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Maltulose - ≥98% , CAS No.17606-72-3
AVAILABLE TO ORDER
GRADE & PURITY ≥98%
Storage
Room temperature
Shipped In
Normal
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Why this grade
≥98% for sensitive chromatographic and analytical workflows requiring minimal baseline interference.
Storage & shipping
Room temperature Ships Normal Check lot-specific COA for exact specifications.
Quality documents
SDS, COA, datasheet, and spec sheet available for download. Lot-specific COA accessible via lot number lookup.
Literature proof
Cited in 2 peer-reviewed publications across chromatography, organic synthesis, and cross-coupling reactions.
Specifications
Specifications & Purity
≥98%
Storage
Room temperature
Shipped In
Normal
Purity
≥98%
Names and Identifiers
| Molecular Weight | 342.3 |
|---|
Documentation
📋 Safety Data Sheet (SDS)
Comprehensive hazard, handling, storage, and regulatory compliance document.
Download SDS →✅ Certificate of Analysis (COA)
Lot-specific quality data. Enter your lot number to retrieve the exact COA.
Look up COA →🔬 Specification Sheet
Full quality attributes and acceptance criteria for this grade.
View spec sheet →Advanced Data
Certificates（CoA,COO,BSE/TSE and Analysis Chart)
C of A & Other Certificates(BSE/TSE, COO):
Analytical Chart:
Chemical and Physical Properties
| Specific Rotation[α] | +49.0 to +54.0 deg(C=1, H2O) |
|---|---|
| Molecular Weight | 342.300 g/mol |
| XLogP3 | -4.800 |
| Hydrogen Bond Donor Count | 8 |
| Hydrogen Bond Acceptor Count | 11 |
| Rotatable Bond Count | 8 |
| Exact Mass | 342.116 Da |
| Monoisotopic Mass | 342.116 Da |
| Topological Polar Surface Area | 197.000 Ų |
| Heavy Atom Count | 23 |
| Formal Charge | 0 |
| Complexity | 378.000 |
| Isotope Atom Count | 0 |
| Defined Atom Stereocenter Count | 8 |
| Undefined Atom Stereocenter Count | 0 |
| Defined Bond Stereocenter Count | 0 |
| Undefined Bond Stereocenter Count | 0 |
| The total count of all stereochemical bonds | 0 |
| Covalently-Bonded Unit Count | 1 |
Citations of This Product
References
| 1. Chenyu Sun, Fei Pan, Wenli Tian, Zongyan Cui, Xiaofeng Xue, Yitian Xu. (2025) Precise Discrimination Between Rape Honey and Acacia Honey Based on Sugar and Amino Acid Profiles Combined with Machine Learning. Foods, 15 (1): (70). [PMID:41517136] [10.3390/foods15010070] |
| 2. Ru Jia, Sha Yan, Xuezhe Huang, Zongyan Cui, Xiaofeng Xue. (2026) Sugar profile in monofloral honeys from China: Implications for quality control. FOOD CHEMISTRY, [PMID:41724152] [10.1016/j.foodchem.2026.148513] |
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