Literature DB >> 8634540

Determination of fat, protein, and lactose in raw milk by Fourier transform infrared spectroscopy and by analysis with a conventional filter-based milk analyzer.

D Lefier1, R Grappin, S Pochet.   

Abstract

The accuracy of fat, crude protein (CP), true protein (TP), and lactose determinations of raw milk by Fourier transform infrared (FTIR) spectroscopy and by analysis with a conventional filter-based milk analyzer was assessed in 6 trials performed over a 10-month period. At each trial, 30 bulk milk samples collected from 15 European countries and 11 reconstituted milks made from raw milk components were analyzed. When calibrations were performed with reconstituted milks at each trial, accuracy standard deviations for fat, CP, TP, and lactose were, respectively, 0.050, 0.048, 0.035, and 0.076 g/100 g for the filter instrument and 0.047, 0.046, 0.042, and 0.065 g/100 g for the FTIR instrument. When a single calibration was made instead of calibrations at each trial, accuracy standard deviations increased for the filter instrument to 0.130, 0.119, 0.121, and 0.083 for fat, CP, TP, and lactose, respectively, and for the FTIR instrument to 0.082, 0.053, 0.044, and 0.084 g/100 g. Because the FTIR instrument provides more spectral information related to milk composition than does the filter instrument, single-calibration FTIR analysis of milk samples collected in different seasons is more accurate. Using reconstituted milks, prepared such that there is no correlation between fat, CP, and lactose, provides a more robust calibration than using genuine bulk milk, especially when milks with unusual composition are analyzed.

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Year:  1996        PMID: 8634540

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  7 in total

1.  Validation of mid-infrared spectroscopy for macronutrient analysis of human milk.

Authors:  S Parat; S Groh-Wargo; S Merlino; C Wijers; D M Super
Journal:  J Perinatol       Date:  2017-04-20       Impact factor: 2.521

2.  Artificial Synapses Based on Bovine Milk Biopolymer Electric-Double-Layer Transistors.

Authors:  Sung-Hun Kim; Won-Ju Cho
Journal:  Polymers (Basel)       Date:  2022-03-28       Impact factor: 4.329

3.  Comparative study of different liquid diets for dairy calves and the impact on performance and the bacterial community during diarrhea.

Authors:  Marina Gavanski Coelho; Gercino Ferreira Virgínio Júnior; Cristiane Regina Tomaluski; Ariany Faria de Toledo; Maria Eduarda Reis; Sophia Cattleya Dondé; Lucas William Mendes; Luiz Lehmann Coutinho; Carla Maris Machado Bittar
Journal:  Sci Rep       Date:  2022-08-04       Impact factor: 4.996

4.  Milk-Ta2O5 Hybrid Memristors with Crossbar Array Structure for Bio-Organic Neuromorphic Chip Applications.

Authors:  Jin-Gi Min; Hamin Park; Won-Ju Cho
Journal:  Nanomaterials (Basel)       Date:  2022-08-28       Impact factor: 5.719

5.  Identification of milk quality and adulteration by surface-enhanced infrared absorption spectroscopy coupled to artificial neural networks using citrate-capped silver nanoislands.

Authors:  Sherif M Eid; Sherine El-Shamy; Mohamed A Farag
Journal:  Mikrochim Acta       Date:  2022-07-29       Impact factor: 6.408

6.  Advances in Atypical FT-IR Milk Screening: Combining Untargeted Spectra Screening and Cluster Algorithms.

Authors:  Lukas Spieß; Peter de Peinder; Harrie van den Bijgaart
Journal:  Foods       Date:  2021-05-18

7.  Sequence-based genome-wide association study of individual milk mid-infrared wavenumbers in mixed-breed dairy cattle.

Authors:  Kathryn M Tiplady; Thomas J Lopdell; Edwardo Reynolds; Richard G Sherlock; Michael Keehan; Thomas Jj Johnson; Jennie E Pryce; Stephen R Davis; Richard J Spelman; Bevin L Harris; Dorian J Garrick; Mathew D Littlejohn
Journal:  Genet Sel Evol       Date:  2021-07-20       Impact factor: 4.297

  7 in total

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