Reference Source

Fernando De Jesus Rodriguez Mendoza · 99-45 · MEXICO

For Fernando De Jesus Rodriguez Mendoza · 99-45 · MEXICO, import alert is 99-45; import alert name is Detention Without Physical Examination of Food Products That Are or Contain an Unsafe Food Additive; country is MEXICO; product is CLAY KITCHENWARE - Clay bowl with Yellow Flower and white dot pattern; product code is 52 A - - 99 Kitchen and Tableware, n.e.c., (Foodware, Cookware & Tableware); date published is 05/21/2025; address is Calle Areca No 103 , Fracc. RESIDENCIAL DEL VALLE , Reynosa, Tamaulipas MEXICO, verified against its source on 2026-09-16.

Firm
Fernando De Jesus Rodriguez Mendoza verified
Import alert
99-45
Import alert name
Detention Without Physical Examination of Food Products That Are or Contain an Unsafe Food Additive
Country
MEXICO verified
Address
Calle Areca No 103 , Fracc. RESIDENCIAL DEL VALLE , Reynosa, Tamaulipas MEXICO verified
Date published
05/21/2025 verified
Product code
52 A - - 99 Kitchen and Tableware, n.e.c., (Foodware, Cookware & Tableware) verified
Product
CLAY KITCHENWARE - Clay bowl with Yellow Flower and white dot pattern verified
FDA notes
Fernando De Jesus Rodriguez Mendoza is the shipper. This firm is from deactivated import alert 52-08. | LEAD; each item verified
Sourceaccessdata.fda.gov
Verified
Review by
DatasetFDA import alert red lists: firms subject to detention without physical examination

What the source says

Fernando De Jesus Rodriguez Mendoza Date Published : 05/21/2025 Calle Areca No 103 , Fracc. RESIDENCIAL DEL VALLE , Reynosa, Tamaulipas MEXICO 52 A - - 99 Kitchen and Tableware, n.e.c., (Foodware, Cookware & Tableware) Date Published: 05/21/2025 Desc: CLAY KITCHENWARE - Clay bowl with Yellow Flower and white dot pattern Notes: Fernando De Jesus Rodriguez Mendoza is the shipper. This firm is from deactivated import alert 52-08. Problems: LEAD;

accessdata.fda.gov, retrieved 2026-09-15

Source

Last verified against source: . Due for re-check by . This page as Markdown · OKF bundle · full dataset as JSON.

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