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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Food Processing: Techniques and Technology</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Food Processing: Techniques and Technology</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Техника и технология пищевых производств</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2074-9414</issn>
   <issn publication-format="online">2313-1748</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">65719</article-id>
   <article-id pub-id-type="doi">10.21603/2074-9414-2023-2-2437</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>ОРИГИНАЛЬНАЯ СТАТЬЯ</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>ORIGINAL ARTICLE</subject>
    </subj-group>
    <subj-group>
     <subject>ОРИГИНАЛЬНАЯ СТАТЬЯ</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Assessment-Based Optimization of Distillation Parameters</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Методология оптимизации режимов дистилляции на основе критериев оценки качества продукта</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7335-0453</contrib-id>
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Крикунова</surname>
       <given-names>Людмила Николаевна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Krikunova</surname>
       <given-names>Ludmila N.</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8364-9539</contrib-id>
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Дубинина</surname>
       <given-names>Елена Васильевна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Dubinina</surname>
       <given-names>Elena V.</given-names>
      </name>
     </name-alternatives>
     <email>elena-vd@yandex.ru</email>
     <xref ref-type="aff" rid="aff-2"/>
    </contrib>
    <contrib contrib-type="author">
     <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5595-0455</contrib-id>
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Свиридов</surname>
       <given-names>Дмитрий Александрович</given-names>
      </name>
      <name xml:lang="en">
       <surname>Sviridov</surname>
       <given-names>Dmitriy A.</given-names>
      </name>
     </name-alternatives>
     <email>labvin@yandex.ru</email>
     <xref ref-type="aff" rid="aff-3"/>
    </contrib>
    <contrib contrib-type="author">
     <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6913-9006</contrib-id>
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Томгорова</surname>
       <given-names>Светлана Михайловна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Tomgorova</surname>
       <given-names>Svetlana M.</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-4"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Всероссийский научно-исследовательский институт пивоваренной, безалкогольной и винодельческой промышленности</institution>
     <city>Москва</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">All-Russian Scientific Research Institute of the Brewing, Beverage and Wine Industry</institution>
     <city>Moscow</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-2">
    <aff>
     <institution xml:lang="ru">Всероссийский научно-исследовательский институт пивоваренной, безалкогольной и винодельческой промышленности</institution>
     <city>Москва</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">All-Russian Scientific Research Institute of the Brewing, Beverage and Wine Industry</institution>
     <city>Moscow</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-3">
    <aff>
     <institution xml:lang="ru">Всероссийский научно-исследовательский институт пивоваренной, безалкогольной и винодельческой промышленности</institution>
     <city>Москва</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">All-Russian Scientific Research Institute of Brewing, Beverage and Wine Industry</institution>
     <city>Moscow</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-4">
    <aff>
     <institution xml:lang="ru">Всероссийский научно-исследовательский институт пивоваренной, безалкогольной и винодельческой промышленности</institution>
     <city>Москва</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">All-Russian Scientific Research Institute of the Brewing, Beverage and Wine Industry</institution>
     <city>Moscow</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2023-06-23T09:09:29+03:00">
    <day>23</day>
    <month>06</month>
    <year>2023</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2023-06-23T09:09:29+03:00">
    <day>23</day>
    <month>06</month>
    <year>2023</year>
   </pub-date>
   <volume>53</volume>
   <issue>2</issue>
   <fpage>326</fpage>
   <lpage>334</lpage>
   <history>
    <date date-type="received" iso-8601-date="2022-10-10T00:00:00+03:00">
     <day>10</day>
     <month>10</month>
     <year>2022</year>
    </date>
    <date date-type="accepted" iso-8601-date="2022-12-06T00:00:00+03:00">
     <day>06</day>
     <month>12</month>
     <year>2022</year>
    </date>
   </history>
   <self-uri xlink:href="https://fptt.ru/en/issues/21711/21746/">https://fptt.ru/en/issues/21711/21746/</self-uri>
   <abstract xml:lang="ru">
    <p>Для расширения ассортимента алкогольных напитков на основе дистиллятов перспективным является использование новых видов сырья, в том числе хлебопекарных отходов. Объективных методов оптимизации рабочих параметров дистилляции с учетом особенностей биохимического состава исходного сырья не существует. Целью исследования являлась разработка методологии оптимизации режимных параметров дистилляции при использовании новых видов сырья.&#13;
