Use of bentonite-coated activated carbon for improving the sensitivity of RT-qPCR detection of norovirus from vegetables and fruits: The ISO 15216-1:2017 standard method extension
Produce-related foodborne outbreaks are becoming increasingly prevalent worldwide. In plant tissues, various compounds, including polysaccharides, phenolic compounds, and chlorophyll, can inhibit RT-PCR detection of viruses. In this study, we developed a highly sensitive RT-qPCR in combination with...
Ausführliche Beschreibung
Autor*in: |
Tang, Mengxuan [verfasserIn] Liao, Ningbo [verfasserIn] Tian, Peng [verfasserIn] Shen, Kaisheng [verfasserIn] Liu, Chengwei [verfasserIn] Ruan, Lu [verfasserIn] Wu, Guoping [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Food microbiology - London : Academic Press, 1984, 110 |
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Übergeordnetes Werk: |
volume:110 |
DOI / URN: |
10.1016/j.fm.2022.104165 |
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Katalog-ID: |
ELV008890544 |
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245 | 1 | 0 | |a Use of bentonite-coated activated carbon for improving the sensitivity of RT-qPCR detection of norovirus from vegetables and fruits: The ISO 15216-1:2017 standard method extension |
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520 | |a Produce-related foodborne outbreaks are becoming increasingly prevalent worldwide. In plant tissues, various compounds, including polysaccharides, phenolic compounds, and chlorophyll, can inhibit RT-PCR detection of viruses. In this study, we developed a highly sensitive RT-qPCR in combination with the bentonite-coated activated carbon (BCAC) assay for detection of norovirus from fruits and vegetables, which could be completed within 7 h and was about 10–100 fold more sensitive than the standard procedures (ISO 15216-1:2017). The extraction efficiencies of three surrogate viruses (MS2, MNV-1, and TV) from five fresh produce (lettuce, cherry tomato, blueberry, strawberry, and spinach) were higher with BCAC treatment than those of control groups, ranging from 17.82% to 98.60%. The average detection limit of these viruses using the BCAC-RT-qPCR method was stable at an average of 102 PFU/g or GC/g. Finally, this BCAC-RT-qPCR method was applied for detection of human norovirus GII.4 spiked onto lettuce and cherry tomato. The viral extraction efficiencies were up to 53.43% and 95.56%, respectively, which is almost four and seven times better than those without BCAC. Therefore, the BCAC-RT-qPCR method can be used to detect low levels of foodborne viruses from produce. | ||
650 | 4 | |a Norovirus | |
650 | 4 | |a Virus elution | |
650 | 4 | |a Bentonite coated activated carbon (BCAC) | |
650 | 4 | |a Extraction efficiency | |
650 | 4 | |a RT-qPCR | |
650 | 4 | |a Fresh produce | |
700 | 1 | |a Liao, Ningbo |e verfasserin |0 (orcid)0000-0003-1914-2319 |4 aut | |
700 | 1 | |a Tian, Peng |e verfasserin |4 aut | |
700 | 1 | |a Shen, Kaisheng |e verfasserin |4 aut | |
700 | 1 | |a Liu, Chengwei |e verfasserin |4 aut | |
700 | 1 | |a Ruan, Lu |e verfasserin |4 aut | |
700 | 1 | |a Wu, Guoping |e verfasserin |4 aut | |
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912 | |a GBV_ILN_101 | ||
912 | |a GBV_ILN_105 | ||
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912 | |a GBV_ILN_151 | ||
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912 | |a GBV_ILN_2027 | ||
912 | |a GBV_ILN_2034 | ||
912 | |a GBV_ILN_2038 | ||
912 | |a GBV_ILN_2044 | ||
912 | |a GBV_ILN_2048 | ||
912 | |a GBV_ILN_2049 | ||
912 | |a GBV_ILN_2050 | ||
912 | |a GBV_ILN_2056 | ||
912 | |a GBV_ILN_2059 | ||
912 | |a GBV_ILN_2061 | ||
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912 | |a GBV_ILN_2129 | ||
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912 | |a GBV_ILN_2522 | ||
912 | |a GBV_ILN_4035 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4242 | ||
912 | |a GBV_ILN_4251 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4326 | ||
912 | |a GBV_ILN_4333 | ||
912 | |a GBV_ILN_4334 | ||
912 | |a GBV_ILN_4335 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4393 | ||
