Evidence map›Paper›PMID 39536102›Full record

ArticleScience advances2024

Compact highly sensitive photothermal RT-LAMP chip for simultaneous multidisease detection.

Wenshang Guo, Ye Tao, Ruizhe Yang, Kaihao Mao, Hongwei Zhou, Minghui Xu, Tie Sun, Xiao Li, Changrui Shi, Zhenyou Ge and 3 more

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Machine-Learning Microfluidic Minute-Scale Microorganism Metrics Monitoring(M6).Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Article
  5. A Field-Deployable RotEx-LAMP-LFA Platform for Molecular Triage of HPV-Driven Oncogenesis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Review
  7. Review
  8. Article
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

13 authors.

Wenshang GuoState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.ORCID 0009-0008-5613-3562
Ye TaoSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-0092-3484
Ruizhe YangState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.
Kaihao MaoSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.
Hongwei ZhouDepartment of Laboratory Diagnosis, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.ORCID 0009-0008-0717-9222
Minghui XuSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.
Tie SunState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.
Xiao LiState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.
Changrui ShiState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.
Zhenyou GeState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-9492-3345
Rui XueSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.
Haizhou ZhouDepartment of Laboratory Diagnosis, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.ORCID 0000-0002-2562-4229
Yukun RenState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-0167-1274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing instant detection systems with disease diagnostic capabilities holds immense importance for remote or resource-limited areas. However, the task of creating these systems-which are simultaneously easy to operate, rapid in detection, and cost-effective-remains a challenge. In this study, we present a compact highly sensitive photothermal reverse transcriptase-loop-mediated isothermal amplification (RT-LAMP) chip (SPRC) designed for the detection of multiple diseases. The nucleic acid (NA) amplification on the chip is achieved through LAMP driven by either LED illumination or simple sunlight focusing. SPRC performs sample addition and amplification within a limited volume and autonomous enrichment of NA during the sample addition process, achieving a limit of detection (LOD) as low as 0.2 copies per microliter. Through 120 clinical samples, we achieved an accuracy of 95%, with a specificity exceeding 97.5%. Overall, SPRC has achieved promising progress in the application of point-of-care testing (POCT) by using light energy to simultaneously detect multiple diseases.

Indexed as

Molecular Diagnostic TechniquesNucleic Acid Amplification TechniquesHumansLimit of DetectionPoint-of-Care TestingSensitivity and Specificity

Identifiers

PMID39536102
PMCPMC11559619

What OpenQuestion holds

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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.