4.6.5 · Chemistry › Polymers
Ek polymer sample waisa nahi hota jaise sugar, jahan har molecule identical hota hai. Jab tum polymerize karte ho, chains alag-alag lengths tak grow karti hain — kuch chhoti, kuch bahut badi. Isliye koi ek "molecular weight" nahi hota. Hum averages report karte hain. Sawaal yeh hai: unequal molecules ki bheed ka average kaise nikaalte ho? Jawab depend karta hai is baat par ki tum molecules ki count se average karo ya mass se — aur yahi ek choice humein do alag averages deti hai.
Definition Polymer ki distribution
Ek polymer sample mein N i molecules hote hain, har ek ki molar mass M i hoti hai.
N i = type i ke molecules ki sankhya (length i )
M i = us type ki molar mass
Toh sample ek mixture hai alag-alag lengths ki bahut saari "species" ka.
In masses ka average lene ke do honest tarike hain.
Intuition Yeh average kyun
Socho ki har ek molecule ko line mein khada kar rahe ho aur pooch rahe ho "average mass per molecule kya hai?" Har molecule ko ek vote milta hai, chahe woh kitna bhi bada ho. Ek chhoti chain bilkul utna hi count karti hai jitna ek giant chain.
Derivation (first principles):
Sample ka total mass = har type ki (number × mass) ka sum:
Total mass = ∑ i N i M i
Molecules ki total sankhya:
Total number = ∑ i N i
Per molecule average mass = total mass ÷ total number:
Yeh bas ordinary arithmetic mean hai jo kitne molecules hain us hisaab se weighted hai.
Intuition Yeh average kyun
Ab har molecule ko kitna mass contribute karta hai us hisaab se weight karo, na ki kitne hain us hisaab se. Ek bada molecule "zyada bol-ta hai" kyunki woh zyada mass carry karta hai. Light scattering jaisi techniques physically mass ke hisaab se respond karti hain, isliye woh naturally yahi average measure karti hain.
Derivation (first principles):
Species i ka weight fraction (total mass mein uska hissa):
w i = ∑ j N j M j N i M i
Mass-fraction se weighted average mass:
M ˉ w = ∑ i w i M i = ∑ j N j M j ∑ i N i M i ⋅ M i
M ki extra power kyun hai
M ˉ n mein har molecule M i ek baar contribute karta hai. M ˉ w mein pehle mass se weight karte hain (N i M i ), phir M i pe dobara average karte hain → upar M i 2 aa jaata hai. Yahi square hai jo badi chains ko dominate karaata hai.
Intuition PDI ≥ 1 hamesha kyun hota hai
Kyunki M ˉ w bade molecules ko zyada heavily count karta hai, yeh hamesha ≥ M ˉ n hota hai. Dono equal hote hain sirf tab jab har molecule ki same mass ho (monodisperse). Jitni zyada lengths mein spread hogi, utna bada gap, utna bada PDI.
PDI value
Matlab
= 1
Saari chains identical (monodisperse ). Natural polymers (proteins, DNA)
≈ 1.5 –2
Bahut saare addition (free-radical) polymers, termination mode ke hisaab se
→ 2 high conversion par
Step-growth/condensation polymers (Flory most-probable distribution, PDI = 1 + p )
> 2 (bahut bada tak)
Broad distributions, jaise kuch coordination/chain-transfer-dominated processes
Worked example Example 1 — ek chhota 3-molecule sample
Sample: mass 10 ke 2 molecules, mass 20 ke 3 molecules.
Step 1 — M ˉ n :
M ˉ n = 2 + 3 ( 2 ) ( 10 ) + ( 3 ) ( 20 ) = 5 20 + 60 = 5 80 = 16
Yeh step kyun? Total mass divided by total count — har molecule ko ek vote.
Step 2 — M ˉ w :
M ˉ w = ( 2 ) ( 10 ) + ( 3 ) ( 20 ) ( 2 ) ( 10 ) 2 + ( 3 ) ( 20 ) 2 = 80 200 + 1200 = 80 1400 = 17.5
Yeh step kyun? Numerator mein M 2 use hota hai isliye heavier mass-20 chains dominate karti hain.
