In this paper, a new method for quantitative determination of fat content in goat milk at room temperature (25°C), based on the annular photoelectric sensor system, has been developed. The measurement system consists of an annular photoelectric sensor, thermoelectric cooler (TEC), amplifier, A/D converter, microprocessor and other components. Based on Mie theory, the diffuse reflection light intensity is adopted as the optical parameter representing the fat content in goat milk. In this way, the standard model of the system can be established and loaded into the processor to realize data acquisition, processing and output. The proposed method has been tested on goat milk samples with variable fat content in the prediction experiment. The results show that the fitting equation is y=−0.366x+0.295 (R2=0.987) and measurement errors are within ±3%, which indicates that the presented method has high prediction performance and can measure the fat content in goat milk accurately and in real time.
ArazuriSIgnacioAJAriasN (2012) Rheological parameters determination using near infrared technology in whole wheat grain. Journal of Food Engineering111(1): 115–121.
2.
Barrón-BravoOGGutiérrez-ChávezAJÁngel-SahagúnCAet al. (2013) Losses in milk yield, fat and protein contents according to different levels of somatic cell count in dairy goats. Small Ruminant Research113(2): 421–431.
3.
BastinCBerryDPSoyeurtH (2012) Genetic correlations of days open with production traits and contents in milk of major fatty acids predicted by mid-infrared spectrometry. Journal of Dairy Science95(10): 6113–6121.
4.
BogomolovADietrichSBoldriniBet al. (2012) Quantitative determination of fat and total protein in milk based on visible light scatter. Food Chemistry134(1): 412–418.
5.
CaoJZhaoWQWeiZD (2012) Rapid detection of plant-protein in adulterated raw goat’s milk by near infrared spectroscopy. Academic Periodical of Farm Products Processing3: 131–133.
6.
CareddaMAddisMIbbaIet al. (2016). Prediction of fatty acid content in sheep milk by mid-infrared spectrometry with a selection of wavelengths by genetic algorithms. LWT-Food Science and Technology65: 503–510.
7.
ChenCLHouZLHouQC (2002) Experimental study on homogenization’s effect on the test of content of fat in milk. Journal of Harbin University of Science and Technology1: 96–98.
8.
ClarkSSherbonJW (2000) Alphas1-casein, milk composition and coagulation properties of goat milk. Small Ruminant Research38: 123–134.
9.
GreenfieldBStoutJ (2014) Overcoming three hidden performance barriers: optimized human performance. Alternative Medicine (14): 34.
10.
GuoZHWangLJinLet al. (2013) Determining the content of the protein and fat in dairy product using near infrared transmittance spectroscopy. Laser & Infrared43(7): 747–752.
11.
HanYH (2005) Study on theories and experiments of measuring the milk compositions with near-infrared spectroscopy. Tianjin University.
12.
HuangLCZhengNWangJQet al. (2013) Investigation on composition and mycotoxin contaminations of goat milk in Xi’an and their correlations. Journal of China Agricultural University18(5): 115–121.
13.
LiXYWangJHHuangYWet al. (2011) Determination of fat, protein and DM in raw milk by portable short-wave near infrared spectrometer. Spectroscopy and Spectral Analysis31(3): 665–668.
14.
LiXZYanCGLeeHGet al. (2012) Influence of dietary plant oils on mammary lipogenic enzymes and the conjugated linoleic acid content of plasma and milk fat of lactating goats. Animal Feed Science and Technology174(1): 26–35.
15.
LiYWuJLinBet al. (2015) Research on detecting method of adulterating bos milk and buffalo milk into goat milk and its products. Genomics and Applied Biology34(5): 977–981.
16.
LiangJBDevendraC (2014) Expanding the contribution of dairy goats in efficient and sustainable production systems. Animal Production Science54(9): 1198–1203.
17.
MeherLCVidyaSDNaikSN (2006) Technical aspects of bio-diesel production by transesterification – a review. Renewable and Sustainable Energy Reviews10: 248.
18.
MelentevaAGalyaninVSavenkovaEBogomolovA (2016) Building global models for fat and total protein content in raw milk based on historical spectroscopic data in the visible and short-wave near infrared range. Food Chemistry. doi:10.1016/j.foodchem.2016.01.127.
19.
Núñez-SánchezNMartínez-MarínALPolvilloOet al. (2016) Near infrared spectroscopy (NIRS) for the determination of the milk fat fatty acid profile of goats. Food Chemistry190: 244–252.
20.
ParodiPW (2003) Conjugated linoleic acid in food. Advances in Conjugated Linoleic Acid Research2(2): 101–122.
21.
PisanuSMarognaGPagnozziDet al. (2013) Characterization of size and composition of milk fat globules from Sarda and Saanen dairy goats. Small Ruminant Research109(2): 141–151.
22.
QiXHouZLTianJLet al. (2006) The rapid determination of fat and protein content in fresh raw milk using the laser light scattering technology. Optics and Lasers in Engineering44: 858–869.
23.
RagniLIaccheriECevoliCet al. (2016) Spectral-sensitive pulsed photometry to predict the fat content of commercialized milk. Journal of Food Engineering171: 95–101.
24.
Sanz SampelayoMRAmigoLAresJLet al. (1998) The use of diets with different protein sources in lactating goats: composition of milk and its suitability for cheese production. Small Ruminant Research31: 37–43.
25.
SharifiMYoungB (2012) Milk total solids and fat content soft sensing via electrical resistance tomography and temperature measurement. Food and Bioproducts Processing90(4): 659–666.
26.
SilanikoveNLeitnerGMerinUet al. (2010) Recent advances in exploiting goat’s milk: quality, safety and production aspects. Small Ruminant Research89(2): 110–124.
27.
TimmsRE (1980) The phase behavior and polymorphism of milk fat, milk fat fractions and fully hardened milk fat. Australian Journal of Dairy Technology35: 47–52.
28.
WuaDHeYFengSJet al. (2008) Study on infrared spectroscopy technique for fast measurement of protein content in milk powder based on LS-SVM. Journal of Food Engineering84(1): 124–131.
29.
ZhangHXLiXNFanWet al. (2010) Determination of protein and fat in liquid milk by NIR combined with CARS variables screening method. Journal of Instrumental Analysis29(5): 430–434.
30.
ZhuXYZhaoZMWangLXet al. (2014) A new method to measure fat content in coconut milk based on Y-type optic fiber system. Optik125(20): 6172–6178.
31.
ZhuXYZhaoZMWangLXet al. (2015) A novel method of measuring fat content in soybean milk based on Y-type optical fiber sensor. Journal of Testing and Evaluation43(1): 1–10.
