A Chip ◽  
Screening Process ◽  
Device Development ◽  
Life Threatening ◽  
3D Printed ◽  
Human Genomic ◽  
On Chip

HLA-B*15:02 screening before administering carbamazepine is recommended to prevent life-threatening hypersensitivity. However, the unavailability of a point-of-care device impedes this screening process. Our research group previously developed a two-step HLA-B*15:02 detection technique utilizing loop-mediated isothermal amplification (LAMP) on the tube, which requires two-stage device development to translate into a portable platform. Here, we report a heater-integrated lab-on-a-chip device for the LAMP amplification, which can rapidly detect HLA-B alleles colorimetrically. A gold-patterned micro-sized heater was integrated into a 3D-printed chip, allowing microfluidic pumping, valving, and incubation. The performance of the chip was tested with color dye. Then LAMP assay was conducted with human genomic DNA samples of known HLA-B genotypes in the LAMP-chip parallel with the tube assay. The LAMP-on-chip results showed a complete match with the LAMP-on-tube assay, demonstrating the detection system’s concurrence.

scholarly journals 3D printed microfluidic lab-on-a-chip device for fiber-based dual beam optical manipulation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Haoran Wang ◽  
Anton Enders ◽  
John-Alexander Preuss ◽  
Janina Bahnemann ◽  
Alexander Heisterkamp ◽  
...  
Keyword(s):  
Optical Fibers ◽  
Single Cells ◽  
Lab On A Chip ◽  
Cost Effective ◽  
Optical Manipulation ◽  
Hydrodynamic Focusing ◽  
Trapping Region ◽  
Dual Beam ◽  
3D Printed ◽  
On Chip

Abstract3D printing of microfluidic lab-on-a-chip devices enables rapid prototyping of robust and complex structures. In this work, we designed and fabricated a 3D printed lab-on-a-chip device for fiber-based dual beam optical manipulation. The final 3D printed chip offers three key features, such as (1) an optimized fiber channel design for precise alignment of optical fibers, (2) an optically clear window to visualize the trapping region, and (3) a sample channel which facilitates hydrodynamic focusing of samples. A square zig–zag structure incorporated in the sample channel increases the number of particles at the trapping site and focuses the cells and particles during experiments when operating the chip at low Reynolds number. To evaluate the performance of the device for optical manipulation, we implemented on-chip, fiber-based optical trapping of different-sized microscopic particles and performed trap stiffness measurements. In addition, optical stretching of MCF-7 cells was successfully accomplished for the purpose of studying the effects of a cytochalasin metabolite, pyrichalasin H, on cell elasticity. We observed distinct changes in the deformability of single cells treated with pyrichalasin H compared to untreated cells. These results demonstrate that 3D printed microfluidic lab-on-a-chip devices offer a cost-effective and customizable platform for applications in optical manipulation.

3D Printed Smart Silk Wearable Sensors

The Analyst ◽  
2021 ◽  
Author(s):  
Tianshu Chu ◽  
Huili Wang ◽  
Yumeng Qiu ◽  
Haoxi Luo ◽  
Bingfang He ◽  
...  
Keyword(s):  
Point Of Care ◽  
Wearable Sensors ◽  
Point Of Care Testing ◽  
Biochemical Sensing ◽  
3D Printed ◽  
Physiological And Biochemical

Wearable sensors play a key role in point-of-care testing (POCT) for its flexible and integration capability on sensitive physiological and biochemical sensing. Here, we present a multifunction wearable silk patch...

scholarly journals A Smartphone Camera Colorimetric Assay of Acetylcholinesterase and Butyrylcholinesterase Activity

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1796
Author(s):  
Miroslav Pohanka ◽  
Jitka Zakova
Keyword(s):  
Limit Of Detection ◽  
Colorimetric Assay ◽  
Point Of Care ◽  
Specific Treatment ◽  
Point Of Care Testing ◽  
Analytical Instruments ◽  
Colorimetric Test ◽  
3D Printed ◽  
Butyrylcholinesterase Activity ◽  
Additional Education

Acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) can serve as biochemical markers of various pathologies like liver disfunction and poisonings by nerve agents. Ellman’s assay is the standard spectrophotometric method to measure cholinesterase activity in clinical laboratories. The authors present a new colorimetric test to assess AChE and BChE activity in biological samples using chromogenic reagents, treated 3D-printed measuring pads and a smartphone camera as a signal detector. Multiwell pads treated with reagent substrates 2,6-dichlorophenolindophenyl acetate, indoxylacetate, ethoxyresorufin and methoxyresorufin were prepared and tested for AChE and BChE. In the experiments, 3D-printed pads containing indoxylacetate as a chromogenic substrate were optimal for analytical purposes. The best results were achieved using the red (R) channel, where the limit of detection was 4.05 µkat/mL for BChE and 4.38 µkat/mL for AChE using a 40 µL sample and a 60 min assay. The major advantage of this method is its overall simplicity, as samples are applied directly without any specific treatment or added reagents. The assay was also validated to the standard Ellman’s assay using human plasma samples. In conclusion, this smartphone camera-based colorimetric assay appears to have practical applicability and to be a suitable method for point-of-care testing because it does not require specific manipulation, additional education of staff or use of sophisticated analytical instruments.

scholarly journals 3D Printed Imaging Platform for Portable Cell Counting

The Analyst ◽  
2021 ◽  
Author(s):  
Diwakar M. Awate ◽  
Cicero C. Pola ◽  
Erica Shumaker ◽  
Carmen L Gomes ◽  
Jaime Javier Juarez
Keyword(s):  
3D Printing ◽  
Point Of Care ◽  
Cost Effective ◽  
Cell Counting ◽  
Biomedical Sciences ◽  
Widespread Application ◽  
Resource Limited ◽  
Cost Effective Approach ◽  
3D Printed

Despite having widespread application in the biomedical sciences, flow cytometers have several limitations that prevent their application to point-of-care (POC) diagnostics in resource-limited environments. 3D printing provides a cost-effective approach...

