Hongzhou An

Hongzhou An


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

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8 November 2023 in Food Research International
Verified
Journal Article
Closed access
ZHZehua Huang
Zehua Huang
YLYing Liu
Ying Liu
HAHongzhou An
Hongzhou An
Zoltan KovacsZoltan Kovacs
Zoltan Kovacs
MAMehdi Abddollahi
Mehdi Abddollahi
CLChengwei Li
Chengwei Li

1 January 2024 in Food Materials Research
Verified
Journal Article
Open access
PDF file
JSJiayu Sun
Jiayu Sun
LWLifen Wang
Lifen Wang
ZHZehua Huang
Zehua Huang
NGNianguo Guo
Nianguo Guo
HAHongzhou An
Hongzhou An
Zoltan KovacsZoltan Kovacs
Zoltan Kovacs
This research investigates the dynamic changes of free amino acids in beef cooked to different doneness levels and develops a qualitative framework to predict doneness based on chemical attributes. During the frying process, beef proteins and free amino acids exhibit recognizable patterns that correspond to the central temperature. Myosin, being less thermally stable, exhibited a decreasing tendency at the first degree of doneness, while actin showed a distinct change at the fourth degree of doneness. The logarithmic curves adeptly fit hydrophilic and aromatic amino acids. Recognizing the nonlinear relationship between free amino acids and central temperature, Fisher's discriminant analysis was applied, achieving an 89.7% classification rate for non-enzymatic hydrolysis beef beef and 62.1% for enzymatically hydrolyzed beef. Therefore, the discriminatory accuracy for enzymatically hydrolyzed beef was deemed insufficient. By incorporating mean and covariance matrix parameters of beef doneness into a mathematical discriminative model, the discrimination accuracy could be enhanced to 96.55%.

19 January 2026 in Foods
Verified
Journal Article
Open access
PDF file
RLRui Lai
Rui Lai
JLJie Liu
Jie Liu
QHQing Huang
Qing Huang
XFXiaoji Fei
Xiaoji Fei
HAHongzhou An
Hongzhou An
YLYanru Li
Yanru Li
Medium-milled rice is increasingly valued for its health benefits and distinctive aroma, which differs from that of white rice because differences in milling degree modify the content of lipids and other aroma precursors. However, its aroma profile remains underexplored. This study aimed to systematically analyze aroma differences among four Simiao rice cultivars after medium milling (8% degree of milling) and to elucidate the chemical basis underlying consumer preference. Odor sensory evaluation identified Xiangzhuxiang as the cultivar with the highest aroma acceptance. Subsequently, gas chromatography–olfactometry–mass spectrometry and odor activity value analysis characterized the volatile profile, identifying 45 volatile compounds across the four cultivars, including 17 key odor-active components. Multivariate statistical analysis pinpointed the discriminating key odor-active compounds responsible for the superior aroma quality of Xiangzhuxiang. The results showed that (E,E)-2,4-decadienal and indole (VIP > 1.0, FDR-adjusted q < 0.05, FC > 1.2, OAV > 1.0, confirmed by GC-O) significantly increased the aroma scores of Xiangzhuxiang; imparted nutty, fatty, and sweet notes; and thus played a decisive role in shaping its characteristic aroma. Moreover, the moderate levels of hexanal and octanal in Xiangzhuxiang facilitated its characteristic aroma expression. These findings provide a basis for developing premium fragrant Simiao rice cultivars optimized for medium milling.