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10.1016/j.fm.2022.104165 doi (DE-627)ELV008890544 (ELSEVIER)S0740-0020(22)00189-7 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.30 bkl 58.34 bkl Tang, Mengxuan verfasserin aut Use of bentonite-coated activated carbon for improving the sensitivity of RT-qPCR detection of norovirus from vegetables and fruits: The ISO 15216-1:2017 standard method extension 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Produce-related foodborne outbreaks are becoming increasingly prevalent worldwide. In plant tissues, various compounds, including polysaccharides, phenolic compounds, and chlorophyll, can inhibit RT-PCR detection of viruses. In this study, we developed a highly sensitive RT-qPCR in combination with the bentonite-coated activated carbon (BCAC) assay for detection of norovirus from fruits and vegetables, which could be completed within 7 h and was about 10–100 fold more sensitive than the standard procedures (ISO 15216-1:2017). The extraction efficiencies of three surrogate viruses (MS2, MNV-1, and TV) from five fresh produce (lettuce, cherry tomato, blueberry, strawberry, and spinach) were higher with BCAC treatment than those of control groups, ranging from 17.82% to 98.60%. The average detection limit of these viruses using the BCAC-RT-qPCR method was stable at an average of 102 PFU/g or GC/g. Finally, this BCAC-RT-qPCR method was applied for detection of human norovirus GII.4 spiked onto lettuce and cherry tomato. The viral extraction efficiencies were up to 53.43% and 95.56%, respectively, which is almost four and seven times better than those without BCAC. Therefore, the BCAC-RT-qPCR method can be used to detect low levels of foodborne viruses from produce. Norovirus Virus elution Bentonite coated activated carbon (BCAC) Extraction efficiency RT-qPCR Fresh produce Liao, Ningbo verfasserin (orcid)0000-0003-1914-2319 aut Tian, Peng verfasserin aut Shen, Kaisheng verfasserin aut Liu, Chengwei verfasserin aut Ruan, Lu verfasserin aut Wu, Guoping verfasserin aut Enthalten in Food microbiology London : Academic Press, 1984 110 Online-Ressource (DE-627)266877214 (DE-600)1467522-5 (DE-576)253761492 1095-9998 nnns volume:110 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 42.30 Mikrobiologie VZ 58.34 Lebensmitteltechnologie VZ AR 110 |
spelling |
10.1016/j.fm.2022.104165 doi (DE-627)ELV008890544 (ELSEVIER)S0740-0020(22)00189-7 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.30 bkl 58.34 bkl Tang, Mengxuan verfasserin aut Use of bentonite-coated activated carbon for improving the sensitivity of RT-qPCR detection of norovirus from vegetables and fruits: The ISO 15216-1:2017 standard method extension 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Produce-related foodborne outbreaks are becoming increasingly prevalent worldwide. In plant tissues, various compounds, including polysaccharides, phenolic compounds, and chlorophyll, can inhibit RT-PCR detection of viruses. In this study, we developed a highly sensitive RT-qPCR in combination with the bentonite-coated activated carbon (BCAC) assay for detection of norovirus from fruits and vegetables, which could be completed within 7 h and was about 10–100 fold more sensitive than the standard procedures (ISO 15216-1:2017). The extraction efficiencies of three surrogate viruses (MS2, MNV-1, and TV) from five fresh produce (lettuce, cherry tomato, blueberry, strawberry, and spinach) were higher with BCAC treatment than those of control groups, ranging from 17.82% to 98.60%. The average detection limit of these viruses using the BCAC-RT-qPCR method was stable at an average of 102 PFU/g or GC/g. Finally, this BCAC-RT-qPCR method was applied for detection of human norovirus GII.4 spiked onto lettuce and cherry tomato. The viral extraction efficiencies were up to 53.43% and 95.56%, respectively, which is almost four and seven times better than those without BCAC. Therefore, the BCAC-RT-qPCR method can be used to detect low levels of foodborne viruses from produce. Norovirus Virus elution Bentonite coated activated carbon (BCAC) Extraction efficiency RT-qPCR Fresh produce Liao, Ningbo verfasserin (orcid)0000-0003-1914-2319 aut Tian, Peng verfasserin aut Shen, Kaisheng verfasserin aut Liu, Chengwei verfasserin aut Ruan, Lu verfasserin aut Wu, Guoping verfasserin aut Enthalten in Food microbiology London : Academic Press, 1984 110 Online-Ressource (DE-627)266877214 (DE-600)1467522-5 (DE-576)253761492 1095-9998 nnns volume:110 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 42.30 Mikrobiologie VZ 58.34 Lebensmitteltechnologie VZ AR 110 |
allfields_unstemmed |
10.1016/j.fm.2022.104165 doi (DE-627)ELV008890544 (ELSEVIER)S0740-0020(22)00189-7 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.30 bkl 58.34 bkl Tang, Mengxuan verfasserin aut Use of bentonite-coated activated carbon for improving the sensitivity of RT-qPCR detection of norovirus from vegetables and fruits: The ISO 15216-1:2017 standard method extension 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Produce-related foodborne outbreaks are becoming increasingly prevalent worldwide. In plant tissues, various compounds, including polysaccharides, phenolic compounds, and chlorophyll, can inhibit RT-PCR detection of viruses. In this study, we developed a highly sensitive RT-qPCR in combination with the bentonite-coated activated carbon (BCAC) assay for detection of norovirus from fruits and vegetables, which could be completed within 7 h and was about 10–100 fold more sensitive than the standard procedures (ISO 15216-1:2017). The extraction efficiencies of three surrogate viruses (MS2, MNV-1, and TV) from five fresh produce (lettuce, cherry tomato, blueberry, strawberry, and spinach) were higher with BCAC treatment than those of control groups, ranging from 17.82% to 98.60%. The average detection limit of these viruses using the BCAC-RT-qPCR method was stable at an average of 102 PFU/g or GC/g. Finally, this BCAC-RT-qPCR method was applied for detection of human norovirus GII.4 spiked onto lettuce and cherry tomato. The viral extraction efficiencies were up to 53.43% and 95.56%, respectively, which is almost four and seven times better than those without BCAC. Therefore, the BCAC-RT-qPCR method can be used to detect low levels of foodborne viruses from produce. Norovirus Virus elution Bentonite coated activated carbon (BCAC) Extraction efficiency RT-qPCR Fresh produce Liao, Ningbo verfasserin (orcid)0000-0003-1914-2319 aut Tian, Peng verfasserin aut Shen, Kaisheng verfasserin aut Liu, Chengwei verfasserin aut Ruan, Lu verfasserin aut Wu, Guoping verfasserin aut Enthalten in Food microbiology London : Academic Press, 1984 110 Online-Ressource (DE-627)266877214 (DE-600)1467522-5 (DE-576)253761492 1095-9998 nnns volume:110 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 42.30 Mikrobiologie VZ 58.34 Lebensmitteltechnologie VZ AR 110 |
allfieldsGer |
10.1016/j.fm.2022.104165 doi (DE-627)ELV008890544 (ELSEVIER)S0740-0020(22)00189-7 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.30 bkl 58.34 bkl Tang, Mengxuan verfasserin aut Use of bentonite-coated activated carbon for improving the sensitivity of RT-qPCR detection of norovirus from vegetables and fruits: The ISO 15216-1:2017 standard method extension 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Produce-related foodborne outbreaks are becoming increasingly prevalent worldwide. In plant tissues, various compounds, including polysaccharides, phenolic compounds, and chlorophyll, can inhibit RT-PCR detection of viruses. In this study, we developed a highly sensitive RT-qPCR in combination with the bentonite-coated activated carbon (BCAC) assay for detection of norovirus from fruits and vegetables, which could be completed within 7 h and was about 10–100 fold more sensitive than the standard procedures (ISO 15216-1:2017). The extraction efficiencies of three surrogate viruses (MS2, MNV-1, and TV) from five fresh produce (lettuce, cherry tomato, blueberry, strawberry, and spinach) were higher with BCAC treatment than those of control groups, ranging from 17.82% to 98.60%. The average detection limit of these viruses using the BCAC-RT-qPCR method was stable at an average of 102 PFU/g or GC/g. Finally, this BCAC-RT-qPCR method was applied for detection of human norovirus GII.4 spiked onto lettuce and cherry tomato. The viral extraction efficiencies were up to 53.43% and 95.56%, respectively, which is almost four and seven times better than those without BCAC. Therefore, the BCAC-RT-qPCR method can be used to detect low levels of foodborne viruses from produce. Norovirus Virus elution Bentonite coated activated carbon (BCAC) Extraction efficiency RT-qPCR Fresh produce Liao, Ningbo verfasserin (orcid)0000-0003-1914-2319 aut Tian, Peng verfasserin aut Shen, Kaisheng verfasserin aut Liu, Chengwei verfasserin aut Ruan, Lu verfasserin aut Wu, Guoping verfasserin aut Enthalten in Food microbiology London : Academic Press, 1984 110 Online-Ressource (DE-627)266877214 (DE-600)1467522-5 (DE-576)253761492 1095-9998 nnns volume:110 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 42.30 Mikrobiologie VZ 58.34 Lebensmitteltechnologie VZ AR 110 |
