Mannan Hajimahmoodi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Mannan Hajimahmoodi has a total of 105 co-authors. Here are the top co-authors by number of shared publications:
Naficeh Sadeghi
Department of Drug and Food Control, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
8 shared publicationsMohsen Amini
Department of Medicinal Chemistry, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
6 shared publications- Behrooz Jannat
Halal Research Center of IRI, FDA, Tehran, Iran
5 shared publications Fatemeh Zamani Mazdeh
Food and Drug Administration, Tehran University of Medical Sciences, Tehran, Iran
4 shared publicationsMahnaz Khanavi
Persian Medicine and Pharmacy Research Center, Tehran University of Medical Sciences, Tehran, Iran
4 shared publicationsMohammad Reza Khoshayand
Department of Drug and Food Control, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
4 shared publications
Latest Publications
- 20 January 2026
- Published by Springer Nature in Journal of Food Measurement and Characterization
- Vol. 20 (4) , 4153-4168
Optimization of Nigella sativa extraction in olive oil and development of a nondestructive method for thymoquinone quantification: a comprehensive approach by multivariate statistical methods
- 20 January 2026
- Published by Springer Nature in Journal of Food Measurement and Characterization
- Vol. 20 (4) , 4153-4168
Optimization of Nigella sativa extraction in olive oil and development of a nondestructive method for thymoquinone quantification: a comprehensive approach by multivariate statistical methods
- Open Access
- 9 August 2024
- Published by Springer Nature in Food Production, Processing and Nutrition
- Vol. 6 (1) , 1-21
Development, optimization, and characterization of vitamin C-fortified oleogel-based chewable gels and a novel nondestructive analysis method for the vitamin C assay
Chewable gels represent an excellent alternative to oral dosage forms, such as tablets and capsules, owing to their appealing appearance, easy swallowing, and attractive colors. Given the inherent instability of vitamin C, particularly within chewable gels, it is imperative to enhance its stability and mitigate its degradation during processing and storage. Oleogel, systems prepared through an environmentally friendly and pollution-free method, exhibit a three-dimensional network structure that eliminates oxygen, alleviates oxidation, and enhances vitamin C stability. This study focused on optimizing vitamin C-fortified oleogel-based chewable gels using Plackett–Burman and D-Optimal design methodologies to maximize vitamin C stability while maintaining favorable mechanical properties. The optimal formulation, Opt-C, was achieved by crystallizing the gel at -18 °C, incorporating 2.5 g of distilled monoglyceride (DMG), and maintaining an oleogel-to-chewable gel ratio of 10%. Opt-C was comprehensively characterized using differential scanning calorimetry (DSC) and Fourier transform infrared spectroscopy (FT-IR), and its stability was rigorously assessed. Furthermore, a nondestructive assay method for vitamin C determination in chewable gels was developed employing near-infrared spectroscopy (NIR) and chemometric techniques. Storage studies demonstrated that Opt-C retained 85% of its vitamin C content during accelerated tests over ten weeks, surpassing the 69% retention observed in the control chewable gel. Opt-C exhibited a slower release of vitamin C in simulated digestive fluids; however, this release profile did not adversely impact the overall availability of vitamin C. Ultimately, the developed multivariate model successfully predicts vitamin C concentration: root mean square error of calibration (RMSEC): 0.284, $${\text{R}}_{\text{cal}}^{2}$$ : 0.9906; RMSE cross-validation (RMSECV): 0.501, $${\text{R}}_{\text{val}}^{2}$$ : 0.9722; RMSE prediction (RMSEP): 0.670, $${\text{R}}_{\text{pred}}^{2}$$ : 0.9154. This innovative approach enhances the stability of water-soluble vitamins in chewable gels. Graphical Abstract- 9 August 2024
