Review and Recalculation of Growth and Nucleation Kinetics for Calcite, Vaterite and Amorphous Calcium Carbonate

方解石 碳酸钙 球霰石 无定形碳酸钙 成核 结晶 碳酸盐 降水 化学工程 过饱和度 文石 动力学 热力学 生物矿化 晶体生长 化学 材料科学 矿物学 溶解 形态学(生物学) 结晶度 无定形固体 物理 复合材料 气象学 量子力学 工程类
作者
Luke Bergwerff,Leon A. van Paassen
出处
期刊:Crystals [Multidisciplinary Digital Publishing Institute]
卷期号:11 (11): 1318-1318 被引量:6
标识
DOI:10.3390/cryst11111318
摘要

The precipitation of calcium carbonate is well studied in many fields of research and industry. Despite the fact that, or perhaps because of the fact that, it is well studied in many fields, different approaches have been used to describe the kinetics of the precipitation process. The aim of this study was to collect and compare the data available in the literature and find a consistent method to describe the kinetics of growth and nucleation of the various polymorphs of calcium carbonate. Inventory of the available data showed that a significant number of the literature sources were incomplete in providing the required information to recalculate the kinetic constants. Using a unified method, we obtained a unique set of parameters to describe the kinetics for growth for calcite, vaterite and amorphous calcium carbonate (ACC) and nucleation for vaterite and ACC. Recalculation of the kinetic constants demonstrated that calcite confirmed there are two growth mechanisms within one polymorph, namely pure spiral growth and spiral growth mixed with surface nucleation. The spiral growth does not show second-order growth, which is typically attributed to it. Re-evaluation of the available nucleation data confirmed the suggested existence of a second pure ACC polymorph with a solubility product between 10−5.87 and 10−5.51 mol2 kgw−2.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
cdercder应助王莹莹采纳,获得10
4秒前
Narionananana完成签到,获得积分10
6秒前
养猪人完成签到,获得积分10
6秒前
6秒前
Jiuqing发布了新的文献求助10
6秒前
6秒前
ruui应助小宇采纳,获得20
8秒前
8秒前
深情安青应助大栗子采纳,获得10
10秒前
大模型应助xuan采纳,获得10
11秒前
12秒前
molihuakai应助LDX采纳,获得10
15秒前
16秒前
卡卡完成签到,获得积分10
17秒前
酱酱C完成签到,获得积分10
18秒前
18秒前
nekoneko发布了新的文献求助10
18秒前
张欢馨应助cindy采纳,获得10
21秒前
21秒前
21秒前
大栗子发布了新的文献求助10
22秒前
拾三发布了新的文献求助10
24秒前
张欢馨应助呆呆的猕猴桃采纳,获得10
24秒前
25秒前
搜集达人应助VVV采纳,获得10
25秒前
Sakura完成签到,获得积分10
26秒前
隆咚锵发布了新的文献求助10
26秒前
27秒前
卡卡完成签到,获得积分10
28秒前
29秒前
31秒前
31秒前
Feng应助科研通管家采纳,获得10
31秒前
NCEPUHIT应助科研通管家采纳,获得10
31秒前
32秒前
33秒前
裤裤子完成签到,获得积分10
33秒前
天天快乐应助xuan采纳,获得10
36秒前
38秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583651
求助须知:如何正确求助?哪些是违规求助? 9162345
关于积分的说明 19606805
捐赠科研通 7165660
什么是DOI,文献DOI怎么找? 3266302
关于科研通互助平台的介绍 2431200
邀请新用户注册赠送积分活动 2257779