Scientific sustainability report — Chat Masala Powder

Functional unit: 1 kg retail-ready Chat Masala Powder (cradle → distribution)

1 — Executive summary (headline)

Under the conservative, literature-anchored assumptions below, the estimated cradle → distribution GHG footprint for 1 kg Chat Masala Powder is ≈ 2.64 kg CO₂-eq per kg. Agriculture (raw spices) is the largest contributor, followed by processing energy (grinding + modest additional drying), then packaging and transport. Key load-bearing data sources are cited after the assumptions. smart-freight-centre-media.s3.amazonaws.com+4Central Electricity Authority+4PMC+4

2 — Product definition & system boundary

• Product: Chat Masala Powder (typical blend: dry mango powder/amchur, black salt/kala namak, roasted cumin, black pepper, dried ginger, chaat masala spices — composition varies by recipe). Ingredient mix matters because individual spice upstream intensities differ.

• Functional unit: 1 kg finished retail powder.

• System boundary (cradle → distribution): agriculture of component spices → cleaning/drying (if required) → grinding/roasting/blending → primary packaging (retail pouch) → transport farm→mill→distribution centre. Excludes consumer use and end-of-life treatment beyond embodied packaging.

3 — Key assumptions (explicit — change any to re-run)

These are the most important numbers used in the calculation (I give sources for each).

1. Agriculture / upstream (lumped): 1.90 kg CO₂e per kg finished blend — aggregated fertilizer, field diesel, soil N₂O, irrigation and primary handling for mixed spices. (Spices often have moderate farm-stage emissions; blending averages them.) PMC+1

2. Grinding (milling) energy: 0.309 kWh per kg (≈309 kWh/tonne) — a representative specific energy for fine powder milling in stirred/ball mills. PMC+1

3. Drying / conditioning: 0.50 kWh per kg (assumes most raw spices are already dried but some ingredients — amchur, certain chillies or residual moisture — may need modest conditioning; this is a conservative, moderate value). Solar or sun-drying would lower this. (Drying specific energy varies widely by dryer design; see sources.) worldresearchersassociations.com+1

4. Electricity carbon intensity (India grid): 0.716 kg CO₂ per kWh (CEA unified grid baseline for FY2022–23). Central Electricity Authority

5. Packaging: 30 g PE pouch per kg product (0.03 kg PE/kg). Embodied emission for PE: 2.6 kg CO₂e per kg PE (typical cradle-to-gate LCIs). American Chemistry Council+1

6. Transport: road freight emission factor 0.33 kg CO₂ per tonne-km, total distance assumed 250 km (50 km farm→mill + 200 km mill→DC). teriin.org+1

Note: where product-specific LCI data are available (e.g., measured kWh for your mill, actual pouch grams, ingredient-level farm emissions) the calculation becomes more accurate. I used conservative, literature-supported values and clearly flagged them above.

4 — Step-by-step GHG calculation (digit-by-digit) — 1 kg basis

We compute each life-cycle stage and then sum.

4.1 Processing electricity — grinding & drying

• Grinding emissions = grinding_kWh × grid_EF
  = 0.309 kWh/kg × 0.716 kgCO₂/kWh
  = 0.309 × 0.716
  = (0.309 × 0.700) + (0.309 × 0.016)
  = 0.216300 + 0.004944 = 0.221244 kg CO₂e / kg. PMC+1

• Drying emissions = drying_kWh × grid_EF
  = 0.500 kWh/kg × 0.716 kgCO₂/kWh
  = 0.500 × 0.716 = (0.5 × 0.700) + (0.5 × 0.016) = 0.350000 + 0.008000 = 0.358000 kg CO₂e / kg. worldresearchersassociations.com+1

• Processing subtotal = 0.221244 + 0.358000 = 0.579244 kg CO₂e / kg.

4.2 Packaging emissions

• Packaging mass × EF = 0.03 kg × 2.6 kgCO₂/kg = 0.03 × 2.6 = (0.03 × 2.0) + (0.03 × 0.6) = 0.060 + 0.018 = 0.078000 kg CO₂e / kg. American Chemistry Council

4.3 Transport emissions (road)

• Road emissions = 0.33 kgCO₂ / t-km × 0.001 t/kg × 250 km
  = 0.33 × 0.001 × 250 = 0.33 × 0.25 = 0.082500 kg CO₂e / kg. teriin.org

4.4 Agriculture / upstream

• Assumed agriculture upstream = 1.900000 kg CO₂e / kg. (See notes above & refs.) PMC

4.5 Grand total (add stepwise)

List the terms (4 decimal places shown where helpful):

• Agriculture = 1.900000 kg

• Processing (grind + dry) = 0.579244 kg
  → subtotal = 1.900000 + 0.579244 = 2.479244

• Add packaging = 2.479244 + 0.078000 = 2.557244

• Add transport = 2.557244 + 0.082500 = 2.639744 kg CO₂e / kg

Final rounded value: ≈ 2.64 kg CO₂-eq per kg Chat Masala Powder (cradle → distribution).

