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The estimated possibilities of process monitoring in milk production by the simple thermodynamic sensors

Abstract

The characterization and monitoring of thermal processes in thermodynamic systems can be performed using the thermodynamic sensors (TDS). The basic idea of thermodynamic sensor is possible to use in many various applications (eq. monitoring of frictional heat, thermal radiation, pollution of cleaning fluid, etc.). One of application areas, where the thermodynamic sensor can find the new area for a using, is a production of milk products - cheese, yogurt, kefir, etc. This paper describes the estimated possibilities, advantages and disadvantages of the use of thermodynamic sensors in diary productions and simple experiments for characterization and monitoring of basic operations in milk production process by thermodynamic sensors. The milk products are often realized by fermenting or renneting process. Final stages of fermentation and renneting processes are often determined on the base of sensory evaluation, pH measurement or by analytical method. The exact time of the fermentation process completion is dependent on various parameters and is often the company know-how. The fast, clean and simple non-analytical non-contact method for monitoring and for the determination of process final stages does not exist in this time. Tests of fermentation process, renneting process and yoghurt process by thermodynamic sensors were characterized and measured in this work. Measurement of activity yeasts was tested in first series of experiments. In second series of experiments, measurement of processes in milk production was tested. First results of simple experiments show that the thermodynamic sensors might be used for determination of time behaviour of these processes. Therefore, the milk products (cheese, yogurt, kefir, etc.) is opened as a one of new application areas, where the thermodynamic sensor can be used.

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The estimated possibilities of process monitoring in milk production by the simple thermodynamic sensors

Author: Adámek, Martin; Adámková, Anna; Řezníček, Michal; Kouřimská, Lenka
Publisher: Association HACCP Consultin
Year: 2016
DOI: 10.5219/462
Source: https://dspace.vut.cz/bitstreams/f18abee6-dfab-4c2c-aa77-a1c26bc84208/download
Po a ina s o® Scien i ic Jou nal o Food Indus y
Volume 10 643 No. 1/2016
INTRODUCTION
The p inciple o he modynamic senso
The cha ac e iza ion and moni o ing o he mal p ocesses
in a ious he modynamic sys ems can be pe o med using
he he modynamic senso s (TDS) ha a e based on he
p inciple o balance equilib ium. These senso sys ems a e
one o he newe g oup o senso s o sensing he he mal
quan i ies. The basic idea, basic model and heo y o ideal
he modynamic senso in eg a ion as an ideal elemen in
la ge models o he modynamic sys em we e p esen ed in
pa en (Indus ial P ope y O ice o he Czech Republic,
2006). The o iginal heo y o ideal he modynamic senso
as a p ocess and media ene gy ac i i y moni o ing de ice
was p esen ed in Reznicek e al., 2005, Reznicek e al.,
2006, Reznicek e al., 2008 and Reznicek, 2014.
The p inciple o hese he modynamic senso s is based on
measu emen o ene gy, which is supplied o ci cui o
empe a u e se ing and equilib a ion o empe a u e
elemen wi h ambien . The senso elemen is e y o en
in eg a ed wi h an ampli ie and a con e e o de ined
elec ical signal (U, I, ), which is e y easily connec ed o
o he measu ing sys ems.
Th ee g oups o in luences ha e e ec on he modynamic
senso s (Figu e 1). Fi s g oup o in luences is p esen ed by
in luences I1. This g oup ha e e ec only on a empe a u e
o sensi i e elemen T2. Va ious physical quan i ies
( empe a u e, adian hea , humidi y, low o liquid), which
a e possibly ans o med o empe a u e ene gy, a e
heo e ically measu ed in his g oup.
Second g oup o in luences is p esen ed by in luences I2.
This g oup change he empe a u e p ope ies be ween he
sensi i e elemen s T1 and T2 (di e ence ene gy E1 and
E2). Volume, densi y, low o liquid, p essu e and many
o he quan i ies can be heo e ically measu ed measu e in
his g oup.
Las g oup o in luences is p esen ed by in luences I3,
which ha e e ec on a empe a u e o bo h sense elemen s
T1 and T2. I bo h sense elemen s ha e he same sensi i i y,
his g oup does no ha e e ec on ou pu o ol age signal
o he modynamic senso .