Step 3 — PDI:
PDI = 16 17.5 = 1.094
Yeh step kyun? 1 se thoda upar → mild spread. Notice karo M ˉ w > M ˉ n . ✓
Worked example Example 2 — equal numbers, bahut alag sizes
Mass 100 ka 1 molecule, mass 10000 ka 1 molecule.
M ˉ n = 2 100 + 10000 = 5050
M ˉ w = 100 + 10000 10 0 2 + 1000 0 2 = 10100 1 0 4 + 1 0 8 = 10100 100010000 ≈ 9902
PDI = 5050 9902 ≈ 1.96
Yeh step kyun? Equal numbers hone ke bawajood, ek giant chain mein almost saara mass hai, isliye M ˉ w 10000 ki taraf jaata hai jabki M ˉ n beech mein baith jaata hai. Bada gap → PDI 2 ke paas.
Worked example Example 3 — monodisperse check
5 molecules, sab ki mass 50.
M ˉ n = 5 5 ( 50 ) = 50 , M ˉ w = 5 ( 50 ) 5 ( 50 ) 2 = 50 5 0 2 = 50
PDI = 1
Yeh step kyun? Sab identical → dono averages ek hi number par aa jaate hain. PDI = 1 ki boundary confirm ho jaati hai.
Recall Compute karne se pehle predict karo
Sample: 4 chains of mass 1000, 1 chain of mass 5000.
Forecast: Kya M ˉ w 1000 ke paas rahega ya upar shift hoga? PDI Ex.1 se bada hoga ya chhota?
Verify:
M ˉ n = 5 4 ( 1000 ) + 5000 = 5 9000 = 1800
M ˉ w = 9000 4 ( 1000 ) 2 + ( 5000 ) 2 = 9000 4 × 1 0 6 + 25 × 1 0 6 = 9000 29 × 1 0 6 ≈ 3222
PDI = 3222/1800 ≈ 1.79 . Woh akela heavy chain M ˉ w ko bahut upar kheench leta hai. ✓
Common mistake "Bas seedha saare
M i values ka average le lo."
Kyun sahi lagta hai: Averaging usually = sab jodo, count se divide karo. Toh Example 1 mein tum ( 10 + 20 ) /2 = 15 kar sakte ho.
Fix: Tumhe kitne of each hain (N i ) us hisaab se weight karna hai, na ki kitne types hain. Multiplicities ke saath, M ˉ n = 16 , 15 nahi. Molecules count karo, categories nahi.
M ˉ w kisi weird sample mein M ˉ n se chhota ho sakta hai."
Kyun sahi lagta hai: Alag formulas → shayad kabhi ek bada ho, kabhi doosra.
Fix: Mathematically M ˉ w ≥ M ˉ n hamesha hota hai (yeh Cauchy–Schwarz / variance ≥ 0 se aata hai). PDI < 1 impossible hai — agar mila, toh arithmetic mein galti hai.
Common mistake "Condensation polymers ka PDI kam hota hai (~1.5)."
Kyun sahi lagta hai: Log "1.5" ko ek typical chhote number ki tarah half-remember karte hain.
Fix: Ideal step-growth Flory most-probable distribution follow karta hai jisme PDI = 1 + p hota hai; usable molar mass ke liye zaroori high conversions par, p → 1 isliye PDI → 2 . Addition (radical) polymers hi hote hain jo aksar 1.5–2 ke aas-paas hote hain.
Common mistake "PDI = 1 matlab ek chhota molecule hai."
Kyun sahi lagta hai: "1" ek low/light value jaisa lagta hai.
Fix: PDI ek ratio of averages hai, dimensionless. PDI = 1 matlab uniform length , size ke baare mein kuch nahi. Mass 60000 ka monodisperse protein bhi PDI = 1 hi rakhta hai.
M ˉ w numerator mein M ko square karna bhool jaana.
Kyun sahi lagta hai: Symmetry tumhe M ˉ n formula reuse karne ke liye tempt karti hai.
Fix: M ˉ w numerator ∑ N i M i 2 hota hai. Extra M i hi toh saari baat hai — yahi mass-weighting hai.
