ComBase Models Are Valid for Predicting Fate of Listeria monocytogenes on 10 Whole Intact Raw Fruits and Vegetables
Listeria monocytogenes was associated with more than 60 produce recalls, including tomato, cherry, broccoli, lemon, and lime, between 2017 and 2020. This study describes the effects of temperature, time, and food substrate as factors influencing L. monocytogenes behavior on whole intact raw fruits a...
Gespeichert in:
Veröffentlicht in: | Journal of food protection 2021-04, Vol.84 (4), p.597-610 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 610 |
---|---|
container_issue | 4 |
container_start_page | 597 |
container_title | Journal of food protection |
container_volume | 84 |
creator | Girbal, Marina Strawn, Laura K Murphy, Claire M Bardsley, Cameron A Schaffner, Donald W |
description | Listeria monocytogenes was associated with more than 60 produce recalls, including tomato, cherry, broccoli, lemon, and lime, between 2017 and 2020. This study describes the effects of temperature, time, and food substrate as factors influencing L. monocytogenes behavior on whole intact raw fruits and vegetables. Ten intact whole fruit and vegetable commodities were chosen based on data gaps identified in a systematic literature review. Produce investigated belong to major commodity families: Ericaceae (blackberry, raspberry, and blueberry), Rutaceae (lemon and mandarin orange), Roseaceae (sweet cherry), Solanaceae (tomato), Brassaceae (cauliflower and broccoli), and Apiaceae (carrot). A cocktail of five L. monocytogenes strains that included clinical, food, or environmental isolates linked to foodborne outbreaks was used to inoculate intact whole fruits and vegetables. Samples were incubated at 2, 12, 22, 30, and 35°C with relative humidities matched to typical real-world conditions. Foods were sampled (n = 6) for up to 28 days, depending on temperature. Growth and decline rates were estimated using DMFit, an Excel add-in. Growth rates were compared with ComBase modeling predictions for L. monocytogenes. Almost every experiment showed initial growth, followed by subsequent decline. L. monocytogenes was able to grow on the whole intact surface of all produce tested, except for carrot. The 10 produce commodities supported growth of L. monocytogenes at 22 and 35°C. Growth and survival at 2 and 12°C varied by produce commodity. The standard deviation of the square root growth and decline rates showed significantly larger variability in both growth and decline rates within replicates as temperature increased. When L. monocytogenes growth occurred, it was conservatively modeled by ComBase Predictor, and growth was generally followed by decreases in concentration. This research will assist in understanding the risks of foodborne disease outbreaks and recalls associated with L. monocytogenes on fresh whole produce. |
doi_str_mv | 10.4315/JFP-20-327 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2654381502</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2654381502</sourcerecordid><originalsourceid>FETCH-LOGICAL-c351t-c10b99f6592256b0f5fde9a6e828d1d0e2434f740513400677446ed0d8a1bff63</originalsourceid><addsrcrecordid>eNo9kM1KHEEURosQiaNxkweQC9kJHW_9dvfSDI6ZMOIgUbNrqrtujS09XVpVg_j2dtC4-jaH88Fh7BvHH0pyffp7sS4EFlKUn9iM10oVNdblZzZDaUSBovq7zw5SekBEUQvzhe1LKaRQWsxYmoftT5sILoOjIcFZJLi1Q-_AhwjrSK7vcj9uYGEzQfCw6lOm2FvYhjF0LzlsaKQEYQSOcHcfBoLlmG2X4do-wyLu-pzAjg5uaUPZtgOlr2zP2yHR0fsespvF-Z_5r2J1dbGcn62KTmqei45jW9fe6FoIbVr02juqraFKVI47JKGk8qVCzaVCNGWplCGHrrK89d7IQ_b9zfsYw9OOUm4ewi6O02UjjFay4hrFRJ28UV0MKUXyzWPstza-NBybf32bqW8jsJn6TvDxu3LXbsl9oP-DyleqeHPt</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2654381502</pqid></control><display><type>article</type><title>ComBase Models Are Valid for Predicting Fate of Listeria monocytogenes on 10 Whole Intact Raw Fruits and Vegetables</title><source>MEDLINE</source><source>EZB-FREE-00999 freely available EZB journals</source><source>ProQuest Central UK/Ireland</source><source>Alma/SFX Local Collection</source><creator>Girbal, Marina ; Strawn, Laura K ; Murphy, Claire M ; Bardsley, Cameron A ; Schaffner, Donald W</creator><creatorcontrib>Girbal, Marina ; Strawn, Laura K ; Murphy, Claire M ; Bardsley, Cameron A ; Schaffner, Donald W</creatorcontrib><description>Listeria monocytogenes was associated with more than 60 produce recalls, including tomato, cherry, broccoli, lemon, and lime, between 2017 and 2020. This study describes the effects of temperature, time, and food substrate as factors influencing L. monocytogenes behavior on whole intact raw fruits and vegetables. Ten intact whole fruit and vegetable commodities were