ArticleSensors (Basel, Switzerland)2019
Combining Fourier Transform Mid-Infrared Spectroscopy with Chemometric Methods to Detect Adulterations in Milk Powder.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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Who cites it
11 citing papers in PubMed, 38 citations in OpenAlex.
- Spectroscopic Profile of Metabolome Dynamics During Rat Cortical Neuronal Differentiation.International journal of molecular sciences · 2025Article
- An Optimized Bidirectional Long Short-Term Memory Model Based on Hyperspectral Analysis of Protein Content in Milk Powder.Food science & nutrition · 2025Article
- Advancing One Health implementation and technological innovation in China: a technology assessment approach.Science in One Health · 2025Review
- Nondestructive and Rapid Screening of Aflatoxin-Contaminated Single Peanut Kernels Using Field-Portable Spectroscopy Instruments (FT-IR and Raman).Foods (Basel, Switzerland) · 2024Article
- Application of ATR-FTIR Incorporated with Multivariate Data Analysis for Discrimination and Quantification of Urea as an Adulterant in UHT Milk.Foods (Basel, Switzerland) · 2023Article
- Rapid identification of adulteration in raw bovine milk with soymilk by electronic nose and headspace-gas chromatography ion-mobility spectrometry.Food chemistry: X · 2023Article
- Origins of Baseline Drift and Distortion in Fourier Transform Spectra.Molecules (Basel, Switzerland) · 2022Article
- Rapid Measurement of Cellulose, Hemicellulose, and Lignin Content inMolecules (Basel, Switzerland) · 2022Article
- The Combination of Vibrational Spectroscopy and Chemometrics for Analysis of Milk Products Adulteration.International journal of food science · 2021Review
- An Automatic Baseline Correction Method Based on the Penalized Least Squares Method.Sensors (Basel, Switzerland) · 2020Article
- Application of Laser-Induced Breakdown Spectroscopy in Detection of Cadmium Content in Rice Stems.Frontiers in plant science · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Adulteration is one of the major concerns among all the quality problems of milk powder. Soybean flour and rice flour are harmless adulterations in the milk powder. In this study, mid-infrared spectroscopy was used to detect the milk powder adulterated with rice flour or soybean flour and simultaneously determine the adulterations content. Partial least squares (PLS), support vector machine (SVM) and extreme learning machine (ELM) were used to establish classification and regression models using full spectra and optimal wavenumbers. ELM models using the optimal wavenumbers selected by principal component analysis (PCA) loadings obtained good results with all the sensitivity and specificity over 90%. Regression models using the full spectra and the optimal wavenumbers selected by successive projections algorithm (SPA) obtained good results, with coefficient of determination (R
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What OpenQuestion holds
Registered trials
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.