Evidence map›Paper›PMID 40221956›Full record

ArticleAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2025

Rapid determination of total colony counts and prediction of shelf life of dried tofu using LF-NMR.

Jian Xiao, Alin Xia, Taidong Hou

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Article in Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jian XiaoCollege of Food and Chemical Engineering, Shaoyang University, Shaoyang, 422000, China.
Alin XiaCollege of Food and Chemical Engineering, Shaoyang University, Shaoyang, 422000, China. alinxia@126.com.ORCID http://orcid.org/0000-0003-4179-8779
Taidong HouCollege of Food and Chemical Engineering, Shaoyang University, Shaoyang, 422000, China.

Funding

Natural Science Foundation of Hunan Province 2022JJ50219
6 · The paper itself

Abstract

Dried tofu is a type of bean food that is popular among Chinese people. However, because dried tofu is usually exposed to air during storage or shelf life, this may lead to a rapid increase in colony counts and spoilage, resulting in shortened shelf life. The traditional method for measuring total colony counts is the plate counting method, which is complex and time consuming. Therefore, it is particularly important to explore a method that can quickly, accurately, and non-destructively determine the total colony counts of dried tofu and predict its shelf life. In this study, the samples were measured by low-field nuclear magnetic resonance (LF-NMR) to obtain transverse relaxation data. Then, the total colony counts in dried tofu was determined by plate counting method, and it was used as a reference value. The backpropagation artificial neural network (BP-ANN) was used to analyze the transverse relaxation data. The results show that the BP-ANN model could quickly and accurately predict total colony counts. In addition, the total colony counts predicted by BP-ANN were used to predict the shelf life. Comparing the predicted shelf life with the actual shelf life of dried tofu. The results show that the relative error between them is less than 10%. Thus, the shelf life model established by the BP-ANN predicted value has a certain reliability. This study provides some references for rapid and nondestructive determination of total colony counts and shelf life prediction of dried tofu.

Indexed as

Food StorageColony Count, MicrobialMagnetic Resonance SpectroscopyNeural Networks, ComputerTime FactorsBP-ANNDried tofuLF-NMRShelf lifeTotal colony counts

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.