Microsensors for Early Disease Diagnosis and Rapid Food Safety Testing

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B1: Biosensors".

Deadline for manuscript submissions: 25 January 2027 | Viewed by 767

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Guest Editor
Key Laboratory of Optoelectronic Technology and System of Ministry of Education, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
Interests: biophotoelectric sensing; precision testing and metrology; biophotonics
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Special Issue Information

Dear Colleagues,

Microsensors are quietly reshaping how we approach healthcare and food safety. These miniaturized devices, integrating bio-recognition elements (e.g., antibodies, aptamers), nanomaterials, and microfluidics, enable ultra-sensitive, specific, and rapid detection of biomarkers, pathogens, and contaminants. In healthcare, they facilitate point-of-care diagnostics for cancers, infectious diseases, and chronic conditions, while in food industries, they ensure real-time screening of pesticides, heavy metals, and microbial hazards. However, challenges remain, such as the following: enhancing sensitivity/specificity trade-offs, improving long-term stability, reducing fabrication costs, and achieving seamless integration with portable platforms. This Special Issue seeks to highlight cutting-edge contributions, including (1) novel designs and fabrication strategies for microsensors using diverse actuation/sensing mechanisms; (2) innovative applications in medical diagnostics (e.g., liquid biopsy, wearable biosensors) and food safety (e.g., on-site testing kits, smart packaging); and (3) breakthroughs in signal amplification, multiplexing, and AI-driven data analysis to bridge the gap between laboratory prototypes and real-world deployment. Contributions spanning research papers, communications, and reviews are welcome to advance this transformative field.

Prof. Dr. XiaoGang Lin
Guest Editor

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Keywords

  • microsensors
  • bio-recognition elements
  • nanomaterials
  • medical diagnostics
  • food safety

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Published Papers (2 papers)

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Research

13 pages, 7410 KB  
Article
AC Electrokinetics-Enhanced Capacitive Aptasensor for Point-of-Care Testing of Acrylamide in Coffee
by Ke Wang, Mingna Xie, Yuyang Zhao, Jiuyi Wang, Leilei Zeng, Xiaogang Lin and Jie Jayne Wu
Micromachines 2026, 17(8), 966; https://doi.org/10.3390/mi17080966 (registering DOI) - 16 Aug 2026
Abstract
Acrylamide (AA) is a common contaminant in foods processed at high temperatures and has attracted significant attention due to its potential neurotoxicity and carcinogenicity. Therefore, the development of a highly sensitive, highly selective sensing technology suitable for on-site detection is of great importance [...] Read more.
Acrylamide (AA) is a common contaminant in foods processed at high temperatures and has attracted significant attention due to its potential neurotoxicity and carcinogenicity. Therefore, the development of a highly sensitive, highly selective sensing technology suitable for on-site detection is of great importance for ensuring food safety. In this study, an aptamer (Apt)-based capacitive AA sensor was developed based on the alternating current electrokinetics (ACEK) effect. The sensor utilizes an aptamer as the biomimetic recognition element, which can specifically recognize AA, thereby enabling quantitative detection. Additionally, a detachable detection fixture and data acquisition system were designed to enhance the detection stability and convenience of sensor. Within the linear range of 1 nmol/L to 10 µmol/L, the sensor response (dC/dt) exhibited a good linear relationship with AA concentration, with a detection limit as low as 0.4235 nmol/L. The sensor exhibits good selectivity toward structural analogs of AA, with a recovery relative standard deviations (RSDs) of less than 5.42% in spiked coffee samples. This portable detection system provides a sensitive and user-friendly tool for the analysis of acrylamide in food and holds great potential for application in food safety. Full article
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19 pages, 2415 KB  
Article
Response Surface Methodology-Optimized Synthesis of ZIF-8 Nanoparticles and Its Application in the Extraction of Anthraquinones from Cassia Seed
by Chunhua Qu, Yafei Yang, Yan Liu, Guang Xu, Jing Zeng and Mengqin Li
Micromachines 2026, 17(7), 774; https://doi.org/10.3390/mi17070774 - 26 Jun 2026
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Abstract
In this study, response surface methodology (RSM) was employed to evaluate and optimize the key parameters for the solvothermal synthesis of Zeolitic Imidazolate Framework-8 (ZIF-8) nanoparticles, including solvent type, reaction temperature, reaction time, and material ratio. A multivariate regression model identified the optimal [...] Read more.
In this study, response surface methodology (RSM) was employed to evaluate and optimize the key parameters for the solvothermal synthesis of Zeolitic Imidazolate Framework-8 (ZIF-8) nanoparticles, including solvent type, reaction temperature, reaction time, and material ratio. A multivariate regression model identified the optimal preparation conditions as ethanol as the solvent, a reaction temperature of 120 °C, a reaction time of 4 h, and a 5:1 molar ratio of 2-methylimidazole to zinc acetate. The resulting ZIF-8 nanoparticles exhibited highly selective adsorption capacity toward anthraquinones and were successfully applied to the rapid extraction and detection of five anthraquinones from Cassiae semen. By investigating the adsorbent dosage, adsorption efficiency, elution solvent, and elution efficiency, we established the optimal experimental conditions. Briefly, 20 mg of ZIF-8 nanoparticles were added to 10 mL of Cassia semen extract, and the mixture was shaken for 10 min before centrifugation. The residual anthraquinones in the supernatant were quantified by Ultra Performance Liquid Chromatography (UPLC). The adsorption efficiencies of aloe-emodin, rhein, emodin, chrysophanol, and physcion were 80.2%, 93.8%, 100%, 100%, and 100%, respectively. When eluted with methanol/100 mM NaHCO3 solution (1:1, v/v), the corresponding elution efficiencies of these compounds were 82.8%, 97.8%, 85.1%, 93.2%, and 65.3%, respectively. The relative standard deviations (RSDs) for method precision, stability, and repeatability were all below 4.0%. The prepared ZIF-8 nanoparticles showed favorable adsorption performance toward the five anthraquinone components. The method is simple to operate, requires minimal sample and solvent consumption, and can be used for rapid extraction and detection of anthraquinones in traditional Chinese medicinal materials such as Cassiae semen. This work provides a scientific reference for the application of MOFs nanomaterials in food safety inspection and quality control of traditional Chinese medicinal materials. Full article
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