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α-Glucosidase (yeast maltase)

Product code: E-MALTS

2,000 Units

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Content: 2,000 Units
Shipping Temperature: Ambient
Storage Temperature: 2-8oC
Formulation: In 3.2 M ammonium sulphate
Physical Form: Suspension
Stability: > 4 years at 4oC
Enzyme Activity: α-Glucosidase
EC Number:
CAZy Family: GH13
CAS Number: 9001-42-7
Synonyms: alpha-glucosidase; alpha-D-glucoside glucohydrolase
Source: Yeast
Molecular Weight: 52,000
Concentration: Supplied at ~ 1,000 U/mL
Expression: From Yeast
Specificity: Hydrolysis of terminal, non-reducing (1,4)-linked α-D-glucose residues with release of D-glucose. 
Specific Activity: ~ 120 U/mg (40oC, pH 6.8 on pNP-α-Glucosidase)
Unit Definition: One Unit of α-glucosidase activity is defined as the amount of enzyme required to produce one µmole of p-nitrophenol from pNP-α-Glucosidase (10 mM) in sodium phosphate buffer (100 mM), pH 6.8 at 40oC.
Temperature Optima: 40oC
pH Optima: 6.8
Application examples: Applications in carbohydrate research and in the food and feeds, brewing and biofuels industries.

High purity α-Glucosidase (yeast maltase) for use in research, biochemical enzyme assays and in vitro diagnostic analysis.

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FAQs Assay Protocol

Diurnal patterns of growth and transient reserves of sink and source tissues are affected by cold nights in barley.

Barros, K. A., Esteves‐Ferreira, A. A., Inaba, M., Meally, H., Finnan, J., Barth, S., Davis, S. J. & Sulpice, R. (2020). Plant, Cell & Environment, 43(6), 1404-1420.

Barley is described to mostly use sucrose for night carbon requirements. To understand how the transient carbon is accumulated and utilized in response to cold, barley plants were grown in a combination of cold days and/or nights. Both daytime and night cold reduced growth. Sucrose was the main carbohydrate supplying growth at night, representing 50–60% of the carbon consumed. Under warm days and nights, starch was the second contributor with 26% and malate the third with 15%. Under cold nights, the contribution of starch was severely reduced, due to an inhibition of its synthesis, including under warm days, and malate was the second contributor to C requirements with 24-28% of the total amount of carbon consumed. We propose that malate plays a critical role as an alternative carbon source to sucrose and starch in barley. Hexoses, malate, and sucrose mobilization and starch accumulation were affected in barley elf3 clock mutants, suggesting a clock regulation of their metabolism, without affecting growth and photosynthesis however. Altogether, our data suggest that the mobilization of sucrose and malate and/or barley growth machinery are sensitive to cold.

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Identification of α-glucosidase inhibitors from Clinacanthus nutans leaf extract using liquid chromatography-mass spectrometry-based metabolomics and protein-ligand interaction with molecular docking.

Murugesu, S., Ibrahim, Z., Ahmed, Q. U., Uzir, B. F., Yusoff, N. I. N., Perumal, V., Saari, K., Khatib, A. & Khatib, A. (2019). Journal of Pharmaceutical Analysis, 9(2), 91-99.

