昆 万

Dr. 昆 万

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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20 February 2024 in Chemical Engineering Journal
Verified
Journal Article
Closed access
YJYouwei Jiang
Youwei Jiang
YSYingyu Sima
Yingyu Sima
LLLei Liu
Lei Liu
CZChuanqin Zhou
Chuanqin Zhou
SSShuting Shi
Shuting Shi
JLJun Liu
Jun Liu

19 August 2024 in Chemosphere
Verified
Journal Article
Closed access
SSShuting Shi
Shuting Shi
CZChuanqin Zhou
Chuanqin Zhou
ACAiting Chen
Aiting Chen
NTNana Tang
Nana Tang
昆万昆 万
昆 万
LCLi Cao
Li Cao

5 November 2024 in Advanced Composites and Hybrid Materials
Verified
Journal Article
Closed access
PDF file
YJYouwei Jiang
Youwei Jiang
YSYingyu Sima
Yingyu Sima
TATaghrid Alomar
Taghrid Alomar
NANajla AlMasoud
Najla AlMasoud
ZEZeinhom M. ElBahy
Zeinhom M. ElBahy
WWWu Wang
Wu Wang

4 September 2024 in Microchemical Journal
Verified
Journal Article
Closed access
YJYouwei Jiang
Youwei Jiang
CZChuanqin Zhou
Chuanqin Zhou
SSShuting Shi
Shuting Shi
昆万昆 万
昆 万
ACAiting Chen
Aiting Chen
QHQuanguo He
Quanguo He

20 August 2025 in Foods
Verified
Journal Article
Open access
PDF file
YJYouwei Jiang
Youwei Jiang
昆万昆 万
昆 万
ACAiting Chen
Aiting Chen
NTNana Tang
Nana Tang
NLNa Liu
Na Liu
QHQuanguo He
Quanguo He
Electrochemical biosensors have emerged as a promising tool for the early detection of diseases in oilseed crops such as rapeseed, soybean, and peanut. These biosensors offer high sensitivity, portability, and cost-effectiveness. Timely diagnosis is critical, as many pathogens exhibit latent infection phases or produce invisible metabolic toxins, leading to substantial yield losses before visible symptoms occur. This review summarises recent advances in the field of nanomaterial-assisted electrochemical sensing for oilseed crop diseases, with a particular focus on sensor mechanisms, interface engineering, and biomolecular recognition strategies. The following innovations are highlighted: nanostructured electrodes, aptamer- and antibody-based probes, and signal amplification techniques. These innovations have enabled the detection of pathogen DNA, enzymes, and toxins at ultra-low concentrations. Notwithstanding these achievements, challenges persist, including signal interference from plant matrices, limitations in device miniaturization, and the absence of standardized detection protocols. Future research should explore the potential of AI-assisted data interpretation, the use of biodegradable sensor materials, and the integration of these technologies with agricultural IoT networks. The aim of this integration is to enable real-time, field-deployable disease surveillance. The integration of laboratory innovations with field applications has been demonstrated to have significant potential in supporting sustainable agriculture and strengthening food security through intelligent crop health monitoring.