Machine Learning-Assisted Sampling of SERS Substrates Improves Data Collection Efficiency

2021 ◽  
pp. 000370282110345
Author(s):  
Tatu Rojalin ◽  
Dexter Antonio ◽  
Ambarish Kulkarni ◽  
Randy P. Carney
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Domain Knowledge ◽  
Collection Efficiency ◽  
Point Of Care ◽  
Automated Analysis ◽  
Downstream Processing ◽  
Machine Learning Algorithms ◽  
Label Free ◽  
Expert User

Surface-enhanced Raman scattering (SERS) is a powerful technique for sensitive label-free analysis of chemical and biological samples. While much recent work has established sophisticated automation routines using machine learning and related artificial intelligence methods, these efforts have largely focused on downstream processing (e.g., classification tasks) of previously collected data. While fully automated analysis pipelines are desirable, current progress is limited by cumbersome and manually intensive sample preparation and data collection steps. Specifically, a typical lab-scale SERS experiment requires the user to evaluate the quality and reliability of the measurement (i.e., the spectra) as the data are being collected. This need for expert user-intuition is a major bottleneck that limits applicability of SERS-based diagnostics for point-of-care clinical applications, where trained spectroscopists are likely unavailable. While application-agnostic numerical approaches (e.g., signal-to-noise thresholding) are useful, there is an urgent need to develop algorithms that leverage expert user intuition and domain knowledge to simplify and accelerate data collection steps. To address this challenge, in this work, we introduce a machine learning-assisted method at the acquisition stage. We tested six common algorithms to measure best performance in the context of spectral quality judgment. For adoption into future automation platforms, we developed an open-source python package tailored for rapid expert user annotation to train machine learning algorithms. We expect that this new approach to use machine learning to assist in data acquisition can serve as a useful building block for point-of-care SERS diagnostic platforms.

scholarly journals Comparison of DNAzyme activity for the development of an immobilized heme sensor

MRS Advances ◽  
2018 ◽  
Vol 3 (26) ◽  
pp. 1491-1496
Author(s):  
Natalie Hughes ◽  
Nancy Nguyen ◽  
Deanna-Kaye Daley ◽  
Justin Grennell ◽  
Amira Gee ◽  
...  
Keyword(s):  
Self Assembly ◽  
Point Of Care ◽  
Label Free ◽  
Detection Range ◽  
Chemical Complexity ◽  
Detection Strategy ◽  
Detection Approach ◽  
Label Free Detection ◽  
G Quadruplex ◽  
Care Systems

ABSTRACTPoint-of-care systems require highly sensitive, quantitative and selective detection platforms for the real-time multiplexed monitoring of target analytes. To ensure facile development of a sensor, it is preferable for the detection assay to have minimal chemical complexity, contain no wash steps and provide a wide and easily adaptable detection range for multiple targets. Current studies involve label-free detection strategy for relevant clinical molecules such as heme using G-quadruplex based self-assembly. We have explored the measurement of binding and kinetic parameters of various G-quadruplex/heme complexes which are able to self-associate to form a DNAzyme with peroxidase mimicking capabilities and are critical to nucleic acid research. The detection strategy includes immobilizing the G-quadruplex sequences within a polymer matrix to provide a self-assembly based detection approach for heme that could be translated towards other clinically relevant targets.

ATR-Spin: An open-source 3D printed device for direct cytocentrifugation onto Attenuated Total Reflectance crystals.

Lab on a Chip ◽  
2021 ◽  
Author(s):  
David Perez-Guaita ◽  
Zack Richardson ◽  
G. Quintas ◽  
Julia Kuligowski ◽  
Diana Eva Bedolla ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Molecular Level ◽  
Point Of Care ◽  
Attenuated Total Reflectance ◽  
Cell Preparation ◽  
Total Reflectance ◽  
Point Of Care Diagnostics ◽  
3D Printed ◽  
Rapid Characterization

Infrared Spectroscopy (IR) enables the direct and rapid characterization of cells at the molecular level. Achieving a rapid and consistent cell preparation is critical for the development of Point-of-Care diagnostics...

PDAs as Mobile-Based Health Information Deployment Platforms for Ambulatory Care

2008 ◽  
pp. 1022-1039
Author(s):  
Jason Sargent ◽  
Carole Alcock ◽  
Lois Burgess ◽  
Joan Cooper ◽  
Damian Ryan
Keyword(s):  
Ambulatory Care ◽  
Health Information ◽  
Point Of Care ◽  
Care Service ◽  
Development Project ◽  
Personal Digital Assistants ◽  
End User ◽  
Care Systems ◽  
A Current

This chapter discusses the broad theme of clinician-centric end-user acceptance toward the adoption of personal digital assistants (PDAs) as mobile-based health information deployment platforms within ambulatory care service settings. Personal digital assistants, ambulatory care, and point of care are defined and the interrelatedness of each discussed. Issues, controversies, and problems such as mapping existing workflows, security, and change management are identified, and solutions are suggested for the process of transforming predominantly paper-based ambulatory care systems into electronic point-of-care (ePOC) systems. A current research and development project, the ePOC PDA project, is used as a case study to highlight discussion points. The purpose of this chapter is to illustrate end-user implications and considerations when introducing ePOC systems into ambulatory care service settings and highlight ways and means of improving future levels of acceptance and support of ePOC systems for clinician end users.

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