Validation of a sampling plan to generate food composition data

Samman, Norma Cristina et al · Elsevier · 2016

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Author / responsible party

Samman, Norma Cristina et al

Publisher

Elsevier

Year

2016

ISSN

0308-8146

ISSN

0308-8146

Language

English

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A methodology to develop systematic plans for food sampling was proposed. Long life whole and skimmed milk, and sunflower oil were selected to validate the methodology in Argentina. Fatty acid profile in all foods, proximal composition, and calcium’s content in milk were determined with AOAC methods. The number of samples (n) was calculated applying Cochran’s formula with variation coefficients ⩽12% and an estimate error (r) maximum permissible ⩽5% for calcium content in milks and unsaturated fatty acids in oil. n were 9, 11 and 21 for long life whole and skimmed milk, and sunflower oil respectively. Sample units were randomly collected from production sites and sent to labs. Calculated r with experimental data was ⩽10%, indicating high accuracy in the determination of analyte content of greater variability and reliability of the proposed sampling plan. The methodology is an adequate and useful tool to develop sampling plans for food composition analysis. Fil: Samman, Norma Cristina. Universidad Nacional de Jujuy. Facultad de Ingeniería; Argentina Fil: Gimenez, M. A.. Universidad Nacional de Jujuy. Facultad de Ingeniería; Argentina

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APA 7

Samman, N. C. E. A. (2016). Validation of a sampling plan to generate food composition data. http://hdl.handle.net/11336/48163

MLA

Samman, Norma Cristina et al. "Validation of a sampling plan to generate food composition data." 2016. http://hdl.handle.net/11336/48163.

Chicago

Samman, Norma Cristina et al. 2016. "Validation of a sampling plan to generate food composition data.". http://hdl.handle.net/11336/48163.

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Samman, N. C. E. A. 2016, Validation of a sampling plan to generate food composition data, Elsevier, available at: http://hdl.handle.net/11336/48163 [Accessed 9 Aug. 2026].

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Title: Validation of a sampling plan to generate food composition data

Author / contributors: Samman, Norma Cristina et al

Publisher: Elsevier

Publication year: 2016

ISSN: 0308-8146

ISSN: 0308-8146

Language: English

Subjects

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Sampling Plan; Methodology Validation; Food Composition; Variability; https://purl.org/becyt/ford/2.11; https://purl.org/becyt/ford/2