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10.1016/j.fm.2022.104165 doi (DE-627)ELV008890544 (ELSEVIER)S0740-0020(22)00189-7 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.30 bkl 58.34 bkl Tang, Mengxuan verfasserin aut Use of bentonite-coated activated carbon for improving the sensitivity of RT-qPCR detection of norovirus from vegetables and fruits: The ISO 15216-1:2017 standard method extension 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Produce-related foodborne outbreaks are becoming increasingly prevalent worldwide. In plant tissues, various compounds, including polysaccharides, phenolic compounds, and chlorophyll, can inhibit RT-PCR detection of viruses. In this study, we developed a highly sensitive RT-qPCR in combination with the bentonite-coated activated carbon (BCAC) assay for detection of norovirus from fruits and vegetables, which could be completed within 7 h and was about 10–100 fold more sensitive than the standard procedures (ISO 15216-1:2017). The extraction efficiencies of three surrogate viruses (MS2, MNV-1, and TV) from five fresh produce (lettuce, cherry tomato, blueberry, strawberry, and spinach) were higher with BCAC treatment than those of control groups, ranging from 17.82% to 98.60%. The average detection limit of these viruses using the BCAC-RT-qPCR method was stable at an average of 102 PFU/g or GC/g. Finally, this BCAC-RT-qPCR method was applied for detection of human norovirus GII.4 spiked onto lettuce and cherry tomato. The viral extraction efficiencies were up to 53.43% and 95.56%, respectively, which is almost four and seven times better than those without BCAC. Therefore, the BCAC-RT-qPCR method can be used to detect low levels of foodborne viruses from produce. Norovirus Virus elution Bentonite coated activated carbon (BCAC) Extraction efficiency RT-qPCR Fresh produce Liao, Ningbo verfasserin (orcid)0000-0003-1914-2319 aut Tian, Peng verfasserin aut Shen, Kaisheng verfasserin aut Liu, Chengwei verfasserin aut Ruan, Lu verfasserin aut Wu, Guoping verfasserin aut Enthalten in Food microbiology London : Academic Press, 1984 110 Online-Ressource (DE-627)266877214 (DE-600)1467522-5 (DE-576)253761492 1095-9998 nnns volume:110 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 42.30 Mikrobiologie VZ 58.34 Lebensmitteltechnologie VZ AR 110 |
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Tang, Mengxuan @@aut@@ Liao, Ningbo @@aut@@ Tian, Peng @@aut@@ Shen, Kaisheng @@aut@@ Liu, Chengwei @@aut@@ Ruan, Lu @@aut@@ Wu, Guoping @@aut@@ |
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570 VZ BIODIV DE-30 fid 42.30 bkl 58.34 bkl Use of bentonite-coated activated carbon for improving the sensitivity of RT-qPCR detection of norovirus from vegetables and fruits: The ISO 15216-1:2017 standard method extension Norovirus Virus elution Bentonite coated activated carbon (BCAC) Extraction efficiency RT-qPCR Fresh produce |
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Use of bentonite-coated activated carbon for improving the sensitivity of RT-qPCR detection of norovirus from vegetables and fruits: The ISO 15216-1:2017 standard method extension |
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Use of bentonite-coated activated carbon for improving the sensitivity of RT-qPCR detection of norovirus from vegetables and fruits: The ISO 15216-1:2017 standard method extension |
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Tang, Mengxuan Liao, Ningbo Tian, Peng Shen, Kaisheng Liu, Chengwei Ruan, Lu Wu, Guoping |
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use of bentonite-coated activated carbon for improving the sensitivity of rt-qpcr detection of norovirus from vegetables and fruits: the iso 15216-1:2017 standard method extension |
title_auth |
