Application of Optical Quality Control Technologies in the Dairy Industry: An Overview

被引:14
作者
Burmistrov, Dmitriy E. [1 ]
Pavkin, Dmitriy Y. [2 ]
Khakimov, Artyom R. [2 ]
Ignatenko, Dmitry N. [1 ]
Nikitin, Evgeniy A. [2 ]
Lednev, Vasily N. [1 ]
Lobachevsky, Yakov P. [2 ]
Gudkov, Sergey V. [1 ,3 ]
Zvyagin, Andrei V. [3 ,4 ,5 ]
机构
[1] Russian Acad Sci, Prokhorov Gen Phys Inst, Vavilova Str 38, Moscow 119991, Russia
[2] Fed Sci Agroengn Ctr VIM, Fed State Budgetary Sci Inst, Inst Sky Proezd 5, Moscow, Russia
[3] Lobachevsky State Univ Nizhni Novgorod, Inst Biol & Biomed, Nizhnii Novgorod 603950, Russia
[4] Macquarie Univ, MQ Photon Ctr, Sydney, NSW 2109, Australia
[5] Sechenov Univ, Ctr Biomed Engn, 8 Trubetskaya Str, Moscow 119991, Russia
关键词
optical diagnostics; analyzer; infrared spectroscopy; analysis of milk; analysis of feed; NIRS; MIRS; NEAR-INFRARED SPECTROSCOPY; LEAST-SQUARES REGRESSION; SUPPORT VECTOR MACHINES; REFLECTANCE SPECTROSCOPY; MILK-COMPOSITION; MIDINFRARED SPECTROSCOPY; RAW-MILK; COAGULATION PROPERTIES; PROTEIN-CONTENT; PRODUCTION SYSTEMS;
D O I
10.3390/photonics8120551
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Sustainable development of the agricultural industry, in particular, the production of milk and feed for farm animals, requires accurate, fast, and non-invasive diagnostic tools. Currently, there is a rapid development of a number of analytical methods and approaches that meet these requirements. Infrared spectrometry in the near and mid-IR range is especially widespread. Progress has been made not only in the physical methods of carrying out measurements, but significant advances have also been achieved in the development of mathematical processing of the received signals. This review is devoted to the comparison of modern methods and devices used to control the quality of milk and feed for farm animals.
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页数:35
相关论文
共 124 条
[51]   Selecting optimal wavelength intervals for an optical sensor: A case study of milk fat and total protein analysis in the region 400-1100 nm [J].
Galyanin, Vladislav ;
Melenteva, Anastasiia ;
Bogomolov, Andrey .
SENSORS AND ACTUATORS B-CHEMICAL, 2015, 218 :97-104
[52]  
Gerrior S., 1998, FoodReview, V21, P29
[53]   Relationships between milk urea concentrations and nutritional management, production, and economic variables in Ontario dairy herds [J].
Godden, SM ;
Lissemore, KD ;
Kelton, DF ;
Leslie, KE ;
Walton, JS ;
Lumsden, JH .
JOURNAL OF DAIRY SCIENCE, 2001, 84 (05) :1128-1139
[54]   ATR-MIR spectroscopy to predict commercial milk major components: A comparison between a handheld and a benchtop instrument [J].
Gorla, Giulia ;
Mestres, Montserrat ;
Boque, Ricard ;
Riu, Jordi ;
Spanu, Davide ;
Giussani, Barbara .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2020, 200
[55]   Milk and Dairy Products and Their Nutritional Contribution to the Average Polish Diet [J].
Gorska-Warsewicz, Hanna ;
Rejman, Krystyna ;
Laskowski, Waclaw ;
Czeczotko, Maksymilian .
NUTRIENTS, 2019, 11 (08)
[56]   FOURIER-TRANSFORM INFRARED SPECTROMETRY [J].
GRIFFITHS, PR .
SCIENCE, 1983, 222 (4621) :297-302
[57]  
Horrocks R., 1999, FORAGE QUALITY THE B, P17
[58]   Influence of forage particle size and residual moisture on near infrared reflectance spectroscopy (NIRS) calibration accuracy for macro-mineral determination [J].
Ikoyi, A. Y. ;
Younge, B. A. .
ANIMAL FEED SCIENCE AND TECHNOLOGY, 2020, 270
[59]  
Iweka P., 2018, Arid Zone J Eng Technol Environ, V14, P121
[60]   BIOSYNTHESIS AND COMPOSITION OF MILK [J].
JENNESS, R .
JOURNAL OF INVESTIGATIVE DERMATOLOGY, 1974, 63 (01) :109-118