Evidence map›Paper›PMID 29886189›Full record

ArticleBiosensors & bioelectronics2018

Aptasensor based on fluorophore-quencher nano-pair and smartphone spectrum reader for on-site quantification of multi-pesticides.

Nan Cheng, Yang Song, Qiangqiang Fu, Dan Du, Yunbo Luo, Yong Wang, Wentao Xu, Yuehe Lin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors & bioelectronics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Current Advances in Aptasensors for Pesticide Detection.Topics in current chemistry (Cham) · 2025
    Review
  6. Review
  7. Article
  8. Review
  9. Pesticide biosensors: trends and progresses.Analytical and bioanalytical chemistry · 2023
    Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Nan ChengBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, PR China; School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164, USA.
Yang SongSchool of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164, USA.
Qiangqiang FuSchool of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164, USA.
Dan DuSchool of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164, USA.
Yunbo LuoBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, PR China.
Yong WangTianjing Institute of Agricultural Quality Standard and Testing Technology, Tianjing Academy of Agricultural Sciences, Tianjin 300192, China.
Wentao XuBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, PR China. Electronic address: xuwentao@cau.edu.cn.
Yuehe LinSchool of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164, USA. Electronic address: yuehe.lin@wsu.edu.

Funding

ACL HHS R01OH011023NIOSH CDC HHS R01 OH011023
6 · The paper itself

Abstract

Current techniques for the detection of multi-pesticides are limited by technical complexity, sensitivity and cost. There is an urgent demand of developing new specific recognition elements and sensitive signal readouts for on-site monitoring. In this work, we developed a fluorescent aptamer-based lateral flow biosensor (apta-LFB) integrated with fluorophore-quencher nano-pairs and a smartphone spectrum reader to accomplish triple-target detection of chlorpyrifos, diazinon, and malathion. Aptamers serve as alternative recognition elements instead of antibodies in LFB, offering better specificity and stability. A novel fluorophore-quencher nano-pair (quantum dots nanobeads and gold nanostars) was implemented to perform "signal-on" instead of "signal-off". After optimization, detection limit of chlorpyrifos, diazinon, and malathion were determined to be 0.73 ng/mL, 6.7 ng/mL, and 0.74 ng/mL, respectively. Greatly increased sensitivity may come from the combination of improved signal and zero background. This innovative cascade strategy allowed to lower the detection limit of pesticides residue level in food, which is largely considered satisfactory. The accuracy and practicality of this design for effective on-site quantification of multi-pesticides were further confirmed using 12 vegetable and fruit samples. The estimated recoveries were between 82.4% and 112.8% in spiked vegetable samples, which indicated that the developed method is capable for detecting multi-pesticides in food samples. This sensitive handheld-system is promising to become a powerful tool for practical on-site application of multi-pesticide quantification procedures.

Indexed as

SmartphoneFood AnalysisLimit of DetectionPesticidesSpectrum AnalysisPesticidesAptasensorFluorescencePesticideSmartphoneSpectrum reader

Identifiers

PMID29886189
PMCPMC8672368

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.