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Wu Y, Wang Y, Wu Y, Feng Z, Li D, Zhao W, Liu Q. Label-free multi-line immunochromatographic sensor based on TCBPE for broad-spectrum detection Salmonella in food. Anal Chim Acta 2024; 1320:343006. [PMID: 39142783 DOI: 10.1016/j.aca.2024.343006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 07/19/2024] [Accepted: 07/21/2024] [Indexed: 08/16/2024]
Abstract
BACKGROUND Salmonella, a foodborne pathogen poses significant threats to food safety and human health. Immunochromatographic (ICTS) sensors have gained popularity in the field of food safety due to their convenience, speed, and cost-effectiveness. However, most existing ICTS sensors rely on antibody sandwich structures which are limited by their dependence on high-quality paired antibodies and restricted sensitivity. For the first time, we combined multi-line ICTS strips with fluorescent bacterial probes to develop a label-free multi-line immunochromatographic sensor capable of detecting broad-spectrum Salmonella. Salmonella was labeled with the aggregation-induced luminescence material TCBPE, resulting in its transformation into a green fluorescent probe. RESULTS Using this sensor, we successfully detected Salmonella typhimurium within the concentration range of 104-108 CFU/mL with a visual detection limit of 6.0 × 104 CFU/mL. Compared to single-line sensors, our multi-line sensor exhibited significantly improved fluorescence intensity resulting in enhanced detection sensitivity by 50 %. Furthermore, our developed multi-line ICTS sensor demonstrated successful detection of 18 different strains of Salmonella without any cross-reaction observed with 5 common foodborne pathogens tested. The applicability and reliability were validated using milk samples, cabbage juice samples as well and drinking water samples suggesting its potential for rapid and accurate detection of Salmonella in real-world scenarios across both the food industry and clinical settings. SIGNIFICANCE In this experiment, we developed a TCBPE-based multiline immunochromatographic sensor. Specifically, Salmonella was labeled with the aggregation-induced luminescence material TCBPE, resulting in its transformation into a green fluorescent probe. Through the multi-line analysis system, the detection sensitivity and accuracy of the sensor are improved. In brief, the sensor does not require complex antibody labeling and paired antibodies, and only one antibody is needed to complete the detection process.
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Affiliation(s)
- Yafang Wu
- College of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Yinglin Wang
- College of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Youxue Wu
- College of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Zhaoyi Feng
- College of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Dezhi Li
- College of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Wenjun Zhao
- Chinese Academy of Inspection and Quarantine, Beijing, 100000, China.
| | - Qing Liu
- College of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
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Kim M, Barnett-Neefs C, Chavez RA, Kealey E, Wiedmann M, Stasiewicz MJ. Risk Assessment Predicts Most of the Salmonellosis Risk in Raw Chicken Parts is Concentrated in Those Few Products with High Levels of High-Virulence Serotypes of Salmonella. J Food Prot 2024; 87:100304. [PMID: 38777091 DOI: 10.1016/j.jfp.2024.100304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 05/13/2024] [Accepted: 05/15/2024] [Indexed: 05/25/2024]
Abstract
Salmonella prevalence declined in U.S. raw poultry products since adopting prevalence-based Salmonella performance standards, but human illnesses did not reduce proportionally. We used Quantitative Microbial Risk Assessment (QMRA) to evaluate public health risks of raw chicken parts contaminated with different levels of all Salmonella and specific high- and low-virulence serotypes. Lognormal Salmonella level distributions were fitted to 2012 USDA-FSIS Baseline parts survey and 2023 USDA-FSIS HACCP verification sampling data. Three different Dose-Response (DR) approaches included (i) a single DR for all serotypes, (ii) DR that reduces Salmonella Kentucky ST152 virulence, and (iii) multiple serotype-specific DR models. All scenarios found risk concentrated in the few products with high Salmonella levels. Using a single DR model with Baseline data (μ = -3.19, σ = 1.29 Log CFU/g), 68% and 37% of illnesses were attributed to the 0.7% and 0.06% of products with >1 and >10 CFU/g Salmonella, respectively. Using distributions from 2023 HACCP data (μ = -5.53, σ = 2.45), 99.8% and 99.0% of illnesses were attributed to the 1.3% and 0.4% of products with >1 and >10 CFU/g Salmonella, respectively. Scenarios with serotype-specific DR models showed more concentrated risk at higher levels. Baseline data showed 92% and 67% and HACCP data showed >99.99% and 99.96% of illnesses attributed to products with >1 and >10 CFU/g Salmonella, respectively. Regarding serotypes using Baseline or HACCP input data, 0.002% and 0.1% of illnesses were attributed to the 0.2% and 0.4% of products with >1 CFU/g of Kentucky ST152, respectively, while 69% and 83% of illnesses were attributed to the 0.3% and 0.6% of products with >1 CFU/g of Enteritidis, Infantis, or Typhimurium, respectively. Therefore, public health risk in chicken parts is concentrated in finished products with high levels and specifically high levels of high-virulence serotypes. Low-virulence serotypes like Kentucky contribute few human cases.