- Published by Springer Nature in Food Production, Processing and Nutrition
- Vol. 6 (1) , 1-21
Open AccessDevelopment, optimization, and characterization of vitamin C-fortified oleogel-based chewable gels and a novel nondestructive analysis method for the vitamin C assay
Chewable gels represent an excellent alternative to oral dosage forms, such as tablets and capsules, owing to their appealing appearance, easy swallowing, and attractive colors. Given the inherent instability of vitamin C, particularly within chewable gels, it is imperative to enhance its stability and mitigate its degradation during processing and storage. Oleogel, systems prepared through an environmentally friendly and pollution-free method, exhibit a three-dimensional network structure that eliminates oxygen, alleviates oxidation, and enhances vitamin C stability. This study focused on optimizing vitamin C-fortified oleogel-based chewable gels using Plackett–Burman and D-Optimal design methodologies to maximize vitamin C stability while maintaining favorable mechanical properties. The optimal formulation, Opt-C, was achieved by crystallizing the gel at -18 °C, incorporating 2.5 g of distilled monoglyceride (DMG), and maintaining an oleogel-to-chewable gel ratio of 10%. Opt-C was comprehensively characterized using differential scanning calorimetry (DSC) and Fourier transform infrared spectroscopy (FT-IR), and its stability was rigorously assessed. Furthermore, a nondestructive assay method for vitamin C determination in chewable gels was developed employing near-infrared spectroscopy (NIR) and chemometric techniques. Storage studies demonstrated that Opt-C retained 85% of its vitamin C content during accelerated tests over ten weeks, surpassing the 69% retention observed in the control chewable gel. Opt-C exhibited a slower release of vitamin C in simulated digestive fluids; however, this release profile did not adversely impact the overall availability of vitamin C. Ultimately, the developed multivariate model successfully predicts vitamin C concentration: root mean square error of calibration (RMSEC): 0.284, $${\text{R}}_{\text{cal}}^{2}$$ : 0.9906; RMSE cross-validation (RMSECV): 0.501, $${\text{R}}_{\text{val}}^{2}$$ : 0.9722; RMSE prediction (RMSEP): 0.670, $${\text{R}}_{\text{pred}}^{2}$$ : 0.9154. This innovative approach enhances the stability of water-soluble vitamins in chewable gels. Graphical Abstract - Open Access
- 1 February 2023
- Published by CMV Verlag in Journal of Agricultural Science and Technology
- Vol. 25 (2) , 391-401
Rapid Determination of Ethanol in Non-Alcoholic Malt Beverage by ATR-FT-IR Spectroscopy and Headspace Gas Chromatography Confirmation
Malt beverage is one of the most popular drinks in the world. Recently, consumption of non-alcoholic beverages has expanded significantly in many countries. The permitted level of alcohol in malt beverage is less than 0.5% by Iranian National Standards. In this study, a method was developed to determine ethanol content in ...
- 1 February 2023
- Published by CMV Verlag in Journal of Agricultural Science and Technology
- Vol. 25 (2) , 391-401
Open AccessRapid Determination of Ethanol in Non-Alcoholic Malt Beverage by ATR-FT-IR Spectroscopy and Headspace Gas Chromatography Confirmation
Malt beverage is one of the most popular drinks in the world. Recently, consumption of non-alcoholic beverages has expanded significantly in many countries. The permitted level of alcohol in malt beverage is less than 0.5% by Iranian National Standards. In this study, a method was developed to determine ethanol content in ...