Ad an ages and disad an ages o TDS
A common ea u e o he modynamic measu emen
sys em is he moni o ing o majo e en s. Howe e ,
echnological windows o p oduc ion p ocesses a e
dec easing due o inc easing he demands on he eliabili y
and quali y o he a ge p oduc . Acco dingly, he demands
on he con olling and moni o ing inc ease up o he
possibili y limi when using cu en echnologies.
Po a ina s o, ol. 10, 2016, no. 1, p. 643-648
doi:10.5219/462
Recei ed: 10 Ma ch 2015. Accep ed: 14 Decembe 2016.
A ailable online: 19 Decembe 2016 a www.po a ina s o.com
© 2016 Po a ina s o. License: CC BY 3.0
ISSN 1337-0960 (online)
THE ESTIMATED POSSIBILITIES OF PROCESS MONITORING
IN MILK PRODUCTION BY THE SIMPLE THERMODYNAMIC SENSORS
Ma in Adámek, Anna Adámko á, Michal Řezníček, Lenka Kouřimská
ABSTRACT
The cha ac e iza ion and moni o ing o he mal p ocesses in he modynamic sys ems can be pe o med using he
he modynamic senso s (TDS). The basic idea o he modynamic senso is possible o use in many a ious applica ions (eq.
moni o ing o ic ional hea , he mal adia ion, pollu ion o cleaning luid, e c.). One o applica ion a eas, whe e he
he modynamic senso can ind he new a ea o a using, is a p oduc ion o milk p oduc s - cheese, yogu , ke i , e c. This
pape desc ibes he es ima ed possibili ies, ad an ages and disad an ages o he use o he modynamic senso s in dia y
p oduc ions and simple expe imen s o cha ac e iza ion and moni o ing o basic ope a ions in milk p oduc ion p ocess by
he modynamic senso s. The milk p oduc s a e o en ealized by e men ing o enne ing p ocess. Final s ages o e men a ion
and enne ing p ocesses a e o en de e mined on he base o senso y e alua ion, pH measu emen o by analy ical me hod.
The exac ime o he e men a ion p ocess comple ion is dependen on a ious pa ame e s and is o en he company know-
how. The as , clean and simple non-analy ical non-con ac me hod o moni o ing and o he de e mina ion o p ocess inal
s ages does no exis in his ime. Tes s o e men a ion p ocess, enne ing p ocess and yoghu p ocess by he modynamic
senso s we e cha ac e ized and measu ed in his wo k. Measu emen o ac i i y yeas s was es ed in i s se ies o expe imen s.
In second se ies o expe imen s, measu emen o p ocesses in milk p oduc ion was es ed. Fi s esul s o simple expe imen s
show ha he he modynamic senso s migh be used o de e mina ion o ime beha iou o hese p ocesses. The e o e, he
milk p oduc s (cheese, yogu , ke i , e c.) is opened as a one o new applica ion a eas, whe e he he modynamic senso can
be used.
Keywo ds: he modynamic senso ; e men a ion p ocess; yeas
Po a ina s o® Scien i ic Jou nal o Food Indus y
Volume 10 644 No. 1/2016
The e o e, he need o moni o ing in a ea o ze o
empe a u e di e ences and iden i ica ion o mino e en s
(eg. an unexpec ed o unwan ed e en wi h a small
empe a u e di e ence) by measu emen sys em inc eases
(Reznicek, 2014).
The using o he modynamic senso s ha a e based on he
p inciple o balance equilib ium is one o he ways o
moni o ing hese e en s on he backg ound o majo e en s
(eg. empe a u e s abiliza ion). The e o e, ad an ages o
TDS a e:
High speed and high sensi i i y o e o he
empe a u e senso s' ypes, o example
he mocouples.
Possibili y o hea low measu ing.
Di ec ionali y o measu emen s.
Possibili y o p ocess moni o ing in ze o
empe a u e di e ence
Possibili y o moni o ing and iden i ica ion o
mino e en s.
Possibili y o easy connec o he con ol and
egula ion ci cui s.
