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Liu F, Edelmann M, Piironen V, Li Y, Liu X, Yan JK, Li L, Kariluoto S. How food matrices modulate folate bioaccessibility: A comprehensive overview of recent advances and challenges. Compr Rev Food Sci Food Saf 2024; 23:e13328. [PMID: 38551068 DOI: 10.1111/1541-4337.13328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 02/11/2024] [Accepted: 03/05/2024] [Indexed: 04/02/2024]
Abstract
The incomplete absorption of dietary folate makes it crucial to understand how food matrices affect folate bioaccessibility. Bioavailability encompasses bioaccessibility, which depicts the proportion that is liberated from the food matrix during digestion and becomes available for absorption. Bioavailability studies are expensive and difficult to control, whereas bioaccessibility studies utilize in vitro digestion models to parameterize the complex digestion, allowing the evaluation of the effect of food matrices on bioaccessibility. This review covers the folate contents in various food matrices, the methods used to determine and the factors affecting folate bioaccessibility, and the advances and challenges in understanding how food matrices affect folate bioaccessibility. The methods for determining bioaccessibility have been improved in the last decade. Current research shows that food matrices modulate folate bioaccessibility by affecting the liberation and stability of folate during digestion but do not provide enough information about folate and food component interactions at the molecular level. In addition, information on folate interconversion and degradation during digestion is scant, hindering our understanding of the impact of food matrices on folate stability. Moreover, the role of conjugase inhibitors should not be neglected when evaluating the nutritional value of food folates. Due to the complexity of food digestion, holistic methods should be applied to investigate bioaccessibility. By synthesizing the current state of knowledge on this topic, this review highlights the lack of in-depth understanding of the mechanisms of how food matrices modulate folate bioaccessibility and provides insights into potential strategies for accurate evaluation of the nutritional value of dietary folate.
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Affiliation(s)
- Fengyuan Liu
- Engineering Research Center of Health Food Design & Nutrition Regulation, Dongguan Key Laboratory of Typical Food Precision Design, China National Light Industry Key Laboratory of Healthy Food Development and Nutrition Regulation, School of Life and Health Technology, Dongguan University of Technology, Dongguan, China
| | - Minnamari Edelmann
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Vieno Piironen
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Yuting Li
- Engineering Research Center of Health Food Design & Nutrition Regulation, Dongguan Key Laboratory of Typical Food Precision Design, China National Light Industry Key Laboratory of Healthy Food Development and Nutrition Regulation, School of Life and Health Technology, Dongguan University of Technology, Dongguan, China
| | - Xiaozhen Liu
- Engineering Research Center of Health Food Design & Nutrition Regulation, Dongguan Key Laboratory of Typical Food Precision Design, China National Light Industry Key Laboratory of Healthy Food Development and Nutrition Regulation, School of Life and Health Technology, Dongguan University of Technology, Dongguan, China
| | - Jing-Kun Yan
- Engineering Research Center of Health Food Design & Nutrition Regulation, Dongguan Key Laboratory of Typical Food Precision Design, China National Light Industry Key Laboratory of Healthy Food Development and Nutrition Regulation, School of Life and Health Technology, Dongguan University of Technology, Dongguan, China
| | - Lin Li
- Engineering Research Center of Health Food Design & Nutrition Regulation, Dongguan Key Laboratory of Typical Food Precision Design, China National Light Industry Key Laboratory of Healthy Food Development and Nutrition Regulation, School of Life and Health Technology, Dongguan University of Technology, Dongguan, China
| | - Susanna Kariluoto
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
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Feng S, Ngo HH, Guo W, Chang SW, Nguyen DD, Liu Y, Zhang X, Bui XT, Varjani S, Hoang BN. Wastewater-derived biohydrogen: Critical analysis of related enzymatic processes at the research and large scales. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 851:158112. [PMID: 35985587 DOI: 10.1016/j.scitotenv.2022.158112] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 08/12/2022] [Accepted: 08/14/2022] [Indexed: 06/15/2023]
Abstract
Organic-rich wastewater is a feasible feedstock for biohydrogen production. Numerous review on the performance of microorganisms and the diversity of their communities during a biohydrogen process were published. However, there is still no in-depth overview of enzymes for biohydrogen production from wastewater and their scale-up applications. This review aims at providing an insightful exploration of critical discussion in terms of: (i) the roles and applications of enzymes in wastewater-based biohydrogen fermentation; (ii) systematical introduction to the enzymatic processes of photo fermentation and dark fermentation; (iii) parameters that affect enzymatic performances and measures for enzyme activity/ability enhancement; (iv) biohydrogen production bioreactors; as well as (v) enzymatic biohydrogen production systems and their larger scales application. Furthermore, to assess the best applications of enzymes in biohydrogen production from wastewater, existing problems and feasible future studies on the development of low-cost enzyme production methods and immobilized enzymes, the construction of multiple enzyme cooperation systems, the study of biohydrogen production mechanisms, more effective bioreactor exploration, larger scales enzymatic biohydrogen production, and the enhancement of enzyme activity or ability are also addressed.