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Affiliation(s)
- Minho Kim
- Dept. of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 905 S Goodwin Ave., Urbana, IL 61801, USA
| | - Cecil Barnett-Neefs
- Dept. of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 905 S Goodwin Ave., Urbana, IL 61801, USA
| | - Ruben A Chavez
- Dept. of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 905 S Goodwin Ave., Urbana, IL 61801, USA
| | - Erin Kealey
- Dept. of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 905 S Goodwin Ave., Urbana, IL 61801, USA
| | - Martin Wiedmann
- Dept. of Food Science, Cornell University, 341 Stocking Hall, Ithaca, NY 14853, USA
| | - Matthew J Stasiewicz
- Dept. of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 905 S Goodwin Ave., Urbana, IL 61801, USA.
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Powell MR. Trends in reported illness due to poultry- and nonpoultry associated Salmonella serotypes; United States 1996-2019. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2024; 44:641-649. [PMID: 37330987 DOI: 10.1111/risa.14181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 05/29/2023] [Accepted: 06/01/2023] [Indexed: 06/20/2023]
Abstract
Retrospective review is a key to designing effective food safety measures. Despite the reported reduction of Salmonella prevalence in poultry products, there has not been a concomitant reduction of the overall incidence of Salmonella illnesses reported to the US Foodborne Diseases Active Surveillance Network (FoodNet) since 1996. However, there have been significant annual trends among Salmonella serotypes. This analysis examines trends in the reported incidence of illness due to poultry- and nonpoultry associated Salmonella serotypes. Overall, the findings indicate declining trends in illness due to the poultry-associated serotypes and increasing trends in illness due to Salmonella serotypes not associated with poultry.
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Affiliation(s)
- Mark R Powell
- Office of Risk Assessment and Cost Benefit Analysis, US Department of Agriculture, Washington, District of Columbia, USA
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Response to Questions Posed by the Food Safety and Inspection Service: Enhancing Salmonella Control in Poultry Products. J Food Prot 2024; 87:100168. [PMID: 37939849 DOI: 10.1016/j.jfp.2023.100168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 11/10/2023]
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Sheng H, Suo J, Dai J, Wang S, Li M, Su L, Cao M, Cao Y, Chen J, Cui S, Yang B. Prevalence, antibiotic susceptibility and genomic analysis of Salmonella from retail meats in Shaanxi, China. Int J Food Microbiol 2023; 403:110305. [PMID: 37421839 DOI: 10.1016/j.ijfoodmicro.2023.110305] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 06/06/2023] [Accepted: 06/25/2023] [Indexed: 07/10/2023]
Abstract
Salmonella is a major foodborne pathogen that poses a substantial risk to food safety and public health. This study aimed to assess the prevalence, antibiotic susceptibility, and genomic features of Salmonella isolates recovered from 600 retail meat samples (300 pork, 150 chicken and 150 beef) from August 2018 to October 2019 in Shaanxi, China. Overall, 40 (6.67 %) of 600 samples were positive to Salmonella, with the highest prevalence in chicken (21.33 %, 32/150), followed in pork (2.67 %, 8/300), while no Salmonella was detected in beef. A total of 10 serotypes and 11 sequence types (STs) were detected in 40 Salmonella isolates, with the most common being ST198 S. Kentucky (n = 15), ST13 S. Agona (n = 6), and ST17 S. Indiana (n = 5). Resistance was most commonly found to tetracycline (82.50 %), followed by to ampicillin (77.50 %), nalidixic acid (70.00 %), kanamycin (57.50 %), ceftriaxone (55.00 %), cefotaxime (52.50 %), cefoperazone (52.50 %), chloramphenicol (50.00 %), levofloxacin (57.50 %), cefotaxime (52.50 %), kanamycin (52.50 %), chloramphenicol (50.00 %), ciprofloxacin (50.00 %), and levofloxacin (50.00 %). All ST198 S. Kentucky isolates showed multi-drug resistance (MDR; ≥3 antimicrobial categories) pattern. Genomic analysis showed 56 distinct antibiotic resistance genes (ARGs) and 6 target gene mutations of quinolone resistance determining regions (QRDRs) in 40 Salmonella isolates, among which, the most prevalent ARG types were related to aminoglycosides and β-lactams resistance, and the most frequent mutation in QRDRs was GyrA (S83F) (47.5 %). The number of ARGs in Salmonella isolates showed a significant positive correlation with the numbers of insert sequences (ISs) and plasmid replicons. Taken together, our findings indicated retail chickens were seriously contaminated, while pork and beef are rarely contaminated by Salmonella. Antibiotic resistance determinants and genetic relationships of the isolates provide crucial data for food safety and public health safeguarding.
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Affiliation(s)
- Huanjing Sheng
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jia Suo
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jinghan Dai
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Siyue Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Mei Li
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Li Su
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Mengyuan Cao
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yanwei Cao
- Hebei Quality Inspection and Testing Center of Forest, Grass and Flower, Shijiazhuang 050081, China
| | - Jia Chen
- College of Chemical Technology, Shijiazhuang University, Shijiazhuang 050035, China.
| | - Shenghui Cui
- National Institutes for Food and Drug Control, Beijing 100050, China.
| | - Baowei Yang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China; Shaanxi Engineering Research Centre of Dairy Products Quality, Safety and Health, Yangling, Shaanxi 712100, China.
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Oscar TP. Poultry Food Assess Risk Model for Salmonella and Chicken Gizzards: I. Initial Contamination. J Food Prot 2023; 86:100036. [PMID: 36916573 DOI: 10.1016/j.jfp.2022.100036] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 12/02/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023]
Abstract
The Poultry Food Assess Risk Model (PFARM) project was initiated in 1995 to develop data collection and modeling methods for simulating the risk of salmonellosis from poultry food produced by individual production chains. In the present study, the Initial Contamination (IC) step of PFARM for Salmonella and chicken gizzards (CG) was conducted as a case study. Salmonella prevalence (Pr), number (N), and serotype/zoonotic potential (ZP) data (n = 100) for one sample size (56 g) of CG were collected at meal preparation (MP), and then Monte Carlo simulation (MCS) was used to obtain data for other sample sizes (112, 168, 224, 280 g). The PFARM was developed in Excel and was simulated with @Risk. Data were simulated using a moving window of 60 samples to determine how Salmonella Pr, N, and ZP changed over time in the production chain. The ability of Salmonella to survive, grow, and spread in the production chain and food, and then cause disease in humans was ZP, which was based on U. S. Centers for Disease Control and Prevention data for salmonellosis. Of 100 CG samples tested, 35 were contaminated with Salmonella with N from 0 to 0.809 (median) to 2.788 log per 56 g. Salmonella serotype Pr per 56 g was 16% for Kentucky (ZPmode = 1.1), 9% for Infantis (ZPmode = 4.4), 6% for Enteritidis (ZPmode = 5.0), 3% for Typhimurium (ZPmode = 4.9), and 1% for Thompson (ZPmode = 3.7). Results from MCS indicated that Salmonella Pr, N, and ZP among portions of CG at MP changed (P ≤ 0.05) over time in the production chain. Notably, the main serotype changed from Kentucky (low ZP) to Infantis (high ZP). However, the pattern of change for Salmonella Pr, N, and ZP differed over time in the production chain and by the statistic used to characterize it. Thus, a performance standard (PS) based on Salmonella Pr, N, or ZP at testing or MP will likely not be a good indicator of poultry food safety or risk of salmonellosis.
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Affiliation(s)
- Thomas P Oscar
- United States Department of Agriculture, Agricultural Research Service, Northeast Area, Eastern Regional Research Center, Chemical Residue and Predictive Microbiology Research Unit, University of Maryland Eastern Shore Worksite, Room 2111, Center for Food Science and Technology, Princess Anne, MD 21853, USA.