Howe e , TDS also has hese disad an ages:
The sys em only gi es in o ma ion abou he
ela i e empe a u e changes.
The measu emen is highly dependen on he
cons uc ion o he measu ing sys em in a speci ic
applica ion.
The e o e, he basic idea o he modynamic senso is
possible o use in a ious applica ions - moni o ing o he
b eakage o glass ibe s du ing hei p oduc ion, moni o ing
o ic ional hea in engine, moni o ing ecep ion signal a
he an enna, empe a u e s abiliza ion o he de ec o
nanopa icles, e c. (Reznicek, 2014).
The es ima ed possibili ies o p ocess moni o ing in ood
p oduc ion by he simple TDS
Many he mal p ocesses exis in ood p oduc ion –
cooking, ying, baking, cooling, eezing, s e iliza ion,
pas eu iza ion, d ying, e c. The TDS can be used o moni o
a ious pa ame e s in many o hese p ocesses, which mus
be e y o en con olled and eco ded o HACCP and
cus ome s’ ce i ica ion. I is assumed eg. he possibili y o
moni o he pu i y o he oil which is used in ying o
moni o ing he pu i y o cleaning emulsion simila ly as was
es ed in p ojec TAČR GAMA – TA01011754 “New
me hods o he cleaning o assembled subs a es wi h
highe e ec i i y and lowe ecological and ene gy
comsump ion impac ”. Because he he modynamic senso
is e y sensi i e and as , i is possible o measu e e y small
empe a u e changes ha may be p oduced o example by
g oups o yeas . The e o e, i is possible use TDS in he
p oduc ion:
dai y p oduc s – e men a ion p ocesses, yogu
p ocesses, enne ing p ocesses,
b ewe ies – e men a ion p ocesses,
dis ille ies – e men a ion p ocesses,
con ol unwan ed de elopmen o yeas and o he
mic o lo a (s e iliza ion, canning),
bake ies –con ols i abili y yeas ,
pickled cabbage – e men a ion p ocesses, e c.
A p oduc ion o dai y p oduc s (cheeses, yogu s, ke i s,
e c.) can be one o new applica ion a eas, whe e he
he modynamic senso s can be used. Milk and p oduc s
om milk a e one o impo an ing edien s o ood in
people´s li es, especially o child en. Milk and dai y
p oduc s a e sou ces o i amins, p o eins, a , mine als,
lac ose, e c., which a e no ungible in people´s sus enance.
The dai y p oduc ion is composed o complica ed and
sophis ica ed p ocesses (Semjan, 1994). These p ocesses
a e exac ing o p ecision, empe a u e s abili y and hygiene.
This is a eason o close quali y checking.
In he dai y p oduc ions, he he modynamic senso s can
con inuously moni o , con ol and egula e he main p ocess
pa ame e s – equi ed empe a u es and de ia ions om i
(s e iliza ion and pas eu iza ion empe a u e o milk, dai y
p oduc s, s o age empe a u e e c.). Howe e , he senso s
can also moni o o he p oduc ion pa ame e s, which can be
con e ed o a change o empe a u e low – pu i y and
quan i y o basic aw ma e ials (milk, ma malade, ...), pu i y
and he amoun o auxilia y media ( insing wa e , auxilia y
gas, e c.), moni o ing and con ol unwan ed o unwan ed
Figu e 1 The g oup o in luences I1, I2 and I3, which ha e e ec on he modynamic senso .
Po a ina s o® Scien i ic Jou nal o Food Indus y
Volume 10 645 No. 1/2016
e en – sani izing inspec ion o manu ac u ing de ices and
space, wea down con ol o p oduc ion machines e c.
The p oduc ion o dai y p oduc s is o en ealized by
e men ing o enne ing p ocesses. The simple clean
non-con ac ion non-analy ical me hod o de e mina ion o
inal p ocess does no exis in his ime. Final s ages o
e men ing o enne ing p ocesses a e o en de e mined on
he base o senso y e alua ion o analy ical measu emen s.
The di e en ways o sol ing hese p oblems a e looking o
now. One o he possible ways o solu ion o his p oblem
can be cha ac e isa ion and measu emen o hese p ocesses
by he modynamic senso s.