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Affiliation(s)
- Siran Feng
- School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NWS 2007, Australia
| | - Huu Hao Ngo
- School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NWS 2007, Australia; Institute of Environmental Sciences, Nguyen Tat Thanh University, Ho Chi Minh City, Viet Nam; Joint Research Center for Protective Infrastructure Technology and Environmental Green Bioprocess, School of Environmental and Municipal Engineering, Tianjin Chengjian University, Tianjin 300384, China.
| | - Wenshan Guo
- School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NWS 2007, Australia; Joint Research Center for Protective Infrastructure Technology and Environmental Green Bioprocess, School of Environmental and Municipal Engineering, Tianjin Chengjian University, Tianjin 300384, China
| | - Soon Woong Chang
- Department of Environmental Energy Engineering, Kyonggi University, 442-760, Republic of Korea
| | - Dinh Duc Nguyen
- Department of Environmental Energy Engineering, Kyonggi University, 442-760, Republic of Korea
| | - Yi Liu
- Department of Environmental Science and Engineering, Fudan University, 2205 Songhu Road, Shanghai 200438, China
| | - Xinbo Zhang
- Joint Research Center for Protective Infrastructure Technology and Environmental Green Bioprocess, School of Environmental and Municipal Engineering, Tianjin Chengjian University, Tianjin 300384, China
| | - Xuan Thanh Bui
- Key Laboratory of Advanced Waste Treatment Technology, Faculty of Environment & Natural Resources, Ho Chi Minh City University of Technology (HCMUT), Vietnam National University Ho Chi Minh (VNU-HCM), Ho Chi Minh city 70000, Viet Nam
| | - Sunita Varjani
- Gujarat Pollution Control Board, Paryavaran Bhavan, CHH Road, Sector 10A, Gandhinagar 382 010, Gujarat, India
| | - Bich Ngoc Hoang
- Institute of Environmental Sciences, Nguyen Tat Thanh University, Ho Chi Minh City, Viet Nam
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Agyenim-Boateng KG, Zhang S, Islam MS, Gu Y, Li B, Azam M, Abdelghany AM, Qi J, Ghosh S, Shaibu AS, Gebregziabher BS, Feng Y, Li J, Li Y, Zhang C, Qiu L, Liu Z, Liang Q, Sun J. Profiling of naturally occurring folates in a diverse soybean germplasm by HPLC-MS/MS. Food Chem 2022; 384:132520. [PMID: 35217465 DOI: 10.1016/j.foodchem.2022.132520] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/27/2022] [Accepted: 02/17/2022] [Indexed: 11/04/2022]
Abstract
Soybean is a rich source of folates. We optimised the extraction and detection of folates from soybean seeds by HPLC-MS/MS and analysed the folate content and composition of 1074 accessions. Total folate content ranged from 64.51 to 691.24 μg/100 g fresh weight, with 10-fold variation, and 60 elite accessions with over 400 μg/100 g of total folate were identified. The most abundant component was 5-CHO-H4folate, which accounted for an average of 60% of total folate content. Seed-coat colour, seed weight, ecoregion, and accession type significantly affected soybean folate content. Furthermore, 5-CH3-H4folate correlated positively with seed protein (r = 0.24***) and negatively with oil (r = -0.26***). The geographical distribution of folate according to accession origin revealed that accessions from Northeast China contain higher amounts of total folate and 5-CHO-H4folate. This study provides comprehensive and novel insights into the folate profile of soybean, which will benefit soybean breeding for folate enhancement.
