Recent Advances in the Determination of Milk Adulterants and Contaminants by Mid-Infrared Spectroscopy

被引:25
作者
Ceniti, Carlotta [1 ]
Spina, Anna Antonella [1 ]
Piras, Cristian [1 ]
Oppedisano, Francesca [1 ]
Tilocca, Bruno [1 ]
Roncada, Paola [1 ]
Britti, Domenico [1 ,2 ]
Morittu, Valeria Maria [1 ,2 ]
机构
[1] Univ Catanzaro Magna Graecia, Dept Hlth Sci, I-88100 Catanzaro, Italy
[2] Univ Catanzaro Magna Graecia, Interdept Ctr Vet Serv Human & Anim Hlth, CISVetSUA, I-88100 Catanzaro, Italy
关键词
milk; food safety; food control; adulteration; traceability; infrared spectroscopy; mid-infrared; Fourier-transform infrared; TRANSFORM INFRARED-SPECTROSCOPY; MEDITERRANEAN BUFFALO MILK; MULTIVARIATE-ANALYSIS; MELAMINE DETECTION; RAPID DETECTION; DAIRY-PRODUCTS; INFANT FORMULA; AFLATOXIN M1; BOVINE-MILK; SHEEP MILK;
D O I
10.3390/foods12152917
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The presence of chemical contaminants, toxins, or veterinary drugs in milk, as well as the adulteration of milk from different species, has driven the development of new tools to ensure safety and quality. Several analytical procedures have been proposed for the rapid screening of hazardous substances or the selective confirmation of the authenticity of milk. Mid-infrared spectroscopy and Fourier-transform infrared have been two of the most relevant technologies conventionally employed in the dairy industry. These fingerprint methodologies can be very powerful in determining the trait of raw material without knowing the identity of each constituent, and several aspects suggest their potential as a screening method to detect adulteration. This paper reviews the latest advances in applying mid-infrared spectroscopy for the detection and quantification of adulterants, milk dilution, the presence of pathogenic bacteria, veterinary drugs, and hazardous substances in milk.
引用
收藏
页数:14
相关论文
共 85 条
[1]   Chemometrics in food science and technology: A bibliometric study [J].
Aleixandre-Tudo, J. L. ;
Castello-Cogollos, L. ;
Aleixandre, J. L. ;
Aleixandre-Benavent, R. .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2022, 222
[2]  
Anjos V., 2020, Journal of Dairy Research & Technology, V3, P1, DOI [10.24966/DRT-9315/100014, DOI 10.24966/DRT-9315/100014]
[3]  
[Anonymous], 2019, 400 FAO AGR OUTLOOK, DOI [10.4060/ca4076en, DOI 10.4060/CA4076EN]
[4]  
[Anonymous], 2010, Commission regulation (EC) No. 1152/2009
[5]   On the utilization of deep and ensemble learning to detect milk adulteration [J].
Asseiss Neto, Habib ;
Tavares, Wanessa L. F. ;
Ribeiro, Daniela C. S. Z. ;
Alves, Ronnie C. O. ;
Fonseca, Leorges M. ;
Campos, Sergio V. A. .
BIODATA MINING, 2019, 12 (1)
[6]  
Azad T., 2016, International Journal of Food Contamination, V3, DOI DOI 10.1186/S40550-016-0045-3
[7]   Melamine detection by mid- and near-infrared (MIR/NIR) spectroscopy: A quick and sensitive method for dairy products analysis including liquid milk, infant formula, and milk powder [J].
Balabin, Roman M. ;
Smirnov, Sergey V. .
TALANTA, 2011, 85 (01) :562-568
[8]   Rapid detection and quantification of sucrose adulteration in cow milk using Attenuated total reflectance-Fourier transform infrared spectroscopy coupled with multivariate analysis [J].
Balan, Biji ;
Dhaulaniya, Amit S. ;
Jamwal, Rahul ;
Yadav, Amit ;
Kelly, Simon ;
Cannavan, Andrew ;
Singh, Dileep K. .
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2020, 240 (240)
[9]  
Barham G.S., 2014, Journal of Food and Nutrition Sciences, V2, P47, DOI [10.11648/j.jfns.20140202.15, DOI 10.11648/J.JFNS.20140202.15]
[10]   Genetic analysis of the Fourier-transform infrared spectra of bovine milk with emphasis on individual wavelengths related to specific chemical bonds [J].
Bittante, G. ;
Cecchinato, A. .
JOURNAL OF DAIRY SCIENCE, 2013, 96 (09) :5991-6006