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Pectin is widely used in the food and pharmaceutical industries. However, data on sweet potato pectin extraction and structural property analyses are lacking. Here, for the high-value utilization of agricultural processing waste, sweet potato residue, a byproduct of sweet potato starch processing, was used as raw material. Ammonium oxalate, trisodium citrate, disodium hydrogen phosphate, hydrochloric acid and citric acid were used as extractants for the pectin constituents, among which ammonium oxalate had a high extraction rate of sweet potato pectin, low ash content and high molecular weight. Structural and gelation analyses were conducted on ammonium oxalate-extracted purified sweet potato pectin (AMOP). Analyses showed that AMOP is a rhamnogalacturonan-I-type pectin, with a molecular weight of 192.5 kg/mol. Chemical titration and infrared spectroscopy analysis confirmed that AMOP is a low-ester pectin, and scanning electron and atomic force microscopy demonstrated its linear molecular structure. Gelation studies have revealed that Ca2+ is the key factor for gel formation, and that sucrose significantly enhanced gel hardness. The highest AMOP gel hardness was observed at pH 4, with a Ca2+ concentration of 30 mg/g, pectin concentration of 2%, and sucrose concentration of 40%, reaching 128.87 g. These results provide a foundation for sweet potato pectin production and applications.

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OBJECTIVES: The aim of this work was to study the changes of bacterial cell growth, acetion formation and glucose consumption with fermentation time during batch cultivation. RESULTS: A mathematical model of cell growth, product synthesis, and substrate consumption changes with time during the batch cultivation of acetion was established. By analyzing the fitting curve of the kinetic model, it is found that the calculated value of the model fits well with the experimental value, and the fitting model R2 is greater than 0.98. CONCLUSIONS: The kinetic model established in this experiment can better reflect the batch cultivation process of acetion.

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Optical imaging for non-self-luminous objects surrounded by complex scattering environments is scientifically challenging and technologically important. We propose a non-invasive imaging method by externally sending the illuminating light through the scattering medium and by detecting and analyzing the speckle patterns. The imaging of the object is recovered by extending the application scope of the Fourier-domain shower-curtain effect. It is found that the imaging depth is substantially extended and that faster imaging restoration is realized with the improved illumination scheme assisted with optical lenses, hence making it possible to apply the non-invasive optical imaging technique for practical applications.

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Microbial fermentation has become the main method to produce target compound. In this study, a 2-Keto-D-gluconic acid (2-KGA) producing mutant strain was obtained by mutation with rational screening methods. Meanwhile, prodigiosin was produced when the nitrogen source in the medium was changed to peptone and its fermentation conditions were evaluated to achieve high-efficient accumulation. The mutant strain SDSPY-136 was firstly identified as Serratia marcescens by morphological observation and 16S rDNA sequencing. The 2-KGA synthetic capacity of S. marcescens SDSPY-136 was evaluated by shake fermentation with 110 g/L glucose as substrates. For fermentation, 2-KGA yield, conversation rate and purity of SDSPY-136 reached 104.60 g/L, 95.10%, 99.11% in 72 h. The red pigment was extracted from the fermentation broth using acidic methanol and identified as prodigiosin by FT-IR. The optimal conditions were as follows: glycerol 20 g/L, peptone 20 g/L, MgSO415 g/L, pH 6.0, a 2% (v/v) inoculum, 30 °C and 200 rpm of shaking culture. Eventually, prodigiosin reached a yield of 9.89 g/Lafter shake culturing for 50 h under this condition. The mutant S. marcescens SDSPY-136 was shown to be promising for 2-KGA and prodigiosin production and a suitable object for prodigiosin metabolism research of S. marcescens.

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