Evidence map›Paper›PMID 34307647›Full record

ReviewInternational journal of food science2021

The Combination of Vibrational Spectroscopy and Chemometrics for Analysis of Milk Products Adulteration.

Anjar Windarsih, Abdul Rohman, Irnawati, Sugeng Riyanto

Abstract readReview
In one paragraph

Review in International journal of food science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. How Chemometrics Can Fight Milk Adulteration.Foods (Basel, Switzerland) · 2022
    Review
  6. Article
  7. 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

4 authors.

Anjar WindarsihResearch Division for Natural Product Technology (BPTBA), Indonesian Institute of Sciences (LIPI), Yogyakarta 55861, Indonesia.ORCID https://orcid.org/0000-0002-2235-7575
Abdul RohmanCenter of Excellence, Institute for Halal Industry and Systems (PUI-P IHIS), Universitas Gadjah Mada, Yogyakarta 55281, Indonesia.ORCID https://orcid.org/0000-0002-1141-7093
IrnawatiFaculty of Pharmacy, Halu Oleo University, Kendari 93232, Indonesia.ORCID https://orcid.org/0000-0001-8054-1664
Sugeng RiyantoCenter of Excellence, Institute for Halal Industry and Systems (PUI-P IHIS), Universitas Gadjah Mada, Yogyakarta 55281, Indonesia.ORCID https://orcid.org/0000-0002-6170-391X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Milk products obtained from cow, goat, buffalo, sheep, and camel as well as fermented forms such as cheese, yogurt, kefir, and butter are in a category of the most nutritious foods due to their high contents of high protein contributing to total daily energy intake. For certain reasons, high price milk products may be adulterated with low-quality ones or with foreign substances such as melamine and formalin which are added into them; therefore, a comprehensive review on analytical methods capable of detecting milk adulteration is needed. The objective of this narrative review is to highlight the use of vibrational spectroscopies (near infrared, mid infrared, and Raman) combined with multivariate analysis for authentication of milk products. Articles, conference reports, and abstracts from several databases including Scopus, PubMed, Web of Science, and Google Scholar were used in this review. By selecting the correct conditions (spectral treatment, normal versus derivative spectra at wavenumbers region, and chemometrics techniques), vibrational spectroscopy is a rapid and powerful analytical technique for detection of milk adulteration. This review can give comprehensive information for selecting vibrational spectroscopic methods combined with chemometrics techniques for screening the adulteration practice of milk products.

Identifiers

PMID34307647
PMCPMC8263233

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.