Search or add a thesis

Advanced Search (Beta)
Home > Bioconversion of Plant Feedstock to Fermentable Saccharides

Bioconversion of Plant Feedstock to Fermentable Saccharides

Thesis Info

Access Option

External Link

Author

Nawaz, Ali

Program

PhD

Institute

Government College University

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2018

Thesis Completion Status

Completed

Subject

Biotechnology

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/12903/1/Ali%20Nawaz%20PhD%20Thesis_18.10.2018.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676725600995

Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

Join our Whatsapp Channel to get regular updates.

Similar


Bioconversion of different pre-treated agricultural feed stocks into saccharides was carried out using thermophilic cellulases. Agricultural by-products i.e. sugarcane bagasse, wheat and rice straw were subjected to acid and alkali at steaming temperatures, auto-hydrolysis and microwave pre-treatments. Auto-hydrolysed and alkali pre-treated substrates showed better delignification i.e. 86.01% (wheat straw), 77.84% (sugarcane bagasse), 67.23% (rice straw) vs. 84.11% (wheat straw), 73.90% (sugarcane bagasse), 68.47% (rice straw), respectively. These de-lignified substrates were analyzed for total phenolic content (TPC) which were subsequently removed by washing with distilled water, extraction by organic solvents and detoxification by calcium hydroxide. Minimum residual TPC was observed in auto-hydrolysed substrates using calcium hydroxide i.e. 52 mg gallic acid equivalent (GAE) per g of dry weight (DW) of substrate in wheat straw, 59 mg GAE/g DW in sugarcane bagasse and 54 mg GAE/g DW in rice straw. The surface area i.e. 4 and 2mm granule size of all auto-hydrolysed substrates was assessed for saccharification potential and granule size of 2mm was found best with saccharification of 11.01% (sugarcane bagasse), 9.34% (wheat straw) and 4.36% (rice straw). Saccharification of auto-hydrolysed substrates using simultaneous addition of cellulases gave maximum saccharification in wheat straw i.e. 22.93% after 5 h of incubation at 80°C employing sodium citrate buffer of pH 6.5. Cellulase concentration of Endo-1,4-β-glucanase (125 U), Exo-1,4-β-glucanase (150 U) and β-1,4- Glucosidase (50 U) was optimized for 2% of wheat straw yielding 36.78% saccharification. Sequential addition of cellulases showed an improved saccharification of 55.64% employing Endo- 1,4-β-glucanase (75 U), Exo-1,4-β-glucanase (100 U) and β-1,4-glucosidase (50U) after 5.5 h of incubation. Scale up of the sequential saccharification in a 50 L reaction vessel resulted in increased saccharification of 57.91% with decreased time of incubation (3.5 h). In addition, substrate concentration of 2.5 % with agitation of 100 rpm was optimized with consequent saccharification of 62.12%. After saccharification, the hydrolysate was analyzed for TPC which were removed using activated charcoal. Minimum TPC i.e. 64.43 mg GAE/mL of liquid phase was achieved using 3% activated charcoal at 40°C after 20 min of incubation. The hydrolysate was analyzed by thin layer chromatography and found to have glucose and cellobiose. Wheat straw before auto-hydrolysis, after auto- hydrolysis and enzymatic breakdown was assessed for structural variance by scanning electron microscopy.
Loading...
Loading...

Similar Books

Loading...

Similar Chapters

Loading...

Similar News

Loading...

Similar Articles

Loading...

Similar Article Headings

Loading...

جینے کے ڈھنگ تیری جدائی سکھا گئی

جینے کے ڈھنگ تیری جدائی سکھا گئی
اور یاد تیری مجھ کو ہے شاعر بنا گئی

آندھی سفر کی رات میں جو چل پڑی تو کیا
اچھا ہوا کہ راہ کے پتھر ہٹا گئی

دورِ جنوں میں رہتا تھا خوش باش میں بہت
یہ آگہی تو میری ہنسی کو ہی کھا گئی

فرقت کی رات نیند ہمیں آتی کس طرح
ہم کو شبیہ یار تھی کہ جو سلا گئی

دیکھو اداسی بھی کسی گربہ سے کم نہیں
چھوڑا کسی جگہ بھی تو پھر گھر کو آ گئی

اپنا یہاں ہے کون پرایا ہے فہدؔ کون
یہ راز ہم کو ایک مصیبت بتا گئی

Memorization Without Comprehension: A Window onto the ‘Extremities’ of the Capability of Human Brain

Muslims across the world memorize the Quran in Arabic for verbatim recall. Memorizers can be native speakers of Arabic, non-native speakers of Arabic, or non-Arabic speakers. The purpose of this study is to investigate expert Quran memorizers on their memorization practices including what they brought to the act of memorization and what, according to them, underlay their success in memorization. Ten memorizers were interviewed about their reflections on their memorization practices. The analysis reveals that while some practices of the Quran memorizers are in line with findings from research literature on memory, there are others which are peculiar to them. The conclusion drawn is that Quran memorizers recite accurately because they do not learn the language. It is further concluded that Quran memorization is a special case, in which a range of extra linguistic factors such as identity, motivation and intention play an important role.

Mathematical Modeling of Some Infectious Diseases With Integer and Non-Integer Order Derivatives

Mathematical models play an important role to understand the spread, per sistence and prevention mechanism of infectious diseases. In this thesis, we present some mathematical models and their analysis on the dynamics of Tuberculosis (TB) and Hepatitis B virus (HBV). Firstly, we develop these models with classical integer-order derivative and present a detailed qualita tive analysis including, existence and stability of the equilibria, sensitivity of the model parameters and the existence of the bifurcation phenomena. The threshold quantity also called the basic reproduction numberR0 is presented for each model that shows the disease persistence or elimination for their par ticular cases. Further, we develop some suitable optimal control strategies which would be useful for public health department and other health agen cies, in order to reduce and eradicate TB and HBV from the community. The reported TB infected cases in Khyber Pakhtunkhwa province of Pakistan, for the period 2002-2017 are used to parameterize the proposed TB model and an excellent agreement is shown with the field data. The models are solved numerically using Runge-Kutta order four (RK4) method and numerous nu merical simulations carried out to illustrate the disease dynamics and some of the theoretical results. Mathematical models with fractional differential equations (FDEs) are more realistic and provide comparatively better fit to the real data instead of integer order models. Moreover, FDEs possess the memory effect which plays an essential role in the spreading of a disease. Therefore, the second main mathematical findings of this thesis is that we extend the proposed models using fractional order derivatives considering three different fractional xvi operators namely; Caputo, Caputo-Fabrizio and Atangana-Baleanu-Caputo operators. The proposed fractional models are analyzed rigorously and solved numerically using fractional Adams-Bashforth scheme. The graphical results reveal that the models with fractional derivatives give useful and biologically more feasible consequences.