chosen based on data gaps identified in a systematic literature review. Produce investigated belong to major commodity families: Ericaceae (blackberry, raspberry, and blueberry), Rutaceae (lemon and mandarin orange), Roseaceae (sweet cherry), Solanaceae (tomato), Brassaceae (cauliflower and broccoli), and Apiaceae (carrot). A cocktail of five L. monocytogenes strains that included clinical, food, or environmental isolates linked to foodborne outbreaks was used to inoculate intact whole fruits and vegetables. Samples were incubated at 2, 12, 22, 30, and 35°C with relative humidities matched to typical real-world conditions. Foods were sampled (n = 6) for up to 28 days, depending on temperature. Growth and decline rates were estimated using DMFit, an Excel add-in. Growth rates were compared with ComBase modeling predictions for L. monocytogenes. Almost every experiment showed initial growth, followed by subsequent decline. L. monocytogenes was able to grow on the whole intact surface of all produce tested, except for carrot. The 10 produce commodities supported growth of L. monocytogenes at 22 and 35°C. Growth and survival at 2 and 12°C varied by produce commodity. The standard deviation of the square root growth and decline rates showed significantly larger variability in both growth and decline rates within replicates as temperature increased. When L. monocytogenes growth occurred, it was conservatively modeled by ComBase Predictor, and growth was generally followed by decreases in concentration. This research will assist in understanding the risks of foodborne disease outbreaks and recalls associated with L. monocytogenes on fresh whole produce.</description><identifier>ISSN: 0362-028X</identifier><identifier>EISSN: 1944-9097</identifier><identifier>DOI: 10.4315/JFP-20-327</identifier><identifier>PMID: 33232452</identifier><language>eng</language><publisher>United States: Elsevier Limited</publisher><subject>Antibiotics ; Brassica ; Broccoli ; Citrus fruits ; Colony Count, Microbial ; Commodities ; Cultivars ; Epidemics ; Food ; Food contamination & poisoning ; Food Handling ; Food Microbiology ; Food safety ; Foodborne diseases ; Fruit ; Fruits ; Humans ; Illnesses ; Listeria ; Listeria monocytogenes ; Literature reviews ; Mandarins ; Outbreaks ; Plant growth ; Product recalls ; Relative humidity ; Substrates ; Temperature ; Temperature effects ; Tomatoes ; Vegetables</subject><ispartof>Journal of food protection, 2021-04, Vol.84 (4), p.597-610</ispartof><rights>Copyright ©, International Association for Food Protection.</rights><rights>Copyright Allen Press Inc. Apr 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c351t-c10b99f6592256b0f5fde9a6e828d1d0e2434f740513400677446ed0d8a1bff63</citedby><cites>FETCH-LOGICAL-c351t-c10b99f6592256b0f5fde9a6e828d1d0e2434f740513400677446ed0d8a1bff63</cites><orcidid>0000-0001-9200-0400</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2654381502?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,64384,64388,72340</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33232452$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Girbal, Marina</creatorcontrib><creatorcontrib>Strawn, Laura K</creatorcontrib><creatorcontrib>Murphy, Claire M</creatorcontrib><creatorcontrib>Bardsley, Cameron A</creatorcontrib><creatorcontrib>Schaffner, Donald W</creatorcontrib><title>ComBase Models Are Valid for Predicting Fate of Listeria monocytogenes on 10 Whole Intact Raw Fruits and Vegetables</title><title>Journal of food protection</title><addtitle>J Food Prot</addtitle><description>Listeria monocytogenes was associated with more than 60 produce recalls, including tomato, cherry, broccoli, lemon, and lime, between 2017 and 2020. This study describes the effects of temperature, time, and food substrate as factors influencing L. monocytogenes behavior on whole intact raw fruits and vegetables. Ten intact whole fruit and vegetable commodities were chosen based on data gaps identified in a systematic literature review. Produce investigated belong to major commodity families: Ericaceae (blackberry, raspberry, and blueberry), Rutaceae (lemon and mandarin orange), Roseaceae (sweet cherry), Solanaceae (tomato), Brassaceae (cauliflower and broccoli), and Apiaceae (carrot). A cocktail of five L. monocytogenes strains that included clinical, food, or environmental isolates linked to foodborne outbreaks was used to inoculate intact whole fruits and vegetables. Samples were incubated at 2, 12, 22, 30, and 35°C with relative humidities matched to typical real-world conditions. Foods were sampled (n = 6) for up to 28 days, depending on