Words mein, har average kis cheez se "vote" karta hai?
M ˉ w ≥ M ˉ n kyun hota hai?
Kaunsa experimental method M ˉ w deta hai? Kaunsa M ˉ n deta hai?
PDI kya batata hai identical chains ke sample ke baare mein?
Ideal condensation polymer high conversion par kaunse PDI ki taraf jaata hai, aur kis formula se?
Recall Feynman: ek 12-saal ke bachche ko samjhao
Socho ek school bus mein bahut alag-alag weight ke bachche hain. Agar tum poochho "average bachche ka weight kya hai?" toh sab weights jodo aur bachchon ki sankhya se divide karo — har bachcha ek baar count hota hai. Yahi number-average hai.
Ab socho tum bachchon ko carry kar rahe ho aur poochho "jo weight main carry kar raha hoon uska average kya hai" — bhaare bachche bahut zyada feel hote hain, isliye unka count zyada hota hai. Yahi weight-average hai, aur yeh hamesha bada number hota hai jab tak saare bachche same weight ke na hon. Dono ka ratio batata hai ki weights kitni mixed up hain: agar sab bachche same weight ke hain, toh ratio exactly 1 hoga.
Mnemonic Formulas yaad karo
"n counts heads, w counts kilos."
n (number) → head-count ∑ N se divide karo.
w (weight) → mass-weighted, isliye upar extra power of M : ∑ N M 2 .
Aur W eight-average hamesha W inner (bada) hota hai. PDI = w/n ≥ 1. Condensation ke liye: "1 + p , marching to 2."
Addition vs Condensation Polymerization — condensation Flory follow karta hai: PDI = 1 + p → 2 high conversion par.
Gel Permeation Chromatography — size ke hisaab se separate karta hai, poori distribution aur dono averages extract kar sakta hai.
Light Scattering and Osmometry — light scattering → M ˉ w ; osmotic pressure (colligative) → M ˉ n .
Colligative Properties — particles ki number par depend karte hain, isliye M ˉ n dete hain.
Degree of Polymerization — X ˉ n = M ˉ n / M 0 (monomer mass).
Variance and Standard Deviation — M ˉ w / M ˉ n − 1 distribution ke relative variance se related hai.
Number-average molecular weight formula M ˉ n = ∑ N i ∑ N i M i — total mass / total number of molecules
Weight-average molecular weight formula M ˉ w = ∑ N i M i ∑ N i M i 2 — mass-fraction weighted average
M ˉ n mein har molecule ko kisse weight kiya jaata hai?Number se (har molecule ko ek vote, size se koi farak nahi)
M ˉ w mein har molecule ko kisse weight kiya jaata hai?Uske mass contribution se (badi chains zyada count hoti hain)
Polydispersity index ki definition PDI = M ˉ w / M ˉ n , molecular-weight distribution ki spread
PDI hamesha ≥ 1 kyun hota hai? M ˉ w ≥ M ˉ n hamesha hota hai (variance ≥ 0 se aata hai); equal sirf tab jab saari chains identical hon
Monodisperse ka matlab kaunsa PDI value hai? PDI = 1 (saare molecules same molar mass ke, jaise proteins, DNA)
Ideal condensation (step-growth) polymer ka PDI Flory follow karta hai: PDI = 1 + p ; 2 ki taraf jaata hai jab conversion p → 1
Addition (radical) polymers ka typical PDI Lagbhag 1.5–2, termination mode ke hisaab se
Kaunsi technique M ˉ w deti hai? Light scattering (mass ke hisaab se respond karti hai)
Kaunsi technique M ˉ n deti hai? Colligative methods jaise osmometry (particles ki sankhya count karte hain)
2 chains mass 10 aur 3 chains mass 20 ke sample mein M ˉ n nikalo ( 20 + 60 ) /5 = 16
Same sample mein M ˉ w nikalo ( 200 + 1200 ) /80 = 17.5
M ˉ w numerator mein common errorM ko square karna bhool jaana; yeh ∑ N i M i 2 hona chahiye
Chains of different lengths