| Title |
Sensitive paper-based analytical device for fast colorimetric detection of nitrite with smartphone
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, March 2018
|
| DOI | 10.1007/s00216-018-0965-2 |
| Pubmed ID | |
| Authors |
Xiu-Xiu Zhang, Yi-Zhen Song, Fang Fang, Zhi-Yong Wu |
| Abstract |
On-site rapid monitoring of nitrite as an assessment indicator of the environment, food, and physiological systems has drawn extensive attention. Here, electrokinetic stacking (ES) was combined with colorimetric reaction on a paper-based device (PAD) to achieve colorless nitrite detection with smartphone. In this paper, nitrite was stacked on the paper fluidic channel as a narrow band by electrokinetic stacking. Then, Griess reagent was introduced to visualize the stacking band. Under optimal conditions, the sensitivity of nitrite was 160-fold increased within 5 min. A linear response in the range of 0.075 to 1.0 μg mL-1 (R2 = 0.99) and a limit of detection (LOD) of 73 ng mL-1 (0.86 μM) were obtained. The LOD was 10 times lower than the reported PAD, and close to that achieved by a desktop spectrophotometer. The applicability was demonstrated by nitrite detection from saliva and water with good selectivity, adding 100 times more concentrated co-ions. High recovery (91.0~108.7%) and reasonable intra-day and inter-day reproducibility (RSD < 9%) were obtained. This work shows that the sensitivity of colorless analyte detection-based colorimetric reaction can be effectively enhanced by integration of ES on a PAD. Graphical abstract Schematic of the experimental setups (left) and the corresponding images (right) of the actual portable device. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 16% |
| Student > Ph. D. Student | 12 | 15% |
| Student > Bachelor | 7 | 9% |
| Student > Master | 7 | 9% |
| Professor | 4 | 5% |
| Other | 13 | 16% |
| Unknown | 23 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 20 | 25% |
| Medicine and Dentistry | 6 | 8% |
| Engineering | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 34 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 April 2018.
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