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Background: Ochratoxin A (OTA) is toxic secondary metabolites produced by fungi and can pose a serious threat to food safety and human health. Due to the high stability and toxicity, OTA contamination in agricultural products is of great concern. Therefore, the development of a highly sensitive and reliable OTA detection method is crucial to ensure food safety.

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An ultrasensitive ECL immunosensor with a dual signal amplification strategy using AuNPs@GO@SmMoSe and Gd(MoO) for estriol detection.

Anal Chim Acta

February 2025

School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, PR China; Department of Chemistry, Sungkyunkwan University, Suwon, 16419, Republic of Korea. Electronic address:

Background: Estriol (E3) is a common estrogen responsible for regulating the female reproductive system, but excessive amount can pose health risks to humans and wild life. Therefore, sensitive and accurate detection of estriol level is crucial. A novel competitive ECL immunosensor based on a dual signal amplification strategy of AuNPs@GO@SmMoSe and Gd(MoO) was fabricated for ultrasensitive detection of estriol.

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Magnetic resonance electrical properties tomography can extract the electrical properties of in-vivo tissue. To estimate tissue electrical properties, various reconstruction algorithms have been proposed. However, physics-based reconstructions are prone to various artifacts such as noise amplification and boundary artifact.

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Rapid and accurate detection of Chlamydia psittaci, the causative agent of psittacosis, is crucial for both human and animal health but presents significant challenges, particularly in grassroots health institutions. Our previous PDTCTR fluorescence sensing platform, which combined the engineered Cas12f1_ge4.1 system with recombinase polymerase amplification (RPA), significantly enhanced detection efficiency.

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The association between microRNAs and various diseases, especially cancer, has been established in recent years, indicating that miRNAs can potentially serve as biomarkers for these diseases. Determining miRNA concentrations in biological samples is crucial for disease diagnosis. Nevertheless, the stem-loop reverse transcription quantitative PCR method, the gold standard for detecting miRNA, has great challenges in terms of high costs and enzyme limitations when applied to clinical biological samples.

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