2924.29.01.00 - p-Acetanisidide;p-Acetoacetotoluidide; 4'-Amino-N-methylacetanilide; 2,5-Dimethoxyacetanilide; andN-(7-Hydroxy-1-naphthyl)acetamide
Details
| Field | Value |
|---|---|
| Unit of Quantity | kg |
| General Rate of Duty | Free |
| Special Rate of Duty | N/A |
| Column 2 Rate of Duty | 15.4¢/kg + 39.5% |
| Quota Quantity | N/A |
| Additional Duties | N/A |
Overview
This classification covers a specific group of aromatic carboxyamide and amide-function compounds derived from carbonic acid. These are characterized by the presence of the amide linkage (-CONH-) within a cyclic structure, often referred to as cyclic amides or cyclic carbamates. The scope extends to include salts and derivatives of these cyclic compounds. The listed examples – p-Acetanisidide, p-Acetoacetotoluidide, 4'-Amino-N-methylacetanilide, 2,5-Dimethoxyacetanilide, and N-(7-Hydroxy-1-naphthyl)acetamide – exemplify the chemical structures falling within this precise category.
To differentiate this subcategory from its siblings, consider the specific arrangement and substitution patterns of the functional groups. For instance, sibling categories might focus on entirely different chemical families, such as nitro-substituted amides (e.g., 3,5-Dinitro-o-toluamide) or specific complex iodinated compounds used in medical imaging (e.g., Biligrafin acid). Other siblings may include less complex aromatic amides or compounds with distinct structural features like anthra quinone moieties, differentiating them based on their core chemical skeleton and the nature of their amide substituents.
As a leaf node within the HTS, this classification does not have further subdivisions. Therefore, the classification of goods will rely on precisely matching the chemical identity of the imported or exported product to the listed examples or by demonstrating that it meets the broader definition of an aromatic cyclic amide or carbamate derivative not specifically listed under other 2924.29 subheadings. Understanding the precise chemical nomenclature and structural characteristics is paramount for accurate classification at this granular level.