Discrimination of Substandard and Falsified Formulations from Genuine Pharmaceuticals Using NIR Spectra and Machine Learning.

Awotunde, Olatunde; Roseboom, Nicholas; Cai, Jin; Hayes, Kathleen; Rajane, Revati; Chen, Ruoyan; Yusuf, Abdullah; Lieberman, Marya

Awotunde, Olatunde; Roseboom, Nicholas; Cai, Jin; Hayes, Kathleen; Rajane, Revati; Chen, Ruoyan; Yusuf, Abdullah; Lieberman, Marya.

Afiliación

Awotunde O; Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States.
Roseboom N; Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States.
Cai J; Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States.
Hayes K; Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States.
Rajane R; Precise Software Solutions Inc, Rockville, Maryland 20850, United States.
Chen R; Precise Software Solutions Inc, Rockville, Maryland 20850, United States.
Yusuf A; Precise Software Solutions Inc, Rockville, Maryland 20850, United States.
Lieberman M; Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States.

Anal Chem ; 94(37): 12586-12594, 2022 09 20.

Article en En | MEDLINE | ID: mdl-36067409

Asunto(s)

Medicamentos Falsificados; Acetaminofén; Ácido Ascórbico; Medicamentos Falsificados/análisis; Lactosa; Máquina de Vectores de Soporte

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Medicamentos Falsificados Tipo de estudio: Prognostic_studies Idioma: En Revista: Anal Chem Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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