首页> 外文期刊>Journal of food process engineering >REMOVAL OF HEAVY METAL CONTAMINATION FROM PEANUT SKIN EXTRACTS BY WASTE BIOMASS ADSORPTION
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REMOVAL OF HEAVY METAL CONTAMINATION FROM PEANUT SKIN EXTRACTS BY WASTE BIOMASS ADSORPTION

机译:废物生物量吸附去除花生皮提取物中的重金属污染。

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摘要

Peanut skins are a processing waste product with potential as a low-cost source ofrnpolyphenols for nutraceutical or functional food ingredient use. Aqueous extractionsrnof peanut skins and subsequent concentration of these extracts can result inrnnormally innocuous levels of heavy metals present to be increased to concentrationsrnof human health concern. Adsorption utilizing waste biomasses is a promisingrnmethod of removing these contaminants from extracts. Peanut hulls andrnchitosan cross-linked beads were evaluated as possible adsorbents. The Langmuirrnadsorption model determined that peanut hulls were the more effective material.rnPeanut hulls removed 88.6 ± 1.9% of the cadmium present. Apparent removal ofrnarsenic (21.7 ± 9.5%) showed no correlation to adsorbent dosage. Successfulrnremoval of cadmium without reduction of the phenolic content of the extractsrnshowed that this strategy is effective for heavy metal remediation of peanut skinrnextracts, making them a viable source of antioxidants in food applications.
机译:花生皮是一种加工废品,具有潜在的低成本多酚含量的来源,可用于营养食品或功能性食品成分。花生皮的水浸提物和这些浸提物的后续浓度可能导致重金属的正常含量无害地增加到人体健康的浓度。利用废物生物质的吸附是从提取物中去除这些污染物的有前途的方法。花生壳和壳聚糖交联珠被评估为可能的吸附剂。 Langmuirrnadsorption模型确定花生壳是更有效的材料。花生壳去除了88.6±1.9%的镉。砷的表观去除率(21.7±9.5%)与吸附剂量无关。成功去除镉而不降低提取物中的酚含量表明,该策略对花生皮提取物的重金属修复有效,使其成为食品应用中抗氧化剂的可行来源。

著录项

  • 来源
    《Journal of food process engineering》 |2015年第6期|555-561|共7页
  • 作者单位

    Department of Food, Bioprocessing, and Nutrition Sciences, North Carolina State University, Raleigh, NC;

    Market Quality and Handling Research Unit, Agricultural Research Service, United States Department of Agriculture, Raleigh, NC;

    Market Quality and Handling Research Unit, Agricultural Research Service, United States Department of Agriculture, Raleigh, NC;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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