- 27 June 2022
- Published by Springer Nature in Journal of Consumer Protection and Food Safety
- Vol. 17 (3) , 221-230
Detection and quantification of adulteration in turmeric by spectroscopy coupled with chemometrics
- 27 June 2022
- Published by Springer Nature in Journal of Consumer Protection and Food Safety
- Vol. 17 (3) , 221-230
Detection and quantification of adulteration in turmeric by spectroscopy coupled with chemometrics
- 1 April 2022
- Published by Elsevier in Journal of Food Composition and Analysis
- Vol. 107
Multivariate analysis of food fraud: A review of NIR based instruments in tandem with chemometrics
- 1 April 2022
- Published by Elsevier in Journal of Food Composition and Analysis
- Vol. 107
Multivariate analysis of food fraud: A review of NIR based instruments in tandem with chemometrics
- 1 April 2021
- Published by Elsevier in Journal of Ethnopharmacology
- Vol. 269, 113692
In vitro and in vivo antidiabetic activity of Tamarix stricta Boiss.: Role of autophagy
- 1 April 2021
- Published by Elsevier in Journal of Ethnopharmacology
- Vol. 269, 113692
In vitro and in vivo antidiabetic activity of Tamarix stricta Boiss.: Role of autophagy
- 1 December 2020
- Published by Elsevier in Analytical Biochemistry
- Vol. 610, 113891
HPLC methods for quantifying anticancer drugs in human samples: A systematic review
- 1 December 2020
- Published by Elsevier in Analytical Biochemistry
- Vol. 610, 113891
HPLC methods for quantifying anticancer drugs in human samples: A systematic review
- Open Access
- 1 November 2020
- Vol. 1 (2) , 71-77
Determination of ethanol content in industrial and domestic vinegar samples by headspace-gas chromatography
- 1 November 2020
- Vol. 1 (2) , 71-77
Open AccessDetermination of ethanol content in industrial and domestic vinegar samples by headspace-gas chromatography
- Open Access
- 1 May 2020
- Vol. 1 (1) , 1-7
Validated analytical method for characterization of alcohols marketed in Tehran, Iran
- 1 May 2020
- Vol. 1 (1) , 1-7
Open AccessValidated analytical method for characterization of alcohols marketed in Tehran, Iran
- 1 July 2019
- Vol. 70 (4) , 167-180
Simultaneous Determination of Nine Sunscreen Agents by HPLC and Chemometric Analysis
A worldwide outbreak of skin cancer, related to ultraviolet (UV) radiations, was reported. Therefore, primary prevention programs were initiated. Application of sunscreens is one of the most efficient ways of protection; however, their efficiency and safety have remained a challenging issue. So, it seems necessary to consider the potential side effects for limiting the use acid amount of sunscreens. In this study, an high performance liquid chromatography (HPLC) system equipped wish a UV-visible detector has been used. For separation, an Agilent Cig column was used (Agilent Technologies, Santa Clara, CA). This method was applied for quantitative determination of nine UV filters in commercial sunscreen products which were widely used in Iran. Fifty samples of Iranian and imported sunscreen products were analyzed. The detection limit was determined to be 0.439-1.481 mu g/ml, and the quantization limit was determined to be 1.330-4.490 mu g/ml. Also, in this study, chemometric methods were used to investigate the differences between Iranian and other countries' sunscreen brands. It was observed that despite the amount of UV filters in Iranian sunscreens, which was in the allowed range, there were some differences between Iranian and other countries' sunscreens. The proposed HPLC method allows efficient and simultaneous analysis of UV filters and is suitable as a quality control assay for commercial sunscreen products.
- 1 July 2019
- Vol. 70 (4) , 167-180
Simultaneous Determination of Nine Sunscreen Agents by HPLC and Chemometric Analysis
A worldwide outbreak of skin cancer, related to ultraviolet (UV) radiations, was reported. Therefore, primary prevention programs were initiated. Application of sunscreens is one of the most efficient ways of protection; however, their efficiency and safety have remained a challenging issue. So, it seems necessary to consider the potential side effects for limiting the use acid amount of sunscreens. In this study, an high performance liquid chromatography (HPLC) system equipped wish a UV-visible detector has been used. For separation, an Agilent Cig column was used (Agilent Technologies, Santa Clara, CA). This method was applied for quantitative determination of nine UV filters in commercial sunscreen products which were widely used in Iran. Fifty samples of Iranian and imported sunscreen products were analyzed. The detection limit was determined to be 0.439-1.481 mu g/ml, and the quantization limit was determined to be 1.330-4.490 mu g/ml. Also, in this study, chemometric methods were used to investigate the differences between Iranian and other countries' sunscreen brands. It was observed that despite the amount of UV filters in Iranian sunscreens, which was in the allowed range, there were some differences between Iranian and other countries' sunscreens. The proposed HPLC method allows efficient and simultaneous analysis of UV filters and is suitable as a quality control assay for commercial sunscreen products.