روش‌شناسی سطح پاسخ- بهینه‌سازی مبتنی بر استخراج پکتین از پوست یک موز بومی

نوع مقاله : مقاله پژوهشی انگلیسی

نویسندگان

ایژیلاراسان جی بلاجی

اوما شانکار کی

گروه علوم زیستی، دانشگاه مسیح، بنگلور، هند

https://doi.org/10.22067/ifstrj.2026.96779.1526

چکیده

مطالعه حاضر با هدف بهینه‌سازی استخراج پکتین از نمونه غیر AIS (خام) پوست موز آکومیناتا (Yelakki) انجام شد که با استفاده از روش استخراج به کمک اسیدسیتریک و با استفاده از روش سطح پاسخ (RSM) انجام شد. این مطالعه با استفاده از RSM انجام شد تا اثرات فردی، درجه دوم و تعاملی متغیرهای فرآیند (غلظت اسیدسیتریک، زمان استخراج و دما) بر بازده پکتین به‌طور سیستماتیک ارزیابی شود. این مطالعه بر اساس یک طرح سه عاملی برای تعیین شرایط بهینه و عوامل آماری معنی‌دار انجام شد. شرایط بهینه برای استخراج، غلظت 1.5٪، مدت زمان استخراج 90 دقیقه و دمای 61.59 درجه سانتی‌گراد با مقدار مطلوبیت 0.616 بود. در این شرایط، بازده پکتین 2.025٪ در مقایسه با پوست موز (AIS 8-20٪) بسیار کمتر بود. غلظت، زمان استخراج و دما اثر آماری معنی‌داری (p < 0.05) بر بازده پکتین نشان دادند. پکتین استخراج‌شده به‌عنوان پکتین با متوکسیل بالا طبقه‌بندی شد و DE آن 53.49٪ بود که کمی کمتر از مقادیری است که معمولاً برای منابع متعارف گزارش می‌شود. درجه استری شدن در محدوده قابل قبول برای پکتین HM باقی می‌ماند و حاوی محتوای متوکسیل 4.75٪ و اسید آنهیدرورونیک 50.45٪ است. یافته‌های ما نشان می‌دهد که پوست موز آکومیناتا (Yelakki) بدون AIS به‌طور بالقوه به‌عنوان یک ماده اولیه کم‌هزینه برای تولید پکتین در نظر گرفته می‌شود. مطالعات آینده ممکن است بر افزایش بازده پکتین با استفاده از روش‌های استخراج جایگزین و اصلاح بیشتر پارامترهای فرآیند از طریق تکنیک‌های بهینه‌سازی با استفاده از RSM،ANN  یا سایر مدل‌های آماری تمرکز کنند.

کلیدواژه‌ها

اسید سیتریک

غیر AIS

مدل‌سازی آماری

موز یلاکی

RSM

موضوعات

• زیست فناوری مواد غذایی

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عنوان مقاله English

Response Surface Methodology– Driven Optimization of Pectin Extraction from Peels of an Indigenous Musa acuminata

نویسندگان English

Ezhilarasan J Balaji

Uma Shankar K

Department of Life Sciences, Christ University, Bengaluru, India

چکیده English

The current study aimed to optimize pectin extraction from the non-AIS (crude) sample variety of Musa acuminata (Yelakki) peel, which was conducted by applying Response Surface Methodology (RSM), using a citric acid-assisted extraction method. The study was conducted with RSM to systematically evaluate the individual, quadratic, and interactive effects of process variables (Citric acid concentration, extraction time, and temperature) on the pectin yield. It was carried out based on a three-factor design to determine optimal conditions and statistically significant factors. The optimum conditions for extraction were found to be a concentration of 1.5%, an extraction duration of 90 minutes, and a temperature of 61.59°C with a desirability value of 0.616. In these conditions, the yield of pectin of 2.025% was very lower, when compared with banana peel AIS (8-20%). Concentration, extraction time, and temperature showed a statistically significant effect (p < 0.05) on pectin yield. The extracted pectin was categorized as high methoxyl pectin, exhibiting a DE of 53.49%, which is slightly lower than values typically reported for conventional sources. The degree of esterification remains within the acceptable range for HM pectin and contains Methoxyl content of 4.75% and Anhydrouronic acid of 50.45%. Our findings suggest that non-AIS Musa acuminata (Yelakki) peel potentially considered as a low-cost raw material for pectin production. Future studies may focus on enhancing pectin yield by using alternative extraction methods and further refining process parameters through optimization techniques using RSM, ANN or other statistical models.

کلیدواژه‌ها English

Citric acid

Non-AIS

RSM

Statistical modelling

Yelakki banana

Authors retain the copyright. This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0)

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