Ad ancing bio e ine y design h ough he
in eg a ion o me abolic models in
supe s uc u e op imiza ion
Lucas Van de Hauwae , Albe e Reguei a, Miguel Mau icio-Iglesias
CRETUS Ins i u e. Depa men o Chemical Enginee ing, Uni e sidade de San iago de Compos ela.
mail: lucas. ande hauw[email p o ec ed]
#escape2023
The bio e ine y concep
2
Challenges o bio e ine y design
•Feeds ock A ailabili y and Va iabili y
•Techno-economic iabili y & Scale up
P oduc Di e si ica ion
Linking subs a es o po en ial p oduc s
3
How do we assu e in es o s o
de elop bio e ine ies?
4
Galan e al. (2021)
Supe s uc u e op imisa ion: So bi ol and Xyli ol
Objec i e
5
Galan e al. (2021)
Objec i e
Supe s uc u e op imisa ion: succina e acid
6
Galan e al. (2021)
4 dis inc mic oo ganisms wi h well
es ablished e men a ion ou comes
BUT Eno mous Di e si y o
mic oo ganisms o bio eac o s and he
po en ial subs a es hey can consume
Rep esen a ion bio- eac o s age
Bio chemical con e sion o
subs a es o p oduc s
?
Ge ing he bio eac ions in supe s uc u es
Resea ch ques ion:
How o in eg a e bio eac ions o mic oo ganisms in he mos
e ec i e and e icien way in he supe s uc u e?
O
How o unlock he ull po en ial o mic oo ganism in a
supe s uc u e amewo k?
Goal: Can we explo e comple ely new designs linking new
mic oo ganisms o subs a es and p oduc s? 7
Ad an ages
•P edic i e om omics da a
•Able o handle mul iple
subs a es
Rep esen ing Bio eac o s in Supe s uc u es
Me abolic models
8
Conside ed bio ans o ma ions in bio eac o s
Pu e cul u es
Genome Me abolic Models (GEMS)
Open mixed cul u es
Bioene ge ic model
Rec ea ion o he me abolic ne wo k,
s a ing om he genome pH
Rec ea ion o me abolic
ne wo ks, Bu dependen on
en i onmen al in luences
9
Case s udy
P. euden eichii
P. a idum
P. acidip opionici
Mixed cul u e
pH
P. acnes
P. p opionicum
Inpu In e al Selec i e
sepa a ion
In e al
Reac o In e al
P opiona e
Ace a e
Ou pu in e al
Des illa ion
3
Concen a ion In e al
Liq –Liq +
Dis illa ion
Des illa ion
2
was e
D-Glucose
D-F uc ose
Suc ose
Mal ose
Dex in
L-Lac a e
Glyce ol
Xylose 28 di e en combina ions o
subs a e –mic oo ganism
Objec i e: EBIT = - OPEX
GREV
16
How o iden i y subs a es:
1. Iden i y Exchange eac ions in he GEM
2. Fil e ou p o eins
3. A minimum p oduc ion o he a ge
p oduc s equi ed
4. Final manual selec ion
Resul s
P. acnes
Inpu In e al Selec i e
sepa a ion
In e al
Reac o In e al
P opiona e
Ace a e
Ou pu in e al
Des illa ion
3
Concen a ion In e al
Liq –Liq +
Dis illa ion
was e
L-Lac a e
Re enue: 27 418 €
EBIT: 3466 €
Subs a e load: 24 000 kg
Cos aw ma e ial : 11040 €
P opiona e: 12 221 kg
Ace a e: 453 kg
OPEX : 786 €
P opiona e: 12 099 kg
Ace a e: 444 kg
OPEX : 6849 €
P opiona e: 11 978 kg
Ace a e: 440 kg
OPEX : 1605 €
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Conclusion
Case s udies demons a e how supe s uc u e op imiza ion using me abolic
models can iden i y economically iable combina ions o subs a es and
mic oo ganisms.
An e icien wo k low was c ea ed o in eg a e me abolic models o
ep esen ing bio eac o p ocesses in supe s uc u e op imiza ion
p oblems
The su oga e models a e capable o
1) P edic ing ope a ion condi ions o op imal yields
2) P edic i e om genome da a
3) P edic ing yields om a ious subs a es
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THANK YOU
HAVE A NICE DAY
EMAIL
lucas. ande hauwae @usc.es
Acknowledgmen s
This wo k was suppo ed by p ojec
ALQUIMIA (PID2019-110993RJ-I00) unded
by he Agencia Es a al de In es igación
Alquimia: P oyec o de I- D-i P og ama Re os
de la sociedad modalidad Jo enes
in es igado es con oca o ia. 19
EXTRA
20
Rep esen a ion o uni p ocesses
Flow di ide
Mixe
Mixe u ili ies
(chemicals)
(Bio)Reac o
Sepa a o
Flow o mass
Flow ene gy
Nex p ocess uni o was e
OPEX
Quaglia e al (2015), Be an e al. (2017)
€€€
€
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