In view of different reports stating chemical tarnishing in milk, scientists from the IIT-H (Indian Institute of Technology – Hyderabad) are designing a novel handset-based sensor that uses ML (machine-learning) algorithms to spot color modifications as per the milk’s acidity.
The traditional method to detect milk adulteration is to analyze the chemicals that are present within it by complex procedures.
But the novel technique, with almost 100% accuracy, seeks to spot contamination via sensing modifications in the biophysical characteristics of milk, such as electrical conductivity, acidity, and refractive index, the researchers claimed, in the paper posted in the Food Analytical Methods journal.
As a first action, the team spearheaded by Professor Shiv Govind Singh, designed a sensor-chip based technique for calculating acidity. They used a dubbed as “electrospinning” to make paper-akin material composed of nanosized fibers of nylon, filled with a mixture of 3 dyes.
On a related note, last month IIT-Madras disclosed what it states to be the first indigenously-designed microprocessor in the nation that can be employed in mobile computing gadgets, network systems, and embedded low-power wireless.
The device might come in handy to verticals such as nuclear power, defence, and government organizations, as it can lower the danger from systems infected with hardware Trojans and back-doors, a report from the institute claimed.
Professor Kamakoti Veezhinathan, researcher form the institute, claimed to the media in an interview, “With the arrival of digital world, there are different applications that need customized core processors.”
The “Shakti” range of chips was fabricated in Chandigarh at SCL (semi-conductor laboratory) of ISRO (Indian Space Research Organization), it claimed. The roll out might assist lower dependence on import of microchips, the report stated. The SCL is an autonomous agency engaged in R&D in microelectronics to meet strategic requirement of the nation, it claimed further.