Literature DB >> 26960288

Determination of Protein Content by NIR Spectroscopy in Protein Powder Mix Products.

Prashant D Ingle1, Roney Christian, Piyush Purohit, Veronica Zarraga, Erica Handley, Keith Freel, Saleem Abdo.   

Abstract

Protein is a principal component in commonly used dietary supplements and health food products. The analysis of these products, within the consumer package form, is of critical importance for the purpose of ensuring quality and supporting label claims. A rapid test method was developed using near-infrared (NIR) spectroscopy as a compliment to current protein determination by the Dumas combustion method. The NIR method was found to be a rapid, low-cost, and green (no use of chemicals and reagents) complimentary technique. The protein powder samples analyzed in this study were in the range of 22-90% protein. The samples were prepared as mixtures of soy protein, whey protein, and silicon dioxide ingredients, which are common in commercially sold protein powder drink-mix products in the market. A NIR regression model was developed with 17 samples within the constituent range and was validated with 20 independent samples of known protein levels (85-88%). The results show that the NIR method is capable of predicting the protein content with a bias of ±2% and a maximum bias of 3% between NIR and the external Dumas method.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26960288     DOI: 10.5740/jaoacint.15-0115

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


  4 in total

1.  Measured versus label declared macronutrient and calorie content in Colombian commercially available whey proteins.

Authors:  Andrés Zapata-Muriel; Patricia Echeverry; Trisha A Van Dusseldorp; Jennifer Kurtz; Matías Monsalves-Alvarez
Journal:  J Int Soc Sports Nutr       Date:  2022-07-05       Impact factor: 4.948

2.  Prediction of α-Lactalbumin and β-Lactoglobulin Composition of Aqueous Whey Solutions Using Fourier Transform Mid-Infrared Spectroscopy and Near-Infrared Spectroscopy.

Authors:  Margherita Tonolini; Klavs Martin Sørensen; Peter B Skou; Colin Ray; Søren Balling Engelsen
Journal:  Appl Spectrosc       Date:  2021-01-28       Impact factor: 2.388

3.  Domain Adaptation for In-Line Allergen Classification of Agri-Food Powders Using Near-Infrared Spectroscopy.

Authors:  Alexander Lewis Bowler; Samet Ozturk; Ahmed Rady; Nicholas Watson
Journal:  Sensors (Basel)       Date:  2022-09-24       Impact factor: 3.847

4.  In-Situ Screening of Soybean Quality with a Novel Handheld Near-Infrared Sensor.

Authors:  Didem Peren Aykas; Christopher Ball; Amanda Sia; Kuanrong Zhu; Mei-Ling Shotts; Anna Schmenk; Luis Rodriguez-Saona
Journal:  Sensors (Basel)       Date:  2020-11-04       Impact factor: 3.576

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.