wearable electrochemical biosensors

RESULTS & GRAPHICS/CHARTS

Cleaned textile, two styles: We tested textiles that were prepared in two

different ways different insulator coverings) in order to see which way

produced usable results. The textile with the larger surface area produced a

more linear graph with a higher R-squared value than the textile with the

smaller surface area. (show graphs and data as needed).

Ag-Pt textile: We ran sensing tests on three platinum textiles with different

amounts of silver deposited on top of it. Prior research has shown that

silver has antimicrobial properties which is a desirable trait. The results

were linear in most cases and… (add more after looking at graphs/statistics

for silver sensing)

DISCUSSION

The data we have collected from our Amperometric i-t curves indicate

encouraging results for the future development of nanometal-based textile

biosensors. We applied two coats of nail polish on the textile to see which

one had an impact on the cleaning. We found out that the textile with half

nail polish applied on it had better result because the sensing curve(R-

square) was .963, while the textile with full nail polished applied only had

.764. The closer the sensing curve is to 1, the better your model is. In

summary, the textile with less nail polish on it had more surface area

exposed, which led to better cleaning of textile electrode. This cleaning

process typically led to better H2O2 sensitivity and a more linear correlation

between current response and H2O2 concentration.

The last testing we did was with the textiles that had silver deposited on it.

We did the silver deposition because silver is anti-microbial. We were trying

to see whether time was a factor in sensing with silver. We found out that it

was because the less silver applied, the better the sensing result where. For

the textile that had one minute silver deposited on to it, the sensing curve

was .964, for the 3 minute textile, It was .902, and for the 5 minute, it was

.873. Addition of silver nanoparticles to the textile increases its

antimicrobial properties but it also weaken the electros sensitivity. In future

work, the ration of silver to platinum nanoparticle will be optimized in order

to provide both a sensitivity sensor and a sensor that does not biofoul.

ABSTRACT

For our project, we were developing a fabricated

nano-platinum sensor that will be embedment in

clothing. We did this by depositing platinum onto a

textile and using two different methods of nail polish

to see which one had the better surface area. We

also deposited Silver on to three different textiles

and tested it because silver has antimicrobial

properties. We were able to conclude that the less

silver applied on textile the better sensing. The

addition of silver adds antimicrobial but it weakness

sensitivity

The material presented here is based upon work supported by the National Science Foundation under Award No. EEC-0813570. Any opinions, findings, and conclusions or

recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Wearable Electrochemical BiosensorsFahmo Mohamed ,Ogue Addeh, Makenzie Petersen, Gabe Wright

Mentor: Jonathan Claussen Ph.D Graduate Mentors: Suprem Das, Shaowei Ding

METHODS

1) Deposit platinum nanowires on fabric. Add 54 ml of DI water to 6ml of formic acid and 300 milligrams moles of chlorplatinic acid hexa-hydrate. Measured the pH to make sure it was between 1.55 and 1.6.

2) Insert in white fabric in the yellow solution. Wait 24 hours for the solution to turn clear and the fabric to turn black.

3) Clean with nitric acid and DI water than take 50 cycles from -2.0 to -1.5v using sulfuric acid (concentrated HNO3) .

4) Apply two coats of acrylic insulator (i.e., nail polish) and tested it to see which one was better.

5) Deposit silver nanoparticles. Use .1M of KNO3with 1.0mm of AgNO3 as our solution.

6) Use three textiles, do a 1 minute, 3 minute, and 5 minute sensing on the amperometric i-t curve.

7) Start Hydrogen peroxide (H2O2) sensing on the textiles with silver deposition.

BACKGROUND

• Saliva

• Sweat

• Subcutaneous

Fluid

• Blood

RESULTS & GRAPHICS/CHARTS

ACKNOWLEDGEMENT

Thank you to Jonathan Claussen Ph.D, Shaowei Ding, Gabe Wright

Ogue Addeh, and Makenzie Petersen

Uncleaned sample

Half nail polished Full nail polished

No strong

prevalenc

e of “steps

1 minute .7V 3 minute .7V

5 minute .7V

No strong

prevalence of

“steps

H2O2 sensing Glucose sensing

Monitors heart rate and daily activity

Tracks activity exercise, food, weight and sleep

Monitor people's vital signs while they are up and about performing their normal daily activities

REFERENCES

Yixian Wang, ZunZhong Ye, Jianfeng Ping, Shunru Jing, Yibin Ying “

Development of an aptamer-based impedimetirc bioassay using microfluidic

system and magnetic separation for protein detection”

1500X 5000X 50000X

50 cycles

250

cycles

500

cycles