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杏鲍菇秋葵咀嚼片直接压片工艺的优化 被引量:8

Optimizing of Direct Tabletting Technology for Pleurotus eryngii-okra Chewable Tablet
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摘要 为了优选杏鲍菇秋葵咀嚼片的最佳工艺条件,采用粉末直接压片法加工杏鲍菇秋葵咀嚼片,以杏鲍菇粗多糖、杏鲍菇超细粉、黄秋葵超细粉为原料,选取片重差异、崩解时限、硬度及脆碎度的综合评定值为评价指标,利用单因素试验研究充填压力、充填深度、转台速度和原料粒度对产品质量的影响,并通过响应面优化法确定最佳工艺条件。结果表明,杏鲍菇秋葵咀嚼片的最佳工艺条件为:充填压力20k N、充填深度12 mm、转台速度20 r·min^(-1)、原料粒度260目。本研究结果为进一步综合利用杏鲍菇及黄秋葵资源提供了科学理论依据,促进了我国片剂产业的工艺创新。 The study attempted to optimize the process conditions for Pleurotus eryngii-okra chewable tablet. Crude polysaccharide of Pleurotus eryngii,ultrafine powder of Pleurotus eryngii and okra were used in powder direct tabletting method for making Pleurotus eryngii-okra chewable tablets,and the indices of tablet weight variation,disintegrating time,hardness and friability were evaluated for tablet quality. Single factor experiment was used to investigate the effects of filling pressure,filling depth,turntable speed and material particle size on tablet quality,and response surface methodology were used to determine the optimum conditions. The results showed that the optimum parameters for making Pleurotus eryngii-okra chewable tablet were filling pressure 20 k N,filling depth 12 mm,turntable speed 20 r·min^(-1) and material particle size 260 mesh. Moreover,this study provided scientific theoretical basis for further comprehensive utilization of Pleurotus eryngii and okra resources,and promoted the process innovation of the tablet industry in China.
作者 赖谱富 李怡彬 陈君琛 汤葆莎 翁敏劼 沈恒胜 LAI Pufu;LI Yibin;CHEN Junchen;TANG Baosha;WENG Minjie;SHEN Hengsheng(National R&D Center For Edible Fungi Processing/Agricultural Product Processing Research Centre,Fujian Academy of Agricultural Sciences/ Research Institute of Agri-Engineering Technology,Fujian Academy of Agricultural Sciences,Fuzhou,Fujian 35000)
出处 《核农学报》 CAS CSCD 北大核心 2018年第11期2208-2215,共8页 Journal of Nuclear Agricultural Sciences
基金 公益性行业(农业)科研专项经费项目(201503142-02) 福建省财政专项-创新团队项目(STIT2017-3-5) 莆田市科技计划项目(2016N2002)
关键词 杏鲍菇 黄秋葵 咀嚼片 直接压片 工艺优化 Pleurotus eryngii okra chewable tablet direct compression process optimization
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