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Affiliation(s)
- Kwadwo Gyapong Agyenim-Boateng
- The National Engineering Research Center of Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Shengrui Zhang
- The National Engineering Research Center of Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Md Shariful Islam
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yongzhe Gu
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Laboratory of Germplasm and Biotechnology (MARA), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Bin Li
- The National Engineering Research Center of Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Muhammad Azam
- The National Engineering Research Center of Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Ahmed M Abdelghany
- The National Engineering Research Center of Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Crop Science Department, Faculty of Agriculture, Damanhour University, Damanhour 22516, Egypt
| | - Jie Qi
- The National Engineering Research Center of Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Suprio Ghosh
- The National Engineering Research Center of Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Bangladesh Agricultural Research Institute, Gazipur 1701, Bangladesh
| | - Abdulwahab S Shaibu
- The National Engineering Research Center of Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Department of Agronomy, Bayero University, Kano 700001, Nigeria
| | - Berhane Sibhatu Gebregziabher
- The National Engineering Research Center of Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Crop Sciences Research Department, Mehoni Agricultural Research Center, Maichew 7020, Ethiopia
| | - Yue Feng
- The National Engineering Research Center of Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jing Li
- The National Engineering Research Center of Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yinghui Li
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Laboratory of Germplasm and Biotechnology (MARA), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Chunyi Zhang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Lijuan Qiu
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Laboratory of Germplasm and Biotechnology (MARA), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Zhangxiong Liu
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Laboratory of Germplasm and Biotechnology (MARA), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Qiuju Liang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Junming Sun
- The National Engineering Research Center of Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
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Ložnjak Švarc P, Oveland E, Strandler HS, Kariluoto S, Campos-Giménez E, Ivarsen E, Malaviole I, Motta C, Rychlik M, Striegel L, Jakobsen J. Collaborative study: Quantification of total folate in food using an efficient single-enzyme extraction combined with LC-MS/MS. Food Chem 2020; 333:127447. [PMID: 32688304 DOI: 10.1016/j.foodchem.2020.127447] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 06/24/2020] [Accepted: 06/27/2020] [Indexed: 12/16/2022]
Abstract
Quantification of the specific folate vitamers to estimate total folate in foods is not standardized. A collaborative study, including eight European laboratories, was conducted in order to determine the repeatability and reproducibility of the method for folate quantification in foods using the plant-origin γ-glutamyl hydrolase as part of the extraction procedure. The seven food samples analyzed represent the food groups; fruits, vegetables, dairy products, legumes, offal, fish, and fortified infant formula. The homogenization step was included, and six folate vitamers were analyzed using LC-MS/MS. Total folate content, expressed as folic acid equivalent, was 17-490 μg/100 g in all samples. Horwitz ratio values were within the acceptable range (0.60-1.94), except for fish. The results for fortified infant formula, a certified reference material (NIST 1869), confirmed the trueness of the method. The collaborative study is part of a standardization project within the Nordic Committee on Food Analysis (NMKL).
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Affiliation(s)
- Petra Ložnjak Švarc
- National Food Institute, Technical University of Denmark, Kemitorvet, 2800 Kgs. Lyngby, Denmark.
| | - Eystein Oveland
- Institute of Marine Research, P. O. Box 1870, Nordnes, N-5817 Bergen, Norway.
| | | | - Susanna Kariluoto
- University of Helsinki, Department of Food and Nutrition, Agnes Sjöbergin katu 2, FI-00790 Helsinki, Finland.
| | - Esther Campos-Giménez
- Nestle Research, Route du Jorat 57, Vers-chez-les-Blanc, 1000 Lausanne 26, Switzerland.
| | - Elise Ivarsen
- Eurofins Vitamin Testing, Ladelundvej 85, 6600 Vejen, Denmark.
| | | | - Carla Motta
- National Health Institute, Dr. Ricardo Jorge, Av. Padre Cruz, 1649-016 Lisbon, Portugal.
| | - Michael Rychlik
- Chair of Analytical Food Chemistry, Technical University of Munich, Max-von-Imhof Forum 2, DE-85354 Freising, Germany; Centre for Nutrition and Food Sciences, University of Queensland, St Lucia QLD 4069, Australia.
| | - Lisa Striegel
- Chair of Analytical Food Chemistry, Technical University of Munich, Max-von-Imhof Forum 2, DE-85354 Freising, Germany.
| | - Jette Jakobsen
- National Food Institute, Technical University of Denmark, Kemitorvet, 2800 Kgs. Lyngby, Denmark.