MATERIAL AND METHODOLOGY
Chemicals
Measu emen o ac i i y yeas s was es ed in i s se ies o
expe imen s. D ied yeas “Ins an ní D oždí”, S. I. Lesa e,
cas e suga “Cuk bílý k ys al”, Cuk o a y a liho a y TTD,
a.s., Dob o ice, and dis illed wa e we e used as he ma e ial
o i s measu emen .
The basic ma e ial used o second measu emen s o milk
p oduc s was aw milk om a m Fa ma Hole s. .o., Velké
Přílepy. The yoghu “Whi e coun y yoghu wi h p obio ic
BiFi cul u e”, Hollandia Ka lo y Va y a.s., Toužim, was
used as s a cul u e o p oduc ion o yoghu and he enne
p oces was made by he enee Lak ochym (1 : 5.000),
MILCOM, a.s., P aha.
Expe imen
All he measu emen s we e done by using he TDS
senso s, which was ab ica ed in HIT, s. .o., Nedachlebice.
The senso s, a simple measu ing ci cui , powe sou ce and
mul ime e Me ex 3270 D o Almemo 2390-5 (Ahlbo n
Mess- und Regelungs echnik GmbH, Ge many) as
ol me e , which was con olled by compu e , we e main
pa s o wo kplace. The wo kplace o expe imen s wi h
he modynamic senso s is shown on Figu e 2.
Tempe a u e was 25 °C in case o i s expe imen s wi h
wa e and 35 °C in empe a u e-con olled box in case o
second expe imen s wi h milk p oduc s.
S a is ical analysis
The da a we e analysed using so wa e Excel 2013
(Mic oso Co po a ion, USA) and he esul s we e
exp essed by g aph. Each expe imen was measu ed a leas
h ee imes and he esul ing cu e was calcula ed as he
mean alue o hese measu emen s.
RESULTS AND DISCUSSION
Measu emen o ac i i y o yeas s was es ed in i s se ies
o expe imen s. Expe imen s we e made wi h wa e in oom
empe a u e (25 °C). Volume o wa e was 25 mL. Fi s
expe imen (Figu e 3) was ocused on e men ing p ocess,
whe e he yeas s weigh was changed. The es weigh was
0.1 g, 0.5 g, 1 g and 1.25 g. Weigh o suga was 1 g.
Resul s show a dependence o yeas s ac i i y on yeas s
weigh in i s e men a ion phase and s abiliza ion o yeas s
ac i i y on cons an alue in second phase o p ocess. The
ini ial weigh o he yeas a ec s he inc ease a e o he o al
yeas 's ac i i y. I is assumed ha inc ease o he yeas s
numbe a ec s hea low be ween elemen s T1 and T2
(in luence I2). Nex , inc ease o he numbe o ac i e yeas s
inc eases a hea , whi ch coming o he elemen T2 ( he e ec
I1). A e eaching a maximum, he numbe o ac i e yeas s
dec eases, he e o e he hea coming o he elemen T2 is
also educed. The weigh o suga was changed (0.5 g; 1 g;
1.25 g) in nex expe imen (Figu e 4). Weigh o yeas s was
0.3 g. The yeas s ac i i y is inc eased wi h weigh o suga
in i s e men a ion phase and is s abilized on cons an
alue in second phase o p ocess again.
Viable yeas can be used as an inoculum o many
e men a ions p ocesses in he ood indus ies. The
e men a ion p ocess inc eases he o al alue o he
e men ed oods, eq. imp o ing he quan i y and quali y o
p o eins and hei accessibili y, inc ease he diges ibili y o
s a ch, inc easing he con en o i amins, especially g oup
B ( ibo la in, hiamine, niacin, olic acid), inc ease he
a ailabili y o mine al elemen s, e c. (A o a, Jood and
Khe a paul, 2010; Cha alampopoulos e al., 2002;
Ri e a-Espinoza and Galla do-Na a o, 2010; Kocko á
and Valík, 2011).
