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Exploring smart phone based colorimetric technology for on-site quantitative determination of adulterant (neutralizer) in milk.
Kumar, Vipin; Aulakh, R S; Gill, J P S; Sharma, A.
Affiliation
  • Kumar V; Department of Veterinary Public Health & Epidemiology, College of Veterinary Science and A.H., Mhow, Nanaji Deshmukh Veterinary Science University, Jabalpur, Madhya Pradesh 453446, India.
  • Aulakh RS; School of Public Health and Zoonoses, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab 141004 India.
  • Gill JPS; School of Public Health and Zoonoses, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab 141004 India.
  • Sharma A; School of Public Health and Zoonoses, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab 141004 India.
J Food Sci Technol ; 59(9): 3693-3699, 2022 Sep.
Article in En | MEDLINE | ID: mdl-35875209
ABSTRACT
There is a great concern regarding the safety of milk not only for human health but also for its economic consequences. The portable sensing devices, which can collect and analyze data within food supply chains at critical control points are lacking. Smart phones have now emerged as an integral part of each home, lab, farm and factory. It is having a provision of digital camera and computation; with widespread applicability including food analysis. The use of soda as a milk neutralizer is a usual practice but has a detrimental human health impact. This investigation explored an easy, economic, fast, repeatable, and field applicable Smartphone-based sensing technology, which was standardized and in-house validated for the quantitative determination of neutralizer in milk samples. The method had simple steps of spot-test response and digital image evaluation with the Red Green Blue process. The linearity of the method was shown by analytical curves ranging from 0.125% (1250 ppm) to 1% (10,000 ppm) that were characterized by R2 > 0.99. The limit of detection of 0.11% demonstrated the sensitivity of the method which was found better than the existing wet chemical spot test. Comparison with the existing spectroscopic method revealed no statistically significant difference between the observations using paired t-test at a confidence level of 95%.
Key words

Full text: 1 Collection: 01-internacional Health context: 2_ODS3 Database: MEDLINE Language: En Journal: J Food Sci Technol Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Health context: 2_ODS3 Database: MEDLINE Language: En Journal: J Food Sci Technol Year: 2022 Document type: Article