Javascript – Why Am I Having NaN Error For Some Nutritional Values Within Nutritionix API Search?

Context:
I have a script that utilizes the Nutritionix API to retrieve nutritional values for various food items. While the API returns valid values for some nutrients, it returns ‘NaN’ for others. I suspect this issue could be due to my usage of the free version of the API or a potential error in my code, possibly related to the item IDs. (An example of what I mean by item IDs includes nf_biotin and nf_iron, both of which should be returning values and working correctly.)

Script:

let table = base.getTable('Raw Meals 2')
let {records} = await table.selectRecordsAsync()
console.log(records)

for (let record of records){
 const url = 'https://trackapi.nutritionix.com/v2/natural/nutrients';
 const options = {
  method: 'POST',
  headers: {
      'Content-type' : 'application/json',
      'x-app-key':'--',
      'x-app-id': '--'
      },
   body: JSON.stringify({
     'query':`${record.name}`
   })
  }
 let Response = await fetch (url,options);
 let data = await Response.json();
//WORKING
 const calories = data.foods.reduce((acc, item) => acc + item.nf_calories, 0)
 const protein = data.foods.reduce((acc, item) => acc + item.nf_protein, 0)
 const carbs = data.foods.reduce((acc, item) => acc + item.nf_total_carbohydrate, 0)
 const fat = data.foods.reduce((acc, item) => acc + item.nf_total_fat, 0)
 const saturatedfat = data.foods.reduce((acc, item) => acc + item.nf_saturated_fat, 0)
 const sugars = data.foods.reduce((acc, item) => acc + item.nf_sugars, 0)
 const cholesterol = data.foods.reduce((acc, item) => acc + item.nf_cholesterol, 0)
 const fiber = data.foods.reduce((acc, item) => acc + item.nf_dietary_fiber, 0)
 const potassium = data.foods.reduce((acc, item) => acc + item.nf_potassium, 0)
 const sodium = data.foods.reduce((acc, item) => acc + item.nf_sodium, 0)
 //NOT WORKING (NaN)
 const addsugars = data.foods.reduce((acc, item) => acc + item.nf_added_sugars, 0)
 const vita = data.foods.reduce((acc, item) => acc + item.nf_vitamin_a, 0)
 const vitb1 = data.foods.reduce((acc, item) => acc + item.nf_thiamin, 0)
 const vitb2 = data.foods.reduce((acc, item) => acc + item.nf_riboflavin, 0)
 const vitb3 = data.foods.reduce((acc, item) => acc + item.nf_niacin, 0)
 const vitb5 = data.foods.reduce((acc, item) => acc + item.nf_panthothenic_acid, 0)
 const vitb6 = data.foods.reduce((acc, item) => acc + item.nf_vitamin_b6, 0)
 const vitb7 = data.foods.reduce((acc, item) => acc + item.nf_biotin, 0)
 const vitb9 = data.foods.reduce((acc, item) => acc + item.nf_folate, 0)
 const vitb12 = data.foods.reduce((acc, item) => acc + item.nf_vitamin_b12, 0)
 const vitc = data.foods.reduce((acc, item) => acc + item.nf_vitamin_c, 0)
 const vitd = data.foods.reduce((acc, item) => acc + item.nf_vitamin_d, 0)
 const vite = data.foods.reduce((acc, item) => acc + item.nf_vitamin_e, 0)
 const vitk = data.foods.reduce((acc, item) => acc + item.nf_vitamin_k, 0)
 const transfat = data.foods.reduce((acc, item) => acc + item.nf_trans_fat, 0) 
 const monofat = data.foods.reduce((acc, item) => acc + item.nf_monounsaturated_fat, 0)
 const polyfat = data.foods.reduce((acc, item) => acc + item.nf_polyunsaturated_fat, 0)
 const ftype = data.foods.reduce((acc, item) => acc + item.food_type, 0)
 const fcateg = data.foods.reduce((acc, item) => acc + item.food_category, 0)
 const calcium = data.foods.reduce((acc, item) => acc + item.nf_calcium, 0)
 const iron = data.foods.reduce((acc, item) => acc + item.nf_iron, 0)
 const selenium = data.foods.reduce((acc, item) => acc + item.nf_selenium, 0)
 const zinc = data.foods.reduce((acc, item) => acc + item.nf_zinc, 0)
 const magnesium = data.foods.reduce((acc, item) => acc + item.nf_magnesium, 0)
 const phosphorus = data.foods.reduce((acc, item) => acc + item.nf_phosphorus, 0)
 const omega3 = data.foods.reduce((acc, item) => acc + item.nf_omega_3_total, 0)
 const omega6 = data.foods.reduce((acc, item) => acc + item.nf_omega_6_total, 0)
 const aminos = data.foods.reduce((acc, item) => acc + item.nf_amino_acids, 0)
 const lysine = data.foods.reduce((acc, item) => acc + item.nf_lysin, 0)
 const leucine = data.foods.reduce((acc, item) => acc + item.nf_leucine, 0)
 const isoleucine = data.foods.reduce((acc, item) => acc + item.nf_isoleucine, 0)
 const valine = data.foods.reduce((acc, item) => acc + item.nf_valine, 0)
 const threonine = data.foods.reduce((acc, item) => acc + item.nf_threonine, 0)
 const phenylalanine = data.foods.reduce((acc, item) => acc + item.nf_phenylalanine, 0)
 const methionine = data.foods.reduce((acc, item) => acc + item.nf_methionine, 0)
 const histidine = data.foods.reduce((acc, item) => acc + item.nf_histidine, 0)
 const tryptophan = data.foods.reduce((acc, item) => acc + item.nf_tryptophan, 0)
 const betacarotene = data.foods.reduce((acc, item) => acc + item.nf_beta_carotene, 0)
 const lycopene = data.foods.reduce((acc, item) => acc + item.nf_lycopene, 0)
 const lutein = data.foods.reduce((acc, item) => acc + item.nf_lutein, 0)
 const zeaxanthin = data.foods.reduce((acc, item) => acc + item.nf_zeaxanthin, 0)
 const flavonoids = data.foods.reduce((acc, item) => acc + item.nf_flavonoids, 0)
 const polyphenols = data.foods.reduce((acc, item) => acc + item.nf_polyphenols, 0)
 const caffeine = data.foods.reduce((acc, item) => acc + item.nf_caffeine, 0)
 const alcohol = data.foods.reduce((acc, item) => acc + item.nf_alcohol, 0)
 const gi = data.foods.reduce((acc, item) => acc + item.nf_glycemic_index, 0)
 await table.updateRecordAsync(record, {
   'Calories' : calories,
   'Protein' : protein,
   'Total Carbohydrate' : carbs,
   'Total Fat' : fat,
   'Saturated Fat' : saturatedfat,
   'Dietary Fiber' : fiber,
   'Cholesterol' : cholesterol,
   'Sodium' : sodium,
   'Potassium' : potassium,
   'Sugars' : sugars
 })
}

Goal:
My goal is to have all nutritional values written within the //NOT WORKING section of script communicate actual values from the API not NaN.