Home › Entities › academia › Rapid detection and quantification of melamine, urea, sucrose, water, and milk powder adulteration in pasteurized milk using Fourier transform infrared (FTIR) spectroscopy coupled with modern statistical machine learning algorithms

Rapid detection and quantification of melamine, urea, sucrose, water, and milk powder adulteration in pasteurized milk using Fourier transform infrared (FTIR) spectroscopy coupled with modern statistical machine learning algorithms

Research article (Heliyon, 2024) · cited 35× · AI/ML
academia openalex:W4399627856
Press Enter · cited answer in seconds

Rapid detection and quantification of melamine, urea, sucrose, water, and milk powder adulteration in pasteurized milk using Fourier transform infrared (FTIR) spectroscopy coupled with modern statistical machine learning algorithms

Summary

Rapid detection and quantification of melamine, urea, sucrose, water, and milk powder adulteration in pasteurized milk using Fourier transform infrared (FTIR) spectroscopy coupled with modern statistical machine learning algorithms is a scholarly article[1].

Key Facts

  • Rapid detection and quantification of melamine, urea, sucrose, water, and milk powder adulteration in pasteurized milk using Fourier transform infrared (FTIR) spectroscopy coupled with modern statistical machine learning algorithms's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Rapid detection and quantification of melamine, urea, sucrose, water, and milk powder adulteration in pasteurized milk using Fourier transform infrared (FTIR) spectroscopy coupled with modern statistical machine learning algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/rapid-detection-and-quantification-of-melamine-urea-sucrose-water-and-milk-powder-adulteration-in-pasteurized-milk-using
MLA “Rapid detection and quantification of melamine, urea, sucrose, water, and milk powder adulteration in pasteurized milk using Fourier transform infrared (FTIR) spectroscopy coupled with modern statistical machine learning algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rapid-detection-and-quantification-of-melamine-urea-sucrose-water-and-milk-powder-adulteration-in-pasteurized-milk-using.
BibTeX @misc{4ortxyz_rapid-detection-and-quantification-of-melamine-urea-sucrose-water-and-milk-powder-adulteration-in-pasteurized-milk-using_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rapid detection and quantification of melamine, urea, sucrose, water, and milk powder adulteration in pasteurized milk using Fourier transform infrared (FTIR) spectroscopy coupled with modern statistical machine learning algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/rapid-detection-and-quantification-of-melamine-urea-sucrose-water-and-milk-powder-adulteration-in-pasteurized-milk-using}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rapid detection and quantification of melamine, urea, sucrose, water, and milk powder adulteration in pasteurized milk using Fourier transform infrared (FTIR) spectroscopy coupled with modern statistical machine learning algorithms — https://4ort.xyz/entity/rapid-detection-and-quantification-of-melamine-urea-sucrose-water-and-milk-powder-adulteration-in-pasteurized-milk-using (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/rapid-detection-and-quantification-of-melamine-urea-sucrose-water-and-milk-powder-adulteration-in-pasteurized-milk-using · Last refreshed: