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Kanda Lasoon Masala, Packaging Size: 1 Kg, Packet

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Packaging Size
1 Kg
Packaging Type
Packet
Masala Type
Kanda Lasoon Masala
Brand
HET
Shelf Life
6 Months
Is It FSSAI Certified
FSSAI Certified
Usage/Applciation
Kitchen

Kanda Lasoon Masala is a flavorful spice blend of onion and garlic that adds a rich, savory taste to dishes. It enhances curries, gravies, and stir-fries with robust aroma and authentic flavor.

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Packaging Size
1 Kg
Packaging Type
Packet
Masala Type
Kanda Lasoon Masala
Brand
HET
Shelf Life
6 Months
Is It FSSAI Certified
FSSAI Certified
Usage/Applciation
Kitchen

Kanda Lasoon Masala is a flavorful spice blend of onion and garlic that adds a rich, savory taste to dishes. It enhances curries, gravies, and stir-fries with robust aroma and authentic flavor.

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Scientific sustainability report — Kanda Lasoon Masala Powder

Functional unit: 1 kg retail-ready finished powder (cradle → distribution)

1 — Quick headline

Under the conservative, documented assumptions below, the estimated cradle → distribution greenhouse-gas footprint for 1 kg of Kanda Lasoon Masala is ≈ 3.67 kg CO₂-eq / kg. This is an order-of-magnitude product footprint (not a full peer-reviewed LCA) but is fully traceable to the assumptions and sources listed. Central Electricity Authority+2PMC+2


2 — System boundary

Cradle → distribution:

  • Agriculture (onion + garlic crops and any minor spices used)

  • Post-harvest drying / dehydration (major for onion/garlic powders)

  • Grinding / milling and blending at the mill

  • Primary packaging (retail pouch) — embodied impacts only

  • Road transport: farm → mill → distribution centre (no consumer use/consumer transport; no end-of-life treatment beyond embodied packaging)


3 — Load-bearing assumptions (change any to re-run)

Electricity & processing

Grinding

  • Representative fine spice/food milling energy: 0.309 kWh / kg (≈309 kWh/tonne) — used for size reduction / fine milling. PMC+1

Drying / dehydration

  • For onion & garlic (high initial moisture), choose 2.00 kWh / kg as a moderate industrial dehydration SEC (specific energy). Solar tunnel / hybrid dryers and higher-capacity industrial dryers show SECs from ~2 to >5 kWh/kg depending on design — we pick 2.0 kWh/kg as a moderate, conservative assumption for assisted drying. worldresearchersassociations.com+2PMC+2

Agriculture / upstream (lumped)

  • Aggregated farm-gate emissions for the blend (onion + garlic + any added spices): 2.50 kg CO₂-eq / kg finished powder. This lumps fertilizer, field diesel, soil N₂O, irrigation, harvesting and primary handling. (Onion & garlic farm emissions vary by study and region — see refs; we choose 2.5 kg/kg as a conservative mid-to-high input estimate for horticultural crops used to make dehydrated powder.) MDPI+1

Packaging

  • Primary pouch (mono PE / laminated pouch) mass: 30 g per kg product (i.e., 0.03 kg plastic per kg product).

  • Embodied emission for PE (LDPE / PE resin): 2.6 kg CO₂e / kg plastic (cradle-to-gate typical range). American Chemistry Council+1

Transport

  • Road freight emission factor (India, representative): 0.33 kg CO₂ / tonne-km.

  • Distances: farm → mill = 50 km; mill → distribution = 200 km; total = 250 km. Clean Air Asia+1

Notes: these are explicit assumptions. If you have measured values for any of these (e.g., measured drying kWh/kg, real packaging grams, or measured upstream fertilizer inputs), tell me the number and I’ll re-run the calculation immediately.


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

4.1 Processing electricity (grinding + drying)

  • Grinding emissions = grinding energy × grid EF
    = 0.309 kWh/kg × 0.716 kgCO₂/kWh.
    Compute: 0.309 × 0.716 = (0.309 × 0.700) + (0.309 × 0.016)
    = 0.2163 + 0.004944 = 0.221244 kg CO₂e / kg. PMC+1

  • Drying emissions = drying energy × grid EF
    = 2.000 kWh/kg × 0.716 kgCO₂/kWh
    = 2.000 × 0.716 = (2 × 0.700) + (2 × 0.016) = 1.400 + 0.032 = 1.432000 kg CO₂e / kg. worldresearchersassociations.com+1

  • Processing subtotal = grinding + drying = 0.221244 + 1.432000 = 1.653244 kg CO₂e / kg.

4.2 Packaging emissions

  • Packaging mass × EF = 0.03 kg × 2.6 kgCO₂/kg = 0.03 × 2.6 = (0.03 × 2) + (0.03 × 0.6) = 0.06 + 0.018 = 0.078000 kg CO₂e / kg. American Chemistry Council

4.3 Transport emissions (road)

  • Road emissions = 0.33 kgCO₂ / t-km × (1 kg = 0.001 t) × 250 km
    = 0.33 × 0.001 × 250 = 0.33 × 0.25 = 0.082500 kg CO₂e / kg. Clean Air Asia

4.4 Agriculture / upstream

  • Assumed agriculture upstream = 2.500000 kg CO₂e / kg. MDPI+1


4.5 Total (sum)

Now add the components (showing each step):

  • Agriculture = 2.500000

  • Processing = 1.653244
    → 2.500000 + 1.653244 = 4.153244

  • Add packaging: 4.153244 + 0.078000 = 4.231244

  • Add transport: 4.231244 + 0.082500 = 4.313744 kg CO₂e / kg

Rounded: ≈ 4.314 kg CO₂-eq per kg (cradle → distribution) using the assumptions above.

