Automatic Fungal Glucan Analyzer: For the Rapid Laboratory Testing

Abstract Invasive fungal infections (IFIs) have a high mortality rate, especially in the context of invasive treatments such as the use of high-intensity immunosuppressive drugs and indwelling catheters. It is crucial to have a sensitive instrument for rapid laboratory testing to detect early invasive fungal disease (IFD). Therefore, we propose an automatic fungal dextran analyzer that streamlines sample addition, mixing, and result processing, reducing cross-contamination and enhancing operational efficiency. This analyzer utilizes human serum as the sample and offers rapid point-of-care testing (POCT) for IFD without the need for manual intervention. Each individual sample can be processed in just 45 min, and the instrument has the capacity to handle 24 patient specimens within an hour. To address optoelectronic noise concerns, our instrument's algorithm design incorporates both sliding average filtering and a modified version of the least squares method. The application of these techniques significantly enhances the algorithm's accuracy, resulting in an impressive improvement from 95.82% to 99.98%. The instrument underwent clinical testing using serum samples obtained from 130 subjects. The study findings revealed that the instrument effectively facilitated early diagnosis of IFD, thereby considerably improving the efficiency of the testing process.

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Publication Details

Journal
Journal of Medical Devices
Published
2025-04-02
DOI
https://doi.org/10.1115/1.4068327
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Automatic Fungal Glucan Analyzer: For the Rapid Laboratory Testing

Zhong Chen, C. X. Liu, Guorui Zhu, Yongjia Zhang et al.
Journal of Medical Devices
Gene expression and cancer classification
article

Automatic Fungal Glucan Analyzer: For the Rapid Laboratory Testing

Zhong Chen, C. X. Liu, Guorui Zhu, Yongjia Zhang, Zeyuan Liu, Yamei Wu
article en

Abstract

Abstract Invasive fungal infections (IFIs) have a high mortality rate, especially in the context of invasive treatments such as the use of high-intensity immunosuppressive drugs and indwelling catheters. It is crucial to have a sensitive instrument for rapid laboratory testing to detect early invasive fungal disease (IFD). Therefore, we propose an automatic fungal dextran analyzer that streamlines sample addition, mixing, and result processing, reducing cross-contamination and enhancing operational efficiency. This analyzer utilizes human serum as the sample and offers rapid point-of-care testing (POCT) for IFD without the need for manual intervention. Each individual sample can be processed in just 45 min, and the instrument has the capacity to handle 24 patient specimens within an hour. To address optoelectronic noise concerns, our instrument's algorithm design incorporates both sliding average filtering and a modified version of the least squares method. The application of these techniques significantly enhances the algorithm's accuracy, resulting in an impressive improvement from 95.82% to 99.98%. The instrument underwent clinical testing using serum samples obtained from 130 subjects. The study findings revealed that the instrument effectively facilitated early diagnosis of IFD, thereby considerably improving the efficiency of the testing process.

Journal of Medical DevicesVol. 19(3)
Tianjin University of Science and Technology (CN), Tianjin University of Technology (CN), Tianjin University (CN), Tianjin Meteorological Bureau (CN)
Openalex Percentile: Top 94%
Gene expression and cancer classification
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