婷 徐

婷 徐

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 October 2024 in Molecules
Verified
Journal Article
Open access
PDF file
XWXiaoming Wang
Xiaoming Wang
XCXiang Chen
Xiang Chen
婷徐婷 徐
婷 徐
XJXingsheng Jin
Xingsheng Jin
JJjunfang jiang
junfang jiang
FGFeng Guan
Feng Guan
Hysterothylacium aduncum is one of six pathogens responsible for human anisakiasis. Infection with H. aduncum can cause acute abdominal symptoms and allergic reactions and is prone to misdiagnosis in clinical practice. This study aims to enhance the efficiency and accuracy of detecting H. aduncum in food ingredients. We targeted the internal transcribed spacer 1 (ITS 1) regions of Anisakis to develop a visual screening method for detecting H. aduncum using recombinase polymerase amplification (RPA) combined with the CRISPR/Cas12a system. By comparing the ITS 1 region sequences of eight nematode species, we designed specific primers and CRISPR RNA (crRNA). The specificity of RPA primers was screened and evaluated, and the CRISPR system was optimized. We assessed its specificity and sensitivity and performed testing on commercial samples. The results indicated that the alternative primer ADU 1 was the most effective. The final optimized concentrations were 250 nM for Cas12a, 500 nM for crRNA, and 500 nM for ssDNA. The complete test procedure was achievable within 45 min at 37 °C, with a limit of detection (LOD) of 1.27 pg/μL. The amplified product could be directly observed using a fluorescence microscope or ultraviolet lamp. Detection results for 15 Anisakis samples were entirely consistent with those obtained via Sanger sequencing, demonstrating the higher efficacy of this method for detecting and identifying H. aduncum. This visual detection method, characterized by simple operation, visual results, high sensitivity, and specificity, meets the requirements for food safety testing and enhances monitoring efficiency.

17 March 2026 in Analytical Sciences
Verified
Journal Article
Closed access
PDF file
婷徐婷 徐
婷 徐
SYSiyu Yang
Siyu Yang
YPYingqiu Pan
Yingqiu Pan
XHXingjuan Hu
Xingjuan Hu
FGFeng Guan
Feng Guan
HXHuili Xia
Huili Xia