Campylobacter jejuni is a pathogen bacterium that causes foodborne gastroenteritis in humans. However, phenolic compounds extracted from natural sources such as capsicum pepper plant (Capsicum annuum L. var. aviculare) could inhibit the growth of C. jejuni. Therefore, different extracts were prepared using ultrasonic extraction (USE), conventional extraction (CE) and thermosonic extraction (TSE). C. jejuni was then exposed to chili extracts to examine the antimicrobial effect and their growth/death bacterial kinetics were studied using different mathematical models. Atomic force microscopy was applied to investigate the microstructural and nanomechanical changes in the bacteria. Extracts obtained by TSE had the highest phenolic content (4.59 ± 0.03 mg/g of chili fresh weight [FW]) in comparison to USE (4.12 ± 0.05 mg/g of chili FW) and CE (4.28 ± 0.07 mg/g of chili FW). The inactivation of C. jejuni was more efficient when thermosonic extract was used. The Gompertz model was the most suitable mathematical model to describe the inactivation kinetics of C. jejuni. Roughness and nanomechanical analysis performed by atomic force microscopy (AFM) provided evidence that the chili extracts had significant effects on morphology, surface, and the reduced Young's modulus of C. jejuni. The novelty of this work was integrating growth/death bacterial kinetics of C. jejuni using different mathematical models and chili extracts, and its relationship with the morphological, topographic and nanomechanical changes estimated by AFM.
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http://dx.doi.org/10.1016/j.micron.2021.103183 | DOI Listing |
Front Plant Sci
December 2024
School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou, China.
In the cultivation of green chili peppers, the similarity between the fruit and background color, along with severe occlusion between fruits and leaves, significantly reduces the efficiency of harvesting robots. While increasing model depth can enhance detection accuracy, complex models are often difficult to deploy on low-cost agricultural devices. This paper presents an improved lightweight Pepper-YOLO model based on YOLOv8n-Pose, designed for simultaneous detection of green chili peppers and picking points.
View Article and Find Full Text PDFBiomed Chromatogr
January 2025
Department of Pharmacognosy, NETES Institute of Pharmaceutical Science, NEMCARE Group of Institution, Mirza, Assam, India.
Naga chilli (Capsicum chinense Jacq.) have garnered significant attention due to the plant's possible health benefits and variety of phytochemical components. Utilizing cutting-edge analytical techniques such as gas chromatography-mass spectrometry (GC-MS) and high-performance thin layer chromatography (HPTLC) in conjunction with bioautography, this study conducts a thorough phytochemical profiling and biological activity assessment of the Naga chilli plant.
View Article and Find Full Text PDFTalanta
December 2024
Department of Chemistry and Research Institute for Convergence of Basic Science, Hanyang University, Seoul, 04763, Republic of Korea. Electronic address:
This study explored convolutional autoencoder (CAE)-based feature extraction from entire two-trace two-dimensional (2T2D) correlation maps as a promising tool to enhance the accuracy of vibrational spectroscopy-based discriminant analysis. Although 2T2D correlation maps constructed using only a pair of spectra were effective to highlight minute spectral differences, there was an excessive number of features (variables). Thus, only slice spectra at a wavenumber chosen from the map were typically used for discriminant analysis.
View Article and Find Full Text PDFInt J Mol Sci
November 2024
Department of Microbiology, Faculty of Science, Srinakharinwirot University, Bangkok 10110, Thailand.
Chili anthracnose, caused by , causes significant yield loss in chili production. In this study, we investigated the elicitor properties of a rhamnolipid (RL)-enriched PA3 fraction derived from SWUC02 in inducing systemic resistance in yellow chili seedlings and antifungal activity against CFPL01 (Col). Fractionation of the ethyl acetate extract yielded 12 fractions, with PA3 demonstrating the most effective disease suppression, reducing the disease severity index to 4 ± 7.
View Article and Find Full Text PDFJ AOAC Int
December 2024
Fera Science Ltd Sand Hutton, York, YO41 1LZ.
Background: The 11+Myco MS-PREP® Immunoaffinity Column (IAC) contains a gel suspension of monoclonal antibodies specific to the toxins of interest. Following sample extraction, the IAC is used for cleanup and concentration of mycotoxins prior to analysis by Liquid Chromatography with Tandem Mass Spectrometry (LC-MS/MS).
Objective: This study evaluated the IAC with LC-MS/MS method for Performance Tested Methods SM certification for simultaneous determination and confirmation of Aflatoxins B1, B2, G1, G2, and M1; Deoxynivalenol, Fumonisins B1, B2, and B3; Ochratoxin A; T-2; HT-2; and Zearalenone from corn, wheat, cereal-based baby food (with and without dairy ingredients), paprika, chili powder and animal feed.
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