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Massive Seizure: Karnataka Cracks Down on Expired and Mislabelled Food and Medicine
Officials seized expired and mislabelled food worth ₹1.38 crore and medicines worth ₹4.02 lakh, and closed units for hygiene and licensing violations.
- FSDA officials seized expired and improperly labeled food products worth ₹1.38 crore, along with medicines worth ₹4.02 lakh procured without valid licenses, during inspections across Bengaluru.
- Minister for Health and Family Welfare U.T. Khader initiated inspections after receiving a tip about a peptide party in Koramangala, prompting officials to investigate supply chains through online platforms.
- Officials shuttered the Leo 7 Enterprises unit in Lingarajpuram for unhygienic conditions; a Swiggy Instamart location at Hosakote in Bengaluru Rural closed after authorities seized expired items worth ₹42 lakh.
- Raids at Amazon stores in Thattanahalli and Amazon Hitech Defence and Aerospace Park in Devanahalli uncovered food products worth ₹19 lakh and ₹14 lakh respectively, seized due to inadequate labeling.
- The FSDA pursues legal action under the Food Safety and Standards Act and applicable FSSAI Regulations, while officials continue inspecting premises for compliance with mandatory labeling and shelf life standards.
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Massive Seizure: Karnataka Cracks Down on Expired and Mislabelled Food and Medicine
The Karnataka Food Safety and Drugs Administration has confiscated expired and improperly labelled food and medicines worth Rs 1.43 crore across Bengaluru. The seizures were conducted during a special enforcement operation, highlighting significant non-compliance with food safety regulations and licensing laws. Further investigations are ongoing, with legal action anticipated.
·India
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The Food Safety Department in Bengaluru raided several dark stores and food storage centers and seized food products worth about 1.38 million rupees and medicines worth 4.02 lakh rupees. The investigation found expired, mislabeled and unlicensed products.
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Total News Sources12
Leaning Left1Leaning Right4Center2Last UpdatedBias Distribution57% Right
Bias Distribution
- 57% of the sources lean Right
57% Right
14%
C 29%
R 57%
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