Evidence map›Paper›PMID 42490916›Full record

ArticleFrontiers in nutrition2026

Non-destructive quality assessment and species identification of blood tofu using portable visible/near-infrared spectroscopy.

Ming Li, Wenqiang Guan, Pingyan Xin, Xiaoxiao Li, Dingqiang Lu

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

5 authors.

Ming LiTianjin Key Laboratory of Food Biotechnology, School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, China.
Wenqiang GuanTianjin Key Laboratory of Food Biotechnology, School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, China.
Pingyan XinTianjin Key Laboratory of Food Biotechnology, School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, China.
Xiaoxiao LiTianjin Key Laboratory of Food Biotechnology, School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, China.
Dingqiang LuTianjin Key Laboratory of Food Biotechnology, School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The identification and quality monitoring of blood-based meat by-products represent critical challenges in the meat industry. This study investigates the feasibility of portable visible/near-infrared (Vis-NIR) spectroscopy as a rapid, non-destructive analytical tool for quality assessment and species identification of duck and pig blood tofu during refrigerated storage at 4°C. The development of reliable spectroscopic methods is essential for ensuring product integrity and preventing fraud in meat processing. Methods: Blood tofu samples from duck and pig sources were stored at 4°C for 15 days. A total of 180 blood tofu samples, comprising 90 duck blood tofu and 90 pig blood tofu samples, were utilized for quality assessment and species identification. Physicochemical parameters including total volatile basic nitrogen (TVB-N) and pH, color coordinates (CIE Results and Discussion: PLS regression models demonstrated satisfactory predictive performance for color parameters, achieving correlation coefficients approaching or exceeding 0.90 for

Indexed as

blood tofucompetitive adaptive reweighted samplingpartial least squares discriminant analysispartial least squares-linear discriminant analysisquality assessmentspecies identificationvisible/near infrared spectroscopy

Identifiers

PMID42490916
PMCPMC13375554

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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.