Объектами исследования являлись дистилляты, полученные из промышленных образцов отходов хлебопекарного производства. Переменные факторы на стадии дистилляции: скорость дистилляции от 5 до 17 см3/мин, степень подкисления сусла рН 6,0–2,0. Состав и массовую концентрацию летучих компонентов определяли методом газовой хроматографии. Органолептическая оценка была проведена группой экспертов.&#13;
По результатам однофакторных экспериментов было показано, что скорость дистилляции и степень подкисления сброженного сусла влияют на изменение концентрации отдельных летучих компонентов в дистилляте. Расчет коэффициентов парной корреляции позволил выделить наиболее значимые параметры: массовую концентрацию 1-пропанола и фенилэтилового спирта и этиллактата, сумму энантовых эфиров, отношение суммы энантовых эфиров к сумме сложных эфиров, отношение концентрации этиллактата и суммы энантовых эфиров, соотношение концентраций изобутанола и 1-пропанола. Среди выбранных показателей рассчитали коэффициенты линейной парной корреляции. На основе анализа расчетных данных была построена регрессионная модель влияния отдельных параметров на дегустационную оценку. Методом определения экстремумов функции двух переменных установили оптимальные рабочие параметры процесса дистилляции: рН 4,4 ± 0,2, скорость 9,5 ± 1,0 см3/мин.&#13;
Разработанная методика предусматривает следующую последовательность операций: установление значимости предлагаемого переменного фактора, выбор параметров оценки на основе результатов однофакторных экспериментов, определение взаимодействия и разработка регрессионной модели процесса. Этот метод может быть использован для расчета оптимальных технологических параметров дистилляции при переработке других видов сырья.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>The range of high-quality alcoholic beverages could be expanded by unconventional raw materials, e.g., bakery waste. Any new technology requires optimization of operating parameters at each production stage. The sensory properties of an alcoholic drink depend on the distillation mode. However, food science knows no objective methods for optimizing distillation parameters based on the biochemical composition of the raw material. The research objective was to develop a new methodology for optimizing the distillation procedure for alcoholic drinks based on unconventional raw materials. &#13;
The research featured distillates obtained from industrial samples of bakery waste. The variable factors included the distillation rate, which ranged from 5 to 17 cm3/min, and the wort acidification degree, which was pH 6.0–2.0. The composition and mass concentration of the main volatile components were determined by gas chromatography using a Thermo Trace GC Ultra device (Thermo, USA) with a flame ionization detector. The sensory evaluation was performed by a panel of qualified experts. The single-factor experiment showed that the distillation rate and the wort acidification degree affected the concentration of each volatile component in the distillate. &#13;
Using the method of pairwise correlation coefficients, the authors identified the most significant parameters: mass concentration of 1-propanol, phenylethyl alcohol, ethyl lactate, total enanthic esters, total enanthic esters vs. total esters, concentration of ethyl lactate vs. total enanthic esters, isobutanol concentration vs.1-propanol concentration. The linear pair correlation coefficients were calculated for these selected indicators, and the effect of each parameter on the sensory profile was represented as a regression model. The optimal operating parameters were determined by extremization of a two-variable function: pH 4.4 ± 0.2, speed 9.5 ± 1.0 cm3/min. &#13;
The new methodology provided for the following sequence of operations: determining the significance of the variable factor; selecting the evaluation parameters based on a single-factor experiment; determining the interaction; developing a regression model. This method can be used to calculate the optimal technological distillation parameters for other raw materials.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>Алкогольные напитки</kwd>
    <kwd>дистилляты</kwd>
    <kwd>режимы дистилляции</kwd>
    <kwd>скорость дистилляции</kwd>
    <kwd>степень подкисления</kwd>
    <kwd>оценка качества дистиллята</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>Alcoholic beverages</kwd>
    <kwd>distillates</kwd>
    <kwd>distillation modes</kwd>
    <kwd>distillation rate</kwd>
    <kwd>degree of acidification</kwd>
    <kwd>assessing distillate quality</kwd>
   </kwd-group>
   <funding-group>
    <funding-statement xml:lang="ru">Статья подготовлена в рамках выполнения исследований по государственному заданию № 0585- 2019-001 Федерального научного центра пищевых систем им. В. М. Горбатова РАН.</funding-statement>
    <funding-statement xml:lang="en">The article was published as part of state assignment No. 0585-2019-001 to the V.M. Gorbatov Federal Research Center for Food Systems of RAS.</funding-statement>
   </funding-group>
  </article-meta>
 </front>
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