5 — Component shares (percentage of total)

(using the numbers above)

• Agriculture / upstream: 1.900 / 2.639744 = 72.0%

• Processing (grinding + drying): 0.579244 / 2.639744 = 21.9%

• Packaging: 0.078000 / 2.639744 = 3.0%

• Transport: 0.082500 / 2.639744 = 3.1%

Takeaway: farm-stage dominates (typical for spice blends), processing (especially drying/conditioning) is the second-largest contributor.

6 — Sensitivity & uncertainty (short — swap one variable at a time)

1. If drying is near-zero (sun/solar drying; drying_kWh = 0.0): subtract 0.358 → total ≈ 2.282 kg CO₂e/kg. Solar drying is high-leverage but must be hygienic to meet quality/safety standards. ResearchGate+1

2. If upstream suppliers are low-input (agriculture = 1.2 kg CO₂e/kg): new total = 1.2 + 0.579244 + 0.078 + 0.0825 = 1.939744 kg CO₂e/kg (big reduction). Good supplier agronomy matters. PMC

3. If mill runs on onsite solar (processing EF → 0): remove processing 0.579244 → total = 1.9 + 0 + 0.078 + 0.0825 = 2.0605 kg CO₂e/kg (processing electrification + renewables is effective). Central Electricity Authority

4. If packaging is lighter (20 g PE/kg vs 30 g): packaging becomes 0.02 × 2.6 = 0.052 → total reduces ≈ 0.026 kg → new total ≈ 2.614 kg CO₂e/kg. Packaging changes help but are second-order here.

7 — Practical mitigation recommendations (priority order)

1. Supplier agronomy improvements (biggest lever): reduce fertilizer N use, adopt precision nutrient management, source higher yields and low-input growers, and favour rainfed or integrated systems where suitable — this reduces the farm-stage per-kg emission. PMC

2. Low-energy drying / solar tunnel: where drying/conditioning is required, use hygienic solar tunnels or solar-assisted dryers to cut grid electricity for drying. This can reduce processing emissions dramatically. worldresearchersassociations.com+1

3. Renewable electricity for the mill: rooftop PV or green-tariff procurement eliminates processing emissions rapidly. Central Electricity Authority

4. Packaging optimization: reduce pouch gram-weight, increase PCR (post-consumer recycled) content, and prefer mono-material recyclable pouches. Packaging reductions are a tidy win for circularity. American Chemistry Council

5. Logistics optimization: consolidate loads, improve truck fill-factor, and evaluate rail for long legs where possible (rail t-km emissions are lower than road). teriin.org

   Primary references / sources used (for the key numbers)

   (These support the five most load-bearing assumptions and other inputs.)

   1. India grid emission factor (CEA) — CO₂ Baseline Database for the Indian Power Sector — unified grid emission factor ≈ 0.716 kg CO₂ / kWh (FY2022–23). Central Electricity Authority

   2. Grinding energy (fine milling) — Elbendari et al. / grinding literature showing ~309 kWh/tonne (0.309 kWh/kg) examples for fine powder milling. PMC+1

   3. Drying specific energy & solar tunnel dryer examples — practical studies reporting widely varying SECs for solar tunnel or forced drying (examples include SECs in the 0.5–6 kWh/kg range depending on crop & dryer); used to choose a conservative 0.5 kWh/kg for modest conditioning. worldresearchersassociations.com+1

   4. Plastics LCI (PE) — cradle-to-gate LCA reports for polyethylene showing LDPE/LLDPE embodied emissions in the ~2.6–2.9 kg CO₂e/kg range (used 2.6 kgCO₂/kg). American Chemistry Council+1

   5. Road freight / India freight EF methodologies — TERI / Smart Freight Centre and Indian freight EF documents for tonne-km emission factors (used 0.33 kgCO₂/t-km). teriin.org+1

   (Additional background on crop/food LCAs and spices/agriculture was reviewed to set a reasonable upstream assumption.) PMC+1