Use of bentonite-coated activated carbon for improving the sensitivity of RT-qPCR detection of norovirus from vegetables and fruits: The ISO 15216-1:2017 standard method extension |
abstract |
Produce-related foodborne outbreaks are becoming increasingly prevalent worldwide. In plant tissues, various compounds, including polysaccharides, phenolic compounds, and chlorophyll, can inhibit RT-PCR detection of viruses. In this study, we developed a highly sensitive RT-qPCR in combination with the bentonite-coated activated carbon (BCAC) assay for detection of norovirus from fruits and vegetables, which could be completed within 7 h and was about 10–100 fold more sensitive than the standard procedures (ISO 15216-1:2017). The extraction efficiencies of three surrogate viruses (MS2, MNV-1, and TV) from five fresh produce (lettuce, cherry tomato, blueberry, strawberry, and spinach) were higher with BCAC treatment than those of control groups, ranging from 17.82% to 98.60%. The average detection limit of these viruses using the BCAC-RT-qPCR method was stable at an average of 102 PFU/g or GC/g. Finally, this BCAC-RT-qPCR method was applied for detection of human norovirus GII.4 spiked onto lettuce and cherry tomato. The viral extraction efficiencies were up to 53.43% and 95.56%, respectively, which is almost four and seven times better than those without BCAC. Therefore, the BCAC-RT-qPCR method can be used to detect low levels of foodborne viruses from produce. |
abstractGer |
Produce-related foodborne outbreaks are becoming increasingly prevalent worldwide. In plant tissues, various compounds, including polysaccharides, phenolic compounds, and chlorophyll, can inhibit RT-PCR detection of viruses. In this study, we developed a highly sensitive RT-qPCR in combination with the bentonite-coated activated carbon (BCAC) assay for detection of norovirus from fruits and vegetables, which could be completed within 7 h and was about 10–100 fold more sensitive than the standard procedures (ISO 15216-1:2017). The extraction efficiencies of three surrogate viruses (MS2, MNV-1, and TV) from five fresh produce (lettuce, cherry tomato, blueberry, strawberry, and spinach) were higher with BCAC treatment than those of control groups, ranging from 17.82% to 98.60%. The average detection limit of these viruses using the BCAC-RT-qPCR method was stable at an average of 102 PFU/g or GC/g. Finally, this BCAC-RT-qPCR method was applied for detection of human norovirus GII.4 spiked onto lettuce and cherry tomato. The viral extraction efficiencies were up to 53.43% and 95.56%, respectively, which is almost four and seven times better than those without BCAC. Therefore, the BCAC-RT-qPCR method can be used to detect low levels of foodborne viruses from produce. |
abstract_unstemmed |
Produce-related foodborne outbreaks are becoming increasingly prevalent worldwide. In plant tissues, various compounds, including polysaccharides, phenolic compounds, and chlorophyll, can inhibit RT-PCR detection of viruses. In this study, we developed a highly sensitive RT-qPCR in combination with the bentonite-coated activated carbon (BCAC) assay for detection of norovirus from fruits and vegetables, which could be completed within 7 h and was about 10–100 fold more sensitive than the standard procedures (ISO 15216-1:2017). The extraction efficiencies of three surrogate viruses (MS2, MNV-1, and TV) from five fresh produce (lettuce, cherry tomato, blueberry, strawberry, and spinach) were higher with BCAC treatment than those of control groups, ranging from 17.82% to 98.60%. The average detection limit of these viruses using the BCAC-RT-qPCR method was stable at an average of 102 PFU/g or GC/g. Finally, this BCAC-RT-qPCR method was applied for detection of human norovirus GII.4 spiked onto lettuce and cherry tomato. The viral extraction efficiencies were up to 53.43% and 95.56%, respectively, which is almost four and seven times better than those without BCAC. Therefore, the BCAC-RT-qPCR method can be used to detect low levels of foodborne viruses from produce. |
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Use of bentonite-coated activated carbon for improving the sensitivity of RT-qPCR detection of norovirus from vegetables and fruits: The ISO 15216-1:2017 standard method extension |
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