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Chen Shaoping,Wu Zonghua,Tanaka Hiroo 한국펄프·종이공학회 1999 한국펄프종이학회 기타 간행물 Vol.- No.-
The surfaces of sheets added with N-chloro-polyacrylamide (N-C1-PAM) are analyzed using X-ray photoelectron spectroscopy (XPS) to clarify the chemical bonding involved in the paper strength development induced by N-C1-PAM. The comparison of the observed N1s chemical shift of the sheet with those of the paper strength additives and the model compound, l-butyryl-3-propyl urea, illustrated the presence of covalent bonds of alkyl acyl urea and urethane on the fiber surfaces. Thus the formation of the covalent .bonds by N-CIthemselves and by N-C1-PAM with cellulose and hemicellulose may be an explanation for much higher effectiveness of N-C1-PAM on the improvement of wet strength of paper than A-PAM.
Yi Chen,Mingyong Xie,Wenjuan Li,Hui Zhang,Shaoping Nie,Yuanxing Wang,Chang Li 한국식품과학회 2012 Food Science and Biotechnology Vol.21 No.1
Deproteinization procedure is a fundamental step for analyzing polysaccharide from natural plants. In this study, in the course of refining bioactive polysaccharides from lingzhi (Ganoderma atrum), an effective deproteinization method using lead acetate solution was established by comparing with other available methods. The percentages of deproteinization, polysaccharide loss, and its antioxidant activities loss were used as the index to evaluate and optimize the precipitation experimental conditions. The results showed that the modified method, precipitation with the addition of 0.4-0.52%(w/v) lead acetate, was superior to the others, as evidenced by the highest deproteinization efficiency (88%), as well as the lowest polysaccharide loss (17%). And notably its antioxidant activity also remained good (loss 15%). It provides a simple prefractionation step for the analysis of polysaccharide from natural plants. Polysaccharide isolated by this method is in the native state. Our method may offer a rapid method for removing protein from plant polysaccharides in large scale.
Junqiao Wang,Shaoping Nie,Lijiao Kan,Haihong Chen,Steve W. Cui,Aled O. Phillips,Glyn O. Phillips,Mingyong Xie 한국식품과학회 2017 Food Science and Biotechnology Vol.26 No.1
Four polysaccharides (named as P1, P2, and P3 from three natural Cordyceps sinensis and P4 from cultured C. sinensis) were obtained by hot-water extraction and ethanol precipitation and their structural characteristics as well as antioxidant potentials were compared. Results revealed that the backbone of P1, P2, and P3 comprised α-1,4-glucose, with a branching point mainly at position 6 and terminating at glucose. On the other hand, the structure of P4 was highly complex, mainly comprising glucose, galactose, and mannose, with 1,4-glucose and 1,4-galactose as the main chain. For in vitro antioxidant assays, all the four polysaccharides showed similar scavenging capacity against DPPH and hydroxyl radicals, whereas P1 had a relatively low ferric reducing ability, possibly related to a combination of factors such as the phenolic compounds and amino acids that conjugated in polysaccharides.
Physical Internet-Enabled Manufacturing Execution System for Intelligent Workshop Production
Ray Y. Zhong,Huajun Gong,Chen Xu,Shaoping Lu 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.6
A Physical Internet-enabled Manufacturing Executive System (PIMES) is proposed for intelligent workshop production. PIMES uses Radio Frequency Identification (RFID), 433MHZ wireless communication, and Physical Internet concept to create a ubiquitous production environment where real-time data could be collected and then converted into dynamic feedback factors sent back to the system. PIMES includes several services such as Production Decision Service, Communication Control Service, Visibility Service, and Interface Service which are designed and developed by making full use of the service-oriented architecture (SOA) and Cloud technology. With the assistance of these services, PIMES is able to achieve several outperformances upon traditional production systems like paperless operations, real-time decision-making, automatic statistics and reporting, as well as visualized manufacturing control and management. After the implementation of PIMES, workshop production of a case enterprise is streamlined and optimized by making full use of the collected data to support the workshop production and logistics.