U-bent plastic optical fiber probes as refractive index based fat sensor for milk quality monitoring

Abstract Milk fat content is an important parameter for milk quality assessment in the dairy industry. This study reports the development of a hand-held, highly sensitive fiber optic milk fat sensor using U-bent plastic optical fiber (POF) probes based on the refractive index (RI) of milk, an inherent physicochemical property of milk, which is significantly influenced by the milk fat content. The U-bent POF sensor probes facilitate dip type sensing and offer non-destructive assessment of milk quality in real-time. The sensor works on the principle of intensity modulation technique by exploiting evanescent wave absorbance and refractive losses. The fiber optic probes sense a change in RI of the medium as a result of attenuated total reflection by virtue of the evanescent wave interactions of light at the fiber core/cladding interface with the surrounding medium. A relative change in the refractive index property of milk as a result of variation in fat content and addition of water is investigated using U-bent POF probes for milk quality assessment. The sensor shows an optical absorbance sensitivity of 0.15 ΔA/Δ% fat for the variation of fat content in the milk. Besides, the response of the sensor to water addition in wide concentration range was studied. Furthermore, a low cost portable optoelectronic device is reported for instantaneous milk quality monitoring in farm fields. This sensor could be of huge potential in dairy industries, milk collection centers as well as end-user applications for real-time milk quality monitoring.

[1]  Edenir Rodrigues Pereira-Filho,et al.  Study of Calcium and Sodium Behavior to Identify Milk Adulteration Using Flame Atomic Absorption Spectrometry , 2012 .

[2]  Banshi D. Gupta,et al.  Fibre-optic evanescent field absorption sensor based on a U-shaped probe , 1996 .

[3]  Alok Jha,et al.  Detection of adulteration in milk: A review , 2017 .

[4]  Valeri P. Maltsev,et al.  Enhanced characterisation of milk fat globules by their size, shape and refractive index with scanning flow cytometry , 2014 .

[5]  J. Lammertyn,et al.  Visible and near-infrared bulk optical properties of raw milk. , 2015, Journal of dairy science.

[6]  Shoeb Ahmed,et al.  Common milk adulteration and their detection techniques , 2016, International Journal of Food Contamination.

[7]  Ömer Galip Saracoglu,et al.  Bent Fiber Sensor for Preservative Detection in Milk , 2016, Sensors.

[8]  S.C. Mukhopadhyay,et al.  Low Cost Sensing System for Dairy Products Quality Monitoring , 2005, 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings.

[9]  Surinder Kumar,et al.  Food adulteration: Sources, health risks, and detection methods , 2017, Critical reviews in food science and nutrition.

[10]  Orlando Frazão,et al.  Refractive Index Measurement of Liquids Based on Microstructured Optical Fibers , 2014 .

[11]  Pedro A. S. Jorge,et al.  Refractometric Optical Fiber Platforms for Label Free Sensing , 2013 .

[12]  L. M. Bali,et al.  Sensitive real-time measurement of the refractive index and attenuation coefficient of milk and milk-cream mixtures. , 2010, Journal of dairy science.

[13]  P. Shankar,et al.  A review of fiber-optic biosensors , 2007 .

[14]  M. Pinar Mengüç,et al.  Fiber optic sensor response to low levels of fat in skim milk. , 2000 .

[15]  Karabi Biswas,et al.  A low cost instrumentation system to analyze different types of milk adulteration. , 2015, ISA transactions.

[16]  K. Peiponen,et al.  On reflectometric measurement of a refractive index of milk. , 2001, Journal of dairy science.

[17]  M. Drake,et al.  Milk fat threshold determination and the effect of milk fat content on consumer preference for fluid milk. , 2017, Journal of dairy science.

[18]  Xudong Fan,et al.  On the performance quantification of resonant refractive index sensors. , 2008, Optics express.

[19]  Raj Mutharasan,et al.  Effects of geometry on transmission and sensing potential of tapered fiber sensors. , 2006, Biosensors & bioelectronics.

[20]  Bing Zhao,et al.  One-step detection of melamine in milk by hollow gold chip based on surface-enhanced Raman scattering. , 2014, Talanta.

[21]  R. Uauy,et al.  Nutrient Recommendations for Growing-up Milk: A Report of an Expert Panel , 2016, Critical reviews in food science and nutrition.

[22]  V. Sai,et al.  Development of LSPR based U-bent plastic optical fiber sensors , 2016 .

[23]  Ashutosh Saxena,et al.  Fiber optic sensing of liquid refractive index , 2007 .

[24]  Motoyasu Natsuga,et al.  Near-infrared spectroscopic sensing system for online monitoring of milk quality during milking , 2007 .

[25]  Satyam Srivastava,et al.  Optical sensing system for detecting water adulteration in milk , 2016, 2016 IEEE Global Humanitarian Technology Conference (GHTC).

[26]  Suryasnata Tripathy,et al.  A comprehensive approach for milk adulteration detection using inherent bio-physical properties as 'Universal Markers': Towards a miniaturized adulteration detection platform. , 2017, Food chemistry.