🥩 WIA-AGRI-019: Lab-Grown Food Simulator

POST /api/v1/cultures
Content-Type: application/json

{
  "cellLine": "bovine-satellite-v2",
  "batchId": "BATCH-2025-001",
  "bioreactorId": "BR-A1",
  "initialDensity": 5e5,
  "targetDensity": 1e7,
  "parameters": {
    "pH": 7.2,
    "temperature": 37.0,
    "dissolvedOxygen": 30,
    "glucose": 4.5
  }
}

GET /api/v1/cultures/{batchId}/status

Response:
{
  "batchId": "BATCH-2025-001",
  "status": "proliferation",
  "cellDensity": 8.5e6,
  "viability": 95.2,
  "pH": 7.18,
  "temperature": 37.1,
  "dissolvedOxygen": 28.5,
  "glucose": 2.3,
  "timeElapsed": 72
}

POST /api/v1/quality/test
Content-Type: application/json

{
  "batchId": "BATCH-2025-001",
  "tests": [
    "microbiological",
    "nutritional",
    "allergen",
    "sensory"
  ]
}

Materials:
- Bovine muscle biopsy (5-10g)
- Dulbecco's Modified Eagle Medium (DMEM)
- Fetal Bovine Serum (FBS) 10% v/v
- Penicillin/Streptomycin (1% v/v)
- Growth factors: FGF-2 (5ng/mL), EGF (10ng/mL)

Procedure:
1. Dissect muscle tissue, remove connective tissue
2. Mince tissue into 1-2mm pieces
3. Enzymatic digestion: 0.2% collagenase, 37°C, 2h
4. Filter through 70μm cell strainer
5. Centrifuge 300g, 5min
6. Resuspend in growth medium
7. Seed at 5×10⁴ cells/cm²
8. Incubate 37°C, 5% CO₂
9. Monitor daily, passage at 80% confluence
                    

Bioreactor Setup:
- Type: Stirred-tank bioreactor (5L working volume)
- Agitation: 60-80 RPM
- Aeration: 0.1-0.2 vvm
- Temperature: 37.0 ± 0.5°C
- pH: 7.2 ± 0.1 (controlled with CO₂/NaOH)
- DO: 30 ± 5% (controlled with O₂/N₂)

Process:
1. Inoculate with 5×10⁵ cells/mL
2. Monitor cell density every 24h
3. Feed with glucose when <2g/L
4. Add glutamine when <1mM
5. Harvest at 1×10⁷ cells/mL
6. Cell viability must be >90%
                    

Differentiation Medium:
- DMEM with 2% horse serum
- Insulin (10μg/mL)
- Transferrin (5.5μg/mL)
- Selenium (5ng/mL)
- Dexamethasone (0.4μM)

Scaffold Integration:
1. Prepare plant protein scaffold (soy/pea blend)
2. Sterilize with 70% ethanol, rinse PBS
3. Seed cells at 2×10⁶ cells/cm³
4. Apply mechanical stimulation: 1Hz, 10% strain
5. Culture for 14 days with medium change every 2 days
6. Monitor tissue formation via microscopy
                    

Quality Tests:
1. Microbiological Testing
   - Total viable count: <10⁴ CFU/g
   - E. coli: Not detected
   - Salmonella: Not detected
   - Listeria: Not detected

2. Nutritional Analysis
   - Protein content: >15g/100g
   - Fat content: <10g/100g
   - Amino acid profile
   - Vitamin B12, Iron levels

3. Safety Testing
   - Heavy metals (Pb, Cd, Hg, As)
   - Allergen screening
   - Mycotoxin analysis
   - Antibiotic residues

4. Sensory Evaluation
   - Color, texture, odor assessment
   - Trained panel evaluation
   - Consumer acceptance testing
                    

import { LabGrownFoodAPI, CellCultureConfig, BioreactorControl } from '@wia/agri-019';

// Initialize API client
const client = new LabGrownFoodAPI({
  apiKey: process.env.WIA_API_KEY,
  endpoint: 'https://api.wia.org/v1'
});

// Configure cell culture
const config: CellCultureConfig = {
  cellLine: 'bovine-satellite-v2',
  batchId: 'BATCH-2025-001',
  bioreactorId: 'BR-A1',
  parameters: {
    pH: 7.2,
    temperature: 37.0,
    dissolvedOxygen: 30,
    glucose: 4.5,
    glutamine: 4.0
  },
  growthFactors: ['FGF-2', 'EGF', 'IGF-1']
};

// Start culture
const batch = await client.cultures.create(config);
console.log(`Culture started: ${batch.id}`);

// Monitor in real-time
const monitor = client.cultures.monitor(batch.id);
monitor.on('data', (data) => {
  console.log(`Cell density: ${data.cellDensity}`);
  console.log(`Viability: ${data.viability}%`);

  // Auto-adjust parameters
  if (data.glucose < 2.0) {
    client.bioreactor.feedGlucose(batch.id, 2.0);
  }

  if (data.pH < 7.1) {
    client.bioreactor.adjustPH(batch.id, 7.2);
  }
});

// Quality control
const qcResults = await client.quality.runTests(batch.id, [
  'microbiological',
  'nutritional',
  'allergen',
  'sensory'
]);

if (qcResults.passed) {
  await client.batch.approve(batch.id);
  console.log('Batch approved for processing');
}
                    

from wia_agri_019 import LabGrownFoodClient, CellCulture

# Initialize client
client = LabGrownFoodClient(api_key="your-api-key")

# Create culture batch
culture = CellCulture(
    cell_line="bovine-satellite-v2",
    batch_id="BATCH-2025-001",
    bioreactor_id="BR-A1",
    parameters={
        "pH": 7.2,
        "temperature": 37.0,
        "dissolved_oxygen": 30,
        "glucose": 4.5
    }
)

# Start cultivation
batch = client.start_culture(culture)

# Monitor progress
for status in client.monitor_culture(batch.id):
    print(f"Day {status.day}: {status.cell_density:.2e} cells/mL")

    # Automated feeding
    if status.glucose < 2.0:
        client.feed_nutrient(batch.id, "glucose", 2.0)

    # Check for completion
    if status.cell_density >= 1e7:
        break

# Run quality tests
qc = client.quality_control(batch.id)
print(f"Protein content: {qc.protein}g/100g")
print(f"Microbiological: {qc.microbiology.status}")
                    

// Arduino/ESP32 bioreactor sensor integration
#include <WiFi.h>
#include <HTTPClient.h>
#include <ArduinoJson.h>

const char* WIA_ENDPOINT = "https://api.wia.org/v1/bioreactor/telemetry";
const char* API_KEY = "your-api-key";

void sendTelemetry() {
  HTTPClient http;
  StaticJsonDocument<512> doc;

  // Read sensors
  float pH = readpHSensor();
  float temp = readTempSensor();
  float DO = readDOSensor();

  // Build JSON payload
  doc["bioreactorId"] = "BR-A1";
  doc["batchId"] = "BATCH-2025-001";
  doc["timestamp"] = millis();
  doc["pH"] = pH;
  doc["temperature"] = temp;
  doc["dissolvedOxygen"] = DO;

  String payload;
  serializeJson(doc, payload);

  // Send to WIA
  http.begin(WIA_ENDPOINT);
  http.addHeader("Content-Type", "application/json");
  http.addHeader("X-API-Key", API_KEY);

  int httpCode = http.POST(payload);

  if (httpCode == 200) {
    // Check for control commands
    String response = http.getString();
    parseControlCommands(response);
  }

  http.end();
}