|
1
|
Coulombe G, Tamber S. Salmonella enterica Outbreaks Linked to the Consumption of Tahini and Tahini-Based Products. Microorganisms 2022; 10:microorganisms10112299. [PMID: 36422369 PMCID: PMC9694856 DOI: 10.3390/microorganisms10112299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/15/2022] [Accepted: 11/17/2022] [Indexed: 11/22/2022] Open
Abstract
Salmonella is a leading cause of bacterial foodborne illness in the world. Although typically associated with foods of animal origin, low-moisture foods, such as tahini, are quickly gaining recognition as an important vehicle of Salmonella exposure. This review offers the Canadian perspective on the issue of Salmonella in tahini and tahini-based products. A summary of several recent food product recalls and foodborne outbreaks related to the presence of Salmonella in tahini and tahini-based products such as halva are presented. The properties of the food vehicles, their production practices, and potential routes of contamination are discussed. Particular focus is placed on the ecology of Salmonella in the tahini production continuum, including its survival characteristics and response to intervention technologies.
Collapse
Affiliation(s)
- Geneviève Coulombe
- Microbiology Evaluation Division, Bureau of Microbial Hazards, Food Directorate, Health Canada, 251 Sir Frederick Banting Driveway, Ottawa, ON K1A 0K9, Canada
| | - Sandeep Tamber
- Microbiology Research Division, Bureau of Microbial Hazards, Food Directorate, Health Canada, 251 Sir Frederick Banting Driveway, Ottawa, ON K1A 0K9, Canada
- Correspondence:
| |
Collapse
|
|
2
|
Kong C, Yang L, Gong H, Wang L, Li H, Li Y, Wei B, Nima C, Deji Y, Zhao S, Guo M, Gu L, Yu J, Gesang Z, Li R. Dietary and Food Consumption Patterns and Their Associated Factors in the Tibetan Plateau Population: Results from 73 Counties with Agriculture and Animal Husbandry in Tibet, China. Nutrients 2022; 14:1955. [PMID: 35565921 PMCID: PMC9103862 DOI: 10.3390/nu14091955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/22/2022] [Accepted: 05/03/2022] [Indexed: 12/04/2022] Open
Abstract
Dietary imbalances are an important cause of morbidity and mortality, both in China and globally. Abnormal element content in the natural environment and the unbalanced dietary structure of populations coexist in the Tibetan Plateau. This study analyzed the dietary and food consumption patterns of 617 Tibetan residents and their associated factors. Cluster analysis revealed three modes of dietary pattern; the food consumption scores (FCSs) of subjects in modes with relatively high consumption frequency of staple food and relatively singular dietary structure were the lowest. Although the FCSs of most subjects were acceptable (FCS > 35), subjects with relatively low FCSs were more dependent on locally cultivated highland barley that is probably low in selenium. Hierarchical linear models revealed both individual−family and regional factors were significantly related (p values < 0.05) with the food consumption of subjects as follows: age, travel time from township to county, and cultivation area of highland barley were negatively related; numbers of individuals aged 40−60 years and pork, beef, and mutton production were positively related. Individuals with secondary or higher education had higher FCSs. A single indicator may be incomprehensive in dietary and food consumption studies. For people with a relatively unbalanced diet, an analysis of the main foods they consume is critical. Dietary and food consumption patterns might have relatively large inter-regional and intra-regional variations; therefore, factors that influence it might be multi-level and multi-scale.
Collapse
Affiliation(s)
- Chang Kong
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
| | - Linsheng Yang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hongqiang Gong
- Tibet Center of Disease Control and Prevention, Lhasa 850030, China; (H.G.); (C.N.); (Y.D.); (S.Z.); (M.G.); (Z.G.); (R.L.)
| | - Li Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
| | - Hairong Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yonghua Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
| | - Binggan Wei
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
| | - Cangjue Nima
- Tibet Center of Disease Control and Prevention, Lhasa 850030, China; (H.G.); (C.N.); (Y.D.); (S.Z.); (M.G.); (Z.G.); (R.L.)
| | - Yangzong Deji
- Tibet Center of Disease Control and Prevention, Lhasa 850030, China; (H.G.); (C.N.); (Y.D.); (S.Z.); (M.G.); (Z.G.); (R.L.)
| | - Shengcheng Zhao
- Tibet Center of Disease Control and Prevention, Lhasa 850030, China; (H.G.); (C.N.); (Y.D.); (S.Z.); (M.G.); (Z.G.); (R.L.)
| | - Min Guo
- Tibet Center of Disease Control and Prevention, Lhasa 850030, China; (H.G.); (C.N.); (Y.D.); (S.Z.); (M.G.); (Z.G.); (R.L.)
| | - Lijuan Gu
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
| | - Jiangping Yu
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
| | - Zongji Gesang
- Tibet Center of Disease Control and Prevention, Lhasa 850030, China; (H.G.); (C.N.); (Y.D.); (S.Z.); (M.G.); (Z.G.); (R.L.)
| | - Rujun Li
- Tibet Center of Disease Control and Prevention, Lhasa 850030, China; (H.G.); (C.N.); (Y.D.); (S.Z.); (M.G.); (Z.G.); (R.L.)
| |
Collapse
|