{
  "uuid": "FCSV-7cd49681-3606-306c-b7a5-bb74b11c5f03",
  "owner": {
    "substance": {
      "uuid": "FCSV-93c29ebf-e80e-354c-893f-923385c72858"
    },
    "company": {
      "uuid": "FCSV-319611c6-e7da-3977-a5ac-eb74d49a4319",
      "name": "Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles.csv"
    }
  },
  "citation": {
    "title": "Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles.csv",
    "year": "2014",
    "owner": null
  },
  "protocol": {
    "topcategory": "P-CHEM",
    "category": {
      "code": "PC_GRANULOMETRY_SECTION",
      "term": "http://purl.obolibrary.org/obo/CHMO_0002119",
      "title": "4.5 Particle size distribution (Granulometry)"
    },
    "endpoint": "DLS",
    "guideline": [
      "doi: 10.1021/nn406018q"
    ]
  },
  "parameters": {
    "DATA_GATHERING_INSTRUMENTS": "ZetaSizer Nano ZS (Malvern Instruments)",
    "Type of method": "DLS",
    "testmat_form": null
  },
  "reliability": {
    "r_isRobustStudy": "false",
    "r_isUsedforClassification": "false",
    "r_isUsedforMSDS": "false",
    "r_purposeFlag": null,
    "r_studyResultType": "experimental result",
    "r_value": null
  },
  "interpretation": {
    "result": null
  },
  "effects": [
    {
      "endpoint": "Z-Average Hydrodynamic Diameter",
      "conditions": {
        "MEDIUM": " ",
        "PHRASEOTHER_PERCENTILE": null,
        "Remark": null,
        "SEQ_NUM": null
      },
      "result": {
        "unit": "nm",
        "loQualifier": "mean",
        "loValue": 49.22,
        "errQualifier": "sd",
        "errorValue": 35.05
      }
    },
    {
      "endpoint": "Z-Average Hydrodynamic Diameter",
      "conditions": {
        "MEDIUM": "Human serum (Sigma #H4522)",
        "PHRASEOTHER_PERCENTILE": null,
        "Remark": null,
        "SEQ_NUM": null
      },
      "result": {
        "unit": "nm",
        "loQualifier": "mean",
        "loValue": 61.86,
        "errQualifier": "sd",
        "errorValue": 9.35
      }
    },
    {
      "endpoint": "Volume Mean Hydrodynamic Diameter",
      "conditions": {
        "MEDIUM": " ",
        "PHRASEOTHER_PERCENTILE": null,
        "Remark": null,
        "SEQ_NUM": null
      },
      "result": {
        "unit": "nm",
        "loValue": 29.15,
        "errQualifier": "sd",
        "errorValue": 14.6
      }
    },
    {
      "endpoint": "Volume Mean Hydrodynamic Diameter",
      "conditions": {
        "MEDIUM": "Human serum (Sigma #H4522)",
        "PHRASEOTHER_PERCENTILE": null,
        "Remark": null,
        "SEQ_NUM": null
      },
      "result": {
        "unit": "nm",
        "loValue": 28.51,
        "errQualifier": "sd",
        "errorValue": 9.27
      }
    },
    {
      "endpoint": "Number Mean Hydrodynamic Diameter",
      "conditions": {
        "MEDIUM": " ",
        "PHRASEOTHER_PERCENTILE": null,
        "Remark": null,
        "SEQ_NUM": null
      },
      "result": {
        "unit": "nm",
        "loValue": 72.5,
        "errQualifier": "sd",
        "errorValue": 2.74
      }
    },
    {
      "endpoint": "Number Mean Hydrodynamic Diameter",
      "conditions": {
        "MEDIUM": "Human serum (Sigma #H4522)",
        "PHRASEOTHER_PERCENTILE": null,
        "Remark": null,
        "SEQ_NUM": null
      },
      "result": {
        "unit": "nm",
        "loValue": 21.05,
        "errQualifier": "sd",
        "errorValue": 3.79
      }
    },
    {
      "endpoint": "Intensity Mean Hydrodynamic Diameter",
      "conditions": {
        "MEDIUM": " ",
        "PHRASEOTHER_PERCENTILE": null,
        "Remark": null,
        "SEQ_NUM": null
      },
      "result": {
        "unit": "nm",
        "loValue": 72.5,
        "errQualifier": "sd",
        "errorValue": 26.69
      }
    },
    {
      "endpoint": "Intensity Mean Hydrodynamic Diameter",
      "conditions": {
        "MEDIUM": "Human serum (Sigma #H4522)",
        "PHRASEOTHER_PERCENTILE": null,
        "Remark": null,
        "SEQ_NUM": null
      },
      "result": {
        "unit": "nm",
        "loValue": 83.75,
        "errQualifier": "sd",
        "errorValue": 5.69
      }
    }
  ]
}