Test strips based on iron(iii)-impregnated alginate/polyacrylonitrile nanofibers for naked eye screening of tetracycline

The Analyst ◽  
2018 ◽  
Vol 143 (13) ◽  
pp. 3029-3039 ◽  
Author(s):  
Yan Li ◽  
Abedalwafa Mohammed ◽  
De Li ◽  
Lu Wang
Keyword(s):  
Test Strip ◽  
Test Strips ◽  
Naked Eye ◽  
Eye Screening

A test strip for tetracycline screening was prepared using seaweed derivative alginate wrapped with polyacrylonitrile nanofibers.

A cucurbit[6]uril-based supramolecular assembly test strip for immediate detection of nitrofuran antibiotics in water

CrystEngComm ◽  
2020 ◽  
Vol 22 (44) ◽  
pp. 7660-7667
Author(s):  
Lulu Shi ◽  
Mei Liu ◽  
Cao Fang ◽  
Xiaofei Zhu ◽  
Hui Li
Keyword(s):  
Supramolecular Assembly ◽  
Test Strip ◽  
Test Strips ◽  
Naked Eye ◽  
Nitrofuran Antibiotics

A CB[6]-based supramolecular assembly has been designed and prepared into test strips, which can detect nitrofuran antibiotics by the naked eye.

A terpyridine-based test strip for the detection of Hg2+ in various water samples and drinks

2019 ◽  
Vol 11 (2) ◽  
pp. 227-231 ◽  
Author(s):  
Junjun Wang ◽  
Qingpeng Rao ◽  
Haiyan Wang ◽  
Qiong Zhang ◽  
Gang Liu ◽  
...  
Keyword(s):  
Water Samples ◽  
Tap Water ◽  
Test Strip ◽  
Eye Detection ◽  
Fluorescent Compound ◽  
Test Strips ◽  
Naked Eye ◽  
Naked Eye Detection

TPI, a novel colorimetric fluorescent compound prepared for test strips, can be used for naked-eye detection of Hg2+ in tap water samples and drinks conveniently.

scholarly journals The Influence of Blood Glucose Meter Resistance Variation on the Performance of a Biosensor with a Gold-Coated Circuit Board

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Kun-Yong Kim ◽  
Ho Chang ◽  
Win-Der Lee ◽  
Yi-Fan Cai ◽  
You-Jia Chen
Keyword(s):  
Blood Glucose ◽  
Glucose Oxidase ◽  
Economies Of Scale ◽  
Electrochemical Reaction ◽  
Test Strip ◽  
Circuit Board ◽  
Potential Range ◽  
Test Strips ◽  
Glucose Meter ◽  
Blood Glucose Meter

In this study, a novel gold-coated test strip for blood glucose measurement has been designed. Such gold-coated test strip is feasible for mass production to achieve economies of scale. Cyclic voltammetry was applied to test strips to undergo electrochemical reaction under a potential range of ±0.4 V. Glucose oxidase (GOD) was added into K3[Fe(CN)6]. When glucose oxidase undergoes electrochemical reaction, the medium, K3[Fe(CN)6], will act as an electron acceptor, causing the electrodes on the test strip to generate a pair of clear anodic and reductive peaks. The maximum of the anodic and reductive peaks can be used as reference to adjust the resistance of the blood glucose meter. The experimental results show that by adjusting the resistance of the blood glucose meter, the accuracy of blood glucose meter reading can be tuned and blood glucose reading can be stabilized. Therefore, when the resistance of the blood glucose meter is at 2.4 KΩ, the standard deviation (STD) and coefficient of variation (CV) of the test strip are lower than those of the test strips measured at resistances of 2.2 KΩ and 2.6 KΩ. It has been proved in this study that adjusting the resistance of the blood glucose meter can optimize the chemical reaction on gold-coated test strips as well as its reading. This method can also be applied to tune the accuracy of readings for test strips coated with other materials.

