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Ruiz-Gonzalez A, Kempson H, Haseloff J. Development of a Low-Cost Sensor System for Accurate Soil Assessment and Biological Activity Profiling. MICROMACHINES 2024; 15:1293. [PMID: 39597105 PMCID: PMC11596348 DOI: 10.3390/mi15111293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Revised: 10/21/2024] [Accepted: 10/21/2024] [Indexed: 11/29/2024]
Abstract
The development of low-cost tools for rapid soil assessment has become a crucial field due to the increasing demands in food production and carbon storage. However, current methods for soil evaluation are costly and cannot provide enough information about the quality of samples. This work reports for the first time a low-cost 3D printed device that can be used for soil classification as well as the study of biological activity. The system incorporated multiple physical and gas sensors for the characterisation of sample types and profiling of soil volatilome. Sensing data were obtained from 31 variables, including 18 individual light wavelengths that could be used to determine seed germination rates of tomato plants. A machine learning algorithm was trained using the data obtained by characterising 75 different soil samples. The algorithm could predict seed germination rates with high accuracy (RSMLE = 0.01, and R2 = 0.99), enabling an objective and non-invasive study of the impact of multiple environmental parameters in soil quality. To allow for a more complete profiling of soil biological activity, molecular imprinted-based fine particles were designed to quantify tryptophol, a quorum-sensing signalling molecule commonly used by fungal populations. This device could quantify the concentration of tryptophol down to 10 nM, offering the possibility of studying the interactions between fungi and bacterial populations. The final device could monitor the growth of microbial populations in soil, and offering an accurate assessment of quality at a low cost, impacting germination rates by incorporating hybrid data from the microsensors.
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Affiliation(s)
| | | | - Jim Haseloff
- Department of Plant Sciences, University of Cambridge, Downing St., Cambridge CB2 3EA, UK; (A.R.-G.); (H.K.)
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Ling J, Zhang W, Xiang P, Liao Y, Li J, Zhang Z, Ding Y. Trace detection of methcathinone in sewage using targeted extraction based on magnetic molecularly imprinted polymers coupled with liquid chromatography-tandem mass spectrometry. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:4777-4784. [PMID: 37698227 DOI: 10.1039/d3ay01224g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
Abstract
Methcathinone, a new psychoactive substance (NPS), poses a serious threat to public health. Therefore, there is an urgent need to develop a reliable, selective, sensitive and simple analytical technique for monitoring trace amounts of this target NPS in complex matrices. For this purpose, magnetic molecularly imprinted polymers (MMIPs) based on MIPs combined with nano-sized magnetic Fe3O4 were developed for the specific enrichment of methcathinone in wastewater. The binding properties and selectivity of MMIPs toward methcathinone were evaluated and compared with non-imprinted polymer (MNIPs). For sensitive and selective extraction and determination of the target methcathinone, magnetic solid-phase extraction (MSPE) based on MMIPs was combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS). Under optimized conditions, the proposed method was successfully used for the detection of methcathinone in wastewater, which provided a low limit of detection of 0.3 ng L-1 and a limit of quantification of 1.0 ng L-1 with relative standard deviations of less than 6.89% for intra- and inter-day analyses. Good linearity in the range of 1-2000 ng L-1 with a coefficient of determination (R2) greater than 0.98 was observed. Moreover, a certified reference material of water sample was successfully analyzed with satisfactory results and the recoveries of spike experiments ranged from 96.35-116.7%.
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Affiliation(s)
- Jiang Ling
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, 410013, Changsha, Hunan, China.
| | - Wenqi Zhang
- Hebei Province Public Security Department Criminal Police Corps, Shijiazhuang, Hebei, China
| | - Ping Xiang
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai, China
| | - Yingyuan Liao
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, 410013, Changsha, Hunan, China.
| | - Jiahao Li
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, 410013, Changsha, Hunan, China.
| | | | - Yanjun Ding
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, 410013, Changsha, Hunan, China.
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