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hemical Synthesis of Light Calcium Carbonate: Progress and Vibrating Screen Applications
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hemical Synthesis of Light Calcium Carbonate: Progress and Vibrating Screen Applications

2025-05-06

Abstract: Calcium carbonate stands as a vital inorganic functional material with extensive industrial applications. With rapid global industrial development, the demand for high-performance precipitated calcium carbonate (PCC) continues to surge. Chemical synthesis remains the exclusive method for producing functional PCC products. This paper examines three crystalline forms (calcite, aragonite, vaterite), analyzes three chemical synthesis systems (Ca²⁺-H₂O-CO₃²⁻, Ca²⁺-H₂O-CO₂, and Ca²⁺-R-CO₃²⁻), and reviews the roles of inorganic ions, soluble copolymers, and biomacromolecules as additives. Addressing China's reliance on imported high-grade PCC, we outline future development priorities. Keywords: chemical synthesis; precipitated calcium carbonate; production systems; additives; calcite; aragonite; vaterite

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Introduction
Calcium carbonate, a multifunctional material with non-toxic, heat-resistant, and cost-effective properties, finds applications across construction, pharmaceuticals, cosmetics, and 18+ industries. Industrial production employs physical grinding (GCC) and chemical precipitation (PCC). While GCC offers cost benefits, its irregular morphology and impurities limit high-end use. Emerging demands in biomedicine and advanced cosmetics necessitate precise control of PCC's morphology, particle size distribution, and purity. Though China leads PCC production volumes, technological gaps persist in functionalization and specialized additives. This review explores chemical synthesis advancements to guide domestic high-performance PCC development.

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1. Calcium Carbonate Polymorphs
Anhydrous CaCO₃ exists in three forms: spherical vaterite, needle-like aragonite, and rhombohedral calcite (Fig.1, Table 1).

1.1 Calcite
The thermodynamically stable phase dominates conventional production. Key challenges involve morphology/size control through chemical modulation.

1.2 Aragonite
This metastable phase exhibits high-value whisker morphology. Bio-inspired synthesis using inorganic ions/biomacromolecules represents current research frontiers.

1.3 Vaterite
With high biodegradability and surface area, this unstable phase requires additive stabilization. Techniques include salt saturation, alkaline conditions, and temperature control.

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2. Synthesis Systems

2.1 Ca²⁺-H₂O-CO₃²⁻ System
Liquid-solid reactions enable controlled PCC production but face rapid kinetics and chloride contamination challenges. Studies by Kogo* et al.* demonstrate pH-dependent phase composition.

2.2 Ca²⁺-H₂O-CO₂ System
Carbonation methods (bubble, spray, hypergravity) dominate industrial production. While cost-effective, they struggle with phase uniformity and particle distribution control - areas where vibrating screen technology could enhance product consistency.

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2.3 Ca²⁺-R-CO₃²⁻ System
Organic solvents (ethanol/methanol) enable precise crystallization control but raise cost/toxicity concerns. Suzuki's work reveals ethanol content critically influences conductivity and nucleation.

3. Additive Mechanisms

3.1 Inorganic Ions
Mg²⁺ extends induction periods and promotes aragonite. Fe²⁺/Cu²⁺ modulate phase stability through lattice distortion.

3.2 Soluble Polymers
Functional groups (-COOH, -NH₂) in PAA/SDBS complexes stabilize metastable phases through electrostatic interactions.

3.3 Biomacromolecules
Aspartic acid induces vaterite formation through chelation, while chitosan templates hierarchical structures.

4. Development Trends in China
a) Nano-PCC industrialization
b) Specialized product series development
c) Surface modification advancements
d) Byproduct utilization strategies

5. Conclusion
Customized PCC production requires system-specific approaches. Scaling up metastable phase synthesis and clarifying multi-additive interactions remain critical. Strategic R&D should align with domestic market needs, particularly in particle engineering - where vibrating screen integration can optimize size classification and production efficiency.