scholarly journals SK-FMYOLOV3: A Novel Detection Method for Urine Test Strips

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Rui Yang ◽  
Yonglin Zhang ◽  
Zhenrong Deng ◽  
Wenming Huang ◽  
Rushi Lan ◽  
...  
Keyword(s):  
Clustering Algorithm ◽  
Test Strip ◽  
Recall Rate ◽  
Detection Algorithm ◽  
Urine Test ◽  
Feature Maps ◽  
Test Strips ◽  
Fuzzy C Means Clustering ◽  
Convolution Kernels ◽  
Clustering Center

To accurately detect small defects in urine test strips, the SK-FMYOLOV3 defect detection algorithm is proposed. First, the prediction box clustering algorithm of YOLOV3 is improved. The fuzzy C-means clustering algorithm is used to generate the initial clustering centers, and then, the clustering center is passed to the K-means algorithm to cluster the prediction boxes. To better detect smaller defects, the YOLOV3 feature map fusion is increased from the original three-scale prediction to a four-scale prediction. At the same time, 23 convolutional layers of size 3 × 3 in the YOLOV3 network are replaced with SkNet structures, so that different feature maps can independently select different convolution kernels for training, improving the accuracy of defect classification. We collected and enhanced urine test strip images in industrial production and labeled the small defects in the images. A total of 11634 image sets were used for training and testing. The experimental results show that the algorithm can obtain an anchor frame with an average cross ratio of 86.57, while the accuracy rate and recall rate of nonconforming products are 96.8 and 94.5, respectively. The algorithm can also accurately identify the category of defects in nonconforming products.

scholarly journals A randomized clinical trial of a theory-based fentanyl overdose education and fentanyl test strip distribution intervention to reduce rates of opioid overdose: study protocol for a randomized controlled trial

Trials ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Brendan P. Jacka ◽  
Jacqueline E. Goldman ◽  
Jesse L. Yedinak ◽  
Edward Bernstein ◽  
Scott E. Hadland ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Behavior Change ◽  
Randomized Clinical Trial ◽  
Study Protocol ◽  
Test Strip ◽  
Health Concern ◽  
Secondary Outcome ◽  
Opioid Overdose ◽  
Test Strips

Abstract Background Opioid overdose deaths involving synthetic opioids, particularly illicitly manufactured fentanyl, remain a substantial public health concern in North America. Responses to overdose events (e.g., administration of naloxone and rescue breathing) are effective at reducing mortality; however, more interventions are needed to prevent overdoses involving illicitly manufactured fentanyl. This study protocol aims to evaluate the effectiveness of a behavior change intervention that incorporates individual counseling, practical training in fentanyl test strip use, and distribution of fentanyl test strips for take-home use among people who use drugs. Methods Residents of Rhode Island aged 18–65 years who report recent substance use (including prescription pills obtained from the street; heroin, powder cocaine, crack cocaine, methamphetamine; or any drug by injection) (n = 500) will be recruited through advertisements and targeted street-based outreach into a two-arm randomized clinical trial with 12 months of post-randomization follow-up. Eligible participants will be randomized (1:1) to receive either the RAPIDS intervention (i.e., fentanyl-specific overdose education, behavior change motivational interviewing (MI) sessions focused on using fentanyl test strips to reduce overdose risk, fentanyl test strip training, and distribution of fentanyl test strips for personal use) or standard overdose education as control. Participants will attend MI booster sessions (intervention) or attention-matched control sessions at 1, 2, and 3 months post-randomization. All participants will be offered naloxone at enrolment. The primary outcome is a composite measure of self-reported overdose in the previous month at 6- and/or 12-month follow-up visit. Secondary outcome measures include administratively linked data regarding fatal (post-mortem investigation) and non-fatal (hospitalization or emergency medical service utilization) overdoses. Discussion If the RAPIDS intervention is found to be effective, its brief MI and fentanyl test strip training components could be easily incorporated into existing community-based overdose prevention programming to help reduce the rates of fentanyl-related opioid overdose. Trial registration ClinicalTrials.gov NCT04372238. Registered on 01 May 2020