T adi ionally, yeas iabili y has been measu ed in
colony- o ming uni s a e pla ing o cells on g ow h
medium o by di ec mic oscopic coun ing using dye
exclusion me hods (Jones, 1987a, b; Fung, 1994; Lloyd
and Hayes, 1995; Haugland, 1996). Nex measu emen o
yeas iabili y can be made a low cy ome y (Dee e e al.,
1998; A ield e al., 2000) o moni o ing CO2 as p oduc
o yeas ac i i y. Fo yeas iden i ica ion, PCR-RAPD and
RFLP-PCR me hods (D ozdz e al., 2015) can be used.
These me hods can be used o de e mina ion o yeas g ow
cu e. The g ow cu e o yeas (Halasz and Lasz i y, 1990;
Walke , 1998; Neal, 2004) and measu ed cu es o
e men ing p ocess o yeas s in wa e wi h a change o
yeas s weigh ha e a e y simila cha ac e . In acco dance
wi h he weigh o he inoculum, he measu ed ol age
measu ed ol age is inc eased and s abilized a e some
ime. Simila ly, he cha ac e o he measu ed cu es o
e men ing p ocess o yeas s in wa e wi h a change o suga
weigh is also in acco dance wi h he p esen cha ac e o
g ow h cu es.
In second se ies o expe imen s, measu emen o p ocesses
in milk p oduc ion was es ed. Expe imen s we e made wi h
aw milk in empe a u e-con olled box (35 °C).
Figu e 5 shows a cha ac e isa ion o yogu p ocess. S a
and inal s age o his p oces is demons a ed. In he yogu
p oduc ion, a mixed base s a e yoghu cul u e wi h he
bac e ial s ain Lac obacillus delb ueckii subsp. bulga icus
and S ep ococcus sali a ius subsp. he mophilus added o
he milk. Bo h li ing o ganisms mus be in a p oduc in he
op imal a io. L. delb ueckii ssp. bulga icus pa ially
deg ades he casein. This eleases aline, his idine,
me hionine, glu amic acid and leucine, which a e
s imula ing he g ow h o S ep ococcus sali a ius subsp.
he mophilus. S ep ococci o ms lac ic acid and c ea es
a o able condi ions o he g ow h o lac obacilli (Cou in
and Rul, 2004; Wals a, Wou e s and Geu s, 2006). I is
possible o ind a hin o wo peaks on he cu e o yogu
p ocess on Figu e 5. These peaks can be assigned ac i i y
lac ococci and s ep ococci in he s a e cul u e. End o
measu emen can also be in luenced by a change he
iscosi y in he inal s age o he p ocess. The example o
enne p ocess measu emen is shown on Figu e 6.
Po a ina s o® Scien i ic Jou nal o Food Indus y
Volume 10 646 No. 1/2016
Figu e 2 The wo kplace o expe imen s.
Figu e 3 The e men ing p ocess o yeas s in wa e - a change o yeas s weigh .
Figu e 4 The e men ing p ocess o yeas s in wa e .
9
10
11
12
13
0:00 0:28 0:57 1:26 1:55
Uou
[V]
T [hou ]
0.1 0.5
11.25
9
10
11
12
13
0:00 0:28 0:57 1:26 1:55
Uou
[V]
T [hou ]
0,1 0,25 0,5 1
Po a ina s o® Scien i ic Jou nal o Food Indus y
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The inal s age o his p oces is demons a ed again. The
measu emen is in luenced by a change he iscosi y, which
ha e impac o e mal p ope ies o yogu . A e adding
enne ( e y o en wi h chymosin enzyme) o milk, he
casein micelles s a o agg ega e and o ming a gel
(Wals a, Wou e s and Geu s, 2006).
Because his is a new a ea o applica ion o TDS and new
me hod o measu emen , i can no ye compa e he esul s
wi h o he au ho s. Resul s can only be es ima ed in
compa ison wi h s anda d me hods, which a e less lexible
and ime and ma e ial consuming.
Al hough he numbe o measu emen epe i ion was low,
he i s esul s show a possibili ies TDS in moni o ing o
yeas ac i i y in e men a ion p ocesses and de e mina ion
o inal s age in yogu and enne p ocesses.
