Detection and quantification of adulterants in milk powder using a high-throughput Raman chemical imaging technique-Reference-Cited by-同舟云学术

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Detection and quantification of adulterants in milk powder using a high-throughput Raman chemical imaging technique

Published:2016-12-08 Issue:2 Volume:34 Page:152-161
ISSN:1944-0049
Container-title:Food Additives & Contaminants: Part A
language:en
Short-container-title:Food Additives & Contaminants: Part A

Author:

Qin Jianwei¹,Kim Moon S.¹,Chao Kuanglin¹,Dhakal Sagar¹,Lee Hoonsoo¹,Cho Byoung-Kwan²,Mo Changyeun³

Affiliation:

1. USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Beltsville, MD, USA

2. Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon, South Korea

3. National Institute of Agricultural Science, Rural Development Administration, Jeonju-si, South Korea

Publisher

Informa UK Limited

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,Toxicology,General Chemistry,General Medicine,Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19440049.2016.1263880

Reference24 articles.

1. Raman spectral imaging for quantitative contaminant evaluation in skim milk powder

2. Detection of melamine in milk powders based on NIR hyperspectral imaging and spectral similarity analyses

3. Detection of Melamine Using Commercial Enzyme-Linked Immunosorbent Assay Technology

4. Voltamperometric Discrimination of Urea and Melamine Adulterated Skimmed Milk Powder

5. Quantitative analysis of melamine in milk powders using near-infrared hyperspectral imaging and band ratio

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2. Food authentication, current issues, analytical techniques, and future challenges: A comprehensive review;Comprehensive Reviews in Food Science and Food Safety;2024-05

3. Methods and Applications of Raman Spectroscopy: A Powerful Technique in Modern Research, Diagnosis, and Food Quality Control;Current Nutrition & Food Science;2024-01

4. Identification of liquid milk adulteration using Raman spectroscopy combined with lactose indexed screening and support vector machine;International Dairy Journal;2023-11

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