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Md Noh MF, Gunasegavan RDN, Mustafa Khalid N, Balasubramaniam V, Mustar S, Abd Rashed A. Recent Techniques in Nutrient Analysis for Food Composition Database. Molecules 2020; 25:E4567. [PMID: 33036314 PMCID: PMC7582643 DOI: 10.3390/molecules25194567] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 08/13/2020] [Accepted: 08/17/2020] [Indexed: 01/25/2023] Open
Abstract
Food composition database (FCD) provides the nutritional composition of foods. Reliable and up-to date FCD is important in many aspects of nutrition, dietetics, health, food science, biodiversity, plant breeding, food industry, trade and food regulation. FCD has been used extensively in nutrition labelling, nutritional analysis, research, regulation, national food and nutrition policy. The choice of method for the analysis of samples for FCD often depends on detection capability, along with ease of use, speed of analysis and low cost. Sample preparation is the most critical stage in analytical method development. Samples can be prepared using numerous techniques; however it should be applicable for a wide range of analytes and sample matrices. There are quite a number of significant improvements on sample preparation techniques in various food matrices for specific analytes highlighted in the literatures. Improvements on the technology used for the analysis of samples by specific instrumentation could provide an alternative to the analyst to choose for their laboratory requirement. This review provides the reader with an overview of recent techniques that can be used for sample preparation and instrumentation for food analysis which can provide wide options to the analysts in providing data to their FCD.
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Affiliation(s)
- Mohd Fairulnizal Md Noh
- Nutrition, Metabolism and Cardiovascular Research Centre, Institute for Medical Research, National Institutes of Health, No.1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam 40170, Malaysia; (R.D.-N.G.); (N.M.K.); (V.B.); (S.M.); (A.A.R.)
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Quantification of folate in food using deconjugase of plant origin combined with LC-MS/MS: A method comparison of a large and diverse sample set. Food Chem 2020; 305:125450. [DOI: 10.1016/j.foodchem.2019.125450] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 08/27/2019] [Accepted: 08/30/2019] [Indexed: 11/21/2022]
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Jakobsen J, Melse-Boonstra A, Rychlik M. Challenges to Quantify Total Vitamin Activity: How to Combine the Contribution of Diverse Vitamers? Curr Dev Nutr 2019; 3:nzz086. [PMID: 31598575 PMCID: PMC6776468 DOI: 10.1093/cdn/nzz086] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 07/19/2019] [Accepted: 07/22/2019] [Indexed: 12/17/2022] Open
Abstract
This state-of-the-art review aims to highlight the challenges in quantifying vitamin activity in foods that contain several vitamers of a group, using as examples the fat-soluble vitamins A and D as well as the water-soluble folate. The absorption, metabolism, and physiology of these examples are described along with the current analytical methodology, with an emphasis on approaches to standardization. Moreover, the major food sources for the vitamins are numerated. The article focuses particularly on outlining the so-called SLAMENGHI factors influencing a vitamer's' ability to act as a vitamin, that is, molecular species, linkage, amount, matrix, effectors of absorption, nutrition status, genetics, host-related factors, and the interaction of these. After summarizing the current approaches to estimating the total content of each vitamin group, the review concludes by outlining the research gaps and future perspectives in vitamin analysis. There are no standardized methods for the quantification of the vitamers of vitamin A, vitamin D, and folate in foods. For folate and β-carotene, a difference in vitamer activity between foods and supplements has been confirmed, whereas no difference has been observed for vitamin D. For differences in vitamer activity between provitamin A carotenoids and retinol, and between 25-hydroxyvitamin D and vitamin D, international consensus is lacking. The challenges facing each of the specific vitamin communities are the gaps in knowledge about bioaccessibility and bioavailability for each of the various vitamers. The differences between the vitamins make it difficult to formulate a common strategy for assessing the quantitative differences between the vitamers. In the future, optimized stationary digestive models and the more advanced dynamic digestive models combined with in vitro models for bioavailability could more closely resemble in vivo results. New knowledge will enable us to transfer nutrient recommendations into improved dietary advice to increase public health throughout the human life cycle.
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Affiliation(s)
- Jette Jakobsen
- National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Alida Melse-Boonstra
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Michael Rychlik
- Technical University of Munich, Freising, Germany
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Coopers Plains, Australia
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