CONCLUSION
The he modynamic senso was es ed in basic ope a ions
in milk p oduc ion. Tes s o enne p ocess, yogu p ocess
and e men a ion p ocess we e cha ac e ized and measu ed
wi h he modynamic senso , which was bo owed om
HIT, s. .o. Fi s esul s o simple expe imen s show ha he
he modynamic senso s can be used o ime beha io and
end de e mina ion o his p ocesses.
REFERENCES
A o a, S., Jood, S., Khe a paul, N. 2010. E ec o
ge mina ion and p obio ic e men a ion on nu ien
composi ion o ba ley based ood mix u es. Food Chemis y,
ol. 119, no. 2, p. 779-784.
h ps://doi.o g/10.1016/j. oodchem.2009.07.035
A ield, P. V., Kle sas, S., Veal, D. A., Van Rooijen, R., Bell,
P. J. L. 2000. Use o low cy ome y o moni o cell damage
Figu e 5 The yogu p ocess.
Figu e 6 The enne p ocess.
3
4
5
6
0:00 2:24 4:48 7:12 9:36
Uou
[V]
T [hou ]
End o p ocess
S a o p ocess
7
11
15
19
23
0:28 0:43 0:57 1:12 1:26 1:40
Uou
[V]
T [hou ]
End o p ocess
S a o p ocess

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Volume 10 648 No. 1/2016
and p edic e men a ion ac i i y o d ied yeas s. Jou nal o
Applied Mic obiology, ol. 89, no. 2, p. 207-214.
h p://dx.doi.o g/10.1046/j.1365-2672.2000.01100.x
Cha alampopoulos, D., Wang, R., Pandiella, S. S., Webb, C.
2002. Applica ion o ce eals and ce eal componen s in
unc ional oods: a e iew. In e na ional Jou nal o Food
Mic obiology, ol. 79, no. 1-2, p. 131-141.
h ps://doi.o g/10.1016/S0168-1605(02)00187-3
Cou in, P., Rul, F. 2004. In e ac ions be ween
mic oo ganisms in a simple ecosys em: yogu bac e ia as a
s udy model. Le Lai , ol. 84, no. 1-2, p. 125-134.
h p://dx.doi.o g/10.1051/lai :2003031
Dee e, D., Shen, J., Vesey, G., Bell, P., Bissinge , P., Veal,
D. 1998. Flow cy ome y and cell so ing o yeas iabili y
assessmen and selec ion. Yeas , ol. 14, p. 147-160.
h ps://doi.o g/10.1002/(SICI)1097-
0061(19980130)14:2<147::AID-YEA207>3.0.CO;2-L
D ozdz, I., Maka ewicz, M., S oka, P., Sa o a, P., Jankowski,
P. 2015. Compa ison o he yeas mic obio a o di e en
a ie ies o cool-clima e g apes by PCR-RAPD.
Po a ina s o, ol. 9, no. 1, p. 293-298.
h p://dx.doi.o g/10.5219/484
Fung, D. Y. C. 1994. Rapid me hods and au oma ion in ood
mic obiology: a e iew. Food Re iews In e na ional. ol. 10,
p. 357-375. h ps://doi.o g/10.1080/87559129409541006
Halasz, A., Lasz i y, R. 1990. Use o Yeas Biomass in Food
P oduc ion. CRC P ess. 352 p. ISBN 9780849358661.
Haugland, R. 1996. Handbook o Fluo escen P obes and
Resea ch Chemicals. O egon, USA : Molecula P obes Inc.
Indus ial P ope y O ice o he Czech Republic. Technique
o e e en ial empe a u e and empe a u e di e ence
measu emen , asyme ic empe a u e senso and asyme ic
e e en ial uni o echnique applica ion. Pa en owne :
Reznicek, Z. Czech Republic. Pa en no. CZ-297066. 2006-07-
19.
Jones, R. P. 1987a. Measu es o cell dea h and deac i a ion
and hei meaning: pa I. P ocess Biochemis y, ol. 22, p.
118-128.
Jones, R. P. 1987b. Measu es o cell dea h and deac i a ion
and hei meaning: pa II. P ocess Biochemis y, ol. 23, 130-
134.
