How many grams is silver nitrate?
The wording “how many grams is silver nitrate” is naturally interpreted in general chemistry as the mass of 1 mole of silver nitrate, AgNO3. That quantity is the molar mass (formula mass) expressed in g/mol.
Chemical identity and counting atoms
Silver nitrate has the formula AgNO3, which encodes the atom count in one formula unit:
- Silver, Ag: 1 atom
- Nitrogen, N: 1 atom
- Oxygen, O: 3 atoms
Molar mass and the gram–mole connection
The molar mass \(M\) of a compound is the sum of the atomic masses of its constituent atoms, scaled by their subscripts. It links amount \(n\) (in moles) to mass \(m\) (in grams) by:
Molar-mass calculation for AgNO3
Using standard average atomic masses (periodic-table values; slight rounding differences exist across tables), the molar mass is:
| Element | Count | Atomic mass (g/mol) | Contribution (g/mol) |
|---|---|---|---|
| Ag | 1 | 107.8682 | \(1 \cdot 107.8682 = 107.8682\) |
| N | 1 | 14.0067 | \(1 \cdot 14.0067 = 14.0067\) |
| O | 3 | 15.999 | \(3 \cdot 15.999 = 47.997\) |
| Total | — | — | \(107.8682 + 14.0067 + 47.997 = 169.8719\) |
Rounded to typical significant figures for general chemistry, \(M(\mathrm{AgNO_3}) \approx 169.87\ \mathrm{g/mol}\). This also means 1 mol of silver nitrate has a mass of about 169.87 g.
Common conversions involving silver nitrate
Any mole-to-gram conversion for AgNO3 uses \(M = 169.87\ \mathrm{g/mol}\) (or the locally adopted table value). Representative examples:
- \(n = 0.250\ \mathrm{mol}\): \(m = 0.250 \cdot 169.87 \approx 42.47\ \mathrm{g}\)
- \(n = 0.100\ \mathrm{mol}\): \(m = 0.100 \cdot 169.87 \approx 16.99\ \mathrm{g}\)
- \(m = 25.0\ \mathrm{g}\): \(n = \dfrac{25.0}{169.87} \approx 0.147\ \mathrm{mol}\)
Mass composition visualization
Common pitfalls
- Confusion between grams of AgNO3 and grams of elemental silver; the compound includes nitrate mass.
- Oxygen subscript omission; AgNO3 contains three oxygen atoms, contributing nearly 48 g/mol.
- Minor numerical differences across periodic tables; consistent rounding within one dataset keeps stoichiometry coherent.