temperature. Growth and decline rates were estimated using DMFit, an Excel add-in. Growth rates were compared with ComBase modeling predictions for L. monocytogenes. Almost every experiment showed initial growth, followed by subsequent decline. L. monocytogenes was able to grow on the whole intact surface of all produce tested, except for carrot. The 10 produce commodities supported growth of L. monocytogenes at 22 and 35°C. Growth and survival at 2 and 12°C varied by produce commodity. The standard deviation of the square root growth and decline rates showed significantly larger variability in both growth and decline rates within replicates as temperature increased. When L. monocytogenes growth occurred, it was conservatively modeled by ComBase Predictor, and growth was generally followed by decreases in concentration. This research will assist in understanding the risks of foodborne disease outbreaks and recalls associated with L. monocytogenes on fresh whole produce.</description><subject>Antibiotics</subject><subject>Brassica</subject><subject>Broccoli</subject><subject>Citrus fruits</subject><subject>Colony Count, Microbial</subject><subject>Commodities</subject><subject>Cultivars</subject><subject>Epidemics</subject><subject>Food</subject><subject>Food contamination & poisoning</subject><subject>Food Handling</subject><subject>Food Microbiology</subject><subject>Food safety</subject><subject>Foodborne diseases</subject><subject>Fruit</subject><subject>Fruits</subject><subject>Humans</subject><subject>Illnesses</subject><subject>Listeria</subject><subject>Listeria monocytogenes</subject><subject>Literature reviews</subject><subject>Mandarins</subject><subject>Outbreaks</subject><subject>Plant growth</subject><subject>Product recalls</subject><subject>Relative humidity</subject><subject>Substrates</subject><subject>Temperature</subject><subject>Temperature effects</subject><subject>Tomatoes</subject><subject>Vegetables</subject><issn>0362-028X</issn><issn>1944-9097</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNo9kM1KHEEURosQiaNxkweQC9kJHW_9dvfSDI6ZMOIgUbNrqrtujS09XVpVg_j2dtC4-jaH88Fh7BvHH0pyffp7sS4EFlKUn9iM10oVNdblZzZDaUSBovq7zw5SekBEUQvzhe1LKaRQWsxYmoftT5sILoOjIcFZJLi1Q-_AhwjrSK7vcj9uYGEzQfCw6lOm2FvYhjF0LzlsaKQEYQSOcHcfBoLlmG2X4do-wyLu-pzAjg5uaUPZtgOlr2zP2yHR0fsespvF-Z_5r2J1dbGcn62KTmqei45jW9fe6FoIbVr02juqraFKVI47JKGk8qVCzaVCNGWplCGHrrK89d7IQ_b9zfsYw9OOUm4ewi6O02UjjFay4hrFRJ28UV0MKUXyzWPstza-NBybf32bqW8jsJn6TvDxu3LXbsl9oP-DyleqeHPt</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Girbal, Marina</creator><creator>Strawn, Laura K</creator><creator>Murphy, Claire M</creator><creator>Bardsley, Cameron A</creator><creator>Schaffner, Donald W</creator><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RQ</scope><scope>7WY</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>883</scope><scope>88E</scope><scope>88I</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0F</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-9200-0400</orcidid></search><sort><creationdate>20210401</creationdate><title>ComBase Models Are Valid for Predicting Fate of Listeria monocytogenes on 10 Whole Intact Raw Fruits and Vegetables</title><author>Girbal, Marina ; Strawn, Laura K ; Murphy, Claire M ; Bardsley, Cameron A ; Schaffner, Donald W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c351t-c10b99f6592256b0f5fde9a6e828d1d0e2434f740513400677446ed0d8a1bff63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Antibiotics</topic><topic>Brassica</topic><topic>Broccoli</topic><topic>Citrus fruits</topic><topic>Colony Count, Microbial</topic><topic>Commodities</topic><topic>Cultivars</topic><topic>Epidemics</topic><topic>Food</topic><topic>Food contamination & poisoning</topic><topic>Food Handling</topic><topic>Food Microbiology</topic><topic>Food safety</topic><topic>Foodborne diseases</topic><topic>Fruit</topic><topic>Fruits</topic><topic>Humans</topic><topic>Illnesses</topic><topic>Listeria</topic><topic>Listeria monocytogenes</topic><topic>Literature reviews</topic><topic>Mandarins</topic><topic>Outbreaks</topic><topic>Plant growth</topic><topic>Product recalls</topic><topic>Relative humidity</topic><topic>Substrates</topic><topic>Temperature</topic><topic>Temperature effects</topic><topic>Tomatoes</topic><topic>Vegetables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Girbal, Marina</creatorcontrib><creatorcontrib>Strawn, Laura K</creatorcontrib><creatorcontrib>Murphy, Claire M</creatorcontrib><creatorcontrib>Bardsley, Cameron A</creatorcontrib><creatorcontrib>Schaffner, Donald W</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Career & Technical Education