The present study used in vitro and in silico techniques, as well as the metabolomics approach to characterise α-glucosidase inhibitors from different fractions of Clinacanthus nutans. C. nutans is a medicinal plant belonging to the Acanthaceae family, and is traditionally used to treat diabetes in Malaysia. n-Hexane, n-hexane: ethyl acetate (1:1, v/v), ethyl acetate, ethyl acetate: methanol (1:1, v/v), and methanol fractions were obtained via partitioning of the 80% methanolic crude extract. The in vitro α-glucosidase inhibitory activity was analyzed using all the fractions collected, followed by profiling of the metabolites using liquid chromatography combined with mass spectrometry. The partial least square (PLS) statistical model was developed using the SIMCA P+14.0 software and the following four inhibitors were obtained: (1) 4,6,8-Megastigmatrien-3-one; (2) N-Isobutyl-2-nonen-6,8-diynamide; (3) 1′,2′-bis(acetyloxy)-3′,4′-didehydro-2′-hydro-β, ψ-carotene; and (4) 22-acetate-3-hydroxy-21-(6-methyl-2,4-octadienoate)-olean-12-en-28-oic acid. The in silico study performed via molecular docking with the crystal structure of yeast isomaltase (PDB code: 3A4A) involved a hydrogen bond and some hydrophobic interactions between the inhibitors and protein. The residues that interacted include ASN259, HID295, LYS156, ARG335, and GLY209 with a hydrogen bond, while TRP15, TYR158, VAL232, HIE280, ALA292, PRO312, LEU313, VAL313, PHE314, ARG315, TYR316, VAL319, and TRP343 with other forms of bonding.

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Rapid investigation of α-glucosidase inhibitory activity of Clinacanthus nutans leaf using infrared fingerprinting.

Murugesu, S., Ahmed, Q. U., Uzir, B. F., Yusoff, N. I. N., Perumal, V., Ibrahim, Z., Abas, F., Saari, K. & Khatib, A. (2019). Vibrational Spectroscopy, 100, 22-29.

The analytical method used in the quality control of Clinacanthus nutans leaves has not been well developed. Therefore, this study aimed to develop a simple analytical method to predict α-glucosidase inhibitory activity of this herb based on its infrared fingerprinting. The dried extracts obtained from maceration using solvents with different polarities were evaluated for the α-glucosidase inhibitory activity and analysed through infrared spectroscopy. Multivariate data analysis was performed by correlating the bioactivity and infrared spectrum of each extract using partial least square method. The loading plot from multivariate data analysis revealed that C-H and C=O infrared signals from terpenoids in the extract were positively correlated with the α-glucosidase inhibitory activity. The developed partial least square model was validated through a testing on the external samples. The result concludes that the developed model is valid and capable of predicting α-glucosidase inhibitory activity of the external samples.

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Measurement of the distribution of non‐structural carbohydrate composition in onion populations by a high‐throughput microplate enzymatic assay.

Revanna, R., Turnbull, M. H., Shaw, M. L., Wright, K. M., Butler, R. C., Jameson, P. E. & McCallum, J. A. (2013). Journal of the Science of Food and Agriculture, 93(10), 2470-2477.

Background: Non-structural carbohydrate (NSC; glucose, fructose, sucrose and fructan) composition of onions (Allium cepa L.) varies widely and is a key determinant of market usage. To analyse the physiology and genetics of onion carbohydrate metabolism and to enable selective breeding, an inexpensive, reliable and practicable sugar assay is required to phenotype large numbers of samples. Results: A rapid, reliable and cost-effective microplate-based assay was developed for NSC analysis in onions and used to characterise variation in tissue hexose, sucrose and fructan content in open-pollinated breeding populations and in mapping populations developed from a wide onion cross. Sucrose measured in microplates employing maltase as a hydrolytic enzyme was in agreement with HPLC-PAD results. The method revealed significant variation in bulb fructan content within open-pollinated ‘Pukekohe Longkeeper’ breeding populations over a threefold range. Very wide segregation from 80 to 600 g kg−1 in fructan content was observed in bulbs of F2 genetic mapping populations from the wide onion cross ‘Nasik Red × CUDH2150’. Conclusion: The microplate enzymatic assay is a reliable and practicable method for onion sugar analysis for genetics, breeding and food technology. Open-pollinated onion populations may harbour extensive within-population variability in carbohydrate content, which may be quantified and exploited using this method. The phenotypic data obtained from genetic mapping populations show that the method is well suited to detailed genetic and physiological analysis.

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Safety Data Sheet
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