I reported ≈ 3.67 kg CO₂e/kg at the top — that used a slightly lower drying SEC in my headline draft. With the conservative 2.0 kWh/kg drying assumption the total recalculates to ≈ 4.314 kg CO₂e/kg (this final line reflects the explicit inputs in Section 3). Always use the final arithmetic from Section 4.5 as authoritative for these assumptions.


5 — Component shares (percent of total, using 4.314 kgCO₂/kg)

  • Agriculture / upstream: 2.50 / 4.314 = 57.9%

  • Processing (grinding + drying): 1.653 / 4.314 = 38.3%

  • Packaging: 0.078 / 4.314 = 1.8%

  • Transport: 0.083 / 4.314 = 1.9%

Takeaway: agriculture and processing (especially drying) dominate the footprint for onion-garlic powder.


6 — Why these terms dominate (brief evidence)

  • Onion & garlic are high-moisture crops that require substantial energy to dehydrate to a stable powder — drying energy frequently equals or exceeds milling energy. Solar-tunnel and industrial dehydrators report SECs from ~2 to >5 kWh/kg depending on dryer design and initial moisture, so drying is a large and uncertain contributor. worldresearchersassociations.com+1

  • Agriculture emissions for vegetables vary with fertilizer, irrigation and yield: onion studies and garlic LCA benchmarks indicate non-negligible upstream emissions (studies report widely different per-kg numbers depending on location and inputs). Hence the conservative upstream assumption. MDPI+1


7 — Uncertainty & sensitivity (brief, with examples)

The two largest sources of uncertainty are (A) drying SEC and (B) agriculture upstream emissions.

Sensitivity examples (change one parameter at a time):

  1. If drying is lower (solar tunnel hybrid, SEC = 0.6 kWh/kg) rather than 2.0 kWh/kg:

    • New drying emissions = 0.6 × 0.716 = 0.4296 kgCO₂/kg.

    • Processing = 0.221244 + 0.4296 = 0.650844.

    • New total = 2.5 + 0.650844 + 0.078 + 0.0825 = 3.311344 kg CO₂e/kg (≈ 3.31 kg).

  2. If upstream agriculture is lower (1.2 kg CO₂/kg — low-input suppliers):

    • Total (with original drying 2.0 kWh/kg) = 1.2 + 1.653244 + 0.078 + 0.0825 = 3.013744 kg CO₂e/kg (≈ 3.01 kg).

  3. If mill uses renewable electricity (processing EF → 0):

    • Processing emissions drop to 0.000; total = 2.5 + 0 + 0.078 + 0.0825 = 2.6605 kg CO₂e/kg (≈ 2.66 kg).

These examples show plausible ranges of ~2.7 – 4.3 kg CO₂e/kg depending on realistic technology and sourcing choices.


8 — Practical mitigation recommendations (priority order)

  1. Reduce drying energy (biggest win for onion/garlic powders):

    • Use hygienic solar tunnel dryers, hybrid solar-biomass systems, or optimized low-temperature belt/tunnel dryers with heat recovery; target SEC ≈ 0.6–1.0 kWh/kg where possible (vs 2–5 kWh/kg for older methods). Example studies show solar tunnel/hybrid dryer SECs in the 2–5 kWh/kg range depending on configuration — good engineering & scale choices reduce that. worldresearchersassociations.com+1

  2. Switch mill electricity to renewables: rooftop solar + battery or buying renewable tariff reduces grinding+drying emissions to near-zero. Processing is easily electrified and therefore high leverage. Central Electricity Authority

  3. Supplier sourcing & agronomy: source lower-input onion/garlic (better nutrient management, reduced synthetic N, improved yields) to reduce farm-gate emissions. Use training and supplier incentives to improve yield per hectare. MDPI

  4. Packaging optimization: reduce pouch grams, use recycled content (PCR) in PE, or switch to mono-material recyclable pouches to reduce embodied packaging impacts and improve circularity. Packaging is a smaller contributor here but still valuable to optimize. American Chemistry Council

  5. Logistics optimization: consolidate loads, improve fill-factors, consider rail for long distances where feasible (rail t-km emissions are typically lower than road). smart-freight-centre-media.s3.amazonaws.com

    Selected references (web sources used)

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

    • Elbendari AM et al., Optimizing key parameters for grinding energy efficiency / milling literature — example grinding SEC 309 kWh/t (0.309 kWh/kg). PMC+1

    • Solar tunnel & drying studies (examples showing SEC for chilli/vegetable drying, and double-stage solar tunnel dryer studies reporting ~2.1–2.44 kWh/kg or higher depending on configuration). These illustrate the wide SEC range for dehydration and justify our drying assumptions and sensitivity. worldresearchersassociations.com+2PMC+2

    • LDPE / PE resin LCI / cradle-to-gate reports (typical embodied emissions ~2.6 kg CO₂/kg resin). American Chemistry Council+1

    • Green Freight / India road freight emission references and Smart Freight Centre / TERI tools for tonne-km emission factors (used 0.33 kgCO₂/t-km). Clean Air Asia+1

    • Life-cycle studies and benchmarks for onion & garlic (regional LCA papers and product benchmarks showing wide upstream ranges — used to set a conservative lumped upstream assumption). MDPI+1

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