{
    "abstract": "Blood serum contains essential biochemical information which are used for early disease diagnosis. Blood serum consisted of higher molecular weight fractions (HMWF) and lower molecular weight fractions (LMWF). The disease biomarkers are lower molecular weight fraction proteins, and their contribution to disease diagnosis is suppressed due to higher molecular weight fraction proteins. To diagnose diabetes in early stages are difficult because of the presence of huge amount of these HMWF. In the current study, surface-enhanced Raman spectroscopy (SERS) are employed to diagnose diabetes after centrifugation of serum samples using Amicon ultra filter devices of 50\u00a0kDa which produced two fractions of whole blood serum of filtrate, low molecular weight fraction, and residue, high molecular weight fraction. Furthermore SERS is employed to study the LMW fractions of healthy and diseased samples. Some prominent SERS bands are observed at 725\u00a0cm",
    "authors": [
        {
            "affiliation": "Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.",
            "firstname": "Usama",
            "initials": "U",
            "lastname": "Ehsan"
        },
        {
            "affiliation": "Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan. Electronic address: haqchemist@yahoo.com.",
            "firstname": "Haq",
            "initials": "H",
            "lastname": "Nawaz"
        },
        {
            "affiliation": "Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan. Electronic address: irfan.majeed@uaf.edu.pk.",
            "firstname": "Muhammad",
            "initials": "M",
            "lastname": "Irfan Majeed"
        },
        {
            "affiliation": "Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan. Electronic address: nosheenrasheed@yahoo.com.",
            "firstname": "Nosheen",
            "initials": "N",
            "lastname": "Rashid"
        },
        {
            "affiliation": "Government Graduate College for Women, Faisalabad 38000, Pakistan.",
            "firstname": null,
            "initials": null,
            "lastname": "Iram"
        },
        {
            "affiliation": "Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.",
            "firstname": "Zain",
            "initials": "Z",
            "lastname": "Ali"
        },
        {
            "affiliation": "Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.",
            "firstname": "Anam",
            "initials": "A",
            "lastname": "Zulfiqar"
        },
        {
            "affiliation": "Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.",
            "firstname": "Ayesha",
            "initials": "A",
            "lastname": "Tariq"
        },
        {
            "affiliation": "Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.",
            "firstname": "Muhammad",
            "initials": "M",
            "lastname": "Shahbaz"
        },
        {
            "affiliation": "Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.",
            "firstname": "Lubna",
            "initials": "L",
            "lastname": "Meraj"
        },
        {
            "affiliation": "Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.",
            "firstname": "Iqra",
            "initials": "I",
            "lastname": "Naheed"
        },
        {
            "affiliation": "Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.",
            "firstname": "Nimra",
            "initials": "N",
            "lastname": "Sadaf"
        }
    ],
    "conclusions": null,
    "copyrights": "Copyright \u00a9 2023 Elsevier B.V. All rights reserved.",
    "doi": "10.1016/j.saa.2023.122457",
    "journal": "Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy",
    "keywords": [
        "Centrifugal filtration",
        "Filtrate portions of blood serum samples",
        "Multivariate data analysis",
        "Type II diabetes",
        "surface-enhanced Raman spectroscopy"
    ],
    "methods": null,
    "publication_date": "2023-02-11",
    "pubmed_id": "36764165",
    "results": null,
    "title": "Surface-enhanced Raman spectroscopy of centrifuged blood serum samples of diabetic type II patients by using 50KDa filter devices.",
    "xml": "<Element 'PubmedArticle' at 0x788504aa9df0>"
}