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Dynamic changes in the physicochemical properties of fresh-cut produce wash water as impacted by commodity type and processing conditions

Organic materials in fresh-cut produce wash water deplete free chlorine that is required to prevent pathogen survival and cross-contamination. This research evaluated water quality parameters frequently used to describe organic load for their fitness to predict chlorine demand (CLD) and chemical oxy...

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Autores principales: Li, Jie, Teng, Zi, Weng, ShihChi, Zhou, Bin, Turner, Ellen R., Vinyard, Bryan T., Luo, Yaguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6762053/
https://www.ncbi.nlm.nih.gov/pubmed/31557181
http://dx.doi.org/10.1371/journal.pone.0222174
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author Li, Jie
Teng, Zi
Weng, ShihChi
Zhou, Bin
Turner, Ellen R.
Vinyard, Bryan T.
Luo, Yaguang
author_facet Li, Jie
Teng, Zi
Weng, ShihChi
Zhou, Bin
Turner, Ellen R.
Vinyard, Bryan T.
Luo, Yaguang
author_sort Li, Jie
collection PubMed
description Organic materials in fresh-cut produce wash water deplete free chlorine that is required to prevent pathogen survival and cross-contamination. This research evaluated water quality parameters frequently used to describe organic load for their fitness to predict chlorine demand (CLD) and chemical oxygen demand (COD), which are major needs identified by the industry-led produce food safety taskforce. Batches of romaine lettuce, iceberg lettuce, or carrot of different cut sizes and shapes were washed in 40 liters of water. Physicochemical properties of wash water including CLD, COD, total organic carbon (TOC), total suspended solids (TSS), total dissolved solids (TDS), turbidity, total sugar content, and pH, were monitored. Results indicate that pH is primarily commodity dependent, while organic load is additionally impacted by cutting and washing conditions. Significant linear increases in COD, TOC, CLD, TDS, and turbidity resulted from increasing product-to-water ratio, and decreasing cut size. Physicochemical parameters, excluding pH, showed significant positive correlation across different cut sizes within a commodity. High correlations were obtained between CLD and COD and between COD and TOC for pooled products. The convenient measurement of TDS, along with its strong correlation with COD and CLD, suggests the potential of TDS for predicting organic load and chlorine reactivity. Finally, the potential application and limitation of the proposed models in practical produce processing procedures are discussed extensively.
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spelling pubmed-67620532019-10-13 Dynamic changes in the physicochemical properties of fresh-cut produce wash water as impacted by commodity type and processing conditions Li, Jie Teng, Zi Weng, ShihChi Zhou, Bin Turner, Ellen R. Vinyard, Bryan T. Luo, Yaguang PLoS One Research Article Organic materials in fresh-cut produce wash water deplete free chlorine that is required to prevent pathogen survival and cross-contamination. This research evaluated water quality parameters frequently used to describe organic load for their fitness to predict chlorine demand (CLD) and chemical oxygen demand (COD), which are major needs identified by the industry-led produce food safety taskforce. Batches of romaine lettuce, iceberg lettuce, or carrot of different cut sizes and shapes were washed in 40 liters of water. Physicochemical properties of wash water including CLD, COD, total organic carbon (TOC), total suspended solids (TSS), total dissolved solids (TDS), turbidity, total sugar content, and pH, were monitored. Results indicate that pH is primarily commodity dependent, while organic load is additionally impacted by cutting and washing conditions. Significant linear increases in COD, TOC, CLD, TDS, and turbidity resulted from increasing product-to-water ratio, and decreasing cut size. Physicochemical parameters, excluding pH, showed significant positive correlation across different cut sizes within a commodity. High correlations were obtained between CLD and COD and between COD and TOC for pooled products. The convenient measurement of TDS, along with its strong correlation with COD and CLD, suggests the potential of TDS for predicting organic load and chlorine reactivity. Finally, the potential application and limitation of the proposed models in practical produce processing procedures are discussed extensively. Public Library of Science 2019-09-26 /pmc/articles/PMC6762053/ /pubmed/31557181 http://dx.doi.org/10.1371/journal.pone.0222174 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Li, Jie
Teng, Zi
Weng, ShihChi
Zhou, Bin
Turner, Ellen R.
Vinyard, Bryan T.
Luo, Yaguang
Dynamic changes in the physicochemical properties of fresh-cut produce wash water as impacted by commodity type and processing conditions
title Dynamic changes in the physicochemical properties of fresh-cut produce wash water as impacted by commodity type and processing conditions
title_full Dynamic changes in the physicochemical properties of fresh-cut produce wash water as impacted by commodity type and processing conditions
title_fullStr Dynamic changes in the physicochemical properties of fresh-cut produce wash water as impacted by commodity type and processing conditions
title_full_unstemmed Dynamic changes in the physicochemical properties of fresh-cut produce wash water as impacted by commodity type and processing conditions
title_short Dynamic changes in the physicochemical properties of fresh-cut produce wash water as impacted by commodity type and processing conditions
title_sort dynamic changes in the physicochemical properties of fresh-cut produce wash water as impacted by commodity type and processing conditions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6762053/
https://www.ncbi.nlm.nih.gov/pubmed/31557181
http://dx.doi.org/10.1371/journal.pone.0222174
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