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微生物学的定量法を用いた食品中ビタミン含量の分析における信頼性向上のための工夫―ロジスティックモデルを用いた検量線の作成―

Overview of attention for article published in Shokuhin eiseigaku zasshi Journal of the Food Hygienic Society of Japan, June 2018
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Title
微生物学的定量法を用いた食品中ビタミン含量の分析における信頼性向上のための工夫―ロジスティックモデルを用いた検量線の作成―
Published in
Shokuhin eiseigaku zasshi Journal of the Food Hygienic Society of Japan, June 2018
DOI 10.3358/shokueishi.59.141
Pubmed ID
Authors

Ippei Suzuki, Jun Takebayashi, Keizo Umegaki

Abstract

Vitamins are essential nutrients for human beings. Therefore, accurate determination of vitamin levels in foodstuffs is vital to confirm the proper intake of vitamins. The microbiological assay (MBA), which is used worldwide for the determination of several vitamins in foodstuffs, is very sensitive and can determine ng/mL levels of vitamins. However, the correlation between vitamin concentrations in a sample solution and the plotted growth is usually shown as a sigmoid curve. Therefore, a calibration curve derived from a linear regression may lead to error. In this study, we evaluated the effects of various models (linear, quadratic, and cubic regression models and a four-parameter logistic model (4PLM)) for calibration curve construction on the determination of vitamin B6 in infant formula. Among the four models, the calibration curve constructed with 4PLM was the most reliable for vitamin B6 determination. Moreover, the calibration curve based on 4PLM showed robustness for extrapolation; even if the vitamin concentration in the sample solution deviated from the range of the standard solution, a reasonable result could be obtained. Similarly, the 4PLM calibration curve was the most reliable for niacin determination. We conclude that 4PLM should be used for calibration curve construction to improve the reliability of vitamin determination in foodstuffs using MBA.

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Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Psychology 1 33%
Engineering 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 July 2018.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from Shokuhin eiseigaku zasshi Journal of the Food Hygienic Society of Japan
#366
of 521 outputs
Outputs of similar age
#266,755
of 342,237 outputs
Outputs of similar age from Shokuhin eiseigaku zasshi Journal of the Food Hygienic Society of Japan
#3
of 10 outputs
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So far Altmetric has tracked 521 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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