Evidence map›Paper›PMID 36673494›Full record

ArticleFoods (Basel, Switzerland)2023

Rapid Food Authentication Using a Portable Laser-Induced Breakdown Spectroscopy System.

Xi Wu, Sungho Shin, Carmen Gondhalekar, Valery Patsekin, Euiwon Bae, J Paul Robinson, Bartek Rajwa

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Methodological Approach toFoods (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Potential antibacterial and antioxidant inhibitory activities ofSaudi journal of biological sciences · 2023
    Article
  6. 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

7 authors at 1 institution in 1 country.

Xi WuDepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USA.
Sungho ShinDepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USA.
Carmen GondhalekarDepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USA.
Valery PatsekinDepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USA.
Euiwon BaeSchool of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-6095-3223
J Paul RobinsonDepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USA.
Bartek RajwaBindley Bioscience Center, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-7540-8236
Purdue University West Lafayette · US

Funding

United States Department of Agriculture Agreement No. 59-8072-1-002
6 · The paper itself

Abstract

Laser-induced breakdown spectroscopy (LIBS) is an atomic-emission spectroscopy technique that employs a focused laser beam to produce microplasma. Although LIBS was designed for applications in the field of materials science, it has lately been proposed as a method for the compositional analysis of agricultural goods. We deployed commercial handheld LIBS equipment to illustrate the performance of this promising optical technology in the context of food authentication, as the growing incidence of food fraud necessitates the development of novel portable methods for detection. We focused on regional agricultural commodities such as European Alpine-style cheeses, coffee, spices, balsamic vinegar, and vanilla extracts. Liquid examples, including seven balsamic vinegar products and six representatives of vanilla extract, were measured on a nitrocellulose membrane. No sample preparation was required for solid foods, which consisted of seven brands of coffee beans, sixteen varieties of Alpine-style cheeses, and eight different spices. The pre-processed and standardized LIBS spectra were used to train and test the elastic net-regularized multinomial classifier. The performance of the portable and benchtop LIBS systems was compared and described. The results indicate that field-deployable, portable LIBS devices provide a robust, accurate, and simple-to-use platform for agricultural product verification that requires minimal sample preparation, if any.

Indexed as

authenticationfood fraudLIBSspectroscopy

Identifiers

PMID36673494
PMCPMC9857504
OpenAlexW4316466897

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.