Evidence map›Paper›PMID 40646950›Full record

ReviewFoods (Basel, Switzerland)2025

Terahertz Spectroscopy for Food Quality Assessment: A Comprehensive Review.

Jie Yang, Xue Bai, Mingji Wei, Hui Jiang, Leijun Xu

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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.

Jie YangSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China.
Xue BaiSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China.
Mingji WeiSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China.
Hui JiangSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0001-6754-1125
Leijun XuSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0003-2885-6102

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Terahertz spectroscopy (0.1~10 THz), as a new type of non-destructive testing method with both microwave and infrared characteristics, has shown remarkable potential in the field of food quality testing in recent years. Its unique penetration, high sensitivity, and low photon energy characteristics, combined with chemometrics and machine learning methods, provide an efficient solution for the qualitative and quantitative analysis of complex food ingredients. In this paper, we systematically review the principles of terahertz spectroscopy and its key applications in food testing, focusing on its research progress in pesticide residues, additives, biotoxins, and mold, adulteration identification, variety identification, and nutrient content detection. By integrating spectral data preprocessing, reconstruction algorithms, and machine learning model optimization strategies, this paper further analyzes the advantages and challenges of this technology in enhancing detection accuracy and efficiency. In addition, combined with the urgent demand for fast and nondestructive technology in the field of food detection, the future development direction of the deep integration of terahertz spectroscopy technology and artificial intelligence is envisioned, with a view to providing theoretical support and technical reference for food safety assurance and nutritional health research.

Indexed as

chemometricsfood safety and qualitymachine learningnon-destructive testingterahertz spectroscopy

Identifiers

PMID40646950
PMCPMC12249457

What OpenQuestion holds

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Registered trials

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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.