Yanni Wu

Dr. Yanni Wu


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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30 May 2013 in Rare Metals
Verified
Journal Article
Closed access
PDF file
YWYanni Wu
Yanni Wu
SLShi‐Jun Liao
Shi‐Jun Liao
HGHai‐Fu Guo
Hai‐Fu Guo
XHXiang‐Ying Hao
Xiang‐Ying Hao
ZLZhenxing Liang
Zhenxing Liang


5 January 2026 in Polymers
Verified
Journal Article
Open access
PDF file
FYFeihua Ye
Feihua Ye
FCFan Chen
Fan Chen
YZYunhong Zhang
Yunhong Zhang
YHYunwei Huang
Yunwei Huang
SLShasha Liu
Shasha Liu
YWYanni Wu
Yanni Wu
Uric acid (UA), a key end-product of human purine metabolism, serves as an important biomarker linked to multiple disorders. This study developed a novel enzyme-free colorimetric sensing platform based on starch-derived nitrogen-doped biochar (NC) for the highly sensitive and selective detection of UA in human body fluids. The NC material with a high specific surface area and abundant nitrogen active sites was prepared via a two-step strategy involving hydrothermal synthesis followed by high-temperature pyrolysis, using starch and urea as raw materials. Under mild conditions, the NC effectively catalyzes dissolved oxygen to produce reactive oxygen species (·O2− and 1O2), which oxidize 3,3′,5,5′-tetramethylbenzidine (TMB) to a blue-colored oxidation product (TMBox). The presence of UA reduces TMBox to colorless TMB, leading to a measurable decrease in absorbance at 652 nm and enabling quantitative UA detection. Key reaction conditions were systematically optimized. Material characterization and mechanistic investigations confirmed the catalytic performance of the NC. The method demonstrated a wide linear response from 10 to 500 μmol·L−1, with a detection limit of 4.87 μmol·L−1, and demonstrated outstanding selectivity, stability, and reproducibility. Practical application in human serum and urine samples yielded results consistent with clinical reference ranges, and spike-recovery rates ranged from 95.5% to 103.6%, indicating great potential for real-sample analysis.

4 December 2025 in Preprints.org
Verified
Preprint
Open access
PDF file
FYFeihua Ye
Feihua Ye
FCFan Chen
Fan Chen
YZYunhong Zhang
Yunhong Zhang
YHYunwei Huang
Yunwei Huang
SLShasha Liu
Shasha Liu
YWYanni Wu
Yanni Wu
Uric acid (UA), the end product of purine metabolism in humans, is a crucial biomarker closely associated with various diseases. This study developed a novel enzyme-free colorimetric sensing platform based on starch-derived nitrogen-doped biochar (NC) for the highly sensitive and selective detection of UA in human body fluids. The NC material with a high specific surface area and abundant nitrogen active sites was prepared via a two-step strategy involving hydrothermal synthesis followed by high-temperature pyrolysis, using starch and urea as raw materials. It efficiently catalyzed dissolved oxygen to generate reactive oxygen species (·O2- and 1O2) under mild conditions, which oxidized 3,3',5,5'-tetramethylbenzidine (TMB) to produce a blue-colored product (TMBox). UA reduced TMBox back to colorless TMB, resulting in a decrease in absorbance at 652 nm, enabling the quantitative detection of UA. Key reaction conditions were systematically optimized. Material characterization and mechanistic investigations confirmed the catalytic performance. The method demonstrated a wide linear range of 10-500 μmol·L-1 and a low detection limit of 4.87 μmol·L-1, along with excellent selectivity, stability, and reproducibility. Practical application in human serum and urine samples yielded results consistent with clinical reference ranges, and spike-recovery rates ranged from 95.5% to 103.6%, indicating great potential for real-sample analysis.