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421 results on '"Xiao, Yingping"'

54. Evaluation of Alternaria toxins in fruits, vegetables and their derivatives marketed in China using a QuEChERS method coupled with ultra-high performance liquid chromatography-tandem mass spectrometry: Analytical methods and occurrence

Author

Ji, Xiaofeng, primary, Deng, Tao, additional, Xiao, Yingping, additional, Jin, Canghong, additional, Lyu, Wentao, additional, Wang, Wen, additional, Tang, Biao, additional, Wu, Zhen, additional, and Yang, Hua, additional

Published
2023
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79. Multiresidue determination of antibiotics in ready‐to‐eat duck eggs marketed through e‐commerce stores in China and subsequent assessment of dietary risks to consumers

Author

Mingrong Qian, Yan Xu, Jianmei Wang, Yang Hua, Xiao Yingping, Simin Tan, Xiaofeng Ji, Rui Li, Tang Biao, and Lyu Wentao

Subjects
China, Nalidixic acid, 030309 nutrition & dietetics, medicine.drug_class, Eggs, Antibiotics, Food Contamination, Biology, Risk Assessment, Toxicology, 03 medical and health sciences, chemistry.chemical_compound, 0404 agricultural biotechnology, Sulfadiazine, Sarafloxacin, Tandem Mass Spectrometry, Sulfaquinoxaline, medicine, Enrofloxacin, Animals, 0303 health sciences, business.industry, Commerce, 04 agricultural and veterinary sciences, Food safety, 040401 food science, Anti-Bacterial Agents, Ducks, chemistry, Consumer Product Safety, Flumequine, business, Chromatography, Liquid, Food Science, medicine.drug
Abstract

In this work, the occurrence of 34 common antibiotic (15 sulfonamides and 19 quinolones) residues were evaluated in 236 ready-to-eat duck eggs (salted and preserved duck eggs) marketed through e-commerce stores by ultra-performance liquid chromatography coupled to tandem mass spectrometry, and subsequent dietary risk assessments for Chinese consumers were conducted. Among violated positives in duck egg samples, 11 analytes were found including sulfamethazine, sulfaquinoxaline, sulfamethoxazole, sulfadiazine, sulfamonomethoxine, ciprofloxacin, enrofloxacin, ofloxacin, flumequine, sarafloxacin, and nalidixic acid. A higher number of antibiotics were detected in salted duck eggs (five sulfonamides and six quinolones) than in preserved duck eggs (one sulfonamide and two quinolones). The maximum contamination of sulfonamides and quniolones was 448.0 µg/kg (sulfaquinoxaline) and 563.7 µg/kg (enrofloxacin) in salted duck eggs, respectively. Dietary exposure was evaluated through the estimated daily intake (EDI) of risky antibiotics (sulfamethazine, ciprofloxacin, and enrofloxacin) and hazard quotients (HQs). The results showed that EDIs and HQs were in the range of 0.0004 to 0.0099 µg/kg bw/day and 0.0009 to 0.1594%, respectively. The risk was low since HQs obtained were less than 100%. However, a special attention should be paid to ready-to-eat duck egg products high percentile consumers with the prosperity of e-commerce market in China. PRACTICAL APPLICATION: The present analytical method could be used for multiresidue determination of antibiotics in ready-to-eat duck eggs, and dietary risk assessments of risky antibiotics provided a support for the work of regulatory bodies to conduct surveillance programs regarding food safety evaluation of ready-to-eat foods.

Published
2021

83. Additional file 1 of Donor age and body weight determine the effects of fecal microbiota transplantation on growth performance, and fecal microbiota development in recipient pigs

Author

Wang, Xiaofan, Tsai, Tsungcheng, Zuo, Bin, Wei, Xiaoyuan, Deng, Feilong, Li, Ying, Maxwell, Charles V., Yang, Hua, Xiao, Yingping, and Zhao, Jiangchao

Subjects
fluids and secretions, digestive system
Abstract

Additional file 1: Table S1. Nursery diet composition (as fed). Table S2. Growing and finishing diet composition (as fed). Table S3. List of age-associated bacterial features identified by LEfSe. Fig. S1. Longitudinal dynamics of alpha diversities (chao1, observed_features, and Shannon) of the gut microbiota in recipient pigs gavage fed with PBS with 20% glycerol (Con), fecal microbiota from a nursery pig with low (NL) or high body weight (NH), fecal microbiota from a growing pig with low (GL) or high body weight (GH), and fecal microbiota from a finishing pig with low (FL) or high body weight (FH) at weaning (a). Alpha diversities (chao1, observed_features, and shannon) of the six donors (b). Fig. S2. Bray-Curtis dissimilarity-based PCOA plots of gut microbial communities from donors and recipient pigs on d25, 35, 49, 63, and 174. Points represent the gut microbiota in recipient pigs gavage fed with PBS with 20% glycerol (Con/yellow), fecal microbiota from a nursery pig with low (NL/light red) or high body weight (NH/dark red), fecal microbiota from a growing pig with low (GL/light green) or high body weight (GH/dark green), and fecal microbiota from a finishing pig with low (FL/light purple) or high body weight (FH/dark purple) at weaning (a). Donors are yellow color filled triangles (light BW) and squares (heavy BW). Fig. S3. The top 50 estimated age (EMA)-associated features identified by the regression-based random forest. Fig. S4. Boxplots present the estimated microbiota ages (EMA) of the gut microbiota in recipient pigs on d 32, 35, 49, 63, and 104 (a). Distributions of EMA values from each group on d35 and 49 (b). The relative abundances of potential modulated bacterial members associated with EMA on d35 and 49 by fecal microbial transplantations (c). Fig. S5. Boxplots showing the relative abundances of BW-associated bacterial features at each treatment (a. d63 and 104; b. d35; c. d49). The scatter plots with regression line showing correlations of these features with body weight (BW) on each day. Box color represents different FMT groups (Con/blue: vehicle group; NL/light red: nursery stage microbiota from a light BW donor; NH/dark red: nursery stage microbiota from a heavy BW donor; GL/light green: growing stage microbiota from a light BW donor; GH/dark green: growing stage microbiota from a heavy BW donor; FL/light red: finishing stage microbiota from a light BW donor; FH/dark red: finishing stage microbiota from a heavy BW donor). Fig. S6. Abundances of the predicted metabolic pathways in the recipient fecal microbiotas that were gavage fed either a placebo or growing stage microbiotas from a heavy body weight donor (GH) on d104. Fig. S7. Abundances of the influenced metabolic pathways predicted in the recipient microbiotas that were gavage fed growing stage microbiotas from both light (GL) and heavy body weight donors (GH) on d49. Fig. S8. Abundances of the influenced metabolic pathways predicted in the recipient microbiotas that were gavage fed either placebo or growing stage microbiotas from a heavy body weight donor (GH) on d49.

Published
2022
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95. Inducible Resistance to β-Lactams in Oxacillin-Susceptible mecA1-Positive Staphylococcus sciuri Isolated From Retail Pork

Author

Cai, Yifei, primary, Zheng, Liangjun, additional, Lu, Yao, additional, Zhao, Xu, additional, Sun, Yanting, additional, Tang, Xingyuan, additional, Xiao, Jinhe, additional, Wang, Chen, additional, Tong, Chao, additional, Zhao, Lili, additional, Xiao, Yingping, additional, Zhao, Xin, additional, and Xue, Huping, additional

Published
2021
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