Yan Hai

Prof. Yan Hai

orcid

Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

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

Representative Publications

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19 October 2015 in Journal of Applied Microbiology
Verified
Journal Article
Closed access
PDF file
YLY. Li
Y. Li
QXQ. Xu
Q. Xu
ZHZ. Huang
Z. Huang
LLL. Lv
L. Lv
XLX. Liu
X. Liu
JYJ. Yuan
J. Yuan

1 March 2012 in Chemosphere
Verified
Journal Article
Closed access
YHYan Hai
Yan Hai
JWJunfeng Wang
Junfeng Wang
JCJian Chen
Jian Chen
WWWei Wei
Wei Wei
HWHuasheng Wang
Huasheng Wang
HWHui Wang
Hui Wang

1 July 2018 in Journal of Hazardous Materials
Verified
Journal Article
Closed access
XCXiaoxin Chen
Xiaoxin Chen
SHSheng He
Sheng He
ZLZhibin Liang
Zhibin Liang
QLQing X. Li
Qing X. Li
YHYan Hai
Yan Hai
Xiaolu LiuXiaolu Liu
Xiaolu Liu

1 October 2012 in Journal of Environmental Sciences
Verified
Journal Article
Closed access
YHYan Hai
Yan Hai
HWHuasheng Wang
Huasheng Wang
JWJunfeng Wang
Junfeng Wang
CYChunhua Yin
Chunhua Yin
SMSong Ma
Song Ma
XYXueyao Yin
Xueyao Yin

1 April 2024 in International Journal of Nanomedicine
Verified
Journal Article
Open access
PDF file
SAShahbaz Ahmad
Shahbaz Ahmad
SAShujaat Ahmad
Shujaat Ahmad
Shujat AliShujat Ali
Shujat Ali
MEMuhammad Esa
Muhammad Esa
AKAjmal Khan
Ajmal Khan
YHYan Hai
Yan Hai
Green synthesis of silver (Ag) and gold (Au) nanoparticles (NPs) has acquired huge popularity owing to their potential applications in various fields. A large number of research articles exist in the literature describing the green synthesis of Ag and Au NPs for biomedical applications. However, these findings are scattered, making it time-consuming for researchers to locate promising advancements in Ag and Au NPs synthesis and their unexplored biomedical applications. Unlike other review articles, this systematic study not only highlights recent advancements in the green synthesis of Ag and Au NPs but also explores their potential unexplored biomedical applications. The article discusses the various synthesis approaches for the green synthesis of Ag and Au NPs highlighting the emerging developments and novel strategies. Then, the article reviews the important biomedical applications of green synthesized Ag and Au NPs by critically evaluating the expected advantages. To expose future research direction in the field, the article describes the unexplored biomedical applications of the NPs. Finally, the articles discuss the challenges and limitations in the green synthesis of Ag and Au NPs and their biomedical applications. This article will serve as a valuable reference for researchers, working on green synthesis of Ag and Au NPs for biomedical applications.

26 November 2018 in Toxins
Verified
Journal Article
Open access
PDF file
YWYe Wang
Ye Wang
HZHaiyang Zhang
Haiyang Zhang
YHYan Hai
Yan Hai
CYChunhua Yin
Chunhua Yin
YLYang Liu
Yang Liu
ZZZhang Zhongbao
Zhang Zhongbao
Aflatoxin B1 (AFB1), a pollutant of agricultural products, has attracted considerable attention in recent years, due to its potential impact on health. In the present study, Bacillus licheniformis (BL010) was demonstrated to efficiently degrade AFB1, reducing over 89.1% of the toxin content within 120 h. A crude enzyme solution of BL010 exhibited the highest degradation level (97.3%) after three induction periods. However, uninduced BL010 bacteria was not capable of reducing AFB1. Furthermore, high performance liquid chromatography (HPLC) analysis showed that while a cell-free extract caused a significant decrease in AFB1 content (93.6%, p < 0.05), cell culture fluid treatment did not significantly degrade AFB1. The biotransformation products of AFB1 were detected and further identified by quadrupole time-of-flight liquid chromatography–mass spectrometry (LC-Q-TOF/MS); these corresponded to a molecular formula of C12H14O4. A sequence analysis of whole BL010 genes with a bioinformatics approach identified the secondary structures of two degrading enzymes (Chia010 and Lac010), providing an important basis for subsequent homology modeling and functional predictions.