Kocko á, M., Valík, Ľ. 2011. Po en ial o ce eals and
pseudoce eals o lac ic acid e men a ions. Po a ina s o,
ol. 5, no. 2, p. 27-40. h ps://dx.doi.o g/10.5219/127
Lloyd, D., Hayes, A. J. 1995. Vigou , i ali y and iabili y o
mic oo ganisms. FEMS Mic obiology Le e s, ol. 133, p. 1-7.
h ps://doi.o g/10.1111/j.1574-6968.1995. b07852.x
Neal, D. 2004. In oduc ion o Popula ion Biology.
Camb idge, UK : Camb idge Uni e si y P ess. 394 p. ISBN
978-0521532235
Semjan, Š. 1994. Mlieká s o (Dai y echnology). Ni a,
Slo ak Republic : SPU, 204 p. ISBN 80-7137-157-2.
Reznicek, Z., T a ozek, Y., Reznicek, M., Szendiuch, I.
2005. Tempe a u e balanced p ocess media ene gy ac i i y
moni o ing, In e na ional Con e ence EDS-IMAPS CS 2005
p oceeding. B no, Czech Republic. p. 94-100. ISBN 80-214-
2990-9.
Reznicek, Z., T a ozek, Y., Reznicek, M., Szendiuch, I.
2006. Hyb id Cons an Tempe a u e Regula o . In e na ional
Con e ence Eu oSimE I 2006 p oceeding, Como, I aly, p. 502-
505. ISBN 1-4244-0275-1.
Reznicek, Z. S., Szendiuch, I., Reznicek, M., Reznicek Z. J .
2008. Thick Film Double The modynamic Senso Sys em. In
2nd Elec onics Sys em in eg a ion Technology Con e ence
p oceedings. G eenwich, UK, 1-4 Sep embe 2008. p. 1301 -
1304. ISBN 978-1-4244-2813-7.
h ps://doi.o g/10.1109/es c.2008.4684542
Reznicek, M. 2014. The modynamic senso s based on he
p inciple o balance equilib ium: disse a ion heses. B no,
Czech Republic : FEKT VUT B no, 93 p.
Ri e a-Espinoza, Y., Galla do-Na a o, Y. 2010. Non-dai y
p obio ic p oduc s. Food Mic obiology, ol. 27, no. 1, p. 1-11.
h ps://doi.o g/10.1016/j. m.2008.06.008 PMid:19913684
Walke , G. M. 1998. Yeas Physiology and Bio echnology.
Wiley. 362 p. ISBN 9780471964469.
Wals a, P., Wou e s, J. T., Geu s, T. J. 2006. Dai y science
and echnology. London, UK : CRC p ess, Taylo & F ancis
G oup. 808 p. ISBN 978-0-8247-2763-5.
Acknowledgmen s:
The modynamic senso s ha we e bo owed om HIT,
s. .o., we e used o he measu emen o expe imen s in he
a ea o moni o ing ood p oduc ion ha a e p esen ed in his
pape .
This wo k was suppo ed by g an BD FEKT-S-14-2168.
Con ac add ess:
Ma in Adámek, B no Uni e si y o Technology, Facul y
o Elec ical Enginee ing and Communica ion, Depa men
o Mic oelec onics, Technická 3058/10, 616 00 B no,
Czech Republic, E-mail: adamek@ eec. u b .cz.
Anna Adámko á, Czech Uni e si y o Li e Sciences
P ague, Facul y o Ag obiology, Food and Na u al
Resou ces, Depa men o Quali y o Ag icul u al P oduc s,
Kamýcká 129, 165 21 P ague 6 - Suchdol, Czech Republic,
E-mail: ada[email p o ec ed].
Michal Řezníček, B no Uni e si y o Technology, Facul y
o Elec ical Enginee ing and Communica ion, Depa men
o Mic oelec onics, Technická 3058/10, 616 00 B no,
Czech Republic, E-mail: eznicek@ eec. u b .cz.
Lenka Kouřimská, Czech Uni e si y o Li e Sciences
P ague, Facul y o Ag obiology, Food and Na u al
Resou ces, Depa men o Quali y o Ag icul u al P oduc s,
Depa men o Mic obiology, Nu i ion and Die e ics,
Kamýcká 129, 165 21 P ague 6 - Suchdol, Czech Republic,
E-mail: kou i[email p o ec ed].