A novel phenylacetylene-indolium fluorophore for detection of cyanide by the naked eye

RSC Advances ◽  
2015 ◽  
Vol 5 (79) ◽  
pp. 64763-64768 ◽  
Author(s):  
Nakorn Niamnont ◽  
Apiwat Promchat ◽  
Chutima Siangma ◽  
Chuenjai Pramaulpornsatit ◽  
Mongkol Sukwattanasinitt
Keyword(s):  
Detection Limit ◽  
Aqueous Media ◽  
Test Strips ◽  
Naked Eye ◽  
Test Kit

The compound 2 mixed α-cyclodextrin exhibits the highest CN− recognition sensitivity in aqueous media with the detection limit of 1.3 μM. Test strips based on compound 2 can act as a convenient and efficient CN− test kit.

Highly selective fluorogenic anion chemosensors: naked-eye detection of F− and AcO− ions in natural water using a test strip

2013 ◽  
Vol 5 (22) ◽  
pp. 6401 ◽  
Author(s):  
Moorthy Saravana Kumar ◽  
Saravana Loganathan Ashok Kumar ◽  
Anandram Sreekanth
Keyword(s):  
Natural Water ◽  
Test Strip ◽  
Eye Detection ◽  
Naked Eye ◽  
Naked Eye Detection

False negative hyperglucosuria test-strip reactions in laboratory mice

1982 ◽  
Vol 16 (2) ◽  
pp. 192-197 ◽  
Author(s):  
D. M. Taylor ◽  
D. L. Neal
Keyword(s):  
Ascorbic Acid ◽  
False Negative ◽  
Test Strip ◽  
Mouse Strains ◽  
Laboratory Mice ◽  
Commercial Test ◽  
Test Strips ◽  
Optimum Detection ◽  
Positive Results

Inhibition of a variety of commercial test strips for hyperglucosuria was experienced in laboratory mice. All mouse strains tested were found to have sufficiently high levels of ascorbic acid to cause inhibition, and male levels were higher than those of females. A regime to obtain optimum detection of positive results is discussed.

Effect of pH Test-Strip Characteristics on Accuracy of Readings

2017 ◽  
Vol 37 (3) ◽  
pp. 50-58 ◽  
Author(s):  
Norma A. Metheny ◽  
Emily M. Gunn ◽  
Cynthia S. Rubbelke ◽  
Terrilynn Fox Quillen ◽  
Uthayashanker R. Ezekiel ◽  
...  
Keyword(s):  
Nursing Students ◽  
Random Order ◽  
Test Strip ◽  
Testing Procedure ◽  
Buffer Solution ◽  
Convenience Sample ◽  
Test Strips ◽  
Ph Values ◽  
Upper Level ◽  
Ph Buffer

BACKGROUND Little is known about characteristics of colorimetric pH test strips that are most likely to be associated with accurate interpretations in clinical situations. OBJECTIVES To compare the accuracy of 4 pH test strips with varying characteristics (ie, multiple vs single colorimetric squares per calibration, and differing calibration units [1.0 vs 0.5]). METHODS A convenience sample of 100 upper-level nursing students with normal color vision was recruited to evaluate the accuracy of the test strips. Six buffer solutions (pH range, 3.0 to 6.0) were used during the testing procedure. Each of the 100 participants performed 20 pH tests in random order, providing a total of 2000 readings. The sensitivity and specificity of each test strip was computed. In addition, the degree to which the test strips under- or overestimated the pH values was analyzed using descriptive statistics. RESULTS Our criterion for correct readings was an exact match with the pH buffer solution being evaluated. Although none of the test strips evaluated in our study was 100% accurate at all of the measured pH values, those with multiple squares per pH calibration were clearly superior overall to those with a single test square. CONCLUSIONS Test strips with multiple squares per calibration were associated with greater overall accuracy than test strips with a single square per calibration. However, because variable degrees of error were observed in all of the test strips, use of a pH meter is recommended when precise readings are crucial.

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