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Guard J, Jones DR, Gast RK, Garcia JS, Rothrock MJ. Serotype Screening of Salmonella enterica Subspecies I by Intergenic Sequence Ribotyping (ISR): Critical Updates. Microorganisms 2022; 11:microorganisms11010097. [PMID: 36677389 PMCID: PMC9863722 DOI: 10.3390/microorganisms11010097] [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: 09/26/2022] [Revised: 12/20/2022] [Accepted: 12/21/2022] [Indexed: 01/03/2023] Open
Abstract
(1) Background: Foodborne illness from Salmonella enterica subspecies I is most associated with approximately 32 out of 1600 serotypes. While whole genome sequencing and other nucleic acid-based methods are preferred for serotyping, they require expertise in bioinformatics and often submission to an external agency. Intergenic Sequence Ribotyping (ISR) assigns serotype to Salmonella in coordination with information freely available at the National Center for Biotechnology Information. ISR requires updating because it was developed from 26 genomes while there are now currently 1804 genomes and 1685 plasmids. (2) Methods: Serotypes available for sequencing were analyzed by ISR to confirm primer efficacy and to identify any issues in application. Differences between the 2012 and 2022 ISR database were tabulated, nomenclature edited, and instances of multiple serotypes aligning to a single ISR were examined. (3) Results: The 2022 ISR database has 268 sequences and 40 of these were assigned new NCBI accession numbers that were not previously available. Extending boundaries of sequences resolved hdfR cross-alignment and reduced multiplicity of alignment for 37 ISRs. Comparison of gene cyaA sequences and some cell surface epitopes provided evidence that homologous recombination was potentially impacting results for this subset. There were 99 sequences that still had no match with an NCBI submission. (4) The 2022 ISR database is available for use as a serotype screening method for Salmonella enterica subspecies I. Finding that 36.9% of the sequences in the ISR database still have no match within the NCBI Salmonella enterica database suggests that there is more genomic heterogeneity yet to characterize.
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Affiliation(s)
- Jean Guard
- Correspondence: ; Tel.: +1-706-546-3131 or +1-706-546-3445
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Xiong D, Yuan L, Song L, Jiao X, Pan Z. A new multiplex PCR for the accurate identification and differentiation of Salmonella enterica serovar Gallinarum biovars Pullorum and Gallinarum. Front Microbiol 2022; 13:983942. [PMID: 36147848 PMCID: PMC9485580 DOI: 10.3389/fmicb.2022.983942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 08/22/2022] [Indexed: 11/25/2022] Open
Abstract
Salmonella enterica serovar Gallinarum biovars Gallinarum and Pullorum cause severe chicken salmonellosis, a disease associated with high mortality and morbidity among chickens worldwide. The conventional serotyping and biochemical reactions have been used to identify Salmonella serovars. However, the conventional methods are complicated, time-consuming, laborious, and expensive. Furthermore, it is challenging to distinguish S. Gallinarum and S. Pullorum via biochemical assays and serotyping because of their antigenic similarity. Although various PCR methods were established, a PCR protocol to detect and discriminate S. Gallinarum and S. Pullorum simultaneously is lacking. Herein, a one-step multiplex PCR method was established for the accurate identification and discrimination of S. Pullorum and S. Gallinarum. Three specific genes were used for the multiplex PCR method, with the I137_14445 and ybgL genes being the key targets to identify and differentiate S. Gallinarum and S. Pullorum, and stn being included as a reference gene for the Salmonella genus. In silico analysis showed that the I137_14445 gene is present in all Salmonella serovars, except for S. Gallinarum, and could therefore be used for the identification of S. Gallinarum. A 68-bp sequence deficiency in ybgL was found only in S. Pullorum compared to other Salmonella serovars, and this could therefore be used for the specific identification of S. Pullorum. The developed PCR assay was able to distinguish S. Gallinarum and S. Pullorum among 75 various Salmonella strains and 43 various non-Salmonella pathogens with excellent specificity. The detection limit for the genomic DNA of S. Gallinarum and S. Pullorum was 21.4 pg./μL, and the detectable limit for bacterial cells was 100 CFU. The developed PCR method was used for the analysis of Salmonella isolates in a chicken farm. This PCR system successfully discriminated S. Gallinarum and S. Pullorum from other different Salmonella serovars. The PCR results were confirmed by the conventional serotyping method. The newly established multiplex PCR is a simple, accurate, and cost-effective method for the timely identification and differentiation of S. Pullorum and S. Gallinarum.
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Affiliation(s)
- Dan Xiong
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture of China, Yangzhou University, Yangzhou, Jiangsu, China
- Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Li Yuan
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture of China, Yangzhou University, Yangzhou, Jiangsu, China
- Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Li Song
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture of China, Yangzhou University, Yangzhou, Jiangsu, China
- Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Xinan Jiao
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture of China, Yangzhou University, Yangzhou, Jiangsu, China
- Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education, Yangzhou University, Yangzhou, Jiangsu, China
- *Correspondence: Xinan Jiao,
| | - Zhiming Pan
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture of China, Yangzhou University, Yangzhou, Jiangsu, China
- Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education, Yangzhou University, Yangzhou, Jiangsu, China
- Zhiming Pan,
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