Quansheng Chen
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Explore the profile of Quansheng Chen including associated specialties, affiliations and a list of published articles.
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Articles
296
Citations
1558
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Recent Articles
21.
Xia Y, Li D, Wang Y, Xi Q, Jiao T, Wei J, et al.
Spectrochim Acta A Mol Biomol Spectrosc
. 2024 Oct;
326:125258.
PMID: 39388934
The high economic value of Atlantic cod makes it prone to fraudulent activities in the market, thus achieving rapid and non-destructive identification of its authenticity has practical significance. This study...
22.
Jiao T, Dong C, Zhu A, Ahmad W, Peng L, Wu X, et al.
Food Chem
. 2024 Oct;
463(Pt 4):141417.
PMID: 39388875
In this study, we propose a novel surface-enhanced Raman scattering (SERS) method for quantifying aflatoxin B1 (AFB1). This method relies on the target-triggered release of a SERS reporter from aptamer-sealed...
23.
Jiang H, Wang Z, Deng J, Ding Z, Chen Q
J Food Sci
. 2024 Oct;
89(11):8054-8065.
PMID: 39366770
Heavy metal contaminants in vegetable oils can cause irreversible damage to human health. In this study, the quantitative detection of Cd in vegetable oils was investigated based on Raman spectroscopy...
24.
Kan J, Deng J, Ding Z, Jiang H, Chen Q
Spectrochim Acta A Mol Biomol Spectrosc
. 2024 Sep;
326:125195.
PMID: 39340947
Microplastics, as emerging environmental pollutants, have garnered considerable attention due to their contamination of both the environment and food. Microplastics can infiltrate the human food chain through multiple pathways, potentially...
25.
Li H, Nunekpeku X, Zhang W, Adade S, Ahmad W, Sheng W, et al.
Food Chem
. 2024 Sep;
463(Pt 3):141373.
PMID: 39340907
Achieving the ideal gel strength is essential for desired texture in minced chicken products. This study developed a rapid, non-destructive method using near-infrared (NIR) spectroscopy and nonlinear chemometric modeling to...
26.
Zhao S, Adade S, Wang Z, Jiao T, OuYang Q, Li H, et al.
Food Chem
. 2024 Sep;
463(Pt 3):141411.
PMID: 39332357
Artificial intelligence (AI) technology is advancing the digitization and intelligence development of the food industry. A promising application is using deep learning-assisted visible near-infrared (vis-NIR) spectroscopy to monitor residual sugar...
27.
Marimuthu M, Xu K, Song W, Chen Q, Wen H
Food Chem
. 2024 Sep;
463(Pt 3):141288.
PMID: 39326309
Pesticide residue contamination has emerged as a critical concern due to its potential negative effects on both public health and the natural environment. Consequently, the detection of pesticide residue is...
28.
Li H, Murugesan A, Shoaib M, Sheng W, Chen Q
Crit Rev Food Sci Nutr
. 2024 Sep;
:1-33.
PMID: 39323356
The increasing demand for toxin-free food, driven by the rise in fast food consumption and changing dietary habits, necessitates advanced and efficient detection methods to address the potential risks associated...
29.
Hassan M, Xu Y, Sayada J, Zareef M, Shoaib M, Chen X, et al.
Biosens Bioelectron
. 2024 Sep;
267:116782.
PMID: 39288707
Rapid urbanization and growing food demand caused people to be concerned about food safety. Biosensors have gained considerable attention for assessing food safety due to selectivity, and sensitivity but poor...
30.
Fang Y, Wang W, Xu Y, Chen Q, Jiao T, Wei J, et al.
Talanta
. 2024 Sep;
281:126823.
PMID: 39245009
Organophosphorus pesticides (OPPs) present in tea infusions pose a serious threat to human health. In this study, a sensitive method for the determination of OPPs was developed based on a...