Evidence map›Paper›PMID 35463865›Full record

ReviewJournal of food science and technology2023

Recent technology for food and beverage quality assessment: a review.

Wei Keong Tan, Zulkifli Husin, Muhammad Luqman Yasruddin, Muhammad Amir Hakim Ismail

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of food science and technology, 2023. 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

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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Wei Keong Tan02600 Arau, Perlis Malaysia Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis.
Zulkifli Husin02600 Arau, Perlis Malaysia Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis.
Muhammad Luqman Yasruddin02600 Arau, Perlis Malaysia Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis.
Muhammad Amir Hakim Ismail02600 Arau, Perlis Malaysia Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food and beverage assessment is an evaluation method used to measure the strengths and weaknesses of a food and beverage system to make improvements. These assessments had become crucial, especially in the issues of adulteration, replacement, and contamination that happened in artificial adjustment relating to the quality, weight and volume. Thus, this review will examine and describe features recently applied in image, odour, taste and electromagnetic, relevant to the food and beverages assessment. This review will also compare and discuss each technique and provides suggestions based on the current technology. This review will deliberate technology integration and the involvement of deep learning to enable several types of current technologies, such as imaging, odour and taste senses, and electromagnetic sensing, to be used in food evaluation applications for inspection and packaging.

Indexed as

Electromagnetic sensing technologyFood and beverage assessmentImaging technologyOdour and taste sensing technologyRecent technology

Identifiers

PMID35463865
PMCPMC9014778

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.