Database</collection><collection>ABI/INFORM Collection</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Trade & Industry (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Trade & Industry</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of food protection</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Girbal, Marina</au><au>Strawn, Laura K</au><au>Murphy, Claire M</au><au>Bardsley, Cameron A</au><au>Schaffner, Donald W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ComBase Models Are Valid for Predicting Fate of Listeria monocytogenes on 10 Whole Intact Raw Fruits and Vegetables</atitle><jtitle>Journal of food protection</jtitle><addtitle>J Food Prot</addtitle><date>2021-04-01</date><risdate>2021</risdate><volume>84</volume><issue>4</issue><spage>597</spage><epage>610</epage><pages>597-610</pages><issn>0362-028X</issn><eissn>1944-9097</eissn><abstract>Listeria monocytogenes was associated with more than 60 produce recalls, including tomato, cherry, broccoli, lemon, and lime, between 2017 and 2020. This study describes the effects of temperature, time, and food substrate as factors influencing L. monocytogenes behavior on whole intact raw fruits and vegetables. Ten intact whole fruit and vegetable commodities were chosen based on data gaps identified in a systematic literature review. Produce investigated belong to major commodity families: Ericaceae (blackberry, raspberry, and blueberry), Rutaceae (lemon and mandarin orange), Roseaceae (sweet cherry), Solanaceae (tomato), Brassaceae (cauliflower and broccoli), and Apiaceae (carrot). A cocktail of five L. monocytogenes strains that included clinical, food, or environmental isolates linked to foodborne outbreaks was used to inoculate intact whole fruits and vegetables. Samples were incubated at 2, 12, 22, 30, and 35°C with relative humidities matched to typical real-world conditions. Foods were sampled (n = 6) for up to 28 days, depending on temperature. Growth and decline rates were estimated using DMFit, an Excel add-in. Growth rates were compared with ComBase modeling predictions for L. monocytogenes. Almost every experiment showed initial growth, followed by subsequent decline. L. monocytogenes was able to grow on the whole intact surface of all produce tested, except for carrot. The 10 produce commodities supported growth of L. monocytogenes at 22 and 35°C. Growth and survival at 2 and 12°C varied by produce commodity. The standard deviation of the square root growth and decline rates showed significantly larger variability in both growth and decline rates within replicates as temperature increased. When L. monocytogenes growth occurred, it was conservatively modeled by ComBase Predictor, and growth was generally followed by decreases in concentration. This research will assist in understanding the risks of foodborne disease outbreaks and recalls associated with L. monocytogenes on fresh whole produce.</abstract><cop>United States</cop><pub>Elsevier Limited</pub><pmid>33232452</pmid><doi>10.4315/JFP-20-327</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-9200-0400</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0362-028X |
ispartof | Journal of food protection, 2021-04, Vol.84 (4), p.597-610 |
issn | 0362-028X 1944-9097 |
language | eng |
recordid | cdi_proquest_journals_2654381502 |
source | MEDLINE; EZB-FREE-00999 freely available EZB journals; ProQuest Central UK/Ireland; Alma/SFX Local Collection |
subjects | Antibiotics Brassica Broccoli Citrus fruits Colony Count, Microbial Commodities Cultivars Epidemics Food Food contamination & poisoning Food Handling Food Microbiology Food safety Foodborne diseases Fruit Fruits Humans Illnesses Listeria Listeria monocytogenes Literature reviews Mandarins Outbreaks Plant growth Product recalls Relative humidity Substrates Temperature Temperature effects Tomatoes Vegetables |
title | ComBase Models Are Valid for Predicting Fate of Listeria monocytogenes on 10 Whole Intact Raw Fruits and Vegetables |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T15%3A41%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=ComBase%20Models%20Are%20Valid%20for%20Predicting%20Fate%20of%20Listeria%20monocytogenes%20on%2010%20Whole%20Intact%20Raw%20Fruits%20and%20Vegetables&rft.jtitle=Journal%20of%20food%20protection&rft.au=Girbal,%20Marina&rft.date=2021-04-01&rft.volume=84&rft.issue=4&rft.spage=597&rft.epage=610&rft.pages=597-610&rft.issn=0362-028X&rft.eissn=1944-9097&rft_id=info:doi/10.4315/JFP-20-327&rft_dat=%3Cproquest_cross%3E2654381502%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2654381502&rft_id=info